Table of Contents

• SeeTheSeams: Localized Detection of Seam Carving based Image Forgery in Satellite ImageryChandrakanth Gudavalli, Erik Rosten, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B. S. Manjunath. 1-11 [doi]
• CORE: Consistent Representation Learning for Face Forgery DetectionYunsheng Ni, Depu Meng, Changqian Yu, Chengbin Quan, Dongchun Ren, Youjian Zhao. 12-21 [doi]
• SISL: Self-Supervised Image Signature Learning for Splicing Detection & LocalizationSusmit Agrawal, Prabhat Kumar, Siddharth Seth, Toufiq Parag, Maneesh Singh 0001, R. Venkatesh Babu. 22-32 [doi]
• ARIA: Adversarially Robust Image Attribution for Content ProvenanceMaksym Andriushchenko, Xiaoyang Rebecca Li, Geoffrey Oxholm, Thomas Gittings, Tu Bui, Nicolas Flammarion, John P. Collomosse. 33-43 [doi]
• The Reliability of Forensic Body-Shape IdentificationNeerja Thakkar, Georgios Pavlakos, Hany Farid. 44-52 [doi]
• Detecting Real-Time Deep-Fake Videos Using Active IlluminationCandice R. Gerstner, Hany Farid. 53-60 [doi]
• On the Exploitation of Deepfake Model RecognitionLuca Guarnera, Oliver Giudice, Matthias Nießner, Sebastiano Battiato. 61-70 [doi]
• Is synthetic voice detection research going into the right direction?Stefano Borzì, Oliver Giudice, Filippo Stanco, Dario Allegra. 71-80 [doi]
• GCA-Net : Utilizing Gated Context Attention for Improving Image Forgery Localization and DetectionSowmen Das, Md. Saiful Islam, Md. Ruhul Amin. 81-90 [doi]
• On Improving Cross-dataset Generalization of Deepfake DetectorsAakash Varma Nadimpalli, Ajita Rattani. 91-99 [doi]
• Rethinking Adversarial Examples in WargamesYuwei Chen. 100-106 [doi]
• Privacy Leakage of Adversarial Training Models in Federated Learning SystemsJingyang Zhang, Yiran Chen 0001, Hai Helen Li. 107-113 [doi]
• Towards Comprehensive Testing on the Robustness of Cooperative Multi-agent Reinforcement LearningJun Guo, Yonghong Chen, Yihang Hao, Zixin Yin, Yin Yu, Simin Li. 114-121 [doi]
• Robustness and Adaptation to Hidden Factors of VariationWilliam Paul, Philippe Burlina. 122-129 [doi]
• PAT: Pseudo-Adversarial Training For Detecting Adversarial VideosNupur Thakur, Baoxin Li. 130-137 [doi]
• Adversarial Robustness through the Lens of Convolutional FiltersPaul Gavrikov, Janis Keuper. 138-146 [doi]
• Strengthening the Transferability of Adversarial Examples Using Advanced Looking Ahead and Self-CutMixDonggon Jang, Sanghyeok Son, Dae-Shik Kim. 147-154 [doi]
• AugLy: Data Augmentations for Adversarial RobustnessZoë Papakipos, Joanna Bitton. 155-162 [doi]
• RODD: A Self-Supervised Approach for Robust Out-of-Distribution DetectionUmar Khalid, Ashkan Esmaeili, Nazmul Karim, Nazanin Rahnavard. 163-170 [doi]
• An Empirical study of Data-Free Quantization's Tuning RobustnessHong Chen, Yuxuan Wen, Yifu Ding, Zhen Yang, Yufei Guo, Haotong Qin. 171-177 [doi]
• Exploring Robustness Connection between Artificial and Natural Adversarial ExamplesAkshay Agarwal 0001, Nalini K. Ratha, Mayank Vatsa, Richa Singh 0001. 178-185 [doi]
• Generalizing Adversarial Explanations with Grad-CAMTanmay Chakraborty, Utkarsh Trehan, Khawla Mallat, Jean-Luc Dugelay. 186-192 [doi]
• CorrGAN: Input Transformation Technique Against Natural CorruptionsMirazul Haque, Christof J. Budnik, Wei Yang 0013. 193-196 [doi]
• Poisons that are learned faster are more effectivePedro Sandoval Segura, Vasu Singla, Liam Fowl, Jonas Geiping, Micah Goldblum, David Jacobs 0001, Tom Goldstein. 197-204 [doi]
• Adversarial Machine Learning Attacks Against Video Anomaly Detection SystemsFurkan Mumcu, Keval Doshi, Yasin Yilmaz. 205-212 [doi]
• Variational Autoencoders for Generating Hyperspectral Imaging Honey Adulteration DataTessa Phillips, Waleed H. Abdulla. 213-220 [doi]
• TMVNet : Using Transformers for Multi-view Voxel-based 3D ReconstructionKebin Peng, Rifatul Islam, John Quarles, Kevin Desai. 221-229 [doi]
• Unsupervised Anomaly Detection from Time-of-Flight Depth ImagesPascal Schneider, Jason R. Rambach, Bruno Mirbach, Didier Stricker. 230-239 [doi]
• Augmentation of Atmospheric Turbulence Effects on Thermal Adapted Object Detection ModelsEngin Uzun, Ahmet Anil Dursun, Erdem Akagündüz. 240-247 [doi]
• A Two-Stage Shake-Shake Network for Long-Tailed Recognition of SAR Aerial View ObjectsGongzhe Li, Linpeng Pan, Linwei Qiu, Zhiwen Tan, Fengying Xie, Haopeng Zhang 0001. 248-255 [doi]
• Deep Neural Network with Walsh-Hadamard Transform Layer For Ember Detection during a WildfireHongyi Pan, Diaa Badawi, Chang Chen, Adam Watts, Erdem Koyuncu, Ahmet Enis Çetin. 256-265 [doi]
• From Less to More: Spectral Splitting and Aggregation Network for Hyperspectral Face Super-ResolutionJunjun Jiang, Chenyang Wang, Xianming Liu, Kui Jiang, Jiayi Ma 0001. 266-275 [doi]
• Multiple Object Detection and Tracking in the Thermal SpectrumWassim A. El Ahmar, Dhanvin Kolhatkar, Farzan Erlik Nowruzi, Hamzah Alghamdi, Jonathan Hou, Robert Laganière. 276-284 [doi]
• Semantic Segmentation for Thermal Images: A Comparative SurveyZülfiye Kütük, Görkem Algan. 285-294 [doi]
• AquaGAN: Restoration of Underwater ImagesChaitra Desai, Badduri Sai Sudheer Reddy, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi. 295-303 [doi]
• Pseudo-label Generation and Various Data Augmentation for Semi-Supervised Hyperspectral Object DetectionJun Yu 0001, Liwen Zhang, Shenshen Du, Hao Chang, Keda Lu, Zhong Zhang, Ye Yu, Lei Wang, Qiang Ling. 304-311 [doi]
• HSI-Guided Intrinsic Image Decomposition for Outdoor ScenesFan Zhang, Shaodi You, Yu Li, Ying Fu. 312-321 [doi]
• 3DRRDB: Super Resolution of Multiple Remote Sensing Images using 3D Residual in Residual Dense BlocksMohamed Ramzy Ibrahim, Robert Benavente, Felipe Lumbreras, Daniel Ponsa. 322-331 [doi]
• Cross-modal Image Synthesis within Dual-Energy X-ray Security ImageryBrian K. S. Isaac-Medina, Neelanjan Bhowmik, Chris G. Willcocks, Toby P. Breckon. 332-340 [doi]
• CIPPSRNet: A Camera Internal Parameters Perception Network Based Contrastive Learning for Thermal Image Super-ResolutionKai Wang, Qigong Sun, Yicheng Wang, Huiyuan Wei, Chonghua Lv, Xiaolin Tian, Xu Liu. 341-348 [doi]
• Multi-modal Aerial View Object Classification Challenge Results - PBVS 2022Spencer Low, Oliver Nina, Ángel D. Sappa, Erik Blasch, Nathan Inkawhich. 349-357 [doi]
• Lidar Positioning for Indoor Precision NavigationMax Holmberg, Oskar Karlsson, Michael Tulldahl. 358-367 [doi]
• Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared ImageryNeelanjan Bhowmik, Jack W. Barker, Yona Falinie A. Gaus, Toby P. Breckon. 368-377 [doi]
• Depthwise Convolution For Compact Object Detector In nighttime ImagesHeena Patel, Kalpesh Prajapati, Anjali Sarvaiya, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch 0001. 378-388 [doi]
• Semi-Supervised Hyperspectral Object Detection Challenge Results - PBVS 2022Aneesh Rangnekar, Zachary Mulhollan, Anthony Vodacek, Matthew J. Hoffman 0001, Angel Sappa, Erik Blasch, Jun Yu, Liwen Zhang, Shenshen Du, Hao Chang, Keda Lu, Zhong Zhang, Fang Gao, Ye Yu, Feng Shuang 0002, Lei Wang, Qiang Ling, Pranjay Shyam, Kuk-Jin Yoon, Kyung Soo Kim. 389-397 [doi]
• ActAR: Actor-Driven Pose Embeddings for Video Action RecognitionSoufiane Lamghari, Guillaume-Alexandre Bilodeau, Nicolas Saunier. 398-407 [doi]
• GAF-NAU: Gramian Angular Field encoded Neighborhood Attention U-Net for Pixel-Wise Hyperspectral Image ClassificationPaheding Sidike, Abel A. Reyes, Anush Kasaragod, Thomas Oommen. 408-416 [doi]
• Thermal Image Super-Resolution Challenge Results - PBVS 2022Rafael E. Rivadeneira, Angel Domingo Sappa, Boris Xavier Vintimilla, Jin Kim, Dogun Kim, Zhihao Li, Yingchun Jian, Bo Yan, Leilei Cao, Fengliang Qi, Hongbin Wang, Rongyuan Wu, Lingchen Sun, Yongqiang Zhao 0001, Lin Li, Kai Wang, Yicheng Wang, Xuanming Zhang, Huiyuan Wei, Chonghua Lv, Qigong Sun, Xiaolin Tian, Zhuang Jia, Jiakui Hu, Chenyang Wang, Zhiwei Zhong, Xianming Liu, Junjun Jiang. 417-425 [doi]
• A Multiview Depth-based Motion Capture Benchmark Dataset for Human Motion Denoising and Enhancement ResearchNate Lannan, Le Zhou, Guoliang Fan. 426-435 [doi]
• Blind Non-Uniform Motion Deblurring using Atrous Spatial Pyramid Deformable Convolution and Deblurring-Reblurring ConsistencyDong Huo, Abbas Masoumzadeh, Yee-Hong Yang. 436-445 [doi]
• Nonuniformly Dehaze Network for Visible Remote Sensing ImagesZhaojie Chen, Qi Li, Huajun Feng, Zhihai Xu, Yueting Chen. 446-455 [doi]
• Transformer for Single Image Super-ResolutionZhisheng Lu, Juncheng Li 0008, Hong Liu, Chaoyan Huang, Linlin Zhang, Tieyong Zeng. 456-465 [doi]
• NL-FFC: Non-Local Fast Fourier Convolution for Image Super ResolutionAbhishek Kumar Sinha, S. Manthira Moorthi, Debajyoti Dhar. 466-475 [doi]
• Zoom-to-Inpaint: Image Inpainting with High-Frequency DetailsSoo Ye Kim, Kfir Aberman, Nori Kanazawa, Rahul Garg, Neal Wadhwa, Huiwen Chang, Nikhil Karnad, Munchurl Kim, Orly Liba. 476-486 [doi]
• Underwater Light Field Retention : Neural Rendering for Underwater ImagingTian Ye, Sixiang Chen, Yun Liu, Yi Ye, Erkang Chen, Yuche Li. 487-496 [doi]
• Online Meta Adaptation for Variable-Rate Learned Image CompressionWei Jiang, Wei Wang, Songnan Li, Shan Liu. 497-505 [doi]
• Dual-Domain Image Synthesis using Segmentation-Guided GANDena Bazazian, Andrew Calway, Dima Damen. 506-515 [doi]
• Identity Preserving Loss for Learned Image CompressionJiuhong Xiao, Lavisha Aggarwal, Prithviraj Banerjee, Manoj Aggarwal, Gerard Medioni. 516-525 [doi]
• A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper BoundsWenlong Zhang, Guangyuan Shi, Yihao Liu, Chao Dong, Xiao-Ming Wu. 526-535 [doi]
• Exploiting Distortion Information for Multi-degraded Image RestorationWooksu Shin, Namhyuk Ahn, Jeong-Hyeon Moon, Kyung-Ah Sohn. 536-545 [doi]
• Multi-Bracket High Dynamic Range Imaging with Event CamerasNico Messikommer, Stamatios Georgoulis, Daniel Gehrig, Stepan Tulyakov, Julius Erbach, Alfredo Bochicchio, Yuanyou Li, Davide Scaramuzza 0001. 546-556 [doi]
• Multiple Degradation and Reconstruction Network for Single Image Denoising via Knowledge DistillationJuncheng Li 0003, Hanhui Yang, Qiaosi Yi, Faming Fang, Guangwei Gao, Tieyong Zeng, Guixu Zhang. 557-566 [doi]
• Dual Heterogeneous Complementary Networks for Single Image DerainingYuuto Nanba, Hikaru Miyata, Xian-Hua Han. 567-576 [doi]
• Patch-wise Contrastive Style Learning for Instagram Filter RemovalFurkan Kinli, Baris Özcan, Furkan Kiraç. 577-587 [doi]
• DRT: A Lightweight Single Image Deraining Recursive TransformerYuanchu Liang, Saeed Anwar, Yang Liu. 588-597 [doi]
• Towards Real-world Shadow Removal with a Shadow Simulation Method and a Two-stage FrameworkJianhao Gao, Quanlong Zheng, Yandong Guo. 598-607 [doi]
• Deep Image Interpolation: A Unified Unsupervised Framework for PansharpeningJianhao Gao, Jie Li, Xin Su, Menghui Jiang, Qiangqiang Yuan. 608-617 [doi]
• Boundary-aware Image Inpainting with Multiple Auxiliary CuesYohei Yamashita, Kodai Shimosato, Norimichi Ukita. 618-628 [doi]
• GenISP: Neural ISP for Low-Light Machine CognitionIgor Morawski, Yu-An Chen, Yu-sheng Lin, Shusil Dangi, Kai He, Winston H. Hsu. 629-638 [doi]
• Nighttime Image Dehazing Based on Variational Decomposition ModelYun Liu, Zhongsheng Yan, Aimin Wu, Tian Ye, Yuche Li. 639-648 [doi]
• AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex NoiseJulian Wyatt, Adam Leach, Sebastian M. Schmon, Chris G. Willcocks. 649-655 [doi]
• VFHQ: A High-Quality Dataset and Benchmark for Video Face Super-ResolutionLiangbin Xie, Xintao Wang, Honglun Zhang, Chao Dong, Ying Shan. 656-665 [doi]
• Unpaired Face Restoration via Learnable Cross-Quality ShiftYangyi Dong, Xiaoyun Zhang, Zhixin Wang, Ya Zhang, Siheng Chen, Yanfeng Wang. 666-674 [doi]
• Exposure Correction Model to Enhance Image QualityFevziye Irem Eyiokur, Dogucan Yaman, Hazim Kemal Ekenel, Alexander Waibel. 675-685 [doi]
• Complete and temporally consistent video outpaintingLoïc Dehan, Wiebe Van Ranst, Patrick Vandewalle, Toon Goedemé. 686-694 [doi]
• Alpha Matte Generation from Single Input for Portrait MattingDogucan Yaman, Hazim Kemal Ekenel, Alexander Waibel. 695-704 [doi]
• A New Dataset and Transformer for Stereoscopic Video Super-ResolutionHassan Imani, Md Baharul Islam, Lai-Kuan Wong. 705-714 [doi]
• Comparison of CoModGANs, LaMa and GLIDE for Art Inpainting Completing M.C Escher's Print GalleryLucia Cipolina-Kun, Simone Caenazzo, Gaston Mazzei. 715-723 [doi]
• Multi-encoder Network for Parameter Reduction of a Kernel-based Interpolation ArchitectureIssa Khalifeh, Marc Górriz Blanch, Ebroul Izquierdo, Marta Mrak. 724-733 [doi]
• A robust non-blind deblurring method using deep denoiser priorYingying Fang, Hao Zhang, Hok Shing Wong, Tieyong Zeng. 734-743 [doi]
• MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral ReconstructionYuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, Luc Van Gool. 744-754 [doi]
• IMDeception: Grouped Information Distilling Super-Resolution NetworkMustafa Ayazoglu. 755-764 [doi]
• Residual Local Feature Network for Efficient Super-ResolutionFangyuan Kong, Mingxi Li, Songwei Liu, Ding Liu, Jingwen He, Yang Bai, Fangmin Chen, Lean Fu. 765-775 [doi]
• Edge-enhanced Feature Distillation Network for Efficient Super-ResolutionYan Wang. 776-784 [doi]
• NTIRE 2022 Challenge on Learning the Super-Resolution SpaceAndreas Lugmayr, Martin Danelljan, Radu Timofte, Kang-Wook Kim, Younggeun Kim, Jae Young Lee, Zechao Li, Jinshan Pan, Dongseok Shim, Ki-Ung Song, Jinhui Tang 0001, Cong Wang, Zhihao Zhao. 785-796 [doi]
• Unpaired Real-World Super-Resolution with Pseudo Controllable RestorationAndrés Romero, Luc Van Gool, Radu Timofte. 797-806 [doi]
• LAN: Lightweight Attention-based Network for RAW-to-RGB Smartphone Image ProcessingDaniel Wirzberger Raimundo, Andrey Ignatov, Radu Timofte. 807-815 [doi]
• Efficient Image Super-Resolution with Collapsible Linear BlocksLi Wang, Dong Li, Lu Tian, Yi Shan. 816-822 [doi]
• A Lightweight Network for High Dynamic Range ImagingQingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong. 823-831 [doi]
• Blueprint Separable Residual Network for Efficient Image Super-ResolutionZheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Jinjin Gu, Yu Qiao, Chao Dong. 832-842 [doi]
• DRHDR: A Dual branch Residual Network for Multi-Bracket High Dynamic Range ImagingJuan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger. 843-851 [doi]
• Fast and Memory-Efficient Network Towards Efficient Image Super-ResolutionZongcai Du, Ding Liu, Jie Liu 0040, Jie Tang 0006, Gangshan Wu, Lean Fu. 852-861 [doi]
• NTIRE 2022 Spectral Recovery Challenge and Data SetBoaz Arad, Radu Timofte, Rony Yahel, Nimrod Morag, Amir Bernat, Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Luc Van Gool, Shuai Liu, Yongqiang Li, Chaoyu Feng, Lei Lei, Jiaojiao Li, Songcheng Du, Chaoxiong Wu, Yihong Leng, Rui Song 0003, Mingwei Zhang, Chongxing Song, Shuyi Zhao, Zhiqiang Lang, Wei Wei, Lei Zhang, Renwei Dian, Tianci Shan, Anjing Guo, Chengguo Feng, Jinyang Liu, Mirko Agarla, Simone Bianco 0001, Marco Buzzelli, Luigi Celona, Raimondo Schettini, Jiang He, Yi Xiao, Jiajun Xiao, Qiangqiang Yuan, Jie Li, Liangpei Zhang, Taesung Kwon, Dohoon Ryu, Hyokyoung Bae, Hao-Hsiang Yang, Hua-En Chang, Zhi-Kai Huang, Wei-Ting Chen, Sy-Yen Kuo, Junyu Chen, Haiwei Li, Song Liu, Sabari Nathan, K. Uma, B. Sathya Bama, S. Mohamed Mansoor Roomi. 862-880 [doi]
• NTIRE 2022 Spectral Demosaicing Challenge and Data SetBoaz Arad, Radu Timofte, Rony Yahel, Nimrod Morag, Amir Bernat, Yaqi Wu, Xun Wu, Zhihao Fan, Chenjie Xia, Feng Zhang, Shuai Liu, Yongqiang Li, Chaoyu Feng, Lei Lei, Mingwei Zhang, Kai-Feng, Xun Zhang, Jiaxin Yao, Yongqiang Zhao, Suina Ma, Fan He, Yangyang Dong, Shufang Yu, Difa Qiu, Jinhui Liu, Mengzhao Bi, Beibei Song, Wenfang Sun, Jiesi Zheng, Bowen Zhao, Yanpeng Cao, Jiangxin Yang, Yanlong Cao, Xiangyu Kong, Jingbo Yu, Yuanyang Xue, Zheng Xie. 881-895 [doi]
• Rendering Nighttime Image Via Cascaded Color and Brightness CompensationZhihao Li, Si Yi, Zhan Ma. 896-904 [doi]
• NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and ResultsLongguang Wang, Yulan Guo, Yingqian Wang 0002, Juncheng Li 0003, Shuhang Gu, Radu Timofte, Liangyu Chen 0002, Xiaojie Chu, Wenqing Yu, Kai Jin, Zeqiang Wei, Sha Guo, Angulia Yang, Xiuzhuang Zhou, Guodong Guo, Bin Dai, Feiyue Peng, Huaxin Xiao, Shen Yan, Yuxiang Liu, Hanxiao Cai, Pu Cao, Yang Nie, Lu Yang, Qing Song, Xiaotao Hu, Jun Xu, Mai Xu, Junpeng Jing, Xin Deng 0002, Qunliang Xing, Minglang Qiao, Zhenyu Guan, Wenlong Guo, Chenxu Peng, Zan Chen, Junyang Chen, Hao Li, Junbin Chen, Weijie Li, Zhijing Yang, Gen Li, Aijin Li, Lei Sun, Dafeng Zhang, Shizhuo Liu, Jiangtao Zhang, Yanyun Qu, Hao-Hsiang Yang, Zhi-Kai Huang, Wei-Ting Chen, Hua-En Chang, Sy-Yen Kuo, Qiaohui Liang, Jianxin Lin, Yijun Wang, Lianying Yin, Rongju Zhang, Wei Zhao, Peng Xiao, Rongjian Xu, Zhilu Zhang, Wangmeng Zuo, Hansheng Guo, Guangwei Gao, Tieyong Zeng, Huicheng Pi, Shunli Zhang, Joohyeok Kim, HyeonA Kim, Eunpil Park, Jae-Young Sim, Jucai Zhai, Pengcheng Zeng, Yang Liu, Chihao Ma, Yulin Huang, Junying Chen. 905-918 [doi]
• SwiniPASSR: Swin Transformer based Parallax Attention Network for Stereo Image Super-ResolutionKai Jin, Zeqiang Wei, Angulia Yang, Sha Guo, Mingzhi Gao, Xiuzhuang Zhou, Guodong Guo. 919-928 [doi]
• Self-Calibrated Efficient Transformer for Lightweight Super-ResolutionWenbin Zou, Tian Ye, Weixin Zheng, Yunchen Zhang, Liang Chen, Yi Wu 0010. 929-938 [doi]
• Conformer and Blind Noisy Students for Improved Image Quality AssessmentMarcos V. Conde, Maxime Burchi, Radu Timofte. 939-949 [doi]
• NTIRE 2022 Challenge on Perceptual Image Quality AssessmentJinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Radu Timofte, Yuan Gong, Shanshan Lao, Shuwei Shi, Jiahao Wang, Sidi Yang, Tianhe Wu, Weihao Xia, Yujiu Yang, Mingdeng Cao, Cong Heng, Lingzhi Fu, Rongyu Zhang, Yusheng Zhang, Hao Wang, Hongjian Song, Jing Wang, Haotian Fan, Xiaoxia Hou, Ming Sun, Mading Li, Kai Zhao, Kun Yuan, Zishang Kong, Mingda Wu, Chuanchuan Zheng, Marcos V. Conde, Maxime Burchi, Longtao Feng, Tao Zhang, Yang Li, Jingwen Xu, Haiqiang Wang, Yiting Liao, Junlin Li, Kele Xu, Tao Sun, Yunsheng Xiong, Abhisek Keshari, Komal, Sadbhawana Thakur, Vinit Jakhetiya, Badri N. Subudhi, Hao-Hsiang Yang, Hua-En Chang, Zhi-Kai Huang, Wei-Ting Chen, Sy-Yen Kuo, Saikat Dutta 0002, Sourya Dipta Das, Nisarg A. Shah, Anil Kumar Tiwari. 950-966 [doi]
• FS-NCSR: Increasing Diversity of the Super-Resolution Space via Frequency Separation and Noise-Conditioned Normalizing FlowKi-Ung Song, Dongseok Shim, Kang-Wook Kim, Jae Young Lee, Younggeun Kim. 967-976 [doi]
• Image Multi-Inpainting via Progressive Generative Adversarial NetworksJiayin Cai, Changlin Li, Xin Tao, Yu-Wing Tai. 977-986 [doi]
• Do What You Can, With What You Have: Scale-aware and High Quality Monocular Depth Estimation Without Real World LabelsKunal Swami, Amrit Muduli, Uttam Gurram, Pankaj Bajpai. 987-996 [doi]
• BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable AlignmentZiwei Luo, Youwei Li, Shen Cheng, Lei Yu, Qi Wu, Zhihong Wen, Haoqiang Fan, Jian Sun, Shuaicheng Liu. 997-1007 [doi]
• NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and ResultsEduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Ales Leonardis, Radu Timofte, Zexin Zhang, Cen Liu, Yunbo Peng, Yue Lin, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Chunyang Li, Long Bao, Gang He 0002, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Jinjing Li, Chenghua Li, Ruipeng Gang, Fangya Li, Chenming Liu, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Fangya Li, Ruipeng Gang, Chenghua Li, Jinjing Li, Sai Ma, Chenming Liu, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander Holston, Sheir Zaheer, Chan Y. Park. 1008-1022 [doi]
• Progressive Training of A Two-Stage Framework for Video RestorationMeisong Zheng, Qunliang Xing, Minglang Qiao, Mai Xu, Lai Jiang, Huaida Liu, Ying Chen. 1023-1030 [doi]
• Gamma-enhanced Spatial Attention Network for Efficient High Dynamic Range ImagingFangya Li, Ruipeng Gang, Chenghua Li, Jinjing Li, Sai Ma, Chenming Liu, Yizhen Cao. 1031-1039 [doi]
• NTIRE 2022 Burst Super-Resolution ChallengeGoutam Bhat, Martin Danelljan, Radu Timofte, Yizhen Cao, Yuntian Cao, Meiya Chen, Xihao Chen, Shen Cheng, Akshay Dudhane, Haoqiang Fan, Ruipeng Gang, Jian Gao, Yan Gu, Jie Huang, Liufeng Huang, Youngsu Jo, Sukju Kang, Salman Khan 0001, Fahad Shahbaz Khan, Yuki Kondo, Chenghua Li, Fangya Li, Jinjing Li, Youwei Li, Zechao Li, Chenming Liu, Shuaicheng Liu, Zikun Liu, Zhuoming Liu, Ziwei Luo, Zhengxiong Luo, Nancy Mehta, Subrahmanyam Murala, Yoonchan Nam, Chihiro Nakatani, Pavel Ostyakov, Jinshan Pan, Ge Song, Jian Sun, Long Sun, Jinhui Tang 0001, Norimichi Ukita, Zhihong Wen, Qi Wu, Xiaohe Wu, Zeyu Xiao, Zhiwei Xiong, Rongjian Xu, Ruikang Xu, Youliang Yan, Jialin Yang, Wentao Yang, Zhongbao Yang, Fuma Yasue, Mingde Yao, Lei Yu, Cong Zhang, Syed Waqas Zamir, Jianxing Zhang, Shuohao Zhang, Zhilu Zhang, Qian Zheng, Gaofeng Zhou, Magauiya Zhussip, Xueyi Zou, Wangmeng Zuo. 1040-1060 [doi]
• NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and ResultsYawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua 0001, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan 0001, Munawar Hayat, Fahad Shahbaz Khan, DanDan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Dengwen Zhou, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang. 1061-1101 [doi]
• A Hybrid Network of CNN and Transformer for Lightweight Image Super-ResolutionJinsheng Fang, Hanjiang Lin, Xinyu Chen, Kun Zeng. 1102-1111 [doi]
• Motion Aware Double Attention Network for Dynamic Scene DeblurringDan Yang, Mehmet Yamac. 1112-1122 [doi]
• Efficient Progressive High Dynamic Range Image Restoration via Attention and Alignment NetworkGaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang. 1123-1130 [doi]
• Fast-n-Squeeze: towards real-time spectral reconstruction from RGB imagesMirko Agarla, Simone Bianco 0001, Marco Buzzelli, Luigi Celona, Raimondo Schettini. 1131-1138 [doi]
• Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment NetworkShanshan Lao, Yuan Gong, Shuwei Shi, Sidi Yang, Tianhe Wu, Jiahao Wang, Weihao Xia, Yujiu Yang. 1139-1148 [doi]
• NTIRE 2022 Image Inpainting Challenge: ReportAndrés Romero, Angela Castillo, Jose Abril-Nova, Radu Timofte, Ritwik Das, Sanchit Hira, Zhihong Pan 0001, Min Zhang, Baopu Li, Dongliang He, Tianwei Lin, Fu Li, Chengyue Wu, Xianming Liu, Xinying Wang, Yi Yu, Jie Yang, RenGang Li, Yaqian Zhao, Zhenhua Guo 0003, Baoyu Fan, Xiaochuan Li, Runze Zhang, Zeyu Lu, Junqin Huang, Gang Wu, Junjun Jiang, Jiayin Cai, Changlin Li, Xin Tao, Yu-Wing Tai, Xiaoqiang Zhou, Huaibo Huang. 1149-1181 [doi]
• Bidirectional Motion Estimation with Cyclic Cost Volume for High Dynamic Range ImagingAn Gia Vien, Seonghyun Park 0003, Truong Thanh Nhat Mai, Gahyeon Kim, Chul Lee. 1182-1189 [doi]
• MANIQA: Multi-dimension Attention Network for No-Reference Image Quality AssessmentSidi Yang, Tianhe Wu, Shuwei Shi, Shanshan Lao, Yuan Gong, Mingdeng Cao, Jiahao Wang, Yujiu Yang. 1190-1199 [doi]
• Image Quality Assessment with Gradient Siamese NetworkHeng Cong, Lingzhi Fu, Rongyu Zhang, Yusheng Zhang, Hao Wang, Jiarong He, Jin Gao. 1200-1209 [doi]
• Deep-FlexISP: A Three-Stage Framework for Night Photography RenderingShuai Liu, Chaoyu Feng, Xiaotao Wang, Hao Wang, Ran Zhu, Yongqiang Li, Lei Lei. 1210-1219 [doi]
• NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and ResultsRen Yang, Radu Timofte, Meisong Zheng, Qunliang Xing, Minglang Qiao, Mai Xu, Lai Jiang, Huaida Liu, Ying Chen, Youcheng Ben, Xiao Zhou, Chen Fu, Pei Cheng, Gang Yu, Junyi Li, Renlong Wu, Zhilu Zhang, Wei Shang, Zhengyao Lv, Yunjin Chen, Mingcai Zhou, Dongwei Ren, Kai Zhang, Wangmeng Zuo, Pavel Ostyakov, Vyal Dmitry, Shakarim Soltanayev, Chervontsev Sergey, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Pablo Navarrete Michelini, Yunhua Lu, Diankai Zhang, Shaoli Liu, Si Gao, Biao Wu, Chengjian Zheng, Xiaofeng Zhang, Kaidi Lu, Ning Wang, Thuong Nguyen Canh, Thong Bach, Qing Wang, Xiaopeng Sun, Haoyu Ma, Shijie Zhao, Junlin Li, Liangbin Xie, Shuwei Shi, Yujiu Yang, Xintao Wang, Jinjin Gu, Chao Dong, Xiaodi Shi, Chunmei Nian, Dong Jiang, Jucai Lin, Zhihuai Xie, Mao Ye, Dengyan Luo, Liuhan Peng, Shengjie Chen, Xin Liu, Qian Wang, Xin Liu, Boyang Liang, Hang Dong, Yuhao Huang, Kai Chen, Xingbei Guo, Yujing Sun, Huilei Wu, Pengxu Wei, Yulin Huang, Junying Chen, Ik Hyun Lee, Sunder Ali Khowaja, Jiseok Yoon. 1220-1237 [doi]
• NAFSSR: Stereo Image Super-Resolution Using NAFNetXiaojie Chu, Liangyu Chen 0002, Wenqing Yu. 1238-1247 [doi]
• Asymmetric Information Distillation Network for Lightweight Super ResolutionZhikai Zong, Lin Zha, Jiande Jiang, Xiaoxiao Liu. 1248-1257 [doi]
• DRCR Net: Dense Residual Channel Re-calibration Network with Non-local Purification for Spectral Super ResolutionJiaojiao Li, Songcheng Du, Chaoxiong Wu, Yihong Leng, Rui Song 0003, Yunsong Li. 1258-1267 [doi]
• MSTRIQ: No Reference Image Quality Assessment Based on Swin Transformer with Multi-Stage FusionJing Wang, Haotian Fan, Xiaoxia Hou, Yitian Xu, Tao Li, Xuechao Lu, Lean Fu. 1268-1277 [doi]
• Adaptive Feature Consolidation Network for Burst Super-ResolutionNancy Mehta, Akshay Dudhane, Subrahmanyam Murala, Syed Waqas Zamir, Salman Khan 0001, Fahad Shahbaz Khan. 1278-1285 [doi]
• NTIRE 2022 Challenge on Night Photography RenderingEgor I. Ershov, Alexey Savchik, Denis A. Shepelev, Nikola Banic, Michael S. Brown, Radu Timofte, Karlo Koscevic, Michael Freeman, Vasily Tesalin, Dmitry Bocharov, Illya Semenkov, Marko Subasic, Sven Loncaric, Arseniy P. Terekhin, Shuai Liu, Chaoyu Feng, Hao Wang, Ran Zhu, Yongqiang Li, Lei Lei, Zhihao Li, Si Yi, Linghao Han, Ruiqi Wu, Xin Jin, Chunle Guo, Furkan Kinli, Sami Mentes, Baris Özcan, Furkan Kiraç, Simone Zini, Claudio Rota, Marco Buzzelli, Simone Bianco 0001, Raimondo Schettini, Wei Li, Yipeng Ma, Tao Wang, Ruikang Xu, Fenglong Song, Wei-Ting Chen, Hao-Hsiang Yang, Zhi-Kai Huang, Hua-En Chang, Sy-Yen Kuo, Zhexin Liang, Shangchen Zhou, Ruicheng Feng, Chongyi Li, Xiangyu Chen, Binbin Song, Shile Zhang, Lin Liu, Zhendong Wang, Dohoon Ryu, Hyokyoung Bae, Taesung Kwon, Chaitra Desai, Nikhil Akalwadi, Amogh Joshi, Chinmayee Mandi, Sampada Malagi, Akash Uppin, Sai Sudheer Reddy, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi. 1286-1299 [doi]
• GLaMa: Joint Spatial and Frequency Loss for General Image InpaintingZeyu Lu, Junjun Jiang, Junqin Huang, Gang Wu, Xianming Liu. 1300-1309 [doi]
• Sat-NeRF: Learning Multi-View Satellite Photogrammetry With Transient Objects and Shadow Modeling Using RPC CamerasRoger Marí, Gabriele Facciolo, Thibaud Ehret. 1310-1320 [doi]
• Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain ImagesTejas Panambur, Deep Chakraborty, Melissa Meyer, Ralph Milliken, Erik G. Learned-Miller, Mario Parente. 1321-1331 [doi]
• OpenSentinelMap: A Large-Scale Land Use Dataset using OpenStreetMap and Sentinel-2 ImageryNoah Johnson, Wayne Treible, Daniel Crispell. 1332-1340 [doi]
• Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR ScansEkaterina Kalinicheva, Loïc Landrieu, Clément Mallet, Nesrine Chehata. 1341-1350 [doi]
• Unsupervised Change Detection Based on Image Reconstruction LossHyeoncheol Noh, Jingi Ju, Minseok Seo, Jongchan Park, Dong-Geol Choi. 1351-1360 [doi]
• Understanding the Role of Weather Data for Earth Surface Forecasting using a ConvLSTM-based ModelCodrut-Andrei Diaconu, Sudipan Saha, Stephan Günnemann, Xiao Xiang Zhu. 1361-1370 [doi]
• Prompt-RSVQA: Prompting visual context to a language model for Remote Sensing Visual Question AnsweringChristel Chappuis, Valérie Zermatten, Sylvain Lobry, Bertrand Le Saux, Devis Tuia. 1371-1380 [doi]
• Cross-dataset Learning for Generalizable Land Use Scene ClassificationDimitri Gominski, Valérie Gouet-Brunet, Liming Chen 0002. 1381-1390 [doi]
• Generalized Classification of Satellite Image Time Series with Thermal Positional EncodingJoachim Nyborg, Charlotte Pelletier, Ira Assent. 1391-1401 [doi]
• Single-Shot End-to-end Road Graph ExtractionGaetan Bahl, Mehdi Bahri, Florent Lafarge. 1402-1411 [doi]
• Urban Building Classification (UBC) - A Dataset for Individual Building Detection and Classification from Satellite ImageryXingliang Huang, Libo Ren, Chenglong Liu, Yixuan Wang, Hongfeng Yu, Michael Schmitt 0003, Ronny Hänsch, Xian Sun, Hai Huang 0006, Helmut Mayer 0001. 1412-1420 [doi]
• Self-supervised Vision Transformers for Land-cover Segmentation and ClassificationLinus Scheibenreif, Joëlle Hanna, Michael Mommert, Damian Borth. 1421-1430 [doi]
• Transforming Temporal Embeddings to Keypoint Heatmaps for Detection of Tiny Vehicles in Wide Area Motion Imagery (WAMI) SequencesFarhood Negin, Mohsen Tabejamaat, Renaud Fraisse, François Brémond. 1431-1440 [doi]
• Towards assessing agricultural land suitability with causal machine learningGeorgios Giannarakis, Vasileios Sitokonstantinou, Roxanne Suzette Lorilla, Charalampos Kontoes. 1441-1451 [doi]
• Hephaestus: A large scale multitask dataset towards InSAR understandingNikolaos-Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail 0001, Andreas Karavias, Panagiotis Elias, Isaak S. Parcharidis. 1452-1461 [doi]
• Fast building segmentation from satellite imagery and few local labelsCaleb Robinson, Anthony Ortiz, Hogeun Park, Nancy Lozano-Gracia, Jon Kher Kaw, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres. 1462-1470 [doi]
• SpaceNet 8 - The Detection of Flooded Roads and BuildingsRonny Hänsch, Jacob Arndt, Dalton D. Lunga, Matthew Gibb, Tyler Pedelose, Arnold P. Boedihardjo, Desiree Petrie, Todd M. Bacastow. 1471-1479 [doi]
• Guided Deep Metric LearningJorge Gonzalez-Zapata, Ivan Reyes-Amezcua, Daniel Flores-Araiza, Mauricio Mendez-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez. 1480-1488 [doi]
• Generative Flows as a General Purpose Solution for Inverse ProblemsJosé A. Chávez. 1489-1497 [doi]
• Self-supervised Learning for Sonar Image ClassificationAlan Preciado-Grijalva, Bilal Wehbe, Miguel Bande Firvida, Matias Valdenegro-Toro. 1498-1507 [doi]
• A Deeper Look into Aleatoric and Epistemic Uncertainty DisentanglementMatias Valdenegro-Toro, Daniel Saromo Mori. 1508-1516 [doi]
• Unpaired Faces to Cartoons: Improving XGANStev H. Ramos, Joel Cabrera, Daniel Ibáñez, Alejandro B. Jiménez-Panta, César Beltrán Castañón, Edwin Villanueva. 1517-1526 [doi]
• Weakly-Supervised Action Detection Guided by Audio NarrationKeren Ye, Adriana Kovashka. 1527-1537 [doi]
• Self Supervised Scanpath Prediction Framework for Painting ImagesMarouane Tliba, Mohamed Amine Kerkouri, Aladine Chetouani, Alessandro Bruno. 1538-1547 [doi]
• Egocentric Indoor Localization from Coplanar Two-Line Room LayoutsXiaowei Chen, Guoliang Fan. 1548-1558 [doi]
• Where did I leave my keys? - Episodic-Memory-Based Question Answering on Egocentric VideosLeonard Bärmann, Alex Waibel. 1559-1567 [doi]
• Towards a Deeper Understanding of Skeleton-based Gait RecognitionTorben Teepe, Johannes Gilg, Fabian Herzog, Stefan Hörmann, Gerhard Rigoll. 1568-1576 [doi]
• ElasticFace: Elastic Margin Loss for Deep Face RecognitionFadi Boutros, Naser Damer, Florian Kirchbuchner, Arjan Kuijper. 1577-1586 [doi]
• Residual Feature Pyramid Network for Enhancement of Vascular PatternsKetan Kotwal, Sébastien Marcel. 1587-1594 [doi]
• True Black-Box Explanation in Facial AnalysisDomingo Mery. 1595-1604 [doi]
• Privacy-friendly Synthetic Data for the Development of Face Morphing Attack DetectorsNaser Damer, César Augusto Fontanillo López, Meiling Fang, Noémie Spiller, Minh Vu Pham, Fadi Boutros. 1605-1616 [doi]
• On the Effect of Atmospheric Turbulence in the Feature Space of Deep Face RecognitionWes Robbins, Terrance W. Boult. 1617-1625 [doi]
• MinNet: Minutia Patch Embedding Network for Automated Latent Fingerprint RecognitionHalil Ibrahim Öztürk, Berkay Selbes, Yusuf Artan. 1626-1634 [doi]
• Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimationPaul Albert, Mohamed Saadeldin, Badri Narayanan 0002, Brian Mac Namee, Deirdre Hennessy, Noel E. O'Connor, Kevin McGuinness. 1635-1645 [doi]
• 3D Point Cloud Instance Segmentation of Lettuce Based on PartNetLuhan Wang, Lihua Zheng, Minjuan Wang. 1646-1654 [doi]
• Augmentation Invariance and Adaptive Sampling in Semantic Segmentation of Agricultural Aerial ImagesAntonio Tavera, Edoardo Arnaudo, Carlo Masone, Barbara Caputo. 1655-1664 [doi]
• Transfer Learning from Synthetic In-vitro Soybean Pods Dataset for In-situ Segmentation of On-branch Soybean PodsSi Yang, Lihua Zheng, Xieyuanli Chen, Laura Zabawa, Man Zhang, Minjuan Wang. 1665-1674 [doi]
• High-Resolution UAV Image Generation for Sorghum Panicle DetectionEnyu Cai, Zhankun Luo, Sriram Baireddy, Jiaqi Guo, Changye Yang, Edward J. Delp. 1675-1684 [doi]
• Pseudo-label Generation for Agricultural Robotics ApplicationsThomas A. Ciarfuglia, Ionut Marian Motoi, Leonardo Saraceni, Daniele Nardi. 1685-1693 [doi]
• Using Pure Pollen Species When Training a CNN to Segment Pollen MixturesNana Yang, Victor Joos, A. L. Jacquemart, Christel Buyens, Christophe De Vleeschouwer. 1694-1703 [doi]
• AAFormer: A Multi-Modal Transformer Network for Aerial Agricultural ImagesYao Shen, Lei Wang, Yue Jin. 1704-1710 [doi]
• Optimizing Nitrogen Management with Deep Reinforcement Learning and Crop SimulationsJing Wu, Ran Tao, Pan Zhao, Nicolas F. Martin, Naira Hovakimyan. 1711-1719 [doi]
• Self-Supervised Variable Rate Image Compression using Visual AttentionAbhishek Kumar Sinha, S. Manthira Moorthi, Debajyoti Dhar. 1720-1724 [doi]
• Non-linear Motion Estimation for Video Frame Interpolation using Space-time ConvolutionsSaikat Dutta 0002, Arulkumar Subramaniam, Anurag Mittal. 1725-1730 [doi]
• Adaptive Bitrate Quantization Scheme Without Codebook for Learned Image CompressionJonas Löhdefink, Jonas Sitzmann, Andreas Bär, Tim Fingscheidt. 1731-1736 [doi]
• Neural Face Video Compression using Multiple ViewsAnna Volokitin, Stefan Brugger, Ali Benlalah, Sebastian Martin, Brian Amberg, Michael Tschannen. 1737-1741 [doi]
• Slimmable Video CodecZhaocheng Liu, Luis Herranz, Fei Yang 0004, Saiping Zhang, Shuai Wan, Marta Mrak, Marc Górriz Blanch. 1742-1746 [doi]
• Learned Compression of High Dimensional Image DatasetsElizabeth K. Cole, Qingxi Meng, John M. Pauly, Shreyas Vasanawala. 1747-1751 [doi]
• User-Guided Variable Rate Learned Image CompressionRushil Gupta, Suryateja BV, Nikhil Kapoor, Rajat Jaiswal, Sharmila Nangi, Kuldeep Kulkarni. 1752-1757 [doi]
• RDONet: Rate-Distortion Optimized Learned Image Compression with Variable DepthFabian Brand, Kristian Fischer, Alexander Kopte, Marc Windsheimer, André Kaup. 1758-1762 [doi]
• PO-ELIC: Perception-Oriented Efficient Learned Image CodingDailan He, Ziming Yang, Hongjiu Yu, Tongda Xu, Jixiang Luo, Yuan Chen, Chenjian Gao, Xinjie Shi, Hongwei Qin, Yan Wang. 1763-1768 [doi]
• Perceptual in-Loop Filter for Image and Video CompressionHuairui Wang, Guangjie Ren, Tong Ouyang, Junxi Zhang, Wenwei Han, Zizheng Liu, Zhenzhong Chen. 1769-1772 [doi]
• Neural Network-based In-Loop Filter for CLIC 2022Yonghua Wang, Jingchi Zhang, Zhengang Li, Xing Zeng, Zhen Zhang, Diankai Zhang, Yunlin Long, Ning Wang. 1773-1776 [doi]
• Super-Resolution based Video Coding SchemeHyun Min Cho, Kiho Choi. 1777-1779 [doi]
• A Neural-network Enhanced Video Coding Framework beyond VVCJunru Li, Yue Li, Chaoyi Lin, Kai Zhang 0007, Li Zhang. 1780-1784 [doi]
• Learned Low Bitrate Video Compression with Space-Time Super-ResolutionJiayu Yang, Chunhui Yang, Fei Xiong, Feng Wang, Ronggang Wang. 1785-1789 [doi]
• Hybrid video coding scheme based on VVC and spatio-temporal attention convolution neural networkGang He 0001, Kepeng Xu, Chang Wu, Zijia Ma, Xing Wen, Ming Sun. 1790-1793 [doi]
• SwinIQA: Learned Swin Distance for Compressed Image Quality AssessmentJianZhao Liu, Xin Li, Yanding Peng, Tao Yu, Zhibo Chen 0001. 1794-1798 [doi]
• Focused Feature Differentiation Network for Image Quality AssessmentGang He, Yong Wang, Li Xu, Wenli Zhang, Ming Sun, Xing Wen. 1799-1803 [doi]
• Image Quality Assessment with Transformers and Multi-Metric Fusion ModulesWei Jiang, Litian Li, Yi Ma, Yongqi Zhai, Zheng Yang, Ronggang Wang. 1804-1808 [doi]
• A Soft-ranked Index Fusion Framework with Saliency Weighting for Image Quality AssessmentLiangwei Yu, Zhao Wang, Yan Ye, Lingyu Zhu 0006, Shiqi Wang 0001. 1809-1813 [doi]
• BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pixShengjie Liu, Chuang Zhu, Feng Xu, Xinyu Jia, Zhongyue Shi, Mulan Jin. 1814-1823 [doi]
• Cell Selection-based Data Reduction Pipeline for Whole Slide Image Analysis of Acute Myeloid LeukemiaJacqueline Kockwelp, Sebastian Thiele, Pascal Kockwelp, Jannis Bartsch, Christoph Schliemann, Linus Angenendt, Benjamin Risse. 1824-1833 [doi]
• Multi stain graph fusion for multimodal integration in pathologyChaitanya Dwivedi, Shima Nofallah, Maryam Pouryahya, Janani Iyer, Kenneth Leidal, Chuhan Chung, Timothy Watkins, Andrew Billin, Robert Myers, John Abel, Ali Behrooz. 1834-1844 [doi]
• Fourier Image TransformerTim-Oliver Buchholz, Florian Jug. 1845-1853 [doi]
• Multi-Class Cell Detection Using Modified Self-AttentionTatsuhiko Sugimoto, Hiroaki Ito, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise. 1854-1862 [doi]
• Blood Vessel Segmentation from Low-Contrast and Wide-Field Optical Microscopic Images of Cranial Window by Attention-Gate-Based NetworkYunheng Wu, Masahiro Oda, Yuichiro Hayashi, Takanori Takebe, Shogo Nagata, Cheng Wang, Kensaku Mori. 1863-1872 [doi]
• Self-Supervised Voxel-Level Representation Rediscovers Subcellular Structures in Volume Electron MicroscopyHongqing Han, Mariia Dmitrieva, Alexander Sauer, Ka Ho Tam, Jens Rittscher. 1873-1882 [doi]
• An Ensemble Learning and Slice Fusion Strategy for Three-Dimensional Nuclei Instance SegmentationLiming Wu, Alain Chen, Paul Salama, Kenneth W. Dunn, Edward J. Delp. 1883-1893 [doi]
• Coupling Vision and Proprioception for Navigation of Legged RobotsZipeng Fu, Ashish Kumar, Ananye Agarwal, Haozhi Qi, Jitendra Malik, Deepak Pathak. 1894-1904 [doi]
• Revisiting the Receptive Field of Conv-GRU in DROID-SLAMAntyanta Bangunharcana, Soohyun Kim, Kyung Soo Kim. 1905-1915 [doi]
• Parallel Generative Adversarial Network for Third-person to First-person Image GenerationGaowen Liu, Hugo Latapie, Özkan Kiliç, Adam Lawrence. 1916-1922 [doi]
• Exploring Motion Information for Distractor Suppression in Visual TrackingKaiwen Liu, Jin Gao, Haowei Liu, Liang Li, Bing Li, Weiming Hu. 1923-1931 [doi]
• Network Amplification with Efficient MACs AllocationChuanjian Liu, Kai Han 0002, An Xiao, Ying Nie, Wei Zhang 0196, Yunhe Wang 0001. 1932-1941 [doi]
• Searching for Energy-Efficient Hybrid Adder-Convolution Neural NetworksWenshuo Li, Xinghao Chen 0001, Jinyu Bai, Xuefei Ning, Yunhe Wang. 1942-1951 [doi]
• Less is More: Proxy Datasets in NAS approachesBrian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel 0001. 1952-1960 [doi]
• SpiderNet: Hybrid Differentiable-Evolutionary Architecture Search via Train-Free MetricsRob Geada, Andrew Stephen McGough. 1961-1969 [doi]
• Hot-started NAS for Task-specific Embedded ApplicationsLotte Hendrickx, Wiebe Van Ranst, Toon Goedemé. 1970-1977 [doi]
• DNAS: A Decoupled Global Neural Architecture Search MethodKepeng Xu, Gang He 0002. 1978-1984 [doi]
• Autoencoders - A Comparative Analysis in the Realm of Anomaly DetectionSarah Schneider, Doris Antensteiner, Daniel Soukup, Matthias Scheutz. 1985-1991 [doi]
• Enriched Robust Multi-View Kernel Subspace ClusteringMengyuan Zhang 0002, Kai Liu. 1992-2001 [doi]
• Generative Probabilistic Novelty Detection with Isometric Adversarial AutoencodersRanya Almohsen, Matthew R. Keaton, Donald A. Adjeroh, Gianfranco Doretto. 2002-2012 [doi]
• Deep density estimation based on multi-spectral remote sensing data for in-field crop yield forecastingLiana Baghdasaryan, Razmik Melikbekyan, Arthur Dolmajain, Jennifer Hobbs. 2013-2022 [doi]
• RV-GAN: Recurrent GAN for Unconditional Video GenerationSonam Gupta, Arti Keshari, Sukhendu Das. 2023-2032 [doi]
• Material Swapping for 3D Scenes using a Learnt Material Similarity MeasureMaxine Perroni-Scharf, Kalyan Sunkavalli, Jonathan Eisenmann, Yannick Hold-Geoffroy. 2033-2042 [doi]
• Detecting Objects in Less Response Time for Processing Multimedia Events in Smart CitiesAsra Aslam. 2043-2053 [doi]
• Pruning rPPG Networks: Toward Small Dense Network with Limited Number of Training SamplesChangchen Zhao, Pengcheng Cao, Shoushuai Xu, Zhengguo Li, Yuanjing Feng. 2054-2063 [doi]
• Multimodal Transformer for Nursing Activity RecognitionMomal Ijaz, Renato Diaz, Chen Chen. 2064-2073 [doi]
• Should I take a walk? Estimating Energy Expenditure from Video DataKunyu Peng, Alina Roitberg, Kailun Yang 0001, Jiaming Zhang 0001, Rainer Stiefelhagen. 2074-2084 [doi]
• Remote Pulse Estimation in the Presence of Face MasksJeremy Speth, Nathan Vance, Patrick Flynn, Kevin W. Bowyer, Adam Czajka. 2085-2094 [doi]
• Human Stools Classification for Gastrointestinal Health based on an Improved ResNet18 Model with Dual Attention MechanismJing Zhang, Tao Wen, Tao He, Xiangzhou Wang, Ruqian Hao, Juanxiu Liu, Xiaohui Du, Lin Liu. 2095-2102 [doi]
• Predicting Mind-Wandering with Facial Videos in Online LecturesTaeckyung Lee, Dain Kim, Sooyoung Park, Dongwhi Kim, Sung-Ju Lee. 2103-2112 [doi]
• Strain Detection based on Breath and Motion Features Obtained by a Force Sensor for Smart Toilet SystemsRina Akaho, Mototaka Yoshioka. 2113-2120 [doi]
• Remote Heart Rate Estimation by Signal Quality Attention NetworkHaoyuan Gao, Xiaopei Wu, Jidong Geng, Yang Lv. 2121-2128 [doi]
• Contactless Blood Pressure Measurement via Remote Photoplethysmography with Synthetic Data Generation Using Generative Adversarial NetworkBing-Fei Wu, Li-Wen Chiu, Yi-Chiao Wu, Chun-Chih Lai, Pao-Hsien Chu. 2129-2137 [doi]
• Remote Estimation of Continuous Blood Pressure by a Convolutional Neural Network Trained on Spatial Patterns of Facial Pulse WavesKaito Iuchi, Ryogo Miyazaki, George C. Cardoso, Keiko Ogawa-Ochiai, Norimichi Tsumura. 2138-2144 [doi]
• RTrPPG: An Ultra Light 3DCNN for Real-Time Remote PhotoplethysmographyDeivid Botina-Monsalve, Yannick Benezeth, Johel Mitéran. 2145-2153 [doi]
• Federated Remote Physiological Measurement with Imperfect DataXin Liu, Mingchuan Zhang, Ziheng Jiang, Shwetak N. Patel, Daniel McDuff. 2154-2163 [doi]
• Optimising rPPG Signal Extraction by Exploiting Facial Surface OrientationKwan Long Wong, Jing Wei Chin, Tsz Tai Chan, Ismoil Odinaev, Kristian Suhartono, Kang Tianqu, Richard H. Y. So. 2164-2170 [doi]
• Regression or Classification? Reflection on BP prediction from PPG data using Deep Neural Networks in the scope of practical applicationsFabian Schrumpf, Paul Rudi Serdack, Mirco Fuchs. 2171-2180 [doi]
• Efficient Remote Photoplethysmography with Temporal Derivative Modules and Time-Shift Invariant LossJoaquim Comas, Adria Ruiz, Federico Sukno. 2181-2190 [doi]
• Perfusion assessment via local remote photoplethysmography (rPPG)Benjamin Kossack, Eric L. Wisotzky, Peter Eisert, Sebastian P. Schraven, Brigitta Globke, Anna Hilsmann. 2191-2200 [doi]
• Gated Recurrent Unit-Based RNN for Remote Photoplethysmography Signal SegmentationRita Meziati Sabour, Yannick Benezeth. 2201-2209 [doi]
• Deep Learning Classifier for Advancing Video Monitoring of Atrial FibrillationKamil Bukum, Celal Savur, Gill R. Tsouri. 2210-2218 [doi]
• UIGR: Unified Interactive Garment RetrievalXiao Han, Sen He, Li Zhang 0040, Yi-Zhe Song, Tao Xiang. 2219-2224 [doi]
• Neural Image Recolorization for Creative DomainsBoyi Li, Serge J. Belongie, Ser-Nam Lim, Abe Davis. 2225-2229 [doi]
• Dress Code: High-Resolution Multi-Category Virtual Try-OnDavide Morelli, Matteo Fincato, Marcella Cornia, Federico Landi, Fabio Cesari, Rita Cucchiara. 2230-2234 [doi]
• Towards Detailed Characteristic-Preserving Virtual Try-OnSangho Lee, Seoyoung Lee, Joonseok Lee. 2235-2239 [doi]
• The multi-modal universe of fast-fashion: the Visuelle 2.0 benchmarkGeri Skenderi, Christian Joppi, Matteo Denitto, Berniero Scarpa, Marco Cristani. 2240-2245 [doi]
• Dual-Branch Collaborative Transformer for Virtual Try-OnEmanuele Fenocchi, Davide Morelli, Marcella Cornia, Lorenzo Baraldi, Fabio Cesari, Rita Cucchiara. 2246-2250 [doi]
• CoRe: Color Regression for Multicolor Fashion GarmentsAlexandre Ramé, Arthur Douillard, Charles Ollion. 2251-2256 [doi]
• Artistic Style Novel View Synthesis Based on A Single ImageKuan-Wei Tseng, Yao-Chih Lee, Chu-Song Chen. 2257-2261 [doi]
• OutfitTransformer: Outfit Representations for Fashion RecommendationRohan Sarkar, Navaneeth Bodla, Mariya I. Vasileva, Yen-Liang Lin, Anurag Beniwal, Alan Lu, Gerard Medioni. 2262-2266 [doi]
• GP22: A Car Styling Dataset for Automotive DesignersGyunpyo Lee, Taesu Kim, Hyeon-Jeong Suk. 2267-2271 [doi]
• OutfitGAN: Learning Compatible Items for Generative Fashion OutfitsMaryam Moosaei, Yusan Lin, Ablaikhan Akhazhanov, Huiyuan Chen, Fei Wang, Hao Yang. 2272-2276 [doi]
• Wearable ImageNet: Synthesizing Tileable Textures via Dataset DistillationGeorge Cazenavette, Tongzhou Wang 0001, Antonio Torralba 0001, Alexei A. Efros, Jun-Yan Zhu. 2277-2281 [doi]
• DAtRNet: Disentangling Fashion Attribute Embedding for Substitute Item RetrievalGaurab Bhattacharya, Nikhil Kilari, Jayavardhana Gubbi, Bagya Lakshmi V, Arpan Pal, Balamuralidhar P. 2282-2286 [doi]
• PaintInStyle: One-Shot Discovery of Interpretable Directions by PaintingBerkay Doner, Elif Sema Balcioglu, Merve Rabia Barin, Umut Kocasari, Mert Tiftikci, Pinar Yanardag. 2287-2292 [doi]
• Rank in Style: A Ranking-based Approach to Find Interpretable DirectionsUmut Kocasari, Kerem Zaman, Mert Tiftikci, Enis Simsar, Pinar Yanardag. 2293-2297 [doi]
• NeuralAnnot: Neural Annotator for 3D Human Mesh Training SetsGyeongsik Moon, Hongsuk Choi, Kyoung Mu Lee. 2298-2306 [doi]
• Accurate 3D Hand Pose Estimation for Whole-Body 3D Human Mesh EstimationGyeongsik Moon, Hongsuk Choi, Kyoung Mu Lee. 2307-2316 [doi]
• The Best of Both Worlds: Combining Model-based and Nonparametric Approaches for 3D Human Body EstimationZhe Wang, Jimei Yang, Charless C. Fowlkes. 2317-2326 [doi]
• ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning ChallengesDimitrios Kollias. 2327-2335 [doi]
• Model Level Ensemble for Facial Action Unit Recognition at the 3rd ABAW ChallengeWenqiang Jiang, Yannan Wu, Fengsheng Qiao, Liyu Meng, Yuanyuan Deng, Chuanhe Liu. 2336-2343 [doi]
• Valence and Arousal Estimation based on Multimodal Temporal-Aware Features for Videos in the WildLiyu Meng, Yuchen Liu, Xiaolong Liu, Zhaopei Huang, Wenqiang Jiang, Tenggan Zhang, Chuanhe Liu, Qin Jin. 2344-2351 [doi]
• Classification of Facial Expression In-the-Wild based on Ensemble of Multi-head Cross Attention NetworksJae-Yeop Jeong, Yeong-Gi Hong, Daun Kim, Jin-Woo Jeong, Yuchul Jung, Sang-Ho Kim. 2352-2357 [doi]
• Video-based Frame-level Facial Analysis of Affective Behavior on Mobile Devices using EfficientNetsAndrey V. Savchenko. 2358-2365 [doi]
• MixAugment & Mixup: Augmentation Methods for Facial Expression RecognitionAndreas Psaroudakis, Dimitrios Kollias. 2366-2374 [doi]
• Continuous Emotion Recognition using Visual-audio-linguistic Information: A Technical Report for ABAW3Su Zhang 0004, Ruyi An, Yi Ding, Cuntai Guan. 2375-2380 [doi]
• Time-Continuous Audiovisual Fusion with Recurrence vs Attention for In-The-Wild Affect RecognitionVincent Karas, Mani Kumar Tellamekala, Adria Mallol-Ragolta, Michel F. Valstar, Björn W. Schuller. 2381-2390 [doi]
• Estimating Multiple Emotion Descriptors by Separating Description and InferenceDidan Deng, Bertram E. Shi. 2391-2399 [doi]
• Bridging the Gap Between Automated and Human Facial Emotion PerceptionDerek Stratton, Emily M. Hand. 2400-2410 [doi]
• Coarse-to-Fine Cascaded Networks with Smooth Predicting for Video Facial Expression RecognitionFanglei Xue, Zichang Tan, Yu Zhu, Zhongsong Ma, Guodong Guo. 2411-2417 [doi]
• Long-term Action Forecasting Using Multi-headed Attention-based Variational Recurrent Neural NetworksSiyuan Brandon Loh, Debaditya Roy, Basura Fernando. 2418-2426 [doi]
• Transformer-based Multimodal Information Fusion for Facial Expression AnalysisWei Zhang, Feng Qiu, Suzhen Wang, Hao Zeng, Zhimeng Zhang, Rudong An, Bowen Ma, Yu Ding 0001. 2427-2436 [doi]
• Multi-task Learning for Human Affect Prediction with Auditory-Visual Synchronized RepresentationEuiseok Jeong, Geesung Oh, Sejoon Lim. 2437-2444 [doi]
• Cross Transferring Activity Recognition to Word Level Sign Language DetectionSrijith Radhakrishnan, Nikhil C. Mohan, Manisimha Varma, Jaithra Varma, Smitha N. Pai. 2445-2452 [doi]
• An Attention-based Method for Multi-label Facial Action Unit DetectionDuy Le Hoai, Eunchae Lim, Eunbin Choi, Sieun Kim, Sudarshan Pant, Guee-Sang Lee, Soo-Hyung Kim, Hyung Jeong Yang. 2453-2458 [doi]
• Video-based multimodal spontaneous emotion recognition using facial expressions and physiological signalsYassine Ouzar, Frédéric Bousefsaf, Djamaleddine Djeldjli, Choubeila Maaoui. 2459-2468 [doi]
• Action unit detection by exploiting spatial-temporal and label-wise attention with transformerLingfeng Wang, Jin Qi, Jian Cheng, Kenji Suzuki. 2469-2474 [doi]
• Three Stream Graph Attention Network using Dynamic Patch Selection for the classification of micro-expressionsAnkith Jain Rakesh Kumar, Bir Bhanu. 2475-2484 [doi]
• A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion RecognitionR. Gnana Praveen, Wheidima Carneiro de Melo, Nasib Ullah, Haseeb Aslam, Osama Zeeshan, Théo Denorme, Marco Pedersoli, Alessandro L. Koerich, Simon Bacon, Patrick Cardinal, Eric Granger. 2485-2494 [doi]
• TikTok for good: Creating a diverse emotion expression databaseSaimourva Surabhi, Bhavik Shah, Peter Washington 0001, Onur Cezmi Mutlu, Emilie Leblanc, Prathamesh Mohite, Arman Husic, Aaron Kline, Kaitlyn Dunlap, Maya McNealis, Bennett Liu, Nick Deveaux, Essam Sleiman, Dennis P. Wall. 2495-2505 [doi]
• Facial Expression Classification using Fusion of Deep Neural Network in VideoKim Ngan Phan, Hong Hai Nguyen, Van Thong Huynh, Soo-Hyung Kim. 2506-2510 [doi]
• An Ensemble Approach for Facial Behavior Analysis in-the-wild VideoHong Hai Nguyen, Van Thong Huynh, Soo-Hyung Kim. 2511-2516 [doi]
• Goal-driven Self-Attentive Recurrent Networks for Trajectory PredictionLuigi Filippo Chiara, Pasquale Coscia, Sourav Das, Simone Calderara, Rita Cucchiara, Lamberto Ballan. 2517-2526 [doi]
• Persistent-Transient Duality in Human Behavior ModelingHung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran 0001. 2527-2530 [doi]
• Importance is in your attention: agent importance prediction for autonomous drivingChristopher Hazard, Akshay Bhagat, Balarama Raju Buddharaju, Zhongtao Liu, Yunming Shao, Lu Lu, Sammy Omari, Henggang Cui. 2531-2534 [doi]
• S2F2: Single-Stage Flow Forecasting for Future Multiple Trajectories PredictionYu-Wen Chen, Hsuan-Kung Yang, Chu-Chi Chiu, Chun-Yi Lee. 2535-2538 [doi]
• HR-STAN: High-Resolution Spatio-Temporal Attention Network for 3D Human Motion PredictionOmar Medjaouri, Kevin Desai. 2539-2548 [doi]
• Information Elevation Network for Online Action Detection and AnticipationSunah Min, Jinyoung Moon. 2549-2557 [doi]
• Joint Forecasting of Panoptic Segmentations with Difference AttentionColin Graber, Cyril Jazra, Wenjie Luo, Liangyan Gui, Alexander G. Schwing. 2558-2567 [doi]
• Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous VehiclesPha Nguyen, Kha Gia Quach, Chi Nhan Duong, Ngan Le, Xuan-Bac Nguyen, Khoa Luu. 2568-2577 [doi]
• Sea Situational Awareness (SeaSAw) DatasetParneet Kaur, Arslan Aziz, Darshan Jain, Harshil Patel, Jonathan Hirokawa, Lachlan Townsend, Christoph Reimers, Fiona Hua. 2578-2586 [doi]
• Unsupervised Domain Adaptation for Cardiac Segmentation: Towards Structure Mutual Information MaximizationChangjie Lu, Shen Zheng, Gaurav Gupta 0003. 2587-2596 [doi]
• Discriminability-enforcing loss to improve representation learningFlorinel-Alin Croitoru, Diana-Nicoleta Grigore, Radu-Tudor Ionescu. 2597-2601 [doi]
• ANT: Adapt Network Across Time for Efficient Video ProcessingFeng Liang, Ting-Wu Chin, Yang Zhou, Diana Marculescu. 2602-2607 [doi]
• An Once-for-All Budgeted Pruning Framework for ConvNets Considering Input ResolutionWenyu Sun, Jian Cao, Pengtao Xu, Xiangcheng Liu, Yuan Zhang, Yuan Wang. 2608-2617 [doi]
• 3: Dynamic Additive Attention Adaption for Memory-Efficient On-Device Multi-Domain LearningLi Yang, Adnan Siraj Rakin, Deliang Fan. 2618-2626 [doi]
• Simple and Efficient Architectures for Semantic SegmentationDushyant Mehta, Andrii Skliar, Haitam Ben Yahia, Shubhankar Borse, Fatih Porikli, AmirHossein Habibian, Tijmen Blankevoort. 2627-2635 [doi]
• YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity LossDebapriya Maji, Soyeb Nagori, Manu Mathew, Deepak Poddar. 2636-2645 [doi]
• Momentum Contrastive PruningSiyuan Pan, Yiming Qin, Tingyao Li, Xiaoshuang Li, Liang Hou. 2646-2655 [doi]
• Integrating Pose and Mask Predictions for Multi-person in VideosMiran Heo, Sukjun Hwang, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim. 2656-2665 [doi]
• Searching for Efficient Neural Architectures for On-Device ML on Edge TPUsBerkin Akin, Suyog Gupta, Yun Long, Anton Spiridonov, Zhuo Wang, Marie White, Hao Xu, Ping Zhou, Yanqi Zhou. 2666-2675 [doi]
• Event Transformer. A sparse-aware solution for efficient event data processingAlberto Sabater, Luis Montesano, Ana C. Murillo. 2676-2685 [doi]
• A Low Memory Footprint Quantized Neural Network for Depth Completion of Very Sparse Time-of-Flight Depth MapsXiaowen Jiang, Valerio Cambareri, Gianluca Agresti, Cynthia Ifeyinwa Ugwu, Adriano Simonetto, Fabien Cardinaux, Pietro Zanuttigh. 2686-2695 [doi]
• Towards efficient feature sharing in MIMO architecturesRémy Sun, Alexandre Ramé, Clément Masson, Nicolas Thome, Matthieu Cord. 2696-2700 [doi]
• TinyOps: ImageNet Scale Deep Learning on MicrocontrollersSulaiman Sadiq, Jonathon S. Hare, Partha Maji, Simon Craske, Geoff V. Merrett. 2701-2705 [doi]
• TorMentor: Deterministic dynamic-path, data augmentations with fractalsAnguelos Nicolaou, Vincent Christlein, Edgar Riba, Jian Shi, Georg Vogeler, Mathias Seuret. 2706-2710 [doi]
• Active Object Detection with Epistemic Uncertainty and Hierarchical Information AggregationYounghyun Park, Soyeong Kim, Wonjeong Choi, Dong-Jun Han, Jaekyun Moon. 2711-2715 [doi]
• SqueezeNeRF: Further factorized FastNeRF for memory-efficient inferenceKrishna Wadhwani, Tamaki Kojima. 2716-2724 [doi]
• Hybrid Consistency Training with Prototype Adaptation for Few-Shot LearningMeng Ye, Xiao Lin, Giedrius Burachas, Ajay Divakaran, Yi Yao. 2725-2734 [doi]
• ResNeSt: Split-Attention NetworksHang Zhang 0005, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Haibin Lin, Zhi Zhang, Yue Sun, Tong He, Jonas Mueller, R. Manmatha, Mu Li, Alexander J. Smola. 2735-2745 [doi]
• MAPLE: Microprocessor A Priori for Latency EstimationSaad Abbasi, Alexander Wong, Mohammad Javad Shafiee. 2746-2755 [doi]
• Simulated Quantization, Real Power SavingsMart van Baalen, Brian Kahne, Eric Mahurin, Andrey Kuzmin, Andrii Skliar, Markus Nagel, Tijmen Blankevoort. 2756-2760 [doi]
• Cyclical Pruning for Sparse Neural NetworksSuraj Srinivas, Andrey Kuzmin, Markus Nagel, Mart van Baalen, Andrii Skliar, Tijmen Blankevoort. 2761-2770 [doi]
• Linear Combination Approximation of Feature for Channel PruningDonggyu Joo, Doyeon Kim, Eojindl Yi, Junmo Kim. 2771-2780 [doi]
• When NAS Meets Trees: An Efficient Algorithm for Neural Architecture SearchGuocheng Qian, Xuanyang Zhang, Guohao Li, Chen Zhao, Yukang Chen, Xiangyu Zhang, Bernard Ghanem, Jian Sun. 2781-2786 [doi]
• Disentangled Loss for Low-Bit Quantization-Aware TrainingThibault Allenet, David Briand, Olivier Bichler, Olivier Sentieys. 2787-2791 [doi]
• Conjugate Adder Net (CAddNet) - a Space-Efficient Approximate CNNLulan Shen, Maryam Ziaeefard, Brett H. Meyer, Warren J. Gross, James J. Clark. 2792-2796 [doi]
• PEA: Improving the Performance of ReLU Networks for Free by Using Progressive Ensemble ActivationsÁkos Utasi. 2797-2805 [doi]
• Area Under the ROC Curve Maximization for Metric LearningBojana Gajic, Ariel Amato, Ramon Baldrich, Joost van de Weijer 0001, Carlo Gatta. 2806-2815 [doi]
• Semi-Supervised Few-Shot Learning from A Dependency-Discriminant PerspectiveZejiang Hou, Sun-Yuan Kung. 2816-2824 [doi]
• OPAD: An Optimized Policy-based Active Learning Framework for Document Content AnalysisSumit Shekhar, Bhanu Prakash Reddy Guda, Ashutosh Chaubey, Ishan Jindal, Avneet Jain. 2825-2835 [doi]
• Class-wise Thresholding for Robust Out-of-Distribution DetectionMatteo Guarrera, Baihong Jin, Tung-Wei Lin, Maria A. Zuluaga, Yuxin Chen 0001, Alberto L. Sangiovanni-Vincentelli. 2836-2845 [doi]
• Doppelgänger Saliency: Towards More Ethical Person Re-IdentificationBrandon Richard Webster, Brian Hu 0001, Keith Fieldhouse, Anthony Hoogs. 2846-2856 [doi]
• DeSI: Deepfake Source Identifier for Social MediaKartik Narayan, Harsh Agarwal, Surbhi Mittal, Kartik Thakral, Suman Kundu, Mayank Vatsa, Richa Singh 0001. 2857-2866 [doi]
• Visual Domain Bridge: A source-free domain adaptation for cross-domain few-shot learningMoslem Yazdanpanah, Parham Moradi. 2867-2876 [doi]
• Pyramidal Attention for Saliency DetectionTanveer Hussain, Abbas Anwar, Saeed Anwar, Lars Petersson, Sung Wook Baik. 2877-2887 [doi]
• Is Neuron Coverage Needed to Make Person Detection More Robust?Svetlana Pavlitskaya, Siyar Yikmis, J. Marius Zöllner. 2888-2896 [doi]
• Epistemic Uncertainty-Weighted Loss for Visual Bias MitigationRebecca S. Stone, Nishant Ravikumar, Andrew J. Bulpitt, David C. Hogg. 2897-2904 [doi]
• Color Invariant Skin SegmentationHan Xu, Abhijit Sarkar, A. Lynn Abbott. 2905-2914 [doi]
• Segmenting across places: The need for fair transfer learning with satellite imageryMiao Zhang, Harvineet Singh, Lazarus Chok, Rumi Chunara. 2915-2924 [doi]
• An Examination of Bias of Facial Analysis based BMI Prediction ModelsHera Siddiqui, Ajita Rattani, Karl Ricanek, Twyla J. Hill. 2925-2934 [doi]
• medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent SpaceAmil Dravid, Florian Schiffers, Boqing Gong, Aggelos K. Katsaggelos. 2935-2944 [doi]
• Context Attention Network for Skeleton ExtractionZixuan Huang, Yunfeng Wang, Zhiwen Chen, Xin Gao, Ruili Feng, Xiaobo Li. 2945-2950 [doi]
• CAMION: Cascade Multi-input Multi-output Network for Skeleton ExtractionSheng Fang, Kaiyu Li, Zhe Li 0015. 2951-2956 [doi]
• Multimodal Shape Completion via Implicit Maximum Likelihood EstimationHimanshu Arora, Saurabh Mishra, Shichong Peng, Ke Li 0011, Ali Mahdavi-Amiri. 2957-2966 [doi]
• GraphWalks: Efficient Shape Agnostic Geodesic Shortest Path EstimationRolandos-Alexandros Potamias, Alexandros Neofytou, Kyriaki-Margarita Bintsi, Stefanos Zafeiriou. 2967-2976 [doi]
• VG-VAE: A Venatus Geometry Point-Cloud Variational Auto-EncoderTejas Anvekar, Ramesh Ashok Tabib, Dikshit Hegde, Uma Mudengudi. 2977-2984 [doi]
• Shape Enhanced Keypoints Learning with Geometric Prior for 6D Object Pose TrackingMateusz Majcher, Bogdan Kwolek. 2985-2991 [doi]
• Concept Activation Vectors for Generating User-Defined 3D ShapesStefan Druc, Aditya Balu, Peter Wooldridge, Adarsh Krishnamurthy, Soumik Sarkar. 2992-2999 [doi]
• An Efficient Domain-Incremental Learning Approach to Drive in All Weather ConditionsMuhammad Jehanzeb Mirza, Marc Masana, Horst Possegger, Horst Bischof. 3000-3010 [doi]
• Physics Based Image Deshadowing Using Local Linear ModelTamir Einy, Efrat Immer, Gilad Vered, Shai Avidan. 3011-3019 [doi]
• DooDLeNet: Double DeepLab Enhanced Feature Fusion for Thermal-color Semantic SegmentationOriel Frigo, Lucien Martin-Gaffé, Catherine Wacongne. 3020-3028 [doi]
• RestoreX-AI: A Contrastive Approach towards Guiding Image Restoration via Explainable AI SystemsAboli Marathe, Pushkar Jain, Rahee Walambe, Ketan Kotecha. 3029-3038 [doi]
• A Categorized Reflection Removal Dataset with Diverse Real-world ScenesChenyang Lei, Xuhua Huang, Chenyang Qi, Yankun Zhao, Wenxiu Sun, Qiong Yan, Qifeng Chen. 3039-3047 [doi]
• PhoneDepth: A Dataset for Monocular Depth Estimation on Mobile DevicesFausto Tapia Benavides, Andrey Ignatov, Radu Timofte. 3048-3055 [doi]
• An Efficient Hybrid Model for Low-light Image Enhancement in Mobile DevicesZhicheng Fu, Miao Song, Chao Ma, Joe Nasti, Vivek Tyagi, Grant Lloyd, Wei Tang. 3056-3065 [doi]
• SMM-Conv: Scalar Matrix Multiplication with Zero Packing for Accelerated ConvolutionOfir Amir, Ben-Artzi Gil. 3066-3074 [doi]
• Update Compression for Deep Neural Networks on the EdgeBo Chen, Ali Bakhshi, Gustavo Batista, Brian Wai-Him Ng, Tat-Jun Chin. 3075-3085 [doi]
• RenderSR: A Lightweight Super-Resolution Model for Mobile Gaming UpscalingTingxingTim Dong, Hao Yan, Mayank Parasar, Raun Krisch. 3086-3094 [doi]
• Box-Grained Reranking Matching for Multi-Camera Multi-Target TrackingXipeng Yang, Jin Ye, Jincheng Lu, Chenting Gong, Minyue Jiang, Xiangru Lin, Wei Zhang 0197, Xiao Tan 0001, Yingying Li, Xiaoqing Ye, Errui Ding. 3095-3105 [doi]
• DeepACO: A Robust Deep Learning-based Automatic Checkout SystemLong Hoang Pham, Duong Nguyen-Ngoc Tran, Huy Hung Nguyen, Tai Huu-Phuong Tran, Hyung Joon Jeon, Hyung-Min Jeon, Jae Wook Jeon. 3106-3113 [doi]
• PersonGONE: Image Inpainting for Automated Checkout SolutionVojtech Bartl, Jakub Spanhel, Adam Herout. 3114-3122 [doi]
• OMG: Observe Multiple Granularities for Natural Language-Based Vehicle RetrievalYunhao Du, Binyu Zhang, Xiangning Ruan, Fei Su, Zhicheng Zhao, Hong Chen. 3123-3132 [doi]
• Text Query based Traffic Video Event Retrieval with Global-Local Fusion EmbeddingThang-Long Nguyen-Ho, Minh-Khoi Pham, Tien-Phat Nguyen, Hai Dang Nguyen, Minh N. Do, Tam V. Nguyen 0002, Minh-Triet Tran. 3133-3140 [doi]
• Natural Language-Based Vehicle Retrieval with Explicit Cross-Modal Representation LearningBocheng Xu, Yihua Xiong, Rui Zhang, Yanyi Feng, Haifeng Wu. 3141-3148 [doi]
• A Robust Traffic-Aware City-Scale Multi-Camera Vehicle Tracking Of VehiclesDuong Nguyen-Ngoc Tran, Long Hoang Pham, Hyung Joon Jeon, Huy Hung Nguyen, Hyung-Min Jeon, Tai Huu-Phuong Tran, Jae Wook Jeon. 3149-3158 [doi]
• Stargazer: A Transformer-based Driver Action Detection System for Intelligent TransportationJunwei Liang 0006, He Zhu, Enwei Zhang, Jun Zhang. 3159-3166 [doi]
• An Effective Temporal Localization Method with Multi-View 3D Action Recognition for Untrimmed Naturalistic Driving VideosManh Tung Tran, Minh Quan Vu, Ngoc Duong Hoang, Khac-Hoai Nam Bui. 3167-3172 [doi]
• Density-Guided Label Smoothing for Temporal Localization of Driving ActionsTunç Alkanat, Erkut Akdag, Egor Bondarev, Peter H. N. de With. 3173-3181 [doi]
• VISTA: Vision Transformer enhanced by U-Net and Image Colorfulness Frame Filtration for Automatic Retail CheckoutMd. Istiak Hossain Shihab, Nazia Tasnim, Hasib Zunair, Labiba Kanij Rupty, Nabeel Mohammed. 3182-3190 [doi]
• Detecting Vehicles on the Edge: Knowledge Distillation to Improve Performance in Heterogeneous Road TrafficManoj Bharadhwaj, Gitakrishnan Ramadurai, Balaraman Ravindran. 3191-3197 [doi]
• Improving Multi-Target Multi-Camera Tracking by Track Refinement and CompletionAndreas Specker, Lucas Florin, Mickael Cormier, Jürgen Beyerer. 3198-3208 [doi]
• A Region-Based Deep Learning Approach to Automated Retail CheckoutMaged Shoman, Armstrong Aboah, Alex Morehead, Ye Duan, Abdulateef Daud, Yaw Adu-Gyamfi. 3209-3214 [doi]
• A Multi-granularity Retrieval System for Natural Language-based Vehicle RetrievalJiacheng Zhang, Xiangru Lin, Minyue Jiang, Yue Yu, Chenting Gong, Wei Zhang, Xiao Tan 0001, Yingying Li, Errui Ding, Guanbin Li. 3215-3224 [doi]
• Symmetric Network with Spatial Relationship Modeling for Natural Language-based Vehicle RetrievalChuyang Zhao, Haobo Chen, Wenyuan Zhang, Junru Chen, Sipeng Zhang, Yadong Li, Boxun Li. 3225-3232 [doi]
• A Coarse-to-Fine Boundary Localization method for Naturalistic Driving Action RecognitionGuanchen Ding, Wenwei Han, Chenglong Wang, Mingpeng Cui, Lin Zhou, Dianbo Pan, Jiayi Wang, Junxi Zhang, Zhenzhong Chen. 3233-3240 [doi]
• MV-TAL: Mulit-view Temporal Action Localization in Naturalistic DrivingWei Li, Shimin Chen, Jianyang Gu, Ning Wang, Chen Chen, Yandong Guo. 3241-3247 [doi]
• Learning Generalized Feature for Temporal Action Detection: Application for Natural Driving Action Recognition ChallengeChuong Nguyen, Ngoc Nguyen, Su Huynh, Vinh Nguyen, Son Nguyen. 3248-3255 [doi]
• Multi-Camera Vehicle Tracking Based on Occlusion-aware and Inter-vehicle InformationYuming Liu, Xiaochun Zhang, Bingzhen Zhang, Xiaoyong Zhang, Sen Wang, Jianrong Xu. 3256-3263 [doi]
• Multi-Camera Vehicle Tracking System for AI City Challenge 2022Fei Li, Zhen Wang, Ding Nie, Shiyi ZHANG, Xingqun Jiang, Xingxing Zhao, Peng Hu. 3264-3272 [doi]
• Key Point-Based Driver Activity RecognitionArpita Vats, David C. Anastasiu. 3273-3280 [doi]
• An Effective Framework of Multi-Class Product Counting and Recognition for Automated Retail CheckoutJunfeng Wan, Shuhao Qian, Zihan Tian, Yanyun Zhao. 3281-3289 [doi]
• PAND: Precise Action Recognition on Naturalistic DrivingHangyue Zhao, Yuchao Xiao, Yanyun Zhao. 3290-3298 [doi]
• Tracked-Vehicle Retrieval by Natural Language Descriptions With Domain Adaptive KnowledgeHuy Dinh-Anh Le, Quang Qui-Vinh Nguyen, Vuong Ai Nguyen, Thong Duy-Minh Nguyen, Nhat Minh Chung, Tin Trung Thai, Synh Viet-Uyen Ha. 3299-3308 [doi]
• City-Scale Multi-Camera Vehicle Tracking based on Space-Time-Appearance FeaturesHui Yao, Zhizhao Duan, Zhen Xie, Jingbo Chen, Xi Wu, Duo Xu, YuTao Gao. 3309-3317 [doi]
• Temporal Driver Action Localization using Action Classification MethodsMunirah Alyahya, Shahad Alghannam, Taghreed Alhussan. 3318-3325 [doi]
• Multi-Camera Multi-Vehicle Tracking with Domain Generalization and Contextual ConstraintsNhat Minh Chung, Huy Dinh-Anh Le, Vuong Ai Nguyen, Quang Qui-Vinh Nguyen, Thong Duy-Minh Nguyen, Tin Trung Thai, Synh Viet-Uyen Ha. 3326-3336 [doi]
• Federated Learning-based Driver Activity Recognition for Edge DevicesKeval Doshi, Yasin Yilmaz. 3337-3345 [doi]
• The 6th AI City ChallengeMilind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng 0001, Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Qi Feng 0004, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Alice Li, Shangru Li, Rama Chellappa. 3346-3355 [doi]
• Adaptive Differential Filters for Fast and Communication-Efficient Federated LearningDaniel Becking, Heiner Kirchhoffer, Gerhard Tech, Paul Haase, Karsten Müller 0001, Heiko Schwarz, Wojciech Samek. 3366-3375 [doi]
• Communication-Efficient Federated Data Augmentation on Non-IID DataHui-Wen, Yue Wu, Jingjing Li, Hancong Duan. 3376-3385 [doi]
• Does Federated Dropout actually work?Gary Cheng 0004, Zachary Charles, Zachary Garrett, Keith Rush. 3386-3394 [doi]
• MPAF: Model Poisoning Attacks to Federated Learning based on Fake ClientsXiaoyu Cao, Neil Zhenqiang Gong. 3395-3403 [doi]
• Tragedy Plus Time: Capturing Unintended Human Activities from Weakly-labeled VideosArnav Chakravarthy, Zhiyuan Fang, Yezhou Yang. 3404-3414 [doi]
• Analysis and Extensions of Adversarial Training for Video ClassificationKaleab Alemayehu Kinfu, René Vidal. 3415-3424 [doi]
• CENet: Consolidation-and-Exploration Network for Continuous Domain AdaptationChi Zhang, Yalu Cheng, Pengxu Wei, Hongliang He, Jie Chen. 3425-3431 [doi]
• Pose-based Contrastive Learning for Domain Agnostic Activity RepresentationsDavid Schneider, M. Saquib Sarfraz, Alina Roitberg, Rainer Stiefelhagen. 3432-3442 [doi]
• Continual Active Adaptation to Evolving Distributional ShiftsAmrutha Machireddy, Ranganath Krishnan, Nilesh Ahuja, Omesh Tickoo. 3443-3449 [doi]
• Ice hockey player identification via transformers and weakly supervised learningKanav Vats, William J. McNally, Pascale Walters, David A. Clausi, John S. Zelek. 3450-3459 [doi]
• Efficient tracking of team sport players with few game-specific annotationsAdrien Maglo, Astrid Orcesi, Quoc-Cuong Pham. 3460-3470 [doi]
• 3D Ball Localization From A Single Calibrated ImageGabriel Van Zandycke, Christophe De Vleeschouwer. 3471-3479 [doi]
• Semi-Supervised Training to Improve Player and Ball Detection in SoccerRenaud Vandeghen, Anthony Cioppa, Marc Van Droogenbroeck. 3480-3489 [doi]
• SoccerNet-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer VideosAnthony Cioppa, Silvio Giancola, Adrien Deliège, Le Kang, Xin Zhou, Zhiyu Cheng, Bernard Ghanem, Marc Van Droogenbroeck. 3490-3501 [doi]
• Pass Receiver Prediction in Soccer using Video and Players' TrajectoriesYutaro Honda, Rei Kawakami, Ryota Yoshihashi, Kenta Kato, Takeshi Naemura. 3502-3511 [doi]
• MonoTrack: Shuttle trajectory reconstruction from monocular badminton videoPaul Liu, Jui-Hsien Wang. 3512-3521 [doi]
• Sports Field Registration via Keypoints-aware Label ConditionYen-Jui Chu, Jheng-Wei Su, Kai-Wen Hsiao, Chi-Yu Lien, Shu-Ho Fan, Min-Chun Hu 0001, Ruen-Rone Lee, Chih-Yuan Yao, Hung-Kuo Chu. 3522-3529 [doi]
• Recognition of Freely Selected Keypoints on Human LimbsKatja Ludwig, Daniel Kienzle, Rainer Lienhart. 3530-3538 [doi]
• Pose Tutor: An Explainable System for Pose Correction in the WildBhat Dittakavi, Divyagna Bavikadi, Sai Vikas Desai, Soumi Chakraborty, Nishant Reddy, Vineeth N. Balasubramanian, Bharathi Callepalli, Ayon Sharma. 3539-3548 [doi]
• End-to-End High-Risk Tackle Detection System for RugbyNaoki Nonaka, Ryo Fujihira, Monami Nishio, Hidetaka Murakami, Takuya Tajima, Mutsuo Yamada, Akira Maeda, Jun Seita. 3549-3558 [doi]
• Watch and Act: Dual Interacting Agents for Automatic Generation of Possession Statistics in SoccerSaikat Sarkar, Dipti Prasad Mukherjee, Amlan Chakrabarti. 3559-3567 [doi]
• SoccerTrack: A Dataset and Tracking Algorithm for Soccer with Fish-eye and Drone VideosAtom Scott, Ikuma Uchida, Masaki Onishi, Yoshinari Kameda, Kazuhiro Fukui, Keisuke Fujii 0001. 3568-3578 [doi]
• Interaction Classification with Key Actor Detection in Multi-Person Sports VideosFarzaneh Askari, Rohit Ramaprasad, James J. Clark, Martin D. Levine. 3579-3587 [doi]
• FenceNet: Fine-grained Footwork Recognition in FencingKevin Zhu, Alexander Wong, John McPhee 0001. 3588-3597 [doi]
• SymDNN: Simple & Effective Adversarial Robustness for Embedded SystemsSwarnava Dey, Pallab Dasgupta, Partha Pratim Chakrabarti. 3598-3608 [doi]
• Real-time Hyper-Dimensional Reconfiguration at the Edge using Hardware AcceleratorsIndhumathi Kandaswamy, Saurabh Farkya, Zachary Daniels, Gooitzen van der Wal, Aswin Raghavan, Yuzheng Zhang, Jun Hu, Michael Lomnitz, Michael A. Isnardi, David C. Zhang, Michael R. Piacentino. 3609-3617 [doi]
• Does Interference Exist When Training a Once-For-All Network?Jordan Shipard, Arnold Wiliem, Clinton Fookes. 3618-3627 [doi]
• On-Sensor Binarized Fully Convolutional Neural Network for Localisation and Coarse SegmentationYanan Liu, Yao Lu. 3628-3637 [doi]
• Efficient Multi-Purpose Cross-Attention Based Image Alignment Block for Edge DevicesBahri Batuhan Bilecen, Alparslan Fisne, Mustafa Ayazoglu. 3638-3647 [doi]
• ImageSig: A signature transform for ultra-lightweight image recognitionMohamed R. Ibrahim, Terry Lyons. 3648-3658 [doi]
• MAPLE-Edge: A Runtime Latency Predictor for Edge DevicesSaeejith Nair, Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee. 3659-3667 [doi]
• Multi-Dimensional Vision Transformer Compression via Dependency Guided Gaussian Process SearchZejiang Hou, Sun-Yuan Kung. 3668-3677 [doi]
• CSG0: Continual Urban Scene Generation with Zero ForgettingHimalaya Jain, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord. 3678-3686 [doi]
• Variable Few Shot Class Incremental and Open World LearningTouqeer Ahmad, Akshay Raj Dhamija, Mohsen Jafarzadeh, Steve Cruz, Ryan Rabinowitz, Chunchun Li, Terrance E. Boult. 3687-3698 [doi]
• Modeling Missing Annotations for Incremental Learning in Object DetectionFabio Cermelli, Antonino Geraci, Dario Fontanel, Barbara Caputo. 3699-3709 [doi]
• Continual Hippocampus Segmentation with TransformersAmin Ranem, Camila González, Anirban Mukhopadhyay 0003. 3710-3719 [doi]
• Entropy-based Stability-Plasticity for Lifelong LearningVladimir Araujo, Julio Hurtado, Alvaro Soto, Marie-Francine Moens. 3720-3727 [doi]
• Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image RecognitionKai Wang, Xialei Liu, Andy Bagdanov, Luis Herranz, Shangling Jui, Joost van de Weijer 0001. 3728-3738 [doi]
• Unsupervised Continual Learning for Gradually Varying DomainsAbu Md Niamul Taufique, Chowdhury Sadman Jahan, Andreas E. Savakis. 3739-3749 [doi]
• Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic SegmentationAntoine Saporta, Arthur Douillard, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord. 3750-3759 [doi]
• Spacing Loss for Discovering Novel CategoriesK. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han 0001, Vineeth N. Balasubramanian. 3760-3765 [doi]
• Visual Goal-Directed Meta-Imitation LearningCorban G. Rivera, David A. Handelman, Christopher R. Ratto, David Patrone, Bart L. Paulhamus. 3766-3772 [doi]
• Continual Learning with Transformers for Image ClassificationBeyza Ermis, Giovanni Zappella, Martin Wistuba, Aditya Rawal, Cédric Archambeau. 3773-3780 [doi]
• Attenuating Catastrophic Forgetting by Joint Contrastive and Incremental LearningQuentin Ferdinand, Benoit Clement, Quentin Oliveau, Gilles Le Chenadec, Panagiotis Papadakis. 3781-3788 [doi]
• Ex-Model: Continual Learning from a Stream of Trained ModelsAntonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu. 3789-3798 [doi]
• Medusa: Universal Feature Learning via Attentional MultitaskingJaime Spencer, Richard Bowden, Simon Hadfield. 3799-3808 [doi]
• Alleviating Representational Shift for Continual Fine-tuningShibo Jie, Zhi-Hong Deng, Ziheng Li. 3809-3818 [doi]
• Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight RegularizationFrancesco Pelosin, Saurav Jha, Andrea Torsello, Bogdan C. Raducanu, Joost van de Weijer 0001. 3819-3828 [doi]
• Online Unsupervised Domain Adaptation for Person Re-identificationHamza Rami, Matthieu Ospici, Stéphane Lathuilière. 3829-3838 [doi]
• Transferring Unconditional to Conditional GANs with Hyper-ModulationHéctor Laria Mantecon, Yaxing Wang, Joost van de Weijer 0001, Bogdan C. Raducanu. 3839-3848 [doi]
• Out-Of-Distribution Detection In Unsupervised Continual LearningJiangpeng He, Fengqing Zhu. 3849-3854 [doi]
• Continual Learning Based on OOD Detection and Task MaskingGyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao, Bing Liu 0001. 3855-3865 [doi]
• Continually Learning Self-Supervised Representations with Projected Functional RegularizationAlex Gomez-Villa, Bartlomiej Twardowski, Lu Yu, Andrew D. Bagdanov, Joost van de Weijer 0001. 3866-3876 [doi]
• CNLL: A Semi-supervised Approach For Continual Noisy Label LearningNazmul Karim, Umar Khalid, Ashkan Esmaeili, Nazanin Rahnavard. 3877-3887 [doi]
• Multi-Task Learning for Video Surveillance with Limited DataKeval Doshi, Yasin Yilmaz. 3888-3898 [doi]
• Few-Shot Class Incremental Learning Leveraging Self-Supervised FeaturesTouqeer Ahmad, Akshay Raj Dhamija, Steve Cruz, Ryan Rabinowitz, Chunchun Li, Mohsen Jafarzadeh, Terrance E. Boult. 3899-3909 [doi]
• Contrastive Regularization for Semi-Supervised LearningDoyup Lee, Sungwoong Kim, Ildoo Kim, Yeongjae Cheon, Minsu Cho, Wook-Shin Han. 3910-3919 [doi]
• CDAD: A Common Daily Action Dataset with Collected Hard Negative SamplesWangmeng Xiang, Chao Li, Ke Li, Biao Wang, Xian-Sheng Hua 0001, Lei Zhang. 3920-3929 [doi]
• Zero-shot Learning Using Multimodal DescriptionsUtkarsh Mall, Bharath Hariharan, Kavita Bala. 3930-3938 [doi]
• TDT: Teaching Detectors to Track without Fully Annotated VideosShuzhi Yu, Guanhang Wu, Chunhui Gu, Mohammed E. Fathy. 3939-3949 [doi]
• Consistency-based Active Learning for Object DetectionWeiPing Yu, Sijie Zhu, Taojiannan Yang, Chen Chen 0001. 3950-3959 [doi]
• Towards Open-Set Object Detection and DiscoveryJiyang Zheng, Weihao Li, Jie Hong, Lars Petersson, Nick Barnes. 3960-3969 [doi]
• Unsupervised Salient Object Detection with Spectral Cluster VotingGyungin Shin, Samuel Albanie, Weidi Xie. 3970-3979 [doi]
• Can domain adaptation make object recognition work for everyone?Viraj Prabhu, Ramprasaath R. Selvaraju, Judy Hoffman, Nikhil Naik. 3980-3987 [doi]
• Semantic Pose Verification for Outdoor Visual Localization with Self-supervised Contrastive LearningSemih Orhan, Josechu J. Guerrero, Yalin Bastanlar. 3988-3997 [doi]
• AuxMix: Semi-Supervised Learning with Unconstrained Unlabeled DataAmin Banitalebi-Dehkordi, Pratik Gujjar, Yong Zhang. 3998-4005 [doi]
• Self-Supervised Learning of Pose-Informed LatentsRaphaël Jean, Pierre-Luc St-Charles, Sören Pirk, Simon Brodeur. 4006-4015 [doi]
• Uniform Priors for Data-Efficient LearningSamarth Sinha, Karsten Roth, Anirudh Goyal, Marzyeh Ghassemi, Zeynep Akata, Hugo Larochelle, Animesh Garg. 4016-4027 [doi]
• Open-Set Domain Adaptation Under Few Source-Domain Labeled SamplesSayan Rakshit, Balasubramanian S, Hmrishav Bandyopadhyay, Piyush Bharambe, Sai Nandan Desetti, Biplab Banerjee, Subhasis Chaudhuri. 4028-4037 [doi]
• CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object DetectionKarim Guirguis, Ahmed Hendawy, George Eskandar, Mohamed Abdelsamad, Matthias Kayser, Jürgen Beyerer. 4038-4048 [doi]
• Faster, Lighter, Robuster: A Weakly-Supervised Crowd Analysis Enhancement Network and A Generic Feature Extraction FrameworkShaokai Wu, Zhaogeng Liu, Wencheng Pei, Jianbo Hong, Zhanshan Li. 4049-4058 [doi]
• Transformaly - Two (Feature Spaces) Are Better Than OneMatan Jacob Cohen, Shai Avidan. 4059-4068 [doi]
• Self-supervised Video Representation Learning with Cascade Positive RetrievalCheng-En Wu, Farley Lai, Yu Hen Hu, Asim Kadav. 4069-4078 [doi]
• Black-Box Test-Time Shape REFINEment for Single View 3D ReconstructionBrandon Leung, Chih-Hui Ho, Nuno Vasconcelos. 4079-4089 [doi]
• SaR: Self-adaptive Refinement on Pseudo Labels for Multiclass-Imbalanced Semi-supervised LearningZhengfeng Lai, Chao Wang, Sen-Ching S. Cheung, Chen-Nee Chuah. 4090-4099 [doi]
• ViTOL: Vision Transformer for Weakly Supervised Object LocalizationSaurav Gupta, Sourav Lakhotia, Abhay Rawat, Rahul Tallamraju. 4100-4109 [doi]
• What Should Be Equivariant In Self-Supervised LearningYuyang Xie, Jianhong Wen, Kin Wai Lau, Yasar Abbas Ur Rehman, Jiajun Shen. 4110-4119 [doi]
• Cluster-to-adapt: Few Shot Domain Adaptation for Semantic Segmentation across Disjoint LabelsTarun Kalluri, Manmohan Chandraker. 4120-4130 [doi]
• SCVRL: Shuffled Contrastive Video Representation LearningMichael Dorkenwald, Fanyi Xiao, Biagio Brattoli, Joseph Tighe, Davide Modolo. 4131-4140 [doi]
• Few-Shot Supervised Prototype Alignment for Pedestrian Detection on Fisheye ImagesThaddäus Wiedemer, Stefan Wolf, Arne Schumann, Kaisheng Ma, Jürgen Beyerer. 4141-4152 [doi]
• Bootstrapped Representation Learning for Skeleton-Based Action RecognitionOlivier Moliner, Sangxia Huang, Kalle Åström. 4153-4163 [doi]
• Attention Consistency on Visual Corruptions for Single-Source Domain GeneralizationIlke Çugu, Massimiliano Mancini, Yanbei Chen, Zeynep Akata. 4164-4173 [doi]
• Denoising Pretraining for Semantic SegmentationEmmanuel Asiedu Brempong, Simon Kornblith, Ting Chen, Niki Parmar, Matthias Minderer, Mohammad Norouzi 0002. 4174-4185 [doi]
• Few-Shot Image Classification Along Sparse GraphsJoseph F. Comer, Philip L. Jacobson, Heiko Hoffmann. 4186-4194 [doi]
• CoDo: Contrastive Learning with Downstream Background Invariance for DetectionBing Zhao, Jun Li, Hong Zhu. 4195-4200 [doi]
• Compositional Mixture Representations for Vision and TextStephan Alaniz, Marco Federici, Zeynep Akata. 4201-4210 [doi]
• Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data ScarcityNanqing Dong, Jiayi Wang, Irina Voiculescu. 4211-4219 [doi]
• Vicinal Counting NetworksViresh Ranjan, Minh Hoai. 4220-4229 [doi]
• Auxiliary Learning for Self-Supervised Video Representation via Similarity-based Knowledge DistillationAmirhossein Dadashzadeh, Alan L. Whone, Majid Mirmehdi. 4230-4239 [doi]
• Efficient Conditional Pre-training for Transfer LearningShuvam Chakraborty, Burak Uzkent, Kumar Ayush, Kumar Tanmay, Evan Sheehan, Stefano Ermon. 4240-4249 [doi]
• Domain Adaptable Normalization for Semi-Supervised Action Recognition in the DarkZixi Liang, Jiajun Chen, Rui Chen, Bingbing Zheng, Mingyue Zhou, Huaien Gao, Shan Lin. 4250-4257 [doi]
• Z-Domain Entropy Adaptable Flex for Semi-supervised Action Recognition in the DarkZhi Chen, Zijun Fan, Yongjie Li, Huaien Gao, Shan Lin. 4258-4265 [doi]
• TARDet: Two-stage Anchor-free Rotating Object Detector in Aerial ImagesLonggang Dai, Hongming Chen, Yufeng Li, Caihua Kong, Zhentao Fan, Jiyang Lu, Xiang Chen. 4266-4274 [doi]
• Deep Scale-space Mining Network for Single Image DerainingPengpeng Li, Jiyu Jin, Guiyue Jin, Lei Fan, Xiao Gao, Tianyu Song, Xiang Chen. 4275-4284 [doi]
• Locating Urban Trees near Electric Wires using Google Street View Photos: A New Dataset and A Semi-Supervised Learning Approach in the WildArtur André A. M. Oliveira, Zhangyang Wang, Roberto Hirata. 4285-4293 [doi]
• Contrastive Learning-based Robust Object Detection under Smoky ConditionsWei Wu 0019, Hao Chang, Yonghua Zheng, Zhu Li, Zhiwen Chen, Ziheng Zhang. 4294-4301 [doi]
• Detecting, Tracking and Counting Motorcycle Rider Traffic Violations on Unconstrained RoadsAman Goyal, Dev Agarwal, Anbumani Subramanian, C. V. Jawahar, Ravi Kiran Sarvadevabhatla, Rohit Saluja. 4302-4311 [doi]
• Person Re-identification Method Based on Color Attack and Joint DefenceYunpeng Gong, Liqing Huang, Lifei Chen. 4312-4321 [doi]
• Improving Robustness to Texture Bias via Shape-focused AugmentationSangjun Lee, Inwoo Hwang, Gi-Cheon Kang, Byoung-Tak Zhang. 4322-4330 [doi]
• Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy SystemsGaurav Kumar Nayak, Ruchit Rawal, Rohit Lal, Himanshu Patil, Anirban Chakraborty. 4331-4340 [doi]
• HMIway-env: A Framework for Simulating Behaviors and Preferences to Support Human-AI Teaming in DrivingDeepak Gopinath, Jonathan A. DeCastro, Guy Rosman, Emily Sumner, Allison Morgan, Shabnam Hakimi, Simon Stent. 4341-4349 [doi]
• PyTorch-OOD: A Library for Out-of-Distribution Detection based on PyTorchKonstantin Kirchheim, Marco Filax, Frank Ortmeier. 4350-4359 [doi]
• Efficient Two-stage Model Retraining for Machine UnlearningJunyaup Kim, Simon S. Woo. 4360-4368 [doi]
• Reconstruct from Top View: A 3D Lane Detection Approach based on Geometry Structure PriorChenguang Li, Jia Shi, Ya Wang, Guangliang Cheng. 4369-4378 [doi]
• Multi-level Domain Adaptation for Lane DetectionChenguang Li, Boheng Zhang, Jia Shi, Guangliang Cheng. 4379-4388 [doi]
• PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving SystemsShu Hu, Chun-Hao Liu, Jayanta Dutta, Ming-Ching Chang, Siwei Lyu, Naveen Ramakrishnan. 4389-4397 [doi]
• Performance Prediction for Semantic Segmentation by a Self-Supervised Image Reconstruction DecoderAndreas Bär, Marvin Klingner, Jonas Löhdefink, Fabian Hüger, Peter Schlicht, Tim Fingscheidt. 4398-4407 [doi]
• Raising context awareness in motion forecastingHedi Ben-younes, Éloi Zablocki, Mickaël Chen, Patrick Pérez, Matthieu Cord. 4408-4417 [doi]
• PointMotionNet: Point-Wise Motion Learning for Large-Scale LiDAR Point Clouds SequencesJun Wang, Xiaolong Li, Alan Sullivan, Lynn Abbott, Siheng Chen. 4418-4427 [doi]
• Towards Robust Semantic Segmentation of Accident Scenes via Multi-Source Mixed Sampling and Meta-LearningXinyu Luo, Jiaming Zhang, Kailun Yang 0001, Alina Roitberg, Kunyu Peng, Rainer Stiefelhagen. 4428-4438 [doi]
• RoadSaW: A Large-Scale Dataset for Camera-Based Road Surface and Wetness EstimationKai Cordes, Christoph Reinders, Paul Hindricks, Jonas Lammers, Bodo Rosenhahn, Hellward Broszio. 4439-4448 [doi]
• K-Lane: Lidar Lane Dataset and Benchmark for Urban Roads and HighwaysDong-Hee Paek, Seung-Hyung Kong, Kevin Tirta Wijaya. 4449-4458 [doi]
• H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar GeometryBaoru Huang, Jian-Qing Zheng, Stamatia Giannarou, Daniel S. Elson. 4459-4466 [doi]
• Trust Your IMU: Consequences of Ignoring the IMU DriftMarcus Valtonen Örnhag, Patrik Persson, Mårten Wadenbäck, Kalle Åström, Anders Heyden. 4467-4476 [doi]
• Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous DrivingJingxiao Zheng, Xinwei Shi, Alexander N. Gorban, Junhua Mao, Yang Song, Charles R. Qi, Ting Liu, Visesh Chari, Andre Cornman, Yin Zhou, Congcong Li, Dragomir Anguelov. 4477-4486 [doi]
• Anomaly Detection in Autonomous Driving: A SurveyDaniel Bogdoll, Maximilian Nitsche, J. Marius Zöllner. 4487-4498 [doi]
• TripletTrack: 3D Object Tracking using Triplet Embeddings and LSTMNicola Marinello, Marc Proesmans, Luc Van Gool. 4499-4509 [doi]
• Scene Representation in Bird's-Eye View from Surrounding Cameras with TransformersYun Zhao, Yu Zhang, Zhan Gong, Hong Zhu. 4510-4518 [doi]
• CarlaScenes: A synthetic dataset for odometry in autonomous drivingAndreas Kloukiniotis, Andreas Papandreou, Christos Anagnostopoulos, Aris S. Lalos, Petros Kapsalas, D. V. Nguyen, Konstantinos Moustakas. 4519-4527 [doi]
• Proposal-free Lidar Panoptic Segmentation with Pillar-level AffinityQi Chen, Sourabh Vora. 4528-4535 [doi]
• MUTR3D: A Multi-camera Tracking Framework via 3D-to-2D QueriesTianyuan Zhang, Xuanyao Chen, Yue Wang, Yilun Wang, Hang Zhao. 4536-4545 [doi]
• Probabilistic Compositional Embeddings for Multimodal Image RetrievalNeculai Andrei, Yanbei Chen, Zeynep Akata. 4546-4556 [doi]
• Coarse-to-Fine Reasoning for Visual Question AnsweringBinh X. Nguyen, Tuong Do, Huy Tran, Erman Tjiputra, Quang D. Tran, Anh Nguyen. 4557-4565 [doi]
• Transformer Decoders with MultiModal Regularization for Cross-Modal Food RetrievalMustafa Shukor, Guillaume Couairon, Asya Grechka, Matthieu Cord. 4566-4577 [doi]
• Improving Multimodal Speech Recognition by Data Augmentation and Speech RepresentationsDan Oneata, Horia Cucu. 4578-4587 [doi]
• Semantically Grounded Visual Embeddings for Zero-Shot LearningShah Nawaz, Jacopo Cavazza, Alessio Del Bue. 4588-4598 [doi]
• Reasoning with Multi-Structure Commonsense Knowledge in Visual DialogShunyu Zhang, Xiaoze Jiang, Zequn Yang, Tao Wan, Zengchang Qin. 4599-4608 [doi]
• Modulating Bottom-Up and Top-Down Visual Processing via Language-Conditional FiltersIlker Kesen, Ozan Arkan Can, Erkut Erdem, Aykut Erdem, Deniz Yüret. 4609-4619 [doi]
• Coupling Vision and Proprioception for Navigation of Legged RobotsZipeng Fu, Ashish Kumar, Ananye Agarwal, Haozhi Qi, Jitendra Malik, Deepak Pathak. 4620-4630 [doi]
• Emphasizing Complementary Samples for Non-literal Cross-modal RetrievalChristopher Thomas 0004, Adriana Kovashka. 4631-4640 [doi]
• Doubling down: sparse grounding with an additional, almost-matching caption for detection-oriented multimodal pretrainingGiacomo Nebbia, Adriana Kovashka. 4641-4650 [doi]
• M2FNet: Multi-modal Fusion Network for Emotion Recognition in ConversationVishal Chudasama, Purbayan Kar, Ashish Gudmalwar, Nirmesh Shah, Pankaj Wasnik, Naoyuki Onoe. 4651-4660 [doi]
• The Unreasonable Effectiveness of CLIP Features for Image Captioning: An Experimental AnalysisManuele Barraco, Marcella Cornia, Silvia Cascianelli, Lorenzo Baraldi, Rita Cucchiara. 4661-4669 [doi]
• Guiding Attention using Partial-Order Relationships for Image CaptioningMurad Popattia, Muhammad Rafi, Rizwan Qureshi, Shah Nawaz. 4670-4679 [doi]
• Learning to Ask Informative Sub-Questions for Visual Question AnsweringKohei Uehara, Nan Duan, Tatsuya Harada. 4680-4689 [doi]
• Cascaded Siamese Self-supervised Audio to Video GANNuha Aldausari, Arcot Sowmya, Nadine Marcus, Gelareh Mohammadi. 4690-4699 [doi]
• Multi-view Multi-label Canonical Correlation Analysis for Cross-modal Matching and RetrievalRushil Sanghavi, Yashaswi Verma. 4700-4709 [doi]
• Delving into High-Quality Synthetic Face Occlusion Segmentation DatasetsKenny T. R. Voo, Liming Jiang, Chen Change Loy. 4710-4719 [doi]
• A Challenging Benchmark of Anime Style RecognitionHaotang Li, Shengtao Guo, Kailin Lyu, Xiao Yang, Tianchen Chen, Jianqing Zhu, Huanqiang Zeng. 4720-4729 [doi]
• Rethinking Illumination for Person Re-Identification: A Unified ViewSuncheng Xiang, Guanjie You, Leqi Li, Mengyuan Guan, Ting Liu, Dahong Qian, Yuzhuo Fu. 4730-4738 [doi]
• What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and MetricsDavid M. Chan, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, Bryan Seybold, John F. Canny. 4739-4748 [doi]
• Dataset Distillation by Matching Training TrajectoriesGeorge Cazenavette, Tongzhou Wang 0001, Antonio Torralba 0001, Alexei A. Efros, Jun-Yan Zhu. 4749-4758 [doi]
• Can the Mathematical Correctness of Object Configurations Affect the Accuracy of Their Perception?Han Jiang, Zeqian Li, Jacob Whitehill. 4759-4765 [doi]
• Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task SamplingEtienne Bennequin, Myriam Tami, Antoine Toubhans, Céline Hudelot. 4766-4775 [doi]
• BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-trainingLikun Cai, Zhi Zhang, Yi Zhu, Li Zhang, Mu Li, Xiangyang Xue. 4776-4786 [doi]
• Towards Explaining Image-Based Distribution ShiftsSean Kulinski, David I. Inouye. 4787-4791 [doi]
• deepPIC: Deep Perceptual Image Clustering For Identifying Bias In Vision DatasetsNikita Jaipuria, Katherine Stevo, Xianling Zhang, Meghana L. Gaopande, Ian Calle Garcia, Jinesh Jain, Vidya N. Murali. 4792-4801 [doi]
• On the Choice of Data for Efficient Training and Validation of End-to-End Driving ModelsMarvin Klingner, Konstantin Müller, Mona Mirzaie, Jasmin Breitenstein, Jan-Aike Termöhlen, Tim Fingscheidt. 4802-4811 [doi]
• Can we trust bounding box annotations for object detection?Jeffri Murrugarra-Llerena, Ln Kirsten, Cláudio R. Jung. 4812-4821 [doi]
• Why Object Detectors Fail: Investigating the Influence of the DatasetDimity Miller, Georgia Goode, Callum Bennie, Peyman Moghadam, Raja Jurdak. 4822-4829 [doi]
• Dark Corner on Skin Lesion Image Dataset: Does it matter?Samuel William Pewton, Moi Hoon Yap. 4830-4838 [doi]
• Mitigating Paucity of Data in Sinusoid Characterization Using Generative Synthetic NoiseSam Sattarzadeh, Shervin Manzuri Shalmani, Shervin Azad. 4839-4848 [doi]
• The Effect of Improving Annotation Quality on Object Detection Datasets: A Preliminary StudyJiaxin Ma, Yoshitaka Ushiku, Miori Sagara. 4849-4858 [doi]
• The Topology and Language of Relationships in the Visual Genome DatasetDavid Abou Chacra, John S. Zelek. 4859-4867 [doi]
• Analysis of Temporal Tensor Datasets on Product Grassmann ManifoldBojan Batalo, Lincon S. Souza, Bernardo B. Gatto, Naoya Sogi, Kazuhiro Fukui. 4868-4876 [doi]
• A3D: Studying Pretrained Representations with Programmable DatasetsYe Wang, Norman Mu, Daniele Grandi, Nicolas Savva, Jacob Steinhardt. 4877-4885 [doi]
• Investigating Neural Architectures by Synthetic Dataset DesignAdrien Courtois, Jean-Michel Morel, Pablo Arias. 4886-4895 [doi]
• Self-supervision versus synthetic datasets: which is the lesser evil in the context of video denoising?Valéry Dewil, Arnaud Barral, Gabriele Facciolo, Pablo Arias. 4896-4906 [doi]
• Good, Better, Best: Textual Distractors Generation for Multiple-Choice Visual Question Answering via Reinforcement LearningJiaying Lu 0001, Xin Ye, Yi Ren, Yezhou Yang. 4917-4926 [doi]
• Cross-modal Target Retrieval for Tracking by Natural LanguageYihao Li, Jun Yu, Zhongpeng Cai, Yuwen Pan. 4927-4936 [doi]
• Deep Normalized Cross-Modal Hashing with Bi-Direction Relation ReasoningChangchang Sun, Hugo Latapie, Gaowen Liu, Yan Yan 0002. 4937-4945 [doi]
• Embedding Arithmetic of Multimodal Queries for Image RetrievalGuillaume Couairon, Matthijs Douze, Matthieu Cord, Holger Schwenk. 4946-4954 [doi]
• Conditioned and composed image retrieval combining and partially fine-tuning CLIP-based featuresAlberto Baldrati, Marco Bertini, Tiberio Uricchio, Alberto Del Bimbo. 4955-4964 [doi]
• Object Prior Embedded Network for Query-Agnostic Image RetrievalYikang Li 0001, Jenhao Hsiao, Chiuman Ho. 4965-4970 [doi]
• Deep Image Retrieval is not Robust to Label NoiseStanislav Dereka, Ivan Karpukhin, Sergey Kolesnikov. 4971-4976 [doi]
• Learning-by-Novel-View-Synthesis for Full-Face Appearance-Based 3D Gaze EstimationJiawei Qin, Takuru Shimoyama, Yusuke Sugano. 4977-4987 [doi]
• Self-Attention with Convolution and Deconvolution for Efficient Eye Gaze Estimation from a Full Face ImageJun O. Oh, Hyung Jin Chang, Sang-Il Choi. 4988-4996 [doi]
• Unsupervised Multi-View Gaze Representation LearningJohn Gideon, Shan Su, Simon Stent. 4997-5005 [doi]
• ScanpathNet: A Recurrent Mixture Density Network for Scanpath PredictionRyan Anthony Jalova de Belen, Tomasz Bednarz, Arcot Sowmya. 5006-5016 [doi]
• One-Stage Object Referring with Gaze EstimationJianhang Chen, Xu Zhang, Yue Wu 0001, Shalini Ghosh, Pradeep Natarajan, Shih-Fu Chang, Jan P. Allebach. 5017-5026 [doi]
• Characterizing Target-absent Human AttentionYupei Chen, Zhibo Yang, Souradeep Chakraborty, Sounak Mondal, Seoyoung Ahn, Dimitris Samaras, Minh Hoai, Gregory J. Zelinsky. 5027-5036 [doi]
• A Modular Multimodal Architecture for Gaze Target Prediction: Application to Privacy-Sensitive SettingsAnshul Gupta, Samy Tafasca, Jean-Marc Odobez. 5037-5046 [doi]
• Unstructured Object Matching using Co-Salient Region SegmentationIoana-Sabina Stoian, Ionut-Catalin Sandu, Daniel Voinea, Alin-Ionut Popa. 5047-5056 [doi]
• Nerfels: Renderable Neural Codes for Improved Camera Pose EstimationGil Avraham, Julian Straub, Tianwei Shen, Tsun-Yi Yang, Hugo Germain, Chris Sweeney, Vasileios Balntas, David Novotný, Daniel DeTone, Richard A. Newcombe. 5057-5066 [doi]
• Feature Query Networks: Neural Surface Description for Camera Pose RefinementHugo Germain, Daniel DeTone, Geoffrey Pascoe, Tanner Schmidt, David Novotny, Richard Newcombe, Chris Sweeney, Richard Szeliski, Vasileios Balntas. 5067-5077 [doi]
• Learning Co-segmentation by Segment Swapping for Retrieval and DiscoveryXi Shen 0001, Alexei A. Efros, Armand Joulin, Mathieu Aubry. 5078-5088 [doi]
• DA-AE: Disparity-Alleviation Auto-Encoder Towards Categorization of Heritage Images for Aggrandized 3D ReconstructionDikshit Hegde, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudengudi. 5089-5096 [doi]
• Detecting and Suppressing Marine Snow for Underwater Visual SLAMLars Martin Hodne, Eirik Leikvoll, Mauhing Yip, Andreas Langeland Teigen, Annette Stahl, Rudolf Mester. 5097-5105 [doi]
• A case for using rotation invariant features in state of the art feature matchersGeorg Bökman, Fredrik Kahl. 5106-5115 [doi]
• The Role of Shape for Domain Generalization on Sparsely-Textured ImagesNarges Honarvar Nazari, Adriana Kovashka. 5116-5126 [doi]
• SSR-GNNs: Stroke-based Sketch Representation with Graph Neural NetworksSheng Cheng, Yi Ren, Yezhou Yang. 5127-5137 [doi]
• Constellations: A novel dataset for studying iterative inference in humans and AITarun Khajuria, Kadi Tulver, Taavi Luik, Jaan Aru. 5138-5148 [doi]
• Leveraging Unlabeled Data for Sketch-based UnderstandingJavier Morales, Nils Murrugarra-Llerena, Jose M. Saavedra. 5149-5158 [doi]
• Signature Detection, Restoration, and Verification: A Novel Chinese Document Signature Forgery Detection BenchmarkKaihong Yan, Ying Zhang, Haoran Tang, Chengkai Ren, Jian Zhang, Gaoang Wang, Hongwei Wang. 5159-5168 [doi]
• Rethinking Supervised Depth Estimation for 360° Panoramic ImageryLu He, Bing Jian, Yangming Wen, Haichao Zhu, Kelin Liu, Weiwei Feng, Shan Liu. 5169-5177 [doi]
• SPIN: Simplifying Polar Invariance for Neural networks Application to vision-based irradiance forecastingQuentin Paletta, Anthony Hu, Guillaume Arbod, Philippe Blanc, Joan Lasenby. 5178-5187 [doi]
• 3D Room Layout Recovery Generalizing across Manhattan and Non-Manhattan WorldsHaijing Jia, Hong Yi, Hirochika Fujiki, Hengzhi Zhang, Wei Wang, Makoto Odamaki. 5188-5197 [doi]
• Pose Estimation for Two-View Panoramas based on Keypoint Matching: a Comparative Study and Critical AnalysisJeffri Murrugarra-Llerena, Thiago Lopes Trugillo da Silveira, Cláudio R. Jung. 5198-5207 [doi]
• HiMODE: A Hybrid Monocular Omnidirectional Depth Estimation ModelMasum Shah Junayed, Arezoo Sadeghzadeh, Md Baharul Islam, Lai-Kuan Wong, Tarkan Aydin. 5208-5217 [doi]
• A New Non-central Model for Fisheye CalibrationRadka Tezaur, Avinash Kumar, Oscar Nestares. 5218-5227 [doi]
• Photometric Visual Gyroscope for Full-View Spherical CameraAntoine N. André, Guillaume Caron. 5228-5231 [doi]