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ORCIDCVPR 2022: New Orleans, LA, USA - Workshops
- IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2022, New Orleans, LA, USA, June 19-20, 2022. IEEE 2022, ISBN 978-1-6654-8739-9
- Chandrakanth Gudavalli
, Erik Rosten, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B. S. Manjunath:
SeeTheSeams: Localized Detection of Seam Carving based Image Forgery in Satellite Imagery. 1-11 - Yunsheng Ni, Depu Meng, Changqian Yu, Chengbin Quan, Dongchun Ren, Youjian Zhao:
CORE: Consistent Representation Learning for Face Forgery Detection. 12-21 - Susmit Agrawal, Prabhat Kumar, Siddharth Seth, Toufiq Parag, Maneesh Singh, R. Venkatesh Babu:
SISL: Self-Supervised Image Signature Learning for Splicing Detection & Localization. 22-32 - Maksym Andriushchenko, Xiaoyang Rebecca Li, Geoffrey Oxholm, Thomas Gittings, Tu Bui, Nicolas Flammarion, John P. Collomosse:
ARIA: Adversarially Robust Image Attribution for Content Provenance. 33-43 - Neerja Thakkar, Georgios Pavlakos, Hany Farid:
The Reliability of Forensic Body-Shape Identification. 44-52 - Candice R. Gerstner, Hany Farid:
Detecting Real-Time Deep-Fake Videos Using Active Illumination. 53-60 - Luca Guarnera, Oliver Giudice, Matthias Nießner, Sebastiano Battiato:
On the Exploitation of Deepfake Model Recognition. 61-70 - Stefano Borzì, Oliver Giudice, Filippo Stanco, Dario Allegra:
Is synthetic voice detection research going into the right direction? 71-80 - Sowmen Das, Md. Saiful Islam, Md. Ruhul Amin:
GCA-Net : Utilizing Gated Context Attention for Improving Image Forgery Localization and Detection. 81-90 - Aakash Varma Nadimpalli, Ajita Rattani:
On Improving Cross-dataset Generalization of Deepfake Detectors. 91-99 - Yuwei Chen:
Rethinking Adversarial Examples in Wargames. 100-106 - Jingyang Zhang, Yiran Chen, Hai Helen Li:
Privacy Leakage of Adversarial Training Models in Federated Learning Systems. 107-113 - Jun Guo, Yonghong Chen, Yihang Hao, Zixin Yin, Yin Yu, Simin Li:
Towards Comprehensive Testing on the Robustness of Cooperative Multi-agent Reinforcement Learning. 114-121 - William Paul, Philippe Burlina:
Robustness and Adaptation to Hidden Factors of Variation. 122-129 - Nupur Thakur, Baoxin Li:
PAT: Pseudo-Adversarial Training For Detecting Adversarial Videos. 130-137 - Paul Gavrikov, Janis Keuper:
Adversarial Robustness through the Lens of Convolutional Filters. 138-146 - Donggon Jang, Sanghyeok Son, Dae-Shik Kim:
Strengthening the Transferability of Adversarial Examples Using Advanced Looking Ahead and Self-CutMix. 147-154 - Zoë Papakipos, Joanna Bitton:
AugLy: Data Augmentations for Adversarial Robustness. 155-162 - Umar Khalid, Ashkan Esmaeili, Nazmul Karim, Nazanin Rahnavard:
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection. 163-170 - Hong Chen, Yuxuan Wen, Yifu Ding, Zhen Yang, Yufei Guo, Haotong Qin:
An Empirical study of Data-Free Quantization's Tuning Robustness. 171-177 - Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh:
Exploring Robustness Connection between Artificial and Natural Adversarial Examples. 178-185 - Tanmay Chakraborty, Utkarsh Trehan, Khawla Mallat, Jean-Luc Dugelay:
Generalizing Adversarial Explanations with Grad-CAM. 186-192 - Mirazul Haque, Christof J. Budnik, Wei Yang:
CorrGAN: Input Transformation Technique Against Natural Corruptions. 193-196 - Pedro Sandoval Segura, Vasu Singla, Liam Fowl, Jonas Geiping, Micah Goldblum, David Jacobs, Tom Goldstein:
Poisons that are learned faster are more effective. 197-204 - Furkan Mumcu, Keval Doshi, Yasin Yilmaz:
Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems. 205-212 - Tessa Phillips, Waleed H. Abdulla:
Variational Autoencoders for Generating Hyperspectral Imaging Honey Adulteration Data. 213-220 - Kebin Peng, Rifatul Islam, John Quarles, Kevin Desai:
TMVNet : Using Transformers for Multi-view Voxel-based 3D Reconstruction. 221-229 - Pascal Schneider, Jason R. Rambach, Bruno Mirbach, Didier Stricker:
Unsupervised Anomaly Detection from Time-of-Flight Depth Images. 230-239 - Engin Uzun, Ahmet Anil Dursun, Erdem Akagündüz:
Augmentation of Atmospheric Turbulence Effects on Thermal Adapted Object Detection Models. 240-247 - Gongzhe Li, Linpeng Pan, Linwei Qiu, Zhiwen Tan, Fengying Xie, Haopeng Zhang:
A Two-Stage Shake-Shake Network for Long-Tailed Recognition of SAR Aerial View Objects. 248-255 - Hongyi Pan, Diaa Badawi, Chang Chen, Adam C. Watts, Erdem Koyuncu, Ahmet Enis Çetin:
Deep Neural Network with Walsh-Hadamard Transform Layer For Ember Detection during a Wildfire. 256-265 - Junjun Jiang, Chenyang Wang, Xianming Liu, Kui Jiang, Jiayi Ma:
From Less to More: Spectral Splitting and Aggregation Network for Hyperspectral Face Super-Resolution. 266-275 - Wassim A. El Ahmar, Dhanvin Kolhatkar, Farzan Erlik Nowruzi, Hamzah Alghamdi, Jonathan Hou, Robert Laganière:
Multiple Object Detection and Tracking in the Thermal Spectrum. 276-284 - Zülfiye Kütük, Görkem Algan:
Semantic Segmentation for Thermal Images: A Comparative Survey. 285-294 - Chaitra Desai, Badduri Sai Sudheer Reddy, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi:
AquaGAN: Restoration of Underwater Images. 295-303 - Jun Yu, Liwen Zhang, Shenshen Du, Hao Chang, Keda Lu, Zhong Zhang, Ye Yu, Lei Wang, Qiang Ling:
Pseudo-label Generation and Various Data Augmentation for Semi-Supervised Hyperspectral Object Detection. 304-311 - Fan Zhang, Shaodi You, Yu Li, Ying Fu:
HSI-Guided Intrinsic Image Decomposition for Outdoor Scenes. 312-321 - Mohamed Ramzy Ibrahim, Robert Benavente, Felipe Lumbreras, Daniel Ponsa:
3DRRDB: Super Resolution of Multiple Remote Sensing Images using 3D Residual in Residual Dense Blocks. 322-331 - Brian K. S. Isaac-Medina, Neelanjan Bhowmik, Chris G. Willcocks, Toby P. Breckon:
Cross-modal Image Synthesis within Dual-Energy X-ray Security Imagery. 332-340 - Kai Wang, Qigong Sun, Yicheng Wang, Huiyuan Wei, Chonghua Lv, Xiaolin Tian, Xu Liu:
CIPPSRNet: A Camera Internal Parameters Perception Network Based Contrastive Learning for Thermal Image Super-Resolution. 341-348 - Spencer Low, Oliver Nina, Ángel D. Sappa, Erik Blasch, Nathan Inkawhich:
Multi-modal Aerial View Object Classification Challenge Results - PBVS 2022. 349-357 - Max Holmberg, Oskar Karlsson, Michael Tulldahl:
Lidar Positioning for Indoor Precision Navigation. 358-367 - Neelanjan Bhowmik, Jack W. Barker, Yona Falinie A. Gaus, Toby P. Breckon:
Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery. 368-377 - Heena Patel, Kalpesh Prajapati, Anjali Sarvaiya, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch:
Depthwise Convolution For Compact Object Detector In nighttime Images. 378-388 - Aneesh Rangnekar, Zachary Mulhollan, Anthony Vodacek, Matthew J. Hoffman, Ángel D. Sappa, Erik Blasch, Jun Yu, Liwen Zhang, Shenshen Du, Hao Chang, Keda Lu, Zhong Zhang, Fang Gao, Ye Yu, Feng Shuang, Lei Wang, Qiang Ling, Pranjay Shyam, Kuk-Jin Yoon, Kyung-Soo Kim:
Semi-Supervised Hyperspectral Object Detection Challenge Results - PBVS 2022. 389-397 - Soufiane Lamghari, Guillaume-Alexandre Bilodeau, Nicolas Saunier:
ActAR: Actor-Driven Pose Embeddings for Video Action Recognition. 398-407 - Paheding Sidike, Abel A. Reyes, Anush Kasaragod, Thomas Oommen:
GAF-NAU: Gramian Angular Field encoded Neighborhood Attention U-Net for Pixel-Wise Hyperspectral Image Classification. 408-416 - Rafael 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, 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:
Thermal Image Super-Resolution Challenge Results - PBVS 2022. 417-425 - Nate Lannan, Le Zhou, Guoliang Fan:
A Multiview Depth-based Motion Capture Benchmark Dataset for Human Motion Denoising and Enhancement Research. 426-435 - Dong Huo, Abbas Masoumzadeh, Yee-Hong Yang:
Blind Non-Uniform Motion Deblurring using Atrous Spatial Pyramid Deformable Convolution and Deblurring-Reblurring Consistency. 436-445 - Zhaojie Chen, Qi Li, Huajun Feng, Zhihai Xu, Yueting Chen:
Nonuniformly Dehaze Network for Visible Remote Sensing Images. 446-455 - Zhisheng Lu, Juncheng Li, Hong Liu, Chaoyan Huang, Linlin Zhang, Tieyong Zeng:
Transformer for Single Image Super-Resolution. 456-465 - Abhishek Kumar Sinha, S. Manthira Moorthi, Debajyoti Dhar:
NL-FFC: Non-Local Fast Fourier Convolution for Image Super Resolution. 466-475 - Soo Ye Kim, Kfir Aberman, Nori Kanazawa, Rahul Garg, Neal Wadhwa, Huiwen Chang, Nikhil Karnad, Munchurl Kim, Orly Liba:
Zoom-to-Inpaint: Image Inpainting with High-Frequency Details. 476-486 - Tian Ye, Sixiang Chen, Yun Liu, Yi Ye, Erkang Chen, Yuche Li:
Underwater Light Field Retention : Neural Rendering for Underwater Imaging. 487-496 - Wei Jiang, Wei Wang, Songnan Li, Shan Liu:
Online Meta Adaptation for Variable-Rate Learned Image Compression. 497-505 - Dena Bazazian, Andrew Calway, Dima Damen:
Dual-Domain Image Synthesis using Segmentation-Guided GAN. 506-515 - Jiuhong Xiao, Lavisha Aggarwal, Prithviraj Banerjee, Manoj Aggarwal, Gerard Medioni:
Identity Preserving Loss for Learned Image Compression. 516-525 - Wenlong Zhang, Guangyuan Shi, Yihao Liu, Chao Dong, Xiao-Ming Wu:
A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds. 526-535 - Wooksu Shin, Namhyuk Ahn, Jeong-Hyeon Moon, Kyung-Ah Sohn:
Exploiting Distortion Information for Multi-degraded Image Restoration. 536-545 - Nico Messikommer, Stamatios Georgoulis, Daniel Gehrig, Stepan Tulyakov, Julius Erbach, Alfredo Bochicchio, Yuanyou Li, Davide Scaramuzza:
Multi-Bracket High Dynamic Range Imaging with Event Cameras. 546-556 - Juncheng Li, Hanhui Yang, Qiaosi Yi, Faming Fang, Guangwei Gao, Tieyong Zeng, Guixu Zhang:
Multiple Degradation and Reconstruction Network for Single Image Denoising via Knowledge Distillation. 557-566 - Yuuto Nanba, Hikaru Miyata, Xian-Hua Han:
Dual Heterogeneous Complementary Networks for Single Image Deraining. 567-576 - Furkan Kinli, Baris Özcan, Furkan Kiraç:
Patch-wise Contrastive Style Learning for Instagram Filter Removal. 577-587 - Yuanchu Liang, Saeed Anwar, Yang Liu:
DRT: A Lightweight Single Image Deraining Recursive Transformer. 588-597 - Jianhao Gao, Quanlong Zheng, Yandong Guo:
Towards Real-world Shadow Removal with a Shadow Simulation Method and a Two-stage Framework. 598-607 - Jianhao Gao, Jie Li, Xin Su, Menghui Jiang, Qiangqiang Yuan:
Deep Image Interpolation: A Unified Unsupervised Framework for Pansharpening. 608-617 - Yohei Yamashita, Kodai Shimosato, Norimichi Ukita:
Boundary-aware Image Inpainting with Multiple Auxiliary Cues. 618-628 - Igor Morawski, Yu-An Chen, Yu-Sheng Lin, Shusil Dangi, Kai He, Winston H. Hsu:
GenISP: Neural ISP for Low-Light Machine Cognition. 629-638 - Yun Liu, Zhongsheng Yan, Aimin Wu, Tian Ye, Yuche Li:
Nighttime Image Dehazing Based on Variational Decomposition Model. 639-648 - Julian Wyatt, Adam Leach, Sebastian M. Schmon, Chris G. Willcocks:
AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise. 649-655 - Liangbin Xie, Xintao Wang, Honglun Zhang, Chao Dong, Ying Shan:
VFHQ: A High-Quality Dataset and Benchmark for Video Face Super-Resolution. 656-665 - Yangyi Dong, Xiaoyun Zhang, Zhixin Wang, Ya Zhang, Siheng Chen, Yanfeng Wang:
Unpaired Face Restoration via Learnable Cross-Quality Shift. 666-674 - Fevziye Irem Eyiokur, Dogucan Yaman, Hazim Kemal Ekenel, Alexander Waibel:
Exposure Correction Model to Enhance Image Quality. 675-685 - Loïc Dehan, Wiebe Van Ranst, Patrick Vandewalle, Toon Goedemé:
Complete and temporally consistent video outpainting. 686-694 - Dogucan Yaman, Hazim Kemal Ekenel, Alexander Waibel:
Alpha Matte Generation from Single Input for Portrait Matting. 695-704 - Hassan Imani, Md Baharul Islam, Lai-Kuan Wong:
A New Dataset and Transformer for Stereoscopic Video Super-Resolution. 705-714 - Lucia Cipolina-Kun, Simone Caenazzo, Gaston Mazzei:
Comparison of CoModGANs, LaMa and GLIDE for Art Inpainting Completing M.C Escher's Print Gallery. 715-723 - Issa Khalifeh, Marc Górriz Blanch, Ebroul Izquierdo, Marta Mrak:
Multi-encoder Network for Parameter Reduction of a Kernel-based Interpolation Architecture. 724-733 - Yingying Fang, Hao Zhang, Hok Shing Wong, Tieyong Zeng:
A robust non-blind deblurring method using deep denoiser prior. 734-743 - Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, Luc Van Gool:
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction. 744-754 - Mustafa Ayazoglu:
IMDeception: Grouped Information Distilling Super-Resolution Network. 755-764 - Fangyuan Kong, Mingxi Li, Songwei Liu, Ding Liu, Jingwen He, Yang Bai, Fangmin Chen, Lean Fu:
Residual Local Feature Network for Efficient Super-Resolution. 765-775 - Yan Wang:
Edge-enhanced Feature Distillation Network for Efficient Super-Resolution. 776-784 - Andreas Lugmayr, Martin Danelljan, Radu Timofte, Kang-Wook Kim, Younggeun Kim, Jae-Young Lee, Zechao Li, Jinshan Pan, Dongseok Shim, Ki-Ung Song, Jinhui Tang, Cong Wang, Zhihao Zhao:
NTIRE 2022 Challenge on Learning the Super-Resolution Space. 785-796 - Andrés Romero, Luc Van Gool, Radu Timofte:
Unpaired Real-World Super-Resolution with Pseudo Controllable Restoration. 797-806 - Daniel Wirzberger Raimundo, Andrey Ignatov, Radu Timofte:
LAN: Lightweight Attention-based Network for RAW-to-RGB Smartphone Image Processing. 807-815 - Li Wang, Dong Li, Lu Tian, Yi Shan:
Efficient Image Super-Resolution with Collapsible Linear Blocks. 816-822 - Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong:
A Lightweight Network for High Dynamic Range Imaging. 823-831 - Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Jinjin Gu, Yu Qiao, Chao Dong:
Blueprint Separable Residual Network for Efficient Image Super-Resolution. 832-842 - Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger:
DRHDR: A Dual branch Residual Network for Multi-Bracket High Dynamic Range Imaging. 843-851 - Zongcai Du, Ding Liu, Jie Liu, Jie Tang, Gangshan Wu, Lean Fu:
Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution. 852-861 - Boaz 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, 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, 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:
NTIRE 2022 Spectral Recovery Challenge and Data Set. 862-880 - Boaz 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:
NTIRE 2022 Spectral Demosaicing Challenge and Data Set. 881-895 - Zhihao Li, Si Yi, Zhan Ma:
Rendering Nighttime Image Via Cascaded Color and Brightness Compensation. 896-904 - Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Liangyu Chen, 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, 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:
NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results. 905-918 - Kai Jin, Zeqiang Wei, Angulia Yang, Sha Guo, Mingzhi Gao, Xiuzhuang Zhou, Guodong Guo:
SwiniPASSR: Swin Transformer based Parallax Attention Network for Stereo Image Super-Resolution. 919-928 - Wenbin Zou, Tian Ye, Weixin Zheng, Yunchen Zhang, Liang Chen, Yi Wu:
Self-Calibrated Efficient Transformer for Lightweight Super-Resolution. 929-938 - Marcos V. Conde, Maxime Burchi, Radu Timofte:
Conformer and Blind Noisy Students for Improved Image Quality Assessment. 939-949 - Jinjin 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, Sourya Dipta Das, Nisarg A. Shah, Anil Kumar Tiwari:
NTIRE 2022 Challenge on Perceptual Image Quality Assessment. 950-966 - Ki-Ung Song, Dongseok Shim, Kang-Wook Kim, Jae-Young Lee, Younggeun Kim:
FS-NCSR: Increasing Diversity of the Super-Resolution Space via Frequency Separation and Noise-Conditioned Normalizing Flow. 967-976 - Jiayin Cai, Changlin Li, Xin Tao, Yu-Wing Tai:
Image Multi-Inpainting via Progressive Generative Adversarial Networks. 977-986 - Kunal Swami, Amrit Muduli, Uttam Gurram, Pankaj Bajpai:
Do What You Can, With What You Have: Scale-aware and High Quality Monocular Depth Estimation Without Real World Labels. 987-996 - Ziwei Luo, Youwei Li, Shen Cheng, Lei Yu, Qi Wu, Zhihong Wen, Haoqiang Fan, Jian Sun, Shuaicheng Liu:
BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable Alignment. 997-1007 - Eduardo 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, 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, Sai Ma, 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:
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results. 1008-1022 - Meisong Zheng, Qunliang Xing, Minglang Qiao, Mai Xu, Lai Jiang, Huaida Liu, Ying Chen:
Progressive Training of A Two-Stage Framework for Video Restoration. 1023-1030 - Fangya Li, Ruipeng Gang, Chenghua Li, Jinjing Li, Sai Ma, Chenming Liu, Yizhen Cao:
Gamma-enhanced Spatial Attention Network for Efficient High Dynamic Range Imaging. 1031-1039 - Goutam 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, 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, 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:
NTIRE 2022 Burst Super-Resolution Challenge. 1040-1060 - Yawei 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, 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, 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, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang:
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. 1061-1101 - Jinsheng Fang, Hanjiang Lin, Xinyu Chen, Kun Zeng:
A Hybrid Network of CNN and Transformer for Lightweight Image Super-Resolution. 1102-1111 - Dan Yang, Mehmet Yamac:
Motion Aware Double Attention Network for Dynamic Scene Deblurring. 1112-1122 - Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang:
Efficient Progressive High Dynamic Range Image Restoration via Attention and Alignment Network. 1123-1130 - Mirko Agarla, Simone Bianco, Marco Buzzelli, Luigi Celona, Raimondo Schettini:
Fast-n-Squeeze: towards real-time spectral reconstruction from RGB images. 1131-1138 - Shanshan Lao, Yuan Gong, Shuwei Shi, Sidi Yang, Tianhe Wu, Jiahao Wang, Weihao Xia, Yujiu Yang:
Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Network. 1139-1148 - Andrés Romero, Angela Castillo, Jose Abril-Nova, Radu Timofte, Ritwik Das, Sanchit Hira, Zhihong Pan, 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, 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:
NTIRE 2022 Image Inpainting Challenge: Report. 1149-1181 - An Gia Vien, Seonghyun Park, Truong Thanh Nhat Mai, Gahyeon Kim, Chul Lee:
Bidirectional Motion Estimation with Cyclic Cost Volume for High Dynamic Range Imaging. 1182-1189 - Sidi Yang, Tianhe Wu, Shuwei Shi, Shanshan Lao, Yuan Gong, Mingdeng Cao, Jiahao Wang, Yujiu Yang:
MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment. 1190-1199 - Heng Cong, Lingzhi Fu, Rongyu Zhang, Yusheng Zhang, Hao Wang, Jiarong He, Jin Gao:
Image Quality Assessment with Gradient Siamese Network. 1200-1209 - Shuai Liu, Chaoyu Feng, Xiaotao Wang, Hao Wang, Ran Zhu, Yongqiang Li, Lei Lei:
Deep-FlexISP: A Three-Stage Framework for Night Photography Rendering. 1210-1219 - Ren 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, Dmitry Vyal, 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, 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:
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results. 1220-1237 - Xiaojie Chu, Liangyu Chen, Wenqing Yu:
NAFSSR: Stereo Image Super-Resolution Using NAFNet. 1238-1247 - Zhikai Zong, Lin Zha, Jiande Jiang, Xiaoxiao Liu:
Asymmetric Information Distillation Network for Lightweight Super Resolution. 1248-1257 - Jiaojiao Li, Songcheng Du, Chaoxiong Wu, Yihong Leng, Rui Song, Yunsong Li:
DRCR Net: Dense Residual Channel Re-calibration Network with Non-local Purification for Spectral Super Resolution. 1258-1267 - Jing Wang, Haotian Fan, Xiaoxia Hou, Yitian Xu, Tao Li, Xuechao Lu, Lean Fu:
MSTRIQ: No Reference Image Quality Assessment Based on Swin Transformer with Multi-Stage Fusion. 1268-1277 - Nancy Mehta, Akshay Dudhane, Subrahmanyam Murala, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan:
Adaptive Feature Consolidation Network for Burst Super-Resolution. 1278-1285 - Egor 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, 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:
NTIRE 2022 Challenge on Night Photography Rendering. 1286-1299 - Zeyu Lu, Junjun Jiang, Junqin Huang, Gang Wu, Xianming Liu:
GLaMa: Joint Spatial and Frequency Loss for General Image Inpainting. 1300-1309 - Roger Marí, Gabriele Facciolo, Thibaud Ehret:
Sat-NeRF: Learning Multi-View Satellite Photogrammetry With Transient Objects and Shadow Modeling Using RPC Cameras. 1310-1320 - Tejas Panambur, Deep Chakraborty, Melissa Meyer, Ralph Milliken, Erik G. Learned-Miller, Mario Parente:
Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain Images. 1321-1331 - Noah Johnson, Wayne Treible, Daniel E. Crispell:
OpenSentinelMap: A Large-Scale Land Use Dataset using OpenStreetMap and Sentinel-2 Imagery. 1332-1340 - Ekaterina Kalinicheva, Loïc Landrieu, Clément Mallet, Nesrine Chehata:
Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans. 1341-1350 - Hyeoncheol Noh, Jingi Ju, Minseok Seo, Jongchan Park, Dong-Geol Choi:
Unsupervised Change Detection Based on Image Reconstruction Loss. 1351-1360 - Codrut-Andrei Diaconu, Sudipan Saha, Stephan Günnemann, Xiao Xiang Zhu:
Understanding the Role of Weather Data for Earth Surface Forecasting using a ConvLSTM-based Model. 1361-1370 - Christel Chappuis, Valérie Zermatten, Sylvain Lobry, Bertrand Le Saux, Devis Tuia:
Prompt-RSVQA: Prompting visual context to a language model for Remote Sensing Visual Question Answering. 1371-1380 - Dimitri Gominski, Valérie Gouet-Brunet, Liming Chen:
Cross-dataset Learning for Generalizable Land Use Scene Classification. 1381-1390 - Joachim Nyborg, Charlotte Pelletier, Ira Assent:
Generalized Classification of Satellite Image Time Series with Thermal Positional Encoding. 1391-1401 - Gaétan Bahl, Mehdi Bahri, Florent Lafarge:
Single-Shot End-to-end Road Graph Extraction. 1402-1411 - Xingliang Huang, Libo Ren, Chenglong Liu, Yixuan Wang, Hongfeng Yu, Michael Schmitt, Ronny Hänsch, Xian Sun, Hai Huang, Helmut Mayer:
Urban Building Classification (UBC) - A Dataset for Individual Building Detection and Classification from Satellite Imagery. 1412-1420 - Linus Scheibenreif, Joëlle Hanna, Michael Mommert, Damian Borth:
Self-supervised Vision Transformers for Land-cover Segmentation and Classification. 1421-1430 - Farhood Negin, Mohsen Tabejamaat, Renaud Fraisse, François Brémond:
Transforming Temporal Embeddings to Keypoint Heatmaps for Detection of Tiny Vehicles in Wide Area Motion Imagery (WAMI) Sequences. 1431-1440 - Georgios Giannarakis, Vasileios Sitokonstantinou, Roxanne Suzette Lorilla, Charalampos Kontoes:
Towards assessing agricultural land suitability with causal machine learning. 1441-1451 - Nikolaos-Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail, Andreas Karavias, Panagiotis Elias, Isaak S. Parcharidis:
Hephaestus: A large scale multitask dataset towards InSAR understanding. 1452-1461 - Caleb Robinson, Anthony Ortiz, Hogeun Park, Nancy Lozano-Gracia, Jon Kher Kaw, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres:
Fast building segmentation from satellite imagery and few local labels. 1462-1470 - Ronny Hänsch, Jacob Arndt, Dalton D. Lunga, Matthew Gibb, Tyler Pedelose, Arnold P. Boedihardjo, Desiree Petrie, Todd M. Bacastow:
SpaceNet 8 - The Detection of Flooded Roads and Buildings. 1471-1479 - Jorge Gonzalez-Zapata, Iván Reyes-Amezcua, Daniel Flores-Araiza, Mauricio Mendez-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez:
Guided Deep Metric Learning. 1480-1488 - José A. Chávez:
Generative Flows as a General Purpose Solution for Inverse Problems. 1489-1497 - Alan Preciado-Grijalva, Bilal Wehbe, Miguel Bande Firvida, Matias Valdenegro-Toro:
Self-supervised Learning for Sonar Image Classification. 1498-1507 - Matias Valdenegro-Toro, Daniel Saromo Mori:
A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement. 1508-1516 - Stev H. Ramos, Joel Cabrera, Daniel Ibáñez, Alejandro B. Jiménez-Panta, César Beltrán Castañón, Edwin Villanueva:
Unpaired Faces to Cartoons: Improving XGAN. 1517-1526 - Keren Ye, Adriana Kovashka:
Weakly-Supervised Action Detection Guided by Audio Narration. 1527-1537 - Marouane Tliba, Mohamed Amine Kerkouri, Aladine Chetouani, Alessandro Bruno:
Self Supervised Scanpath Prediction Framework for Painting Images. 1538-1547 - Xiaowei Chen, Guoliang Fan:
Egocentric Indoor Localization from Coplanar Two-Line Room Layouts. 1548-1558 - Leonard Bärmann, Alex Waibel:
Where did I leave my keys? - Episodic-Memory-Based Question Answering on Egocentric Videos. 1559-1567 - Torben Teepe, Johannes Gilg, Fabian Herzog, Stefan Hörmann, Gerhard Rigoll:
Towards a Deeper Understanding of Skeleton-based Gait Recognition. 1568-1576 - Fadi Boutros, Naser Damer, Florian Kirchbuchner, Arjan Kuijper:
ElasticFace: Elastic Margin Loss for Deep Face Recognition. 1577-1586 - Ketan Kotwal, Sébastien Marcel:
Residual Feature Pyramid Network for Enhancement of Vascular Patterns. 1587-1594 - Domingo Mery:
True Black-Box Explanation in Facial Analysis. 1595-1604 - Naser Damer, César Augusto Fontanillo López, Meiling Fang, Noémie Spiller, Minh Vu Pham, Fadi Boutros:
Privacy-friendly Synthetic Data for the Development of Face Morphing Attack Detectors. 1605-1616 - Wes Robbins, Terrance E. Boult:
On the Effect of Atmospheric Turbulence in the Feature Space of Deep Face Recognition. 1617-1625 - Halil Ibrahim Öztürk, Berkay Selbes, Yusuf Artan:
MinNet: Minutia Patch Embedding Network for Automated Latent Fingerprint Recognition. 1626-1634 - Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Noel E. O'Connor, Kevin McGuinness:
Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation. 1635-1645 - Luhan Wang, Lihua Zheng, Minjuan Wang:
3D Point Cloud Instance Segmentation of Lettuce Based on PartNet. 1646-1654 - Antonio Tavera, Edoardo Arnaudo, Carlo Masone, Barbara Caputo:
Augmentation Invariance and Adaptive Sampling in Semantic Segmentation of Agricultural Aerial Images. 1655-1664 - Si Yang, Lihua Zheng, Xieyuanli Chen, Laura Zabawa, Man Zhang, Minjuan Wang:
Transfer Learning from Synthetic In-vitro Soybean Pods Dataset for In-situ Segmentation of On-branch Soybean Pods. 1665-1674 - Enyu Cai, Zhankun Luo, Sriram Baireddy, Jiaqi Guo, Changye Yang, Edward J. Delp:
High-Resolution UAV Image Generation for Sorghum Panicle Detection. 1675-1684 - Thomas A. Ciarfuglia, Ionut Marian Motoi, Leonardo Saraceni, Daniele Nardi:
Pseudo-label Generation for Agricultural Robotics Applications. 1685-1693 - Nana Yang, Victor Joos, A. L. Jacquemart, Christel Buyens, Christophe De Vleeschouwer:
Using Pure Pollen Species When Training a CNN to Segment Pollen Mixtures. 1694-1703 - Yao Shen, Lei Wang, Yue Jin:
AAFormer: A Multi-Modal Transformer Network for Aerial Agricultural Images. 1704-1710 - Jing Wu, Ran Tao, Pan Zhao, Nicolas F. Martin, Naira Hovakimyan:
Optimizing Nitrogen Management with Deep Reinforcement Learning and Crop Simulations. 1711-1719 - Abhishek Kumar Sinha, S. Manthira Moorthi, Debajyoti Dhar:
Self-Supervised Variable Rate Image Compression using Visual Attention. 1720-1724 - Saikat Dutta, Arulkumar Subramaniam, Anurag Mittal:
Non-linear Motion Estimation for Video Frame Interpolation using Space-time Convolutions. 1725-1730 - Jonas Löhdefink, Jonas Sitzmann, Andreas Bär, Tim Fingscheidt:
Adaptive Bitrate Quantization Scheme Without Codebook for Learned Image Compression. 1731-1736 - Anna Volokitin, Stefan Brugger, Ali Benlalah, Sebastian Martin, Brian Amberg, Michael Tschannen:
Neural Face Video Compression using Multiple Views. 1737-1741 - Zhaocheng Liu, Luis Herranz, Fei Yang, Saiping Zhang, Shuai Wan, Marta Mrak, Marc Górriz Blanch:
Slimmable Video Codec. 1742-1746 - Elizabeth K. Cole, Qingxi Meng, John M. Pauly, Shreyas Vasanawala:
Learned Compression of High Dimensional Image Datasets. 1747-1751 - Rushil Gupta, Suryateja BV, Nikhil Kapoor, Rajat Jaiswal, Sharmila Nangi, Kuldeep Kulkarni:
User-Guided Variable Rate Learned Image Compression. 1752-1757 - Fabian Brand, Kristian Fischer, Alexander Kopte, Marc Windsheimer, André Kaup:
RDONet: Rate-Distortion Optimized Learned Image Compression with Variable Depth. 1758-1762 - Dailan He, Ziming Yang, Hongjiu Yu, Tongda Xu, Jixiang Luo, Yuan Chen, Chenjian Gao, Xinjie Shi, Hongwei Qin, Yan Wang:
PO-ELIC: Perception-Oriented Efficient Learned Image Coding. 1763-1768 - Huairui Wang, Guangjie Ren, Tong Ouyang, Junxi Zhang, Wenwei Han, Zizheng Liu, Zhenzhong Chen:
Perceptual in-Loop Filter for Image and Video Compression. 1769-1772 - Yonghua Wang, Jingchi Zhang, Zhengang Li, Xing Zeng, Zhen Zhang, Diankai Zhang, Yunlin Long, Ning Wang:
Neural Network-based In-Loop Filter for CLIC 2022. 1773-1776 - Hyun Min Cho, Kiho Choi:
Super-Resolution based Video Coding Scheme. 1777-1779 - Junru Li, Yue Li, Chaoyi Lin, Kai Zhang, Li Zhang:
A Neural-network Enhanced Video Coding Framework beyond VVC. 1780-1784 - Jiayu Yang, Chunhui Yang, Fei Xiong, Feng Wang, Ronggang Wang:
Learned Low Bitrate Video Compression with Space-Time Super-Resolution. 1785-1789 - Gang He, Kepeng Xu, Chang Wu, Zijia Ma, Xing Wen, Ming Sun:
Hybrid video coding scheme based on VVC and spatio-temporal attention convolution neural network. 1790-1793 - Jianzhao Liu, Xin Li, Yanding Peng, Tao Yu, Zhibo Chen:
SwinIQA: Learned Swin Distance for Compressed Image Quality Assessment. 1794-1798 - Gang He, Yong Wang, Li Xu, Wenli Zhang, Ming Sun, Xing Wen:
Focused Feature Differentiation Network for Image Quality Assessment. 1799-1803 - Wei Jiang, Litian Li, Yi Ma, Yongqi Zhai, Zheng Yang, Ronggang Wang:
Image Quality Assessment with Transformers and Multi-Metric Fusion Modules. 1804-1808 - Liangwei Yu, Zhao Wang, Yan Ye, Lingyu Zhu, Shiqi Wang:
A Soft-ranked Index Fusion Framework with Saliency Weighting for Image Quality Assessment. 1809-1813 - Shengjie Liu, Chuang Zhu, Feng Xu, Xinyu Jia, Zhongyue Shi, Mulan Jin:
BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix. 1814-1823 - Jacqueline Kockwelp, Sebastian Thiele, Pascal Kockwelp, Jannis Bartsch, Christoph Schliemann, Linus Angenendt, Benjamin Risse:
Cell Selection-based Data Reduction Pipeline for Whole Slide Image Analysis of Acute Myeloid Leukemia. 1824-1833 - Chaitanya Dwivedi, Shima Nofallah, Maryam Pouryahya, Janani Iyer, Kenneth Leidal, Chuhan Chung, Timothy Watkins, Andrew Billin, Robert Myers, John Abel, Ali Behrooz:
Multi stain graph fusion for multimodal integration in pathology. 1834-1844 - Tim-Oliver Buchholz, Florian Jug:
Fourier Image Transformer. 1845-1853 - Tatsuhiko Sugimoto, Hiroaki Ito, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise:
Multi-Class Cell Detection Using Modified Self-Attention. 1854-1862 - Yunheng Wu, Masahiro Oda, Yuichiro Hayashi, Takanori Takebe, Shogo Nagata, Cheng Wang, Kensaku Mori:
Blood Vessel Segmentation from Low-Contrast and Wide-Field Optical Microscopic Images of Cranial Window by Attention-Gate-Based Network. 1863-1872 - Hongqing Han, Mariia Dmitrieva, Alexander Sauer, Ka Ho Tam, Jens Rittscher:
Self-Supervised Voxel-Level Representation Rediscovers Subcellular Structures in Volume Electron Microscopy. 1873-1882 - Liming Wu, Alain Chen, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
An Ensemble Learning and Slice Fusion Strategy for Three-Dimensional Nuclei Instance Segmentation. 1883-1893 - Zipeng Fu, Ashish Kumar, Ananye Agarwal, Haozhi Qi, Jitendra Malik, Deepak Pathak:
Coupling Vision and Proprioception for Navigation of Legged Robots. 1894-1904 - Antyanta Bangunharcana, Soohyun Kim, Kyung-Soo Kim:
Revisiting the Receptive Field of Conv-GRU in DROID-SLAM. 1905-1915 - Gaowen Liu, Hugo Latapie, Özkan Kiliç, Adam Lawrence:
Parallel Generative Adversarial Network for Third-person to First-person Image Generation. 1916-1922 - Kaiwen Liu, Jin Gao, Haowei Liu, Liang Li, Bing Li, Weiming Hu:
Exploring Motion Information for Distractor Suppression in Visual Tracking. 1923-1931 - Chuanjian Liu, Kai Han, An Xiao, Ying Nie, Wei Zhang, Yunhe Wang:
Network Amplification with Efficient MACs Allocation. 1932-1941 - Wenshuo Li, Xinghao Chen, Jinyu Bai, Xuefei Ning, Yunhe Wang:
Searching for Energy-Efficient Hybrid Adder-Convolution Neural Networks. 1942-1951 - Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel:
Less is More: Proxy Datasets in NAS approaches. 1952-1960 - Rob Geada, Andrew Stephen McGough:
SpiderNet: Hybrid Differentiable-Evolutionary Architecture Search via Train-Free Metrics. 1961-1969 - Lotte Hendrickx, Wiebe Van Ranst, Toon Goedemé:
Hot-started NAS for Task-specific Embedded Applications. 1970-1977 - Kepeng Xu, Gang He:
DNAS: A Decoupled Global Neural Architecture Search Method. 1978-1984 - Sarah Schneider, Doris Antensteiner, Daniel Soukup, Matthias Scheutz:
Autoencoders - A Comparative Analysis in the Realm of Anomaly Detection. 1985-1991 - Mengyuan Zhang, Kai Liu:
Enriched Robust Multi-View Kernel Subspace Clustering. 1992-2001 - Ranya Almohsen, Matthew R. Keaton, Donald A. Adjeroh, Gianfranco Doretto:
Generative Probabilistic Novelty Detection with Isometric Adversarial Autoencoders. 2002-2012 - Liana Baghdasaryan, Razmik Melikbekyan, Arthur Dolmajain, Jennifer A. Hobbs:
Deep density estimation based on multi-spectral remote sensing data for in-field crop yield forecasting. 2013-2022 - Sonam Gupta, Arti Keshari, Sukhendu Das:
RV-GAN: Recurrent GAN for Unconditional Video Generation. 2023-2032 - Maxine Perroni-Scharf, Kalyan Sunkavalli, Jonathan Eisenmann, Yannick Hold-Geoffroy:
Material Swapping for 3D Scenes using a Learnt Material Similarity Measure. 2033-2042 - Asra Aslam:
Detecting Objects in Less Response Time for Processing Multimedia Events in Smart Cities. 2043-2053 - Changchen Zhao, Pengcheng Cao, Shoushuai Xu, Zhengguo Li, Yuanjing Feng:
Pruning rPPG Networks: Toward Small Dense Network with Limited Number of Training Samples. 2054-2063 - Momal Ijaz, Renato Diaz, Chen Chen:
Multimodal Transformer for Nursing Activity Recognition. 2064-2073 - Kunyu Peng, Alina Roitberg, Kailun Yang, Jiaming Zhang, Rainer Stiefelhagen:
Should I take a walk? Estimating Energy Expenditure from Video Data. 2074-2084 - Jeremy Speth, Nathan Vance, Patrick J. Flynn, Kevin W. Bowyer, Adam Czajka:
Remote Pulse Estimation in the Presence of Face Masks. 2085-2094 - Jing Zhang, Tao Wen, Tao He, Xiangzhou Wang, Ruqian Hao, Juanxiu Liu, Xiaohui Du, Lin Liu:
Human Stools Classification for Gastrointestinal Health based on an Improved ResNet18 Model with Dual Attention Mechanism. 2095-2102 - Taeckyung Lee, Dain Kim, Sooyoung Park, Dongwhi Kim, Sung-Ju Lee:
Predicting Mind-Wandering with Facial Videos in Online Lectures. 2103-2112 - Rina Akaho, Mototaka Yoshioka:
Strain Detection based on Breath and Motion Features Obtained by a Force Sensor for Smart Toilet Systems. 2113-2120 - Haoyuan Gao, Xiaopei Wu, Jidong Geng, Yang Lv:
Remote Heart Rate Estimation by Signal Quality Attention Network. 2121-2128 - Bing-Fei Wu, Li-Wen Chiu, Yi-Chiao Wu, Chun-Chih Lai, Pao-Hsien Chu:
Contactless Blood Pressure Measurement via Remote Photoplethysmography with Synthetic Data Generation Using Generative Adversarial Network. 2129-2137 - Kaito Iuchi, Ryogo Miyazaki, George C. Cardoso, Keiko Ogawa-Ochiai, Norimichi Tsumura:
Remote Estimation of Continuous Blood Pressure by a Convolutional Neural Network Trained on Spatial Patterns of Facial Pulse Waves. 2138-2144 - Deivid Botina-Monsalve, Yannick Benezeth, Johel Mitéran:
RTrPPG: An Ultra Light 3DCNN for Real-Time Remote Photoplethysmography. 2145-2153 - Xin Liu, Mingchuan Zhang, Ziheng Jiang, Shwetak N. Patel, Daniel McDuff:
Federated Remote Physiological Measurement with Imperfect Data. 2154-2163 - Kwan Long Wong, Jing Wei Chin, Tsz Tai Chan, Ismoil Odinaev, Kristian Suhartono, Kang Tianqu, Richard Hau Yue So:
Optimising rPPG Signal Extraction by Exploiting Facial Surface Orientation. 2164-2170 - Fabian Schrumpf, Paul Rudi Serdack, Mirco Fuchs:
Regression or Classification? Reflection on BP prediction from PPG data using Deep Neural Networks in the scope of practical applications. 2171-2180 - Joaquim Comas, Adria Ruiz, Federico Sukno:
Efficient Remote Photoplethysmography with Temporal Derivative Modules and Time-Shift Invariant Loss. 2181-2190 - Benjamin Kossack, Eric L. Wisotzky, Peter Eisert, Sebastian P. Schraven, Brigitta Globke, Anna Hilsmann:
Perfusion assessment via local remote photoplethysmography (rPPG). 2191-2200 - Rita Meziati Sabour, Yannick Benezeth:
Gated Recurrent Unit-Based RNN for Remote Photoplethysmography Signal Segmentation. 2201-2209 - Kamil Bukum, Celal Savur, Gill R. Tsouri:
Deep Learning Classifier for Advancing Video Monitoring of Atrial Fibrillation. 2210-2218 - Xiao Han, Sen He, Li Zhang, Yi-Zhe Song, Tao Xiang:
UIGR: Unified Interactive Garment Retrieval. 2219-2224 - Boyi Li, Serge J. Belongie, Ser-Nam Lim, Abe Davis:
Neural Image Recolorization for Creative Domains. 2225-2229 - Davide Morelli, Matteo Fincato, Marcella Cornia, Federico Landi, Fabio Cesari, Rita Cucchiara:
Dress Code: High-Resolution Multi-Category Virtual Try-On. 2230-2234 - Sangho Lee, Seoyoung Lee, Joonseok Lee:
Towards Detailed Characteristic-Preserving Virtual Try-On. 2235-2239 - Geri Skenderi, Christian Joppi, Matteo Denitto, Berniero Scarpa, Marco Cristani:
The multi-modal universe of fast-fashion: the Visuelle 2.0 benchmark. 2240-2245 - Emanuele Fenocchi, Davide Morelli, Marcella Cornia, Lorenzo Baraldi, Fabio Cesari, Rita Cucchiara:
Dual-Branch Collaborative Transformer for Virtual Try-On. 2246-2250 - Alexandre Ramé, Arthur Douillard, Charles Ollion:
CoRe: Color Regression for Multicolor Fashion Garments. 2251-2256 - Kuan-Wei Tseng, Yao-Chih Lee, Chu-Song Chen:
Artistic Style Novel View Synthesis Based on A Single Image. 2257-2261 - Rohan Sarkar, Navaneeth Bodla, Mariya I. Vasileva, Yen-Liang Lin, Anurag Beniwal, Alan Lu, Gerard Medioni:
OutfitTransformer: Outfit Representations for Fashion Recommendation. 2262-2266 - Gyunpyo Lee, Taesu Kim, Hyeon-Jeong Suk:
GP22: A Car Styling Dataset for Automotive Designers. 2267-2271 - Maryam Moosaei, Yusan Lin, Ablaikhan Akhazhanov, Huiyuan Chen, Fei Wang, Hao Yang:
OutfitGAN: Learning Compatible Items for Generative Fashion Outfits. 2272-2276 - George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu:
Wearable ImageNet: Synthesizing Tileable Textures via Dataset Distillation. 2277-2281 - Gaurab Bhattacharya, Nikhil Kilari, Jayavardhana Gubbi, Bagya Lakshmi V, Arpan Pal, Balamuralidhar P:
DAtRNet: Disentangling Fashion Attribute Embedding for Substitute Item Retrieval. 2282-2286 - Berkay Doner, Elif Sema Balcioglu, Merve Rabia Barin, Umut Kocasari, Mert Tiftikci, Pinar Yanardag:
PaintInStyle: One-Shot Discovery of Interpretable Directions by Painting. 2287-2292 - Umut Kocasari, Kerem Zaman, Mert Tiftikci, Enis Simsar, Pinar Yanardag:
Rank in Style: A Ranking-based Approach to Find Interpretable Directions. 2293-2297 - Gyeongsik Moon, Hongsuk Choi, Kyoung Mu Lee:
NeuralAnnot: Neural Annotator for 3D Human Mesh Training Sets. 2298-2306 - Gyeongsik Moon, Hongsuk Choi, Kyoung Mu Lee:
Accurate 3D Hand Pose Estimation for Whole-Body 3D Human Mesh Estimation. 2307-2316 - Zhe Wang, Jimei Yang, Charless C. Fowlkes:
The Best of Both Worlds: Combining Model-based and Nonparametric Approaches for 3D Human Body Estimation. 2317-2326 - Dimitrios Kollias:
ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challenges. 2327-2335 - Wenqiang Jiang, Yannan Wu, Fengsheng Qiao, Liyu Meng, Yuanyuan Deng, Chuanhe Liu:
Model Level Ensemble for Facial Action Unit Recognition at the 3rd ABAW Challenge. 2336-2343 - Liyu Meng, Yuchen Liu, Xiaolong Liu, Zhaopei Huang, Wenqiang Jiang, Tenggan Zhang, Chuanhe Liu, Qin Jin:
Valence and Arousal Estimation based on Multimodal Temporal-Aware Features for Videos in the Wild. 2344-2351 - Jae-Yeop Jeong, Yeong-Gi Hong, Daun Kim, Jin-Woo Jeong, Yuchul Jung, Sang-Ho Kim:
Classification of Facial Expression In-the-Wild based on Ensemble of Multi-head Cross Attention Networks. 2352-2357 - Andrey V. Savchenko:
Video-based Frame-level Facial Analysis of Affective Behavior on Mobile Devices using EfficientNets. 2358-2365 - Andreas Psaroudakis, Dimitrios Kollias:
MixAugment & Mixup: Augmentation Methods for Facial Expression Recognition. 2366-2374 - Su Zhang, Ruyi An, Yi Ding, Cuntai Guan:
Continuous Emotion Recognition using Visual-audio-linguistic Information: A Technical Report for ABAW3. 2375-2380 - Vincent Karas, Mani Kumar Tellamekala, Adria Mallol-Ragolta, Michel F. Valstar, Björn W. Schuller:
Time-Continuous Audiovisual Fusion with Recurrence vs Attention for In-The-Wild Affect Recognition. 2381-2390 - Didan Deng, Bertram E. Shi:
Estimating Multiple Emotion Descriptors by Separating Description and Inference. 2391-2399 - Derek Stratton, Emily M. Hand:
Bridging the Gap Between Automated and Human Facial Emotion Perception. 2400-2410 - Fanglei Xue, Zichang Tan, Yu Zhu, Zhongsong Ma, Guodong Guo:
Coarse-to-Fine Cascaded Networks with Smooth Predicting for Video Facial Expression Recognition. 2411-2417 - Siyuan Brandon Loh, Debaditya Roy, Basura Fernando:
Long-term Action Forecasting Using Multi-headed Attention-based Variational Recurrent Neural Networks. 2418-2426 - Wei Zhang, Feng Qiu, Suzhen Wang, Hao Zeng, Zhimeng Zhang, Rudong An, Bowen Ma, Yu Ding:
Transformer-based Multimodal Information Fusion for Facial Expression Analysis. 2427-2436 - Euiseok Jeong, Geesung Oh, Sejoon Lim:
Multi-task Learning for Human Affect Prediction with Auditory-Visual Synchronized Representation. 2437-2444 - Srijith Radhakrishnan, Nikhil C. Mohan, Manisimha Varma, Jaithra Varma, Smitha N. Pai:
Cross Transferring Activity Recognition to Word Level Sign Language Detection. 2445-2452 - Duy Le Hoai, Eunchae Lim, Eunbin Choi, Sieun Kim, Sudarshan Pant, Guee-Sang Lee, Soo-Hyung Kim, Hyung-Jeong Yang:
An Attention-based Method for Multi-label Facial Action Unit Detection. 2453-2458 - Yassine Ouzar, Frédéric Bousefsaf, Djamaleddine Djeldjli, Choubeila Maaoui:
Video-based multimodal spontaneous emotion recognition using facial expressions and physiological signals. 2459-2468 - Lingfeng Wang, Jin Qi, Jian Cheng, Kenji Suzuki:
Action unit detection by exploiting spatial-temporal and label-wise attention with transformer. 2469-2474 - Ankith Jain Rakesh Kumar, Bir Bhanu:
Three Stream Graph Attention Network using Dynamic Patch Selection for the classification of micro-expressions. 2475-2484 - R. 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:
A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition. 2485-2494 - Saimourya Surabhi, Bhavik Shah, Peter Washington, Onur Cezmi Mutlu, Émilie Leblanc, Prathamesh Mohite, Arman Husic, Aaron Kline, Kaitlyn Dunlap, Maya McNealis, Bennett Liu, Nick Deveaux, Essam Sleiman, Dennis P. Wall:
TikTok for good: Creating a diverse emotion expression database. 2495-2505 - Kim Ngan Phan, Hong Hai Nguyen, Van Thong Huynh, Soo-Hyung Kim:
Facial Expression Classification using Fusion of Deep Neural Network in Video. 2506-2510 - Hong Hai Nguyen, Van Thong Huynh, Soo-Hyung Kim:
An Ensemble Approach for Facial Behavior Analysis in-the-wild Video. 2511-2516 - Luigi Filippo Chiara, Pasquale Coscia, Sourav Das, Simone Calderara, Rita Cucchiara, Lamberto Ballan:
Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction. 2517-2526 - Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran:
Persistent-Transient Duality in Human Behavior Modeling. 2527-2530 - Christopher Hazard, Akshay Bhagat, Balarama Raju Buddharaju, Zhongtao Liu, Yunming Shao, Lu Lu, Sammy Omari, Henggang Cui:
Importance is in your attention: agent importance prediction for autonomous driving. 2531-2534 - Yu-Wen Chen, Hsuan-Kung Yang, Chu-Chi Chiu, Chun-Yi Lee:
S2F2: Single-Stage Flow Forecasting for Future Multiple Trajectories Prediction. 2535-2538 - Omar Medjaouri, Kevin Desai:
HR-STAN: High-Resolution Spatio-Temporal Attention Network for 3D Human Motion Prediction. 2539-2548 - Sunah Min, Jinyoung Moon:
Information Elevation Network for Online Action Detection and Anticipation. 2549-2557 - Colin Graber, Cyril Jazra, Wenjie Luo, Liangyan Gui, Alexander G. Schwing:
Joint Forecasting of Panoptic Segmentations with Difference Attention. 2558-2567 - Pha A. Nguyen, Kha Gia Quach, Chi Nhan Duong, Ngan Le, Xuan-Bac Nguyen, Khoa Luu:
Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles. 2568-2577 - Parneet Kaur, Arslan Aziz, Darshan Jain, Harshil Patel, Jonathan Hirokawa, Lachlan Townsend, Christoph Reimers, Fiona Hua:
Sea Situational Awareness (SeaSAw) Dataset. 2578-2586 - Changjie Lu, Shen Zheng, Gaurav Gupta:
Unsupervised Domain Adaptation for Cardiac Segmentation: Towards Structure Mutual Information Maximization. 2587-2596 - Florinel-Alin Croitoru, Diana-Nicoleta Grigore, Radu Tudor Ionescu:
Discriminability-enforcing loss to improve representation learning. 2597-2601 - Feng Liang, Ting-Wu Chin, Yang Zhou, Diana Marculescu:
ANT: Adapt Network Across Time for Efficient Video Processing. 2602-2607 - Wenyu Sun, Jian Cao, Pengtao Xu, Xiangcheng Liu, Yuan Zhang, Yuan Wang:
An Once-for-All Budgeted Pruning Framework for ConvNets Considering Input Resolution. 2608-2617 - Li Yang, Adnan Siraj Rakin, Deliang Fan:
DA3: Dynamic Additive Attention Adaption for Memory-Efficient On-Device Multi-Domain Learning. 2618-2626 - Dushyant Mehta, Andrii Skliar, Haitam Ben Yahia, Shubhankar Borse, Fatih Porikli, Amirhossein Habibian, Tijmen Blankevoort:
Simple and Efficient Architectures for Semantic Segmentation. 2627-2635 - Debapriya Maji, Soyeb Nagori, Manu Mathew, Deepak Poddar:
YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss. 2636-2645 - Siyuan Pan, Yiming Qin, Tingyao Li, Xiaoshuang Li, Liang Hou:
Momentum Contrastive Pruning. 2646-2655 - Miran Heo, Sukjun Hwang, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim:
Integrating Pose and Mask Predictions for Multi-person in Videos. 2656-2665 - Berkin Akin, Suyog Gupta, Yun Long, Anton Spiridonov, Zhuo Wang, Marie White, Hao Xu, Ping Zhou, Yanqi Zhou:
Searching for Efficient Neural Architectures for On-Device ML on Edge TPUs. 2666-2675 - Alberto Sabater, Luis Montesano, Ana C. Murillo:
Event Transformer. A sparse-aware solution for efficient event data processing. 2676-2685 - Xiaowen Jiang, Valerio Cambareri, Gianluca Agresti, Cynthia Ifeyinwa Ugwu, Adriano Simonetto, Fabien Cardinaux, Pietro Zanuttigh:
A Low Memory Footprint Quantized Neural Network for Depth Completion of Very Sparse Time-of-Flight Depth Maps. 2686-2695 - Rémy Sun, Alexandre Ramé, Clément Masson, Nicolas Thome, Matthieu Cord:
Towards efficient feature sharing in MIMO architectures. 2696-2700 - Sulaiman Sadiq, Jonathon S. Hare, Partha Maji, Simon Craske, Geoff V. Merrett:
TinyOps: ImageNet Scale Deep Learning on Microcontrollers. 2701-2705 - Anguelos Nicolaou, Vincent Christlein, Edgar Riba, Jian Shi, Georg Vogeler, Mathias Seuret:
TorMentor: Deterministic dynamic-path, data augmentations with fractals. 2706-2710 - Younghyun Park, Soyeong Kim, Wonjeong Choi, Dong-Jun Han, Jaekyun Moon:
Active Object Detection with Epistemic Uncertainty and Hierarchical Information Aggregation. 2711-2715 - Krishna Wadhwani, Tamaki Kojima:
SqueezeNeRF: Further factorized FastNeRF for memory-efficient inference. 2716-2724 - Meng Ye, Xiao Lin, Giedrius Burachas, Ajay Divakaran, Yi Yao:
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning. 2725-2734 - Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Haibin Lin, Zhi Zhang, Yue Sun, Tong He, Jonas Mueller, R. Manmatha, Mu Li, Alexander J. Smola:
ResNeSt: Split-Attention Networks. 2735-2745 - Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee:
MAPLE: Microprocessor A Priori for Latency Estimation. 2746-2755 - Mart van Baalen, Brian Kahne, Eric Mahurin, Andrey Kuzmin, Andrii Skliar, Markus Nagel, Tijmen Blankevoort:
Simulated Quantization, Real Power Savings. 2756-2760 - Suraj Srinivas, Andrey Kuzmin, Markus Nagel, Mart van Baalen, Andrii Skliar, Tijmen Blankevoort:
Cyclical Pruning for Sparse Neural Networks. 2761-2770 - Donggyu Joo, Doyeon Kim, Eojindl Yi, Junmo Kim:
Linear Combination Approximation of Feature for Channel Pruning. 2771-2780 - Guocheng Qian, Xuanyang Zhang, Guohao Li, Chen Zhao, Yukang Chen, Xiangyu Zhang, Bernard Ghanem, Jian Sun:
When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search. 2781-2786 - Thibault Allenet, David Briand, Olivier Bichler, Olivier Sentieys:
Disentangled Loss for Low-Bit Quantization-Aware Training. 2787-2791 - Lulan Shen, Maryam Ziaeefard, Brett H. Meyer, Warren J. Gross, James J. Clark:
Conjugate Adder Net (CAddNet) - a Space-Efficient Approximate CNN. 2792-2796 - Ákos Utasi:
PEA: Improving the Performance of ReLU Networks for Free by Using Progressive Ensemble Activations. 2797-2805 - Bojana Gajic, Ariel Amato, Ramon Baldrich, Joost van de Weijer, Carlo Gatta:
Area Under the ROC Curve Maximization for Metric Learning. 2806-2815 - Zejiang Hou, Sun-Yuan Kung:
Semi-Supervised Few-Shot Learning from A Dependency-Discriminant Perspective. 2816-2824 - Sumit Shekhar, Bhanu Prakash Reddy Guda, Ashutosh Chaubey, Ishan Jindal, Avneet Jain:
OPAD: An Optimized Policy-based Active Learning Framework for Document Content Analysis. 2825-2835 - Matteo Guarrera, Baihong Jin, Tung-Wei Lin, Maria A. Zuluaga, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli:
Class-wise Thresholding for Robust Out-of-Distribution Detection. 2836-2845 - Brandon Richard Webster, Brian Hu, Keith Fieldhouse, Anthony Hoogs:
Doppelgänger Saliency: Towards More Ethical Person Re-Identification. 2846-2856 - Kartik Narayan, Harsh Agarwal, Surbhi Mittal, Kartik Thakral, Suman Kundu, Mayank Vatsa, Richa Singh:
DeSI: Deepfake Source Identifier for Social Media. 2857-2866 - Moslem Yazdanpanah, Parham Moradi:
Visual Domain Bridge: A source-free domain adaptation for cross-domain few-shot learning. 2867-2876 - Tanveer Hussain, Abbas Anwar, Saeed Anwar, Lars Petersson, Sung Wook Baik:
Pyramidal Attention for Saliency Detection. 2877-2887 - Svetlana Pavlitskaya, Siyar Yikmis, J. Marius Zöllner:
Is Neuron Coverage Needed to Make Person Detection More Robust? 2888-2896 - Rebecca S. Stone, Nishant Ravikumar, Andrew J. Bulpitt, David C. Hogg:
Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation. 2897-2904 - Han Xu, Abhijit Sarkar, A. Lynn Abbott:
Color Invariant Skin Segmentation. 2905-2914 - Miao Zhang, Harvineet Singh, Lazarus Chok, Rumi Chunara:
Segmenting across places: The need for fair transfer learning with satellite imagery. 2915-2924 - Hera Siddiqui, Ajita Rattani, Karl Ricanek, Twyla J. Hill:
An Examination of Bias of Facial Analysis based BMI Prediction Models. 2925-2934 - Amil Dravid, Florian Schiffers, Boqing Gong, Aggelos K. Katsaggelos:
medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space. 2935-2944 - Zixuan Huang, Yunfeng Wang, Zhiwen Chen, Xin Gao, Ruili Feng, Xiaobo Li:
Context Attention Network for Skeleton Extraction. 2945-2950 - Sheng Fang, Kaiyu Li, Zhe Li:
CAMION: Cascade Multi-input Multi-output Network for Skeleton Extraction. 2951-2956 - Himanshu Arora, Saurabh Mishra, Shichong Peng, Ke Li, Ali Mahdavi-Amiri:
Multimodal Shape Completion via Implicit Maximum Likelihood Estimation. 2957-2966 - Rolandos Alexandros Potamias, Alexandros Neofytou, Kyriaki-Margarita Bintsi, Stefanos Zafeiriou:
GraphWalks: Efficient Shape Agnostic Geodesic Shortest Path Estimation. 2967-2976 - Tejas Anvekar, Ramesh Ashok Tabib, Dikshit Hegde, Uma Mudengudi:
VG-VAE: A Venatus Geometry Point-Cloud Variational Auto-Encoder. 2977-2984 - Mateusz Majcher, Bogdan Kwolek:
Shape Enhanced Keypoints Learning with Geometric Prior for 6D Object Pose Tracking. 2985-2991 - Stefan Druc, Aditya Balu, Peter Wooldridge, Adarsh Krishnamurthy, Soumik Sarkar:
Concept Activation Vectors for Generating User-Defined 3D Shapes. 2992-2999 - Muhammad Jehanzeb Mirza, Marc Masana, Horst Possegger, Horst Bischof:
An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions. 3000-3010 - Tamir Einy, Efrat Immer, Gilad Vered, Shai Avidan:
Physics Based Image Deshadowing Using Local Linear Model. 3011-3019 - Oriel Frigo, Lucien Martin-Gaffé, Catherine Wacongne:
DooDLeNet: Double DeepLab Enhanced Feature Fusion for Thermal-color Semantic Segmentation. 3020-3028 - Aboli Marathe, Pushkar Jain, Rahee Walambe, Ketan Kotecha:
RestoreX-AI: A Contrastive Approach towards Guiding Image Restoration via Explainable AI Systems. 3029-3038 - Chenyang Lei, Xuhua Huang, Chenyang Qi, Yankun Zhao, Wenxiu Sun, Qiong Yan, Qifeng Chen:
A Categorized Reflection Removal Dataset with Diverse Real-world Scenes. 3039-3047 - Fausto Tapia Benavides, Andrey Ignatov, Radu Timofte:
PhoneDepth: A Dataset for Monocular Depth Estimation on Mobile Devices. 3048-3055 - Zhicheng Fu, Miao Song, Chao Ma, Joe Nasti, Vivek Tyagi, Grant Lloyd, Wei Tang:
An Efficient Hybrid Model for Low-light Image Enhancement in Mobile Devices. 3056-3065 - Ofir Amir, Gil Ben-Artzi:
SMM-Conv: Scalar Matrix Multiplication with Zero Packing for Accelerated Convolution. 3066-3074 - Bo Chen, Ali Bakhshi, Gustavo Batista, Brian Wai-Him Ng, Tat-Jun Chin:
Update Compression for Deep Neural Networks on the Edge. 3075-3085 - TingxingTim Dong, Hao Yan, Mayank Parasar, Raun Krisch:
RenderSR: A Lightweight Super-Resolution Model for Mobile Gaming Upscaling. 3086-3094 - Xipeng Yang, Jin Ye, Jincheng Lu, Chenting Gong, Minyue Jiang, Xiangru Lin, Wei Zhang, Xiao Tan, Yingying Li, Xiaoqing Ye, Errui Ding:
Box-Grained Reranking Matching for Multi-Camera Multi-Target Tracking. 3095-3105 - Long Hoang Pham, Duong Nguyen-Ngoc Tran, Huy-Hung Nguyen, Tai Huu-Phuong Tran, Hyung-Joon Jeon, Hyung-Min Jeon, Jae Wook Jeon:
DeepACO: A Robust Deep Learning-based Automatic Checkout System. 3106-3113 - Vojtech Bartl, Jakub Spanhel, Adam Herout:
PersonGONE: Image Inpainting for Automated Checkout Solution. 3114-3122 - Yunhao Du, Binyu Zhang, Xiangning Ruan, Fei Su, Zhicheng Zhao, Hong Chen:
OMG: Observe Multiple Granularities for Natural Language-Based Vehicle Retrieval. 3123-3132 - Thang-Long Nguyen-Ho, Minh-Khoi Pham, Tien-Phat Nguyen, Hai-Dang Nguyen, Minh N. Do, Tam V. Nguyen, Minh-Triet Tran:
Text Query based Traffic Video Event Retrieval with Global-Local Fusion Embedding. 3133-3140 - Bocheng Xu, Yihua Xiong, Rui Zhang, Yanyi Feng, Haifeng Wu:
Natural Language-Based Vehicle Retrieval with Explicit Cross-Modal Representation Learning. 3141-3148 - Duong Nguyen-Ngoc Tran, Long Hoang Pham, Hyung-Joon Jeon, Huy-Hung Nguyen, Hyung-Min Jeon, Tai Huu-Phuong Tran, Jae Wook Jeon:
A Robust Traffic-Aware City-Scale Multi-Camera Vehicle Tracking Of Vehicles. 3149-3158 - Junwei Liang, He Zhu, Enwei Zhang, Jun Zhang:
Stargazer: A Transformer-based Driver Action Detection System for Intelligent Transportation. 3159-3166 - Manh Tung Tran, Minh Quan Vu, Ngoc Duong Hoang, Khac-Hoai Nam Bui:
An Effective Temporal Localization Method with Multi-View 3D Action Recognition for Untrimmed Naturalistic Driving Videos. 3167-3172 - Tunç Alkanat, Erkut Akdag, Egor Bondarev, Peter H. N. de With:
Density-Guided Label Smoothing for Temporal Localization of Driving Actions. 3173-3181 - Md. Istiak Hossain Shihab, Nazia Tasnim, Hasib Zunair, Labiba Kanij Rupty, Nabeel Mohammed:
VISTA: Vision Transformer enhanced by U-Net and Image Colorfulness Frame Filtration for Automatic Retail Checkout. 3182-3190 - Manoj Bharadhwaj, Gitakrishnan Ramadurai, Balaraman Ravindran:
Detecting Vehicles on the Edge: Knowledge Distillation to Improve Performance in Heterogeneous Road Traffic. 3191-3197 - Andreas Specker, Lucas Florin, Mickael Cormier, Jürgen Beyerer:
Improving Multi-Target Multi-Camera Tracking by Track Refinement and Completion. 3198-3208 - Maged Shoman, Armstrong Aboah, Alex Morehead, Ye Duan, Abdulateef Daud, Yaw Adu-Gyamfi:
A Region-Based Deep Learning Approach to Automated Retail Checkout. 3209-3214 - Jiacheng Zhang, Xiangru Lin, Minyue Jiang, Yue Yu, Chenting Gong, Wei Zhang, Xiao Tan, Yingying Li, Errui Ding, Guanbin Li:
A Multi-granularity Retrieval System for Natural Language-based Vehicle Retrieval. 3215-3224 - Chuyang Zhao, Haobo Chen, Wenyuan Zhang, Junru Chen, Sipeng Zhang, Yadong Li, Boxun Li:
Symmetric Network with Spatial Relationship Modeling for Natural Language-based Vehicle Retrieval. 3225-3232 - Guanchen Ding, Wenwei Han, Chenglong Wang, Mingpeng Cui, Lin Zhou, Dianbo Pan, Jiayi Wang, Junxi Zhang, Zhenzhong Chen:
A Coarse-to-Fine Boundary Localization method for Naturalistic Driving Action Recognition. 3233-3240 - Wei Li, Shimin Chen, Jianyang Gu, Ning Wang, Chen Chen, Yandong Guo:
MV-TAL: Mulit-view Temporal Action Localization in Naturalistic Driving. 3241-3247 - Chuong Nguyen, Ngoc Nguyen, Su Huynh, Vinh Nguyen, Son Nguyen:
Learning Generalized Feature for Temporal Action Detection: Application for Natural Driving Action Recognition Challenge. 3248-3255 - Yuming Liu, Xiaochun Zhang, Bingzhen Zhang, Xiaoyong Zhang, Sen Wang, Jianrong Xu:
Multi-Camera Vehicle Tracking Based on Occlusion-aware and Inter-vehicle Information. 3256-3263 - Fei Li, Zhen Wang, Ding Nie, Shiyi Zhang, Xingqun Jiang, Xingxing Zhao, Peng Hu:
Multi-Camera Vehicle Tracking System for AI City Challenge 2022. 3264-3272 - Arpita Vats, David C. Anastasiu:
Key Point-Based Driver Activity Recognition. 3273-3280 - Junfeng Wan, Shuhao Qian, Zihan Tian, Yanyun Zhao:
An Effective Framework of Multi-Class Product Counting and Recognition for Automated Retail Checkout. 3281-3289 - Hangyue Zhao, Yuchao Xiao, Yanyun Zhao:
PAND: Precise Action Recognition on Naturalistic Driving. 3290-3298 - Huy Dinh-Anh Le, Quang Qui-Vinh Nguyen, Vuong Ai Nguyen, Thong Duy-Minh Nguyen, Nhat Minh Chung, Tin Trung Thai, Synh Viet-Uyen Ha:
Tracked-Vehicle Retrieval by Natural Language Descriptions With Domain Adaptive Knowledge. 3299-3308 - Hui Yao, Zhizhao Duan, Zhen Xie, Jingbo Chen, Xi Wu, Duo Xu, YuTao Gao:
City-Scale Multi-Camera Vehicle Tracking based on Space-Time-Appearance Features. 3309-3317 - Munirah Alyahya, Shahad Alghannam, Taghreed Alhussan:
Temporal Driver Action Localization using Action Classification Methods. 3318-3325 - Nhat Minh Chung, Huy Dinh-Anh Le, Vuong Ai Nguyen, Quang Qui-Vinh Nguyen, Thong Duy-Minh Nguyen, Tin Trung Thai, Synh Viet-Uyen Ha:
Multi-Camera Multi-Vehicle Tracking with Domain Generalization and Contextual Constraints. 3326-3336 - Keval Doshi, Yasin Yilmaz:
Federated Learning-based Driver Activity Recognition for Edge Devices. 3337-3345 - Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Alice Li, Shangru Li, Rama Chellappa:
The 6th AI City Challenge. 3346-3355 - Daniel Becking, Heiner Kirchhoffer, Gerhard Tech, Paul Haase, Karsten Müller, Heiko Schwarz, Wojciech Samek:
Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning. 3366-3375 - Hui Wen, Yue Wu, Jingjing Li, Hancong Duan:
Communication-Efficient Federated Data Augmentation on Non-IID Data. 3376-3385 - Gary Cheng, Zachary Charles, Zachary Garrett, Keith Rush:
Does Federated Dropout actually work? 3386-3394 - Xiaoyu Cao, Neil Zhenqiang Gong:
MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients. 3395-3403 - Arnav Chakravarthy, Zhiyuan Fang, Yezhou Yang:
Tragedy Plus Time: Capturing Unintended Human Activities from Weakly-labeled Videos. 3404-3414 - Kaleab Alemayehu Kinfu, René Vidal:
Analysis and Extensions of Adversarial Training for Video Classification. 3415-3424 - Chi Zhang, Yalu Cheng, Pengxu Wei, Hongliang He, Jie Chen:
CENet: Consolidation-and-Exploration Network for Continuous Domain Adaptation. 3425-3431 - David Schneider, M. Saquib Sarfraz, Alina Roitberg, Rainer Stiefelhagen:
Pose-based Contrastive Learning for Domain Agnostic Activity Representations. 3432-3442 - Amrutha Machireddy, Ranganath Krishnan, Nilesh A. Ahuja, Omesh Tickoo:
Continual Active Adaptation to Evolving Distributional Shifts. 3443-3449 - Kanav Vats, William J. McNally, Pascale Walters, David A. Clausi, John S. Zelek:
Ice hockey player identification via transformers and weakly supervised learning. 3450-3459 - Adrien Maglo, Astrid Orcesi, Quoc-Cuong Pham:
Efficient tracking of team sport players with few game-specific annotations. 3460-3470 - Gabriel Van Zandycke, Christophe De Vleeschouwer:
3D Ball Localization From A Single Calibrated Image. 3471-3479 - Renaud Vandeghen, Anthony Cioppa, Marc Van Droogenbroeck:
Semi-Supervised Training to Improve Player and Ball Detection in Soccer. 3480-3489 - Anthony Cioppa, Silvio Giancola, Adrien Deliège, Le Kang, Xin Zhou, Zhiyu Cheng, Bernard Ghanem, Marc Van Droogenbroeck:
SoccerNet-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer Videos. 3490-3501 - Yutaro Honda, Rei Kawakami, Ryota Yoshihashi, Kenta Kato, Takeshi Naemura:
Pass Receiver Prediction in Soccer using Video and Players' Trajectories. 3502-3511 - Paul Liu, Jui-Hsien Wang:
MonoTrack: Shuttle trajectory reconstruction from monocular badminton video. 3512-3521 - Yen-Jui Chu, Jheng-Wei Su, Kai-Wen Hsiao, Chi-Yu Lien, Shu-Ho Fan, Min-Chun Hu, Ruen-Rone Lee, Chih-Yuan Yao, Hung-Kuo Chu:
Sports Field Registration via Keypoints-aware Label Condition. 3522-3529 - Katja Ludwig, Daniel Kienzle, Rainer Lienhart:
Recognition of Freely Selected Keypoints on Human Limbs. 3530-3538 - Bhat Dittakavi, Divyagna Bavikadi, Sai Vikas Desai, Soumi Chakraborty, Nishant Reddy, Vineeth N. Balasubramanian, Bharathi Callepalli, Ayon Sharma:
Pose Tutor: An Explainable System for Pose Correction in the Wild. 3539-3548 - Naoki Nonaka, Ryo Fujihira, Monami Nishio, Hidetaka Murakami, Takuya Tajima, Mutsuo Yamada, Akira Maeda, Jun Seita:
End-to-End High-Risk Tackle Detection System for Rugby. 3549-3558 - Saikat Sarkar, Dipti Prasad Mukherjee, Amlan Chakrabarti:
Watch and Act: Dual Interacting Agents for Automatic Generation of Possession Statistics in Soccer. 3559-3567 - Atom Scott, Ikuma Uchida, Masaki Onishi, Yoshinari Kameda, Kazuhiro Fukui, Keisuke Fujii:
SoccerTrack: A Dataset and Tracking Algorithm for Soccer with Fish-eye and Drone Videos. 3568-3578 - Farzaneh Askari, Rohit Ramaprasad, James J. Clark, Martin D. Levine:
Interaction Classification with Key Actor Detection in Multi-Person Sports Videos. 3579-3587 - Kevin Zhu, Alexander Wong, John McPhee:
FenceNet: Fine-grained Footwork Recognition in Fencing. 3588-3597 - Swarnava Dey, Pallab Dasgupta, Partha Pratim Chakrabarti:
SymDNN: Simple & Effective Adversarial Robustness for Embedded Systems. 3598-3608 - Indhumathi 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:
Real-time Hyper-Dimensional Reconfiguration at the Edge using Hardware Accelerators. 3609-3617 - Jordan Shipard, Arnold Wiliem, Clinton Fookes:
Does Interference Exist When Training a Once-For-All Network? 3618-3627 - Yanan Liu, Yao Lu:
On-Sensor Binarized Fully Convolutional Neural Network for Localisation and Coarse Segmentation. 3628-3637 - Bahri Batuhan Bilecen, Alparslan Fisne, Mustafa Ayazoglu:
Efficient Multi-Purpose Cross-Attention Based Image Alignment Block for Edge Devices. 3638-3647 - Mohamed R. Ibrahim, Terry J. Lyons:
ImageSig: A signature transform for ultra-lightweight image recognition. 3648-3658 - Saeejith Nair, Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee:
MAPLE-Edge: A Runtime Latency Predictor for Edge Devices. 3659-3667 - Zejiang Hou, Sun-Yuan Kung:
Multi-Dimensional Vision Transformer Compression via Dependency Guided Gaussian Process Search. 3668-3677 - Himalaya Jain, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord:
CSG0: Continual Urban Scene Generation with Zero Forgetting. 3678-3686 - Touqeer Ahmad, Akshay Raj Dhamija, Mohsen Jafarzadeh, Steve Cruz, Ryan Rabinowitz, Chunchun Li, Terrance E. Boult:
Variable Few Shot Class Incremental and Open World Learning. 3687-3698 - Fabio Cermelli, Antonino Geraci, Dario Fontanel, Barbara Caputo:
Modeling Missing Annotations for Incremental Learning in Object Detection. 3699-3709 - Amin Ranem, Camila González, Anirban Mukhopadhyay:
Continual Hippocampus Segmentation with Transformers. 3710-3719 - Vladimir Araujo, Julio Hurtado, Alvaro Soto, Marie-Francine Moens:
Entropy-based Stability-Plasticity for Lifelong Learning. 3720-3727 - Kai Wang, Xialei Liu, Andy Bagdanov, Luis Herranz, Shangling Jui, Joost van de Weijer:
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition. 3728-3738 - Abu Md Niamul Taufique, Chowdhury Sadman Jahan, Andreas E. Savakis:
Unsupervised Continual Learning for Gradually Varying Domains. 3739-3749 - Antoine Saporta, Arthur Douillard, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord:
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation. 3750-3759 - K. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N. Balasubramanian:
Spacing Loss for Discovering Novel Categories. 3760-3765 - Corban G. Rivera, David A. Handelman, Christopher R. Ratto, David Patrone, Bart L. Paulhamus:
Visual Goal-Directed Meta-Imitation Learning. 3766-3772 - Beyza Ermis, Giovanni Zappella, Martin Wistuba, Aditya Rawal, Cédric Archambeau:
Continual Learning with Transformers for Image Classification. 3773-3780 - Quentin Ferdinand, Benoit Clement, Quentin Oliveau, Gilles Le Chenadec, Panagiotis Papadakis:
Attenuating Catastrophic Forgetting by Joint Contrastive and Incremental Learning. 3781-3788 - Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu:
Ex-Model: Continual Learning from a Stream of Trained Models. 3789-3798 - Jaime Spencer, Richard Bowden, Simon Hadfield:
Medusa: Universal Feature Learning via Attentional Multitasking. 3799-3808 - Shibo Jie, Zhi-Hong Deng, Ziheng Li:
Alleviating Representational Shift for Continual Fine-tuning. 3809-3818 - Francesco Pelosin, Saurav Jha, Andrea Torsello, Bogdan Raducanu, Joost van de Weijer:
Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization. 3819-3828 - Hamza Rami, Matthieu Ospici, Stéphane Lathuilière:
Online Unsupervised Domain Adaptation for Person Re-identification. 3829-3838 - Héctor Laria Mantecon, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu:
Transferring Unconditional to Conditional GANs with Hyper-Modulation. 3839-3848 - Jiangpeng He, Fengqing Zhu:
Out-Of-Distribution Detection In Unsupervised Continual Learning. 3849-3854 - Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao, Bing Liu:
Continual Learning Based on OOD Detection and Task Masking. 3855-3865 - Alex Gomez-Villa, Bartlomiej Twardowski, Lu Yu, Andrew D. Bagdanov, Joost van de Weijer:
Continually Learning Self-Supervised Representations with Projected Functional Regularization. 3866-3876 - Nazmul Karim, Umar Khalid, Ashkan Esmaeili, Nazanin Rahnavard:
CNLL: A Semi-supervised Approach For Continual Noisy Label Learning. 3877-3887 - Keval Doshi, Yasin Yilmaz:
Multi-Task Learning for Video Surveillance with Limited Data. 3888-3898 - Touqeer Ahmad, Akshay Raj Dhamija, Steve Cruz, Ryan Rabinowitz, Chunchun Li, Mohsen Jafarzadeh, Terrance E. Boult:
Few-Shot Class Incremental Learning Leveraging Self-Supervised Features. 3899-3909 - Doyup Lee, Sungwoong Kim, Ildoo Kim, Yeongjae Cheon, Minsu Cho, Wook-Shin Han:
Contrastive Regularization for Semi-Supervised Learning. 3910-3919 - Wangmeng Xiang, Chao Li, Ke Li, Biao Wang, Xian-Sheng Hua, Lei Zhang:
CDAD: A Common Daily Action Dataset with Collected Hard Negative Samples. 3920-3929 - Utkarsh Mall, Bharath Hariharan, Kavita Bala:
Zero-shot Learning Using Multimodal Descriptions. 3930-3938 - Shuzhi Yu, Guanhang Wu, Chunhui Gu, Mohammed E. Fathy:
TDT: Teaching Detectors to Track without Fully Annotated Videos. 3939-3949 - Weiping Yu, Sijie Zhu, Taojiannan Yang, Chen Chen:
Consistency-based Active Learning for Object Detection. 3950-3959 - Jiyang Zheng, Weihao Li, Jie Hong, Lars Petersson, Nick Barnes:
Towards Open-Set Object Detection and Discovery. 3960-3969 - Gyungin Shin, Samuel Albanie, Weidi Xie:
Unsupervised Salient Object Detection with Spectral Cluster Voting. 3970-3979 - Viraj Prabhu, Ramprasaath R. Selvaraju, Judy Hoffman, Nikhil Naik:
Can domain adaptation make object recognition work for everyone? 3980-3987 - Semih Orhan, Josechu J. Guerrero, Yalin Bastanlar:
Semantic Pose Verification for Outdoor Visual Localization with Self-supervised Contrastive Learning. 3988-3997 - Amin Banitalebi-Dehkordi, Pratik Gujjar, Yong Zhang:
AuxMix: Semi-Supervised Learning with Unconstrained Unlabeled Data. 3998-4005 - Raphaël Jean, Pierre-Luc St-Charles, Sören Pirk, Simon Brodeur:
Self-Supervised Learning of Pose-Informed Latents. 4006-4015 - Samarth Sinha, Karsten Roth, Anirudh Goyal, Marzyeh Ghassemi, Zeynep Akata, Hugo Larochelle, Animesh Garg:
Uniform Priors for Data-Efficient Learning. 4016-4027 - Sayan Rakshit, Balasubramanian S, Hmrishav Bandyopadhyay, Piyush Bharambe, Sai Nandan Desetti, Biplab Banerjee, Subhasis Chaudhuri:
Open-Set Domain Adaptation Under Few Source-Domain Labeled Samples. 4028-4037 - Karim Guirguis, Ahmed Hendawy, George Eskandar, Mohamed Abdelsamad, Matthias Kayser, Jürgen Beyerer:
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection. 4038-4048 - Shaokai Wu, Zhaogeng Liu, Wencheng Pei, Jianbo Hong, Zhanshan Li:
Faster, Lighter, Robuster: A Weakly-Supervised Crowd Analysis Enhancement Network and A Generic Feature Extraction Framework. 4049-4058 - Matan Jacob Cohen, Shai Avidan:
Transformaly - Two (Feature Spaces) Are Better Than One. 4059-4068 - Cheng-En Wu, Farley Lai, Yu Hen Hu, Asim Kadav:
Self-supervised Video Representation Learning with Cascade Positive Retrieval. 4069-4078 - Brandon Leung, Chih-Hui Ho, Nuno Vasconcelos:
Black-Box Test-Time Shape REFINEment for Single View 3D Reconstruction. 4079-4089 - Zhengfeng Lai, Chao Wang, Sen-Ching S. Cheung, Chen-Nee Chuah:
SaR: Self-adaptive Refinement on Pseudo Labels for Multiclass-Imbalanced Semi-supervised Learning. 4090-4099 - Saurav Gupta, Sourav Lakhotia, Abhay Rawat, Rahul Tallamraju:
ViTOL: Vision Transformer for Weakly Supervised Object Localization. 4100-4109 - Yuyang Xie, Jianhong Wen, Kin Wai Lau, Yasar Abbas Ur Rehman, Jiajun Shen:
What Should Be Equivariant In Self-Supervised Learning. 4110-4119 - Tarun Kalluri, Manmohan Chandraker:
Cluster-to-adapt: Few Shot Domain Adaptation for Semantic Segmentation across Disjoint Labels. 4120-4130 - Michael Dorkenwald, Fanyi Xiao, Biagio Brattoli, Joseph Tighe, Davide Modolo:
SCVRL: Shuffled Contrastive Video Representation Learning. 4131-4140 - Thaddäus Wiedemer, Stefan Wolf, Arne Schumann, Kaisheng Ma, Jürgen Beyerer:
Few-Shot Supervised Prototype Alignment for Pedestrian Detection on Fisheye Images. 4141-4152 - Olivier Moliner, Sangxia Huang, Kalle Åström:
Bootstrapped Representation Learning for Skeleton-Based Action Recognition. 4153-4163 - Ilke Çugu, Massimiliano Mancini, Yanbei Chen, Zeynep Akata:
Attention Consistency on Visual Corruptions for Single-Source Domain Generalization. 4164-4173 - Emmanuel Asiedu Brempong, Simon Kornblith, Ting Chen, Niki Parmar, Matthias Minderer, Mohammad Norouzi:
Denoising Pretraining for Semantic Segmentation. 4174-4185 - Joseph F. Comer, Philip L. Jacobson, Heiko Hoffmann:
Few-Shot Image Classification Along Sparse Graphs. 4186-4194 - Bing Zhao, Jun Li, Hong Zhu:
CoDo: Contrastive Learning with Downstream Background Invariance for Detection. 4195-4200 - Stephan Alaniz, Marco Federici, Zeynep Akata:
Compositional Mixture Representations for Vision and Text. 4201-4210 - Nanqing Dong, Jiayi Wang, Irina Voiculescu:
Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity. 4211-4219 - Viresh Ranjan, Minh Hoai:
Vicinal Counting Networks. 4220-4229 - Amirhossein Dadashzadeh, Alan L. Whone, Majid Mirmehdi:
Auxiliary Learning for Self-Supervised Video Representation via Similarity-based Knowledge Distillation. 4230-4239 - Shuvam Chakraborty, Burak Uzkent, Kumar Ayush, Kumar Tanmay, Evan Sheehan, Stefano Ermon:
Efficient Conditional Pre-training for Transfer Learning. 4240-4249 - Zixi Liang, Jiajun Chen, Rui Chen, Bingbing Zheng, Mingyue Zhou, Huaien Gao, Shan Lin:
Domain Adaptable Normalization for Semi-Supervised Action Recognition in the Dark. 4250-4257 - Zhi Chen, Zijun Fan, Yongjie Li, Huaien Gao, Shan Lin:
Z-Domain Entropy Adaptable Flex for Semi-supervised Action Recognition in the Dark. 4258-4265 - Longgang Dai, Hongming Chen, Yufeng Li, Caihua Kong, Zhentao Fan, Jiyang Lu, Xiang Chen:
TARDet: Two-stage Anchor-free Rotating Object Detector in Aerial Images. 4266-4274 - Pengpeng Li, Jiyu Jin, Guiyue Jin, Lei Fan, Xiao Gao, Tianyu Song, Xiang Chen:
Deep Scale-space Mining Network for Single Image Deraining. 4275-4284 - Artur André Almeida de Macedo Oliveira, Zhangyang Wang, Roberto Hirata:
Locating Urban Trees near Electric Wires using Google Street View Photos: A New Dataset and A Semi-Supervised Learning Approach in the Wild. 4285-4293 - Wei Wu, Hao Chang, Yonghua Zheng, Zhu Li, Zhiwen Chen, Ziheng Zhang:
Contrastive Learning-based Robust Object Detection under Smoky Conditions. 4294-4301 - Aman Goyal, Dev Agarwal, Anbumani Subramanian, C. V. Jawahar, Ravi Kiran Sarvadevabhatla, Rohit Saluja:
Detecting, Tracking and Counting Motorcycle Rider Traffic Violations on Unconstrained Roads. 4302-4311 - Yunpeng Gong, Liqing Huang, Lifei Chen:
Person Re-identification Method Based on Color Attack and Joint Defence. 4312-4321 - Sangjun Lee, Inwoo Hwang, Gi-Cheon Kang, Byoung-Tak Zhang:
Improving Robustness to Texture Bias via Shape-focused Augmentation. 4322-4330 - Gaurav Kumar Nayak, Ruchit Rawal, Rohit Lal, Himanshu Patil, Anirban Chakraborty:
Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems. 4331-4340 - Deepak E. Gopinath, Jonathan A. DeCastro, Guy Rosman, Emily Sumner, Allison Morgan, Shabnam Hakimi, Simon Stent:
HMIway-env: A Framework for Simulating Behaviors and Preferences to Support Human-AI Teaming in Driving. 4341-4349 - Konstantin Kirchheim, Marco Filax, Frank Ortmeier:
PyTorch-OOD: A Library for Out-of-Distribution Detection based on PyTorch. 4350-4359 - Junyaup Kim, Simon S. Woo:
Efficient Two-stage Model Retraining for Machine Unlearning. 4360-4368 - Chenguang Li, Jia Shi, Ya Wang, Guangliang Cheng:
Reconstruct from Top View: A 3D Lane Detection Approach based on Geometry Structure Prior. 4369-4378 - Chenguang Li, Boheng Zhang, Jia Shi, Guangliang Cheng:
Multi-level Domain Adaptation for Lane Detection. 4379-4388 - Shu Hu, Chun-Hao Liu, Jayanta Dutta, Ming-Ching Chang, Siwei Lyu, Naveen Ramakrishnan:
PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems. 4389-4397 - Andreas Bär, Marvin Klingner, Jonas Löhdefink, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
Performance Prediction for Semantic Segmentation by a Self-Supervised Image Reconstruction Decoder. 4398-4407 - Hedi Ben-Younes, Éloi Zablocki, Mickaël Chen, Patrick Pérez, Matthieu Cord:
Raising context awareness in motion forecasting. 4408-4417 - Jun Wang, Xiaolong Li, Alan Sullivan, A. Lynn Abbott, Siheng Chen:
PointMotionNet: Point-Wise Motion Learning for Large-Scale LiDAR Point Clouds Sequences. 4418-4427 - Xinyu Luo, Jiaming Zhang, Kailun Yang, Alina Roitberg, Kunyu Peng, Rainer Stiefelhagen:
Towards Robust Semantic Segmentation of Accident Scenes via Multi-Source Mixed Sampling and Meta-Learning. 4428-4438 - Kai Cordes, Christoph Reinders, Paul Hindricks, Jonas Lammers, Bodo Rosenhahn, Hellward Broszio:
RoadSaW: A Large-Scale Dataset for Camera-Based Road Surface and Wetness Estimation. 4439-4448 - Dong-Hee Paek, Seung-Hyung Kong, Kevin Tirta Wijaya:
K-Lane: Lidar Lane Dataset and Benchmark for Urban Roads and Highways. 4449-4458 - Baoru Huang, Jian-Qing Zheng, Stamatia Giannarou, Daniel S. Elson:
H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry. 4459-4466 - Marcus Valtonen Örnhag, Patrik Persson, Mårten Wadenbäck, Kalle Åström, Anders Heyden:
Trust Your IMU: Consequences of Ignoring the IMU Drift. 4467-4476 - Jingxiao 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:
Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving. 4477-4486 - Daniel Bogdoll, Maximilian Nitsche, J. Marius Zöllner:
Anomaly Detection in Autonomous Driving: A Survey. 4487-4498 - Nicola Marinello, Marc Proesmans, Luc Van Gool:
TripletTrack: 3D Object Tracking using Triplet Embeddings and LSTM. 4499-4509 - Yun Zhao, Yu Zhang, Zhan Gong, Hong Zhu:
Scene Representation in Bird's-Eye View from Surrounding Cameras with Transformers. 4510-4518 - Andreas Kloukiniotis, Andreas Papandreou, Christos Anagnostopoulos, Aris S. Lalos, Petros Kapsalas, Duong Nguyen Van, Konstantinos Moustakas:
CarlaScenes: A synthetic dataset for odometry in autonomous driving. 4519-4527 - Qi Chen, Sourabh Vora:
Proposal-free Lidar Panoptic Segmentation with Pillar-level Affinity. 4528-4535 - Tianyuan Zhang, Xuanyao Chen, Yue Wang, Yilun Wang, Hang Zhao:
MUTR3D: A Multi-camera Tracking Framework via 3D-to-2D Queries. 4536-4545 - Neculai Andrei, Yanbei Chen, Zeynep Akata:
Probabilistic Compositional Embeddings for Multimodal Image Retrieval. 4546-4556 - Binh X. Nguyen, Tuong Do, Huy Tran, Erman Tjiputra, Quang D. Tran, Anh Nguyen:
Coarse-to-Fine Reasoning for Visual Question Answering. 4557-4565 - Mustafa Shukor, Guillaume Couairon, Asya Grechka, Matthieu Cord:
Transformer Decoders with MultiModal Regularization for Cross-Modal Food Retrieval. 4566-4577 - Dan Oneata, Horia Cucu:
Improving Multimodal Speech Recognition by Data Augmentation and Speech Representations. 4578-4587 - Shah Nawaz, Jacopo Cavazza, Alessio Del Bue:
Semantically Grounded Visual Embeddings for Zero-Shot Learning. 4588-4598 - Shunyu Zhang, Xiaoze Jiang, Zequn Yang, Tao Wan, Zengchang Qin:
Reasoning with Multi-Structure Commonsense Knowledge in Visual Dialog. 4599-4608 - Ilker Kesen, Ozan Arkan Can, Erkut Erdem, Aykut Erdem, Deniz Yüret:
Modulating Bottom-Up and Top-Down Visual Processing via Language-Conditional Filters. 4609-4619 - Zipeng Fu, Ashish Kumar, Ananye Agarwal, Haozhi Qi, Jitendra Malik, Deepak Pathak:
Coupling Vision and Proprioception for Navigation of Legged Robots. 4620-4630 - Christopher Thomas, Adriana Kovashka:
Emphasizing Complementary Samples for Non-literal Cross-modal Retrieval. 4631-4640 - Giacomo Nebbia, Adriana Kovashka:
Doubling down: sparse grounding with an additional, almost-matching caption for detection-oriented multimodal pretraining. 4641-4650 - Vishal M. Chudasama, Purbayan Kar, Ashish Gudmalwar, Nirmesh Shah, Pankaj Wasnik, Naoyuki Onoe:
M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation. 4651-4660 - Manuele Barraco, Marcella Cornia, Silvia Cascianelli, Lorenzo Baraldi, Rita Cucchiara:
The Unreasonable Effectiveness of CLIP Features for Image Captioning: An Experimental Analysis. 4661-4669 - Murad Popattia, Muhammad Rafi, Rizwan Qureshi, Shah Nawaz:
Guiding Attention using Partial-Order Relationships for Image Captioning. 4670-4679 - Kohei Uehara, Nan Duan, Tatsuya Harada:
Learning to Ask Informative Sub-Questions for Visual Question Answering. 4680-4689 - Nuha Aldausari, Arcot Sowmya, Nadine Marcus, Gelareh Mohammadi:
Cascaded Siamese Self-supervised Audio to Video GAN. 4690-4699 - Rushil Kaushal Sanghavi, Yashaswi Verma:
Multi-view Multi-label Canonical Correlation Analysis for Cross-modal Matching and Retrieval. 4700-4709 - Kenny T. R. Voo, Liming Jiang, Chen Change Loy:
Delving into High-Quality Synthetic Face Occlusion Segmentation Datasets. 4710-4719 - Haotang Li, Shengtao Guo, Kailin Lyu, Xiao Yang, Tianchen Chen, Jianqing Zhu, Huanqiang Zeng:
A Challenging Benchmark of Anime Style Recognition. 4720-4729 - Suncheng Xiang, Guanjie You, Leqi Li, Mengyuan Guan, Ting Liu, Dahong Qian, Yuzhuo Fu:
Rethinking Illumination for Person Re-Identification: A Unified View. 4730-4738 - David M. Chan, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, Bryan Seybold, John F. Canny:
What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics. 4739-4748 - George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu:
Dataset Distillation by Matching Training Trajectories. 4749-4758 - Han Jiang, Zeqian Li, Jacob Whitehill:
Can the Mathematical Correctness of Object Configurations Affect the Accuracy of Their Perception? 4759-4765 - Etienne Bennequin, Myriam Tami, Antoine Toubhans, Céline Hudelot:
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling. 4766-4775 - Likun Cai, Zhi Zhang, Yi Zhu, Li Zhang, Mu Li, Xiangyang Xue:
BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training. 4776-4786 - Sean Kulinski, David I. Inouye:
Towards Explaining Image-Based Distribution Shifts. 4787-4791 - Nikita Jaipuria, Katherine Stevo, Xianling Zhang, Meghana L. Gaopande, Ian Calle Garcia, Jinesh Jain, Vidya N. Murali:
deepPIC: Deep Perceptual Image Clustering For Identifying Bias In Vision Datasets. 4792-4801 - Marvin Klingner, Konstantin Müller, Mona Mirzaie, Jasmin Breitenstein, Jan-Aike Termöhlen, Tim Fingscheidt:
On the Choice of Data for Efficient Training and Validation of End-to-End Driving Models. 4802-4811 - Jeffri Murrugarra-Llerena, Lucas N. Kirsten, Cláudio R. Jung:
Can we trust bounding box annotations for object detection? 4812-4821 - Dimity Miller, Georgia Goode, Callum Bennie, Peyman Moghadam, Raja Jurdak:
Why Object Detectors Fail: Investigating the Influence of the Dataset. 4822-4829 - Samuel William Pewton, Moi Hoon Yap:
Dark Corner on Skin Lesion Image Dataset: Does it matter? 4830-4838 - Sam Sattarzadeh, Shervin Manzuri Shalmani, Shervin Azad:
Mitigating Paucity of Data in Sinusoid Characterization Using Generative Synthetic Noise. 4839-4848 - Jiaxin Ma, Yoshitaka Ushiku, Miori Sagara:
The Effect of Improving Annotation Quality on Object Detection Datasets: A Preliminary Study. 4849-4858 - David Abou Chacra, John S. Zelek:
The Topology and Language of Relationships in the Visual Genome Dataset. 4859-4867 - Bojan Batalo, Lincon S. Souza, Bernardo B. Gatto, Naoya Sogi, Kazuhiro Fukui:
Analysis of Temporal Tensor Datasets on Product Grassmann Manifold. 4868-4876 - Ye Wang, Norman Mu, Daniele Grandi, Nicolas Savva, Jacob Steinhardt:
A3D: Studying Pretrained Representations with Programmable Datasets. 4877-4885 - Adrien Courtois, Jean-Michel Morel, Pablo Arias:
Investigating Neural Architectures by Synthetic Dataset Design. 4886-4895 - Valéry Dewil, Arnaud Barral, Gabriele Facciolo, Pablo Arias:
Self-supervision versus synthetic datasets: which is the lesser evil in the context of video denoising? 4896-4906 - Jiaying Lu, Xin Ye, Yi Ren, Yezhou Yang:
Good, Better, Best: Textual Distractors Generation for Multiple-Choice Visual Question Answering via Reinforcement Learning. 4917-4926 - Yihao Li, Jun Yu, Zhongpeng Cai, Yuwen Pan:
Cross-modal Target Retrieval for Tracking by Natural Language. 4927-4936 - Changchang Sun, Hugo Latapie, Gaowen Liu, Yan Yan:
Deep Normalized Cross-Modal Hashing with Bi-Direction Relation Reasoning. 4937-4945 - Guillaume Couairon, Matthijs Douze, Matthieu Cord, Holger Schwenk:
Embedding Arithmetic of Multimodal Queries for Image Retrieval. 4946-4954 - Alberto Baldrati, Marco Bertini, Tiberio Uricchio, Alberto Del Bimbo:
Conditioned and composed image retrieval combining and partially fine-tuning CLIP-based features. 4955-4964 - Yikang Li, Jenhao Hsiao, Chiuman Ho:
Object Prior Embedded Network for Query-Agnostic Image Retrieval. 4965-4970 - Stanislav Dereka, Ivan Karpukhin, Sergey Kolesnikov:
Deep Image Retrieval is not Robust to Label Noise. 4971-4976 - Jiawei Qin, Takuru Shimoyama, Yusuke Sugano:
Learning-by-Novel-View-Synthesis for Full-Face Appearance-Based 3D Gaze Estimation. 4977-4987 - Jun O. Oh, Hyung Jin Chang, Sang-Il Choi:
Self-Attention with Convolution and Deconvolution for Efficient Eye Gaze Estimation from a Full Face Image. 4988-4996 - John Gideon, Shan Su, Simon Stent:
Unsupervised Multi-View Gaze Representation Learning. 4997-5005 - Ryan Anthony Jalova de Belen, Tomasz Bednarz, Arcot Sowmya:
ScanpathNet: A Recurrent Mixture Density Network for Scanpath Prediction. 5006-5016 - Jianhang Chen, Xu Zhang, Yue Wu, Shalini Ghosh, Pradeep Natarajan, Shih-Fu Chang, Jan P. Allebach:
One-Stage Object Referring with Gaze Estimation. 5017-5026 - Yupei Chen, Zhibo Yang, Souradeep Chakraborty, Sounak Mondal, Seoyoung Ahn, Dimitris Samaras, Minh Hoai, Gregory J. Zelinsky:
Characterizing Target-absent Human Attention. 5027-5036 - Anshul Gupta, Samy Tafasca, Jean-Marc Odobez:
A Modular Multimodal Architecture for Gaze Target Prediction: Application to Privacy-Sensitive Settings. 5037-5046 - Ioana-Sabina Stoian, Ionut-Catalin Sandu, Daniel Voinea, Alin-Ionut Popa:
Unstructured Object Matching using Co-Salient Region Segmentation. 5047-5056 - Gil Avraham, Julian Straub, Tianwei Shen, Tsun-Yi Yang, Hugo Germain, Chris Sweeney, Vasileios Balntas, David Novotný, Daniel DeTone, Richard A. Newcombe:
Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation. 5057-5066 - Hugo Germain, Daniel DeTone, Geoffrey Pascoe, Tanner Schmidt, David Novotný, Richard A. Newcombe, Chris Sweeney, Richard Szeliski, Vasileios Balntas:
Feature Query Networks: Neural Surface Description for Camera Pose Refinement. 5067-5077 - Xi Shen, Alexei A. Efros, Armand Joulin, Mathieu Aubry:
Learning Co-segmentation by Segment Swapping for Retrieval and Discovery. 5078-5088 - Dikshit Hegde, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudengudi:
DA-AE: Disparity-Alleviation Auto-Encoder Towards Categorization of Heritage Images for Aggrandized 3D Reconstruction. 5089-5096 - Lars Martin Hodne, Eirik Leikvoll, Mauhing Yip, Andreas Langeland Teigen, Annette Stahl, Rudolf Mester:
Detecting and Suppressing Marine Snow for Underwater Visual SLAM. 5097-5105 - Georg Bökman, Fredrik Kahl:
A case for using rotation invariant features in state of the art feature matchers. 5106-5115 - Narges Honarvar Nazari, Adriana Kovashka:
The Role of Shape for Domain Generalization on Sparsely-Textured Images. 5116-5126 - Sheng Cheng, Yi Ren, Yezhou Yang:
SSR-GNNs: Stroke-based Sketch Representation with Graph Neural Networks. 5127-5137 - Tarun Khajuria, Kadi Tulver, Taavi Luik, Jaan Aru:
Constellations: A novel dataset for studying iterative inference in humans and AI. 5138-5148 - Javier Morales, Nils Murrugarra-Llerena, Jose M. Saavedra:
Leveraging Unlabeled Data for Sketch-based Understanding. 5149-5158 - Kaihong Yan, Ying Zhang, Haoran Tang, Chengkai Ren, Jian Zhang, Gaoang Wang, Hongwei Wang:
Signature Detection, Restoration, and Verification: A Novel Chinese Document Signature Forgery Detection Benchmark. 5159-5168 - Lu He, Bing Jian, Yangming Wen, Haichao Zhu, Kelin Liu, Weiwei Feng, Shan Liu:
Rethinking Supervised Depth Estimation for 360° Panoramic Imagery. 5169-5177 - Quentin Paletta, Anthony Hu, Guillaume Arbod, Philippe Blanc, Joan Lasenby:
SPIN: Simplifying Polar Invariance for Neural networks Application to vision-based irradiance forecasting. 5178-5187 - Haijing Jia, Hong Yi, Hirochika Fujiki, Hengzhi Zhang, Wei Wang, Makoto Odamaki:
3D Room Layout Recovery Generalizing across Manhattan and Non-Manhattan Worlds. 5188-5197 - Jeffri Murrugarra-Llerena, Thiago Lopes Trugillo da Silveira, Cláudio R. Jung:
Pose Estimation for Two-View Panoramas based on Keypoint Matching: a Comparative Study and Critical Analysis. 5198-5207 - Masum Shah Junayed, Arezoo Sadeghzadeh, Md Baharul Islam, Lai-Kuan Wong, Tarkan Aydin:
HiMODE: A Hybrid Monocular Omnidirectional Depth Estimation Model. 5208-5217 - Radka Tezaur, Avinash Kumar, Oscar Nestares:
A New Non-central Model for Fisheye Calibration. 5218-5227 - Antoine N. André, Guillaume Caron:
Photometric Visual Gyroscope for Full-View Spherical Camera. 5228-5231
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