Conferences · eligible papers

ICCV

2021–2025 確定版

ICCV 公式サイト ↗

Computer Vision

2021 · 1,612 papers

このEditionに反映済みのmain full research papersのみ掲載しています。著者リンクは日本の大学への著者別所属根拠がある場合に限ります。

  1. 2021 · ICCV

    An Empirical Study of Training Self-Supervised Vision Transformers

    Xinlei Chen, Saining Xie, Kaiming He

    Computer Vision

    日本大学: 関与なし(対象大学)

  2. 2021 · ICCV

    An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation

    Rongchang Xie, Chunyu Wang, Wenjun Zeng, Yizhou Wang

    Computer Vision

    日本大学: 関与なし(対象大学)

  3. 2021 · ICCV

    An End-to-End Transformer Model for 3D Object Detection

    Ishan Misra, Rohit Girdhar, Armand Joulin

    Computer Vision

    日本大学: 関与なし(対象大学)

  4. 2021 · ICCV

    Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies

    Sida Peng, Junting Dong, Qianqian Wang, Shangzhan Zhang, Qing Shuai, Xiaowei Zhou, Hujun Bao

    Computer Vision

    日本大学: 関与なし(対象大学)

  5. 2021 · ICCV

    Anonymizing Egocentric Videos

    Daksh Thapar, Aditya Nigam, Chetan Arora

    Computer Vision

    日本大学: 関与なし(対象大学)

  6. 2021 · ICCV

    Anticipative Video Transformer

    Rohit Girdhar, Kristen Grauman

    Computer Vision

    日本大学: 関与なし(対象大学)

  7. 2021 · ICCV

    Architecture Disentanglement for Deep Neural Networks

    Jie Hu, Liujuan Cao, Tong Tong, Qixiang Ye, Shengchuan Zhang, Ke Li, Feiyue Huang, Ling Shao, Rongrong Ji

    Computer Vision

    日本大学: 関与なし(対象大学)

  8. 2021 · ICCV

    Are We Missing Confidence in Pseudo-LiDAR Methods for Monocular 3D Object Detection?

    Andrea Simonelli, Samuel Rota Bulò, Lorenzo Porzi, Peter Kontschieder, Elisa Ricci

    Computer Vision

    日本大学: 関与なし(対象大学)

  9. 2021 · ICCV

    Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data

    Ning Yu, Vladislav Skripniuk, Sahar Abdelnabi, Mario Fritz

    Computer Vision

    日本大学: 関与なし(対象大学)

  10. 2021 · ICCV

    Ask&Confirm: Active Detail Enriching for Cross-Modal Retrieval With Partial Query

    Guanyu Cai, Jun Zhang, Xinyang Jiang, Yifei Gong, Lianghua He, Fufu Yu, Pai Peng, Xiaowei Guo, Feiyue Huang, Xing Sun

    Computer Vision

    日本大学: 関与なし(対象大学)

  11. 2021 · ICCV

    Assignment-Space-Based Multi-Object Tracking and Segmentation

    Anwesa Choudhuri, Girish Chowdhary, Alexander G. Schwing

    Computer Vision

    日本大学: 関与なし(対象大学)

  12. 2021 · ICCV

    Asymmetric Bilateral Motion Estimation for Video Frame Interpolation

    Junheum Park, Chul Lee, Chang-Su Kim

    Computer Vision

    日本大学: 関与なし(対象大学)

  13. 2021 · ICCV

    Asymmetric Loss for Multi-Label Classification

    Tal Ridnik, Emanuel Ben-Baruch, Nadav Zamir, Asaf Noy, Itamar Friedman, Matan Protter, Lihi Zelnik-Manor

    Computer Vision

    日本大学: 関与なし(対象大学)

  14. 2021 · ICCV

    Attack As the Best Defense: Nullifying Image-to-Image Translation GANs via Limit-Aware Adversarial Attack

    Chin-Yuan Yeh, Hsi-Wen Chen, Hong-Han Shuai, De-Nian Yang, Ming-Syan Chen

    Computer Vision

    日本大学: 関与なし(対象大学)

  15. 2021 · ICCV

    Attack-Guided Perceptual Data Generation for Real-World Re-Identification

    Yukun Huang, Xueyang Fu, Zheng-Jun Zha

    Computer Vision

    日本大学: 関与なし(対象大学)

  16. 2021 · ICCV

    Attention Is Not Enough: Mitigating the Distribution Discrepancy in Asynchronous Multimodal Sequence Fusion

    Tao Liang, Guosheng Lin, Lei Feng, Yan Zhang, Fengmao Lv

    Computer Vision

    日本大学: 関与なし(対象大学)

  17. 2021 · ICCV

    Attention-Based Multi-Reference Learning for Image Super-Resolution

    Marco Pesavento, Marco Volino, Adrian Hilton

    Computer Vision

    日本大学: 関与なし(対象大学)

  18. 2021 · ICCV

    Attentional Pyramid Pooling of Salient Visual Residuals for Place Recognition

    Guohao Peng, Jun Zhang, Heshan Li, Danwei Wang

    Computer Vision

    日本大学: 関与なし(対象大学)

  19. 2021 · ICCV

    Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation

    Seokju Lee, Francois Rameau, Fei Pan, In So Kweon

    Computer Vision

    日本大学: 関与なし(対象大学)

  20. 2021 · ICCV

    Audio-Visual Floorplan Reconstruction

    Senthil Purushwalkam, Sebastià Vicenc Amengual Garí, Vamsi Krishna Ithapu, Carl Schissler, Philip Robinson, Abhinav Gupta, Kristen Grauman

    Computer Vision

    日本大学: 関与なし(対象大学)

  21. 2021 · ICCV

    Audio2Gestures: Generating Diverse Gestures From Speech Audio With Conditional Variational Autoencoders

    Jing Li, Di Kang, Wenjie Pei, Xuefei Zhe, Ying Zhang, Zhenyu He, Linchao Bao

    Computer Vision

    日本大学: 関与なし(対象大学)

  22. 2021 · ICCV

    Augmented Lagrangian Adversarial Attacks

    Jérôme Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed

    Computer Vision

    日本大学: 関与なし(対象大学)

  23. 2021 · ICCV

    Augmenting Depth Estimation With Geospatial Context

    Scott Workman, Hunter Blanton

    Computer Vision

    日本大学: 関与なし(対象大学)

  24. 2021 · ICCV

    Auto Graph Encoder-Decoder for Neural Network Pruning

    Sixing Yu, Arya Mazaheri, Ali Jannesari

    Computer Vision

    日本大学: 関与なし(対象大学)

  25. 2021 · ICCV

    Auto-Parsing Network for Image Captioning and Visual Question Answering

    Xu Yang, Chongyang Gao, Hanwang Zhang, Jianfei Cai

    Computer Vision

    日本大学: 関与なし(対象大学)

  26. 2021 · ICCV

    AutoFormer: Searching Transformers for Visual Recognition

    Minghao Chen, Houwen Peng, Jianlong Fu, Haibin Ling

    Computer Vision

    日本大学: 関与なし(対象大学)

  27. 2021 · ICCV

    AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection

    Zongdai Liu, Dingfu Zhou, Feixiang Lu, Jin Fang, Liangjun Zhang

    Computer Vision

    日本大学: 関与なし(対象大学)

  28. 2021 · ICCV

    AutoSpace: Neural Architecture Search With Less Human Interference

    Daquan Zhou, Xiaojie Jin, Xiaochen Lian, Linjie Yang, Yujing Xue, Qibin Hou, Jiashi Feng

    Computer Vision

    日本大学: 関与なし(対象大学)

  29. 2021 · ICCV

    Auxiliary Tasks and Exploration Enable ObjectGoal Navigation

    Joel Ye, Dhruv Batra, Abhishek Das, Erik Wijmans

    Computer Vision

    日本大学: 関与なし(対象大学)

  30. 2021 · ICCV

    BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-Domain Semantic Segmentation

    Yahao Liu, Jinhong Deng, Xinchen Gao, Wen Li, Lixin Duan

    Computer Vision

    日本大学: 関与なし(対象大学)

  31. 2021 · ICCV

    BARF: Bundle-Adjusting Neural Radiance Fields

    Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba, Simon Lucey

    Computer Vision

    日本大学: 関与なし(対象大学)

  32. 2021 · ICCV

    BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning

    Zhirui Dai, Yuepeng Jiang, Yi Li, Bo Liu, Antoni B. Chan, Nuno Vasconcelos

    Computer Vision

    日本大学: 関与なし(対象大学)

  33. 2021 · ICCV

    BN-NAS: Neural Architecture Search With Batch Normalization

    Boyu Chen, Peixia Li, Baopu Li, Chen Lin, Chuming Li, Ming Sun, Junjie Yan, Wanli Ouyang

    Computer Vision

    日本大学: 関与なし(対象大学)

  34. 2021 · ICCV

    BV-Person: A Large-Scale Dataset for Bird-View Person Re-Identification

    Cheng Yan, Guansong Pang, Lei Wang, Jile Jiao, Xuetao Feng, Chunhua Shen, Jingjing Li

    Computer Vision

    日本大学: 関与なし(対象大学)

  35. 2021 · ICCV

    BabelCalib: A Universal Approach to Calibrating Central Cameras

    Yaroslava Lochman, Kostiantyn Liepieshov, Jianhui Chen, Michal Perdoch, Christopher Zach, James Pritts

    Computer Vision

    日本大学: 関与なし(対象大学)

  36. 2021 · ICCV

    Baking Neural Radiance Fields for Real-Time View Synthesis

    Peter Hedman, Pratul P. Srinivasan, Ben Mildenhall, Jonathan T. Barron, Paul Debevec

    Computer Vision

    日本大学: 関与なし(対象大学)

  37. 2021 · ICCV

    Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective

    Philipp Benz, Chaoning Zhang, In So Kweon

    Computer Vision

    日本大学: 関与なし(対象大学)

  38. 2021 · ICCV

    Bayesian Deep Basis Fitting for Depth Completion With Uncertainty

    Chao Qu, Wenxin Liu, Camillo J. Taylor

    Computer Vision

    日本大学: 関与なし(対象大学)

  39. 2021 · ICCV

    Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval

    Frederik Warburg, Martin Jørgensen, Javier Civera, Søren Hauberg

    Computer Vision

    日本大学: 関与なし(対象大学)

  40. 2021 · ICCV

    Benchmark Platform for Ultra-Fine-Grained Visual Categorization Beyond Human Performance

    Xiaohan Yu, Yang Zhao, Yongsheng Gao, Xiaohui Yuan, Shengwu Xiong

    Computer Vision

    日本大学: 関与なし(対象大学)

  41. 2021 · ICCV

    Benchmarking Ultra-High-Definition Image Super-Resolution

    Kaihao Zhang, Dongxu Li, Wenhan Luo, Wenqi Ren, Björn Stenger, Wei Liu, Hongdong Li, Ming-Hsuan Yang

    Computer Vision

    日本大学: 関与なし(対象大学)

  42. 2021 · ICCV

    Better Aggregation in Test-Time Augmentation

    Divya Shanmugam, Davis Blalock, Guha Balakrishnan, John Guttag

    Computer Vision

    日本大学: 関与なし(対象大学)

  43. 2021 · ICCV

    Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering

    Corentin Dancette, Rémi Cadène, Damien Teney, Matthieu Cord

    Computer Vision

    日本大学: 関与なし(対象大学)

  44. 2021 · ICCV

    Beyond Road Extraction: A Dataset for Map Update Using Aerial Images

    Favyen Bastani, Samuel Madden

    Computer Vision

    日本大学: 関与なし(対象大学)

  45. 2021 · ICCV

    Beyond Trivial Counterfactual Explanations With Diverse Valuable Explanations

    Pau Rodríguez, Massimo Caccia, Alexandre Lacoste, Lee Zamparo, Issam Laradji, Laurent Charlin, David Vazquez

    Computer Vision

    日本大学: 関与なし(対象大学)

  46. 2021 · ICCV

    BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation

    Thanh-Dat Truong, Chi Nhan Duong, Ngan Le, Son Lam Phung, Chase Rainwater, Khoa Luu

    Computer Vision

    日本大学: 関与なし(対象大学)

  47. 2021 · ICCV

    BiaSwap: Removing Dataset Bias With Bias-Tailored Swapping Augmentation

    Eungyeup Kim, Jihyeon Lee, Jaegul Choo

    Computer Vision

    日本大学: 関与なし(対象大学)

  48. 2021 · ICCV

    Bias Loss for Mobile Neural Networks

    Lusine Abrahamyan, Valentin Ziatchin, Yiming Chen, Nikos Deligiannis

    Computer Vision

    日本大学: 関与なし(対象大学)

  49. 2021 · ICCV

    Bifold and Semantic Reasoning for Pedestrian Behavior Prediction

    Amir Rasouli, Mohsen Rohani, Jun Luo

    Computer Vision

    日本大学: 関与なし(対象大学)

  50. 2021 · ICCV

    Big Self-Supervised Models Advance Medical Image Classification

    Shekoofeh Azizi, Basil Mustafa, Fiona Ryan, Zachary Beaver, Jan Freyberg, Jonathan Deaton, Aaron Loh, Alan Karthikesalingam, Simon Kornblith, Ting Chen, Vivek Natarajan, Mohammad Norouzi

    Computer Vision

    日本大学: 関与なし(対象大学)

  51. 2021 · ICCV

    Binocular Mutual Learning for Improving Few-Shot Classification

    Ziqi Zhou, Xi Qiu, Jiangtao Xie, Jianan Wu, Chi Zhang

    Computer Vision

    日本大学: 関与なし(対象大学)

  52. 2021 · ICCV

    BioFors: A Large Biomedical Image Forensics Dataset

    Ekraam Sabir, Soumyaroop Nandi, Wael Abd-Almageed, Prem Natarajan

    Computer Vision

    日本大学: 関与なし(対象大学)

  53. 2021 · ICCV

    Bit-Mixer: Mixed-Precision Networks With Runtime Bit-Width Selection

    Adrian Bulat, Georgios Tzimiropoulos

    Computer Vision

    日本大学: 関与なし(対象大学)

  54. 2021 · ICCV

    Black-Box Detection of Backdoor Attacks With Limited Information and Data

    Yinpeng Dong, Xiao Yang, Zhijie Deng, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu

    Computer Vision

    日本大学: 関与なし(対象大学)

  55. 2021 · ICCV

    BlockCopy: High-Resolution Video Processing With Block-Sparse Feature Propagation and Online Policies

    Thomas Verelst, Tinne Tuytelaars

    Computer Vision

    日本大学: 関与なし(対象大学)

  56. 2021 · ICCV

    BlockPlanner: City Block Generation With Vectorized Graph Representation

    Linning Xu, Yuanbo Xiangli, Anyi Rao, Nanxuan Zhao, Bo Dai, Ziwei Liu, Dahua Lin

    Computer Vision

    日本大学: 関与なし(対象大学)

  57. 2021 · ICCV

    Body-Face Joint Detection via Embedding and Head Hook

    Junfeng Wan, Jiangfan Deng, Xiaosong Qiu, Feng Zhou

    Computer Vision

    日本大学: 関与なし(対象大学)

  58. 2021 · ICCV

    Boosting Monocular Depth Estimation With Lightweight 3D Point Fusion

    Lam Huynh, Phong Nguyen, Jiří Matas, Esa Rahtu, Janne Heikkilä

    Computer Vision

    日本大学: 関与なし(対象大学)

  59. 2021 · ICCV

    Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters

    Bowen Dong, Zitong Huang, Yuelin Guo, Qilong Wang, Zhenxing Niu, Wangmeng Zuo

    Computer Vision

    日本大学: 関与なし(対象大学)

  60. 2021 · ICCV

    Boosting the Generalization Capability in Cross-Domain Few-Shot Learning via Noise-Enhanced Supervised Autoencoder

    Hanwen Liang, Qiong Zhang, Peng Dai, Juwei Lu

    Computer Vision

    日本大学: 関与なし(対象大学)

  61. 2021 · ICCV

    Bootstrap Your Own Correspondences

    Mohamed El Banani, Justin Johnson

    Computer Vision

    日本大学: 関与なし(対象大学)

  62. 2021 · ICCV

    BossNAS: Exploring Hybrid CNN-Transformers With Block-Wisely Self-Supervised Neural Architecture Search

    Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang

    Computer Vision

    日本大学: 関与なし(対象大学)

  63. 2021 · ICCV

    Boundary-Sensitive Pre-Training for Temporal Localization in Videos

    Mengmeng Xu, Juan-Manuel Pérez-Rúa, Victor Escorcia, Brais Martínez, Xiatian Zhu, Li Zhang, Bernard Ghanem, Tao Xiang

    Computer Vision

    日本大学: 関与なし(対象大学)

  64. 2021 · ICCV

    Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds

    Chaoda Zheng, Xu Yan, Jiantao Gao, Weibing Zhao, Wei Zhang, Zhen Li, Shuguang Cui

    Computer Vision

    日本大学: 関与なし(対象大学)

  65. 2021 · ICCV

    Bridging Unsupervised and Supervised Depth From Focus via All-in-Focus Supervision

    Ning-Hsu Wang, Ren Wang, Yu-Lun Liu, Yu-Hao Huang, Yu-Lin Chang, Chia-Ping Chen, Kevin Jou

    Computer Vision

    日本大学: 関与なし(対象大学)

  66. 2021 · ICCV

    Bridging the Gap Between Label- and Reference-Based Synthesis in Multi-Attribute Image-to-Image Translation

    Qiusheng Huang, Zhilin Zheng, Xueqi Hu, Li Sun, Qingli Li

    Computer Vision

    日本大学: 関与なし(対象大学)

  67. 2021 · ICCV

    Bringing Events Into Video Deblurring With Non-Consecutively Blurry Frames

    Wei Shang, Dongwei Ren, Dongqing Zou, Jimmy S. Ren, Ping Luo, Wangmeng Zuo

    Computer Vision

    日本大学: 関与なし(対象大学)

  68. 2021 · ICCV

    Broaden Your Views for Self-Supervised Video Learning

    Adrià Recasens, Pauline Luc, Jean-Baptiste Alayrac, Luyu Wang, Florian Strub, Corentin Tallec, Mateusz Malinowski, Viorica Pătrăucean, Florent Altché, Michal Valko, Jean-Bastien Grill, Aäron van den Oord, Andrew Zisserman

    Computer Vision

    日本大学: 関与なし(対象大学)

  69. 2021 · ICCV

    Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation

    Kai-Hung Chang, Chin-Yi Cheng, Jieliang Luo, Shingo Murata, Mehdi Nourbakhsh, Yoshito Tsuji

    Computer Vision

    日本大学: 関与なし(対象大学)

  70. 2021 · ICCV

    BuildingNet: Learning To Label 3D Buildings

    Pratheba Selvaraju, Mohamed Nabail, Marios Loizou, Maria Maslioukova, Melinos Averkiou, Andreas Andreou, Siddhartha Chaudhuri, Evangelos Kalogerakis

    Computer Vision

    日本大学: 関与なし(対象大学)

  71. 2021 · ICCV

    C2N: Practical Generative Noise Modeling for Real-World Denoising

    Geonwoon Jang, Wooseok Lee, Sanghyun Son, Kyoung Mu Lee

    Computer Vision

    日本大学: 関与なし(対象大学)

  72. 2021 · ICCV

    C3-SemiSeg: Contrastive Semi-Supervised Segmentation via Cross-Set Learning and Dynamic Class-Balancing

    Yanning Zhou, Hang Xu, Wei Zhang, Bin Gao, Pheng-Ann Heng

    Computer Vision

    日本大学: 関与なし(対象大学)

  73. 2021 · ICCV

    CAG-QIL: Context-Aware Actionness Grouping via Q Imitation Learning for Online Temporal Action Localization

    Hyolim Kang, Kyungmin Kim, Yumin Ko, Seon Joo Kim

    Computer Vision

    日本大学: 関与なし(対象大学)

  74. 2021 · ICCV

    CANet: A Context-Aware Network for Shadow Removal

    Zipei Chen, Chengjiang Long, Ling Zhang, Chunxia Xiao

    Computer Vision

    日本大学: 関与なし(対象大学)

  75. 2021 · ICCV

    CAPTRA: CAtegory-Level Pose Tracking for Rigid and Articulated Objects From Point Clouds

    Yijia Weng, He Wang, Qiang Zhou, Yuzhe Qin, Yueqi Duan, Qingnan Fan, Baoquan Chen, Hao Su, Leonidas J. Guibas

    Computer Vision

    日本大学: 関与なし(対象大学)

  76. 2021 · ICCV

    CCT-Net: Category-Invariant Cross-Domain Transfer for Medical Single-to-Multiple Disease Diagnosis

    Yi Zhou, Lei Huang, Tao Zhou, Ling Shao

    Computer Vision

    日本大学: 関与なし(対象大学)

  77. 2021 · ICCV

    CDNet: Centripetal Direction Network for Nuclear Instance Segmentation

    Hongliang He, Zhongyi Huang, Yao Ding, Guoli Song, Lin Wang, Qian Ren, Pengxu Wei, Zhiqiang Gao, Jie Chen

    Computer Vision

    日本大学: 関与なし(対象大学)

  78. 2021 · ICCV

    CDS: Cross-Domain Self-Supervised Pre-Training

    Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko

    Computer Vision

    日本大学: 関与なし(対象大学)

  79. 2021 · ICCV

    CLEAR: Clean-Up Sample-Targeted Backdoor in Neural Networks

    Liuwan Zhu, Rui Ning, Chunsheng Xin, Chonggang Wang, Hongyi Wu

    Computer Vision

    日本大学: 関与なし(対象大学)

  80. 2021 · ICCV

    CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification

    Chaoyou Fu, Yibo Hu, Xiang Wu, Hailin Shi, Tao Mei, Ran He

    Computer Vision

    日本大学: 関与なし(対象大学)

  81. 2021 · ICCV

    CODEs: Chamfer Out-of-Distribution Examples Against Overconfidence Issue

    Keke Tang, Dingruibo Miao, Weilong Peng, Jianpeng Wu, Yawen Shi, Zhaoquan Gu, Zhihong Tian, Wenping Wang

    Computer Vision

    日本大学: 関与なし(対象大学)

  82. 2021 · ICCV

    COMISR: Compression-Informed Video Super-Resolution

    Yinxiao Li, Pengchong Jin, Feng Yang, Ce Liu, Ming-Hsuan Yang, Peyman Milanfar

    Computer Vision

    日本大学: 関与なし(対象大学)

  83. 2021 · ICCV

    COOKIE: Contrastive Cross-Modal Knowledge Sharing Pre-Training for Vision-Language Representation

    Keyu Wen, Jin Xia, Yuanyuan Huang, Linyang Li, Jiayan Xu, Jie Shao

    Computer Vision

    日本大学: 関与なし(対象大学)

  84. 2021 · ICCV

    COTR: Correspondence Transformer for Matching Across Images

    Wei Jiang, Eduard Trulls, Jan Hosang, Andrea Tagliasacchi, Kwang Moo Yi

    Computer Vision

    日本大学: 関与なし(対象大学)

  85. 2021 · ICCV

    CPF: Learning a Contact Potential Field To Model the Hand-Object Interaction

    Lixin Yang, Xinyu Zhan, Kailin Li, Wenqiang Xu, Jiefeng Li, Cewu Lu

    Computer Vision

    日本大学: 関与なし(対象大学)

  86. 2021 · ICCV

    CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds

    Eric-Tuan Lê, Minhyuk Sung, Duygu Ceylan, Radomir Mech, Tamy Boubekeur, Niloy J. Mitra

    Computer Vision

    日本大学: 関与なし(対象大学)

  87. 2021 · ICCV

    CR-Fill: Generative Image Inpainting With Auxiliary Contextual Reconstruction

    Yu Zeng, Zhe Lin, Huchuan Lu, Vishal M. Patel

    Computer Vision

    日本大学: 関与なし(対象大学)

  88. 2021 · ICCV

    CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing

    Daxuan Ren, Jianmin Zheng, Jianfei Cai, Jiatong Li, Haiyong Jiang, Zhongang Cai, Junzhe Zhang, Liang Pan, Mingyuan Zhang, Haiyu Zhao, Shuai Yi

    Computer Vision

    日本大学: 関与なし(対象大学)

  89. 2021 · ICCV

    CTRL-C: Camera Calibration TRansformer With Line-Classification

    Jinwoo Lee, Hyunsung Go, Hyunjoon Lee, Sunghyun Cho, Minhyuk Sung, Junho Kim

    Computer Vision

    日本大学: 関与なし(対象大学)

  90. 2021 · ICCV

    CaT: Weakly Supervised Object Detection With Category Transfer

    Tianyue Cao, Lianyu Du, Xiaoyun Zhang, Siheng Chen, Ya Zhang, Yan-Feng Wang

    Computer Vision

    日本大学: 関与なし(対象大学)

  91. 2021 · ICCV

    Calibrated Adversarial Refinement for Stochastic Semantic Segmentation

    Elias Kassapis, Georgi Dikov, Deepak K. Gupta, Cedric Nugteren

    Computer Vision

    日本大学: 関与なし(対象大学)

  92. 2021 · ICCV

    Calibrated and Partially Calibrated Semi-Generalized Homographies

    Snehal Bhayani, Torsten Sattler, Daniel Barath, Patrik Beliansky, Janne Heikkilä, Zuzana Kukelova

    Computer Vision

    日本大学: 関与なし(対象大学)

  93. 2021 · ICCV

    Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images

    Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang, Cihang Xie, Quan Hung Tran, Benjamin Van Durme, Alan Yuille

    Computer Vision

    日本大学: 関与なし(対象大学)

  94. 2021 · ICCV

    Camera Distortion-Aware 3D Human Pose Estimation in Video With Optimization-Based Meta-Learning

    Hanbyel Cho, Yooshin Cho, Jaemyung Yu, Junmo Kim

    Computer Vision

    日本大学: 関与なし(対象大学)

  95. 2021 · ICCV

    Can Scale-Consistent Monocular Depth Be Learned in a Self-Supervised Scale-Invariant Manner?

    Lijun Wang, Yifan Wang, Linzhao Wang, Yunlong Zhan, Ying Wang, Huchuan Lu

    Computer Vision

    日本大学: 関与なし(対象大学)

  96. 2021 · ICCV

    Can Shape Structure Features Improve Model Robustness Under Diverse Adversarial Settings?

    Mingjie Sun, Zichao Li, Chaowei Xiao, Haonan Qiu, Bhavya Kailkhura, Mingyan Liu, Bo Li

    Computer Vision

    日本大学: 関与なし(対象大学)

  97. 2021 · ICCV

    CanvasVAE: Learning To Generate Vector Graphic Documents

    Kota Yamaguchi

    Computer Vision

    日本大学: 関与なし(対象大学)

  98. 2021 · ICCV

    Cascade Image Matting With Deformable Graph Refinement

    Zijian Yu, Xuhui Li, Huijuan Huang, Wen Zheng, Li Chen

    Computer Vision

    日本大学: 関与なし(対象大学)

  99. 2021 · ICCV

    Causal Attention for Unbiased Visual Recognition

    Tan Wang, Chang Zhou, Qianru Sun, Hanwang Zhang

    Computer Vision

    日本大学: 関与なし(対象大学)

  100. 2021 · ICCV

    Change Is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery

    Zhuo Zheng, Ailong Ma, Liangpei Zhang, Yanfei Zhong

    Computer Vision

    日本大学: 関与なし(対象大学)