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

    Learning To Drive From a World on Rails

    Dian Chen, Vladlen Koltun, Philipp Krähenbühl

    Computer Vision

    日本大学: 関与なし(対象大学)

  2. 2021 · ICCV

    Learning To Estimate Hidden Motions With Global Motion Aggregation

    Shihao Jiang, Dylan Campbell, Yao Lu, Hongdong Li, Richard Hartley

    Computer Vision

    日本大学: 関与なし(対象大学)

  3. 2021 · ICCV

    Learning To Generate Scene Graph From Natural Language Supervision

    Yiwu Zhong, Jing Shi, Jianwei Yang, Chenliang Xu, Yin Li

    Computer Vision

    日本大学: 関与なし(対象大学)

  4. 2021 · ICCV

    Learning To Hallucinate Examples From Extrinsic and Intrinsic Supervision

    Liangke Gui, Adrien Bardes, Ruslan Salakhutdinov, Alexander Hauptmann, Martial Hebert, Yu-Xiong Wang

    Computer Vision

    日本大学: 関与なし(対象大学)

  5. 2021 · ICCV

    Learning To Know Where To See: A Visibility-Aware Approach for Occluded Person Re-Identification

    Jinrui Yang, Jiawei Zhang, Fufu Yu, Xinyang Jiang, Mengdan Zhang, Xing Sun, Ying-Cong Chen, Wei-Shi Zheng

    Computer Vision

    日本大学: 関与なし(対象大学)

  6. 2021 · ICCV

    Learning To Match Features With Seeded Graph Matching Network

    Hongkai Chen, Zixin Luo, Jiahui Zhang, Lei Zhou, Xuyang Bai, Zeyu Hu, Chiew-Lan Tai, Long Quan

    Computer Vision

    日本大学: 関与なし(対象大学)

  7. 2021 · ICCV

    Learning To Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data

    Abdullah Abuolaim, Mauricio Delbracio, Damien Kelly, Michael S. Brown, Peyman Milanfar

    Computer Vision

    日本大学: 関与なし(対象大学)

  8. 2021 · ICCV

    Learning To Regress Bodies From Images Using Differentiable Semantic Rendering

    Sai Kumar Dwivedi, Nikos Athanasiou, Muhammed Kocabas, Michael J. Black

    Computer Vision

    日本大学: 関与なし(対象大学)

  9. 2021 · ICCV

    Learning To Remove Refractive Distortions From Underwater Images

    Simron Thapa, Nianyi Li, Jinwei Ye

    Computer Vision

    日本大学: 関与なし(対象大学)

  10. 2021 · ICCV

    Learning To Resize Images for Computer Vision Tasks

    Hossein Talebi, Peyman Milanfar

    Computer Vision

    日本大学: 関与なし(対象大学)

  11. 2021 · ICCV

    Learning To Stylize Novel Views

    Hsin-Ping Huang, Hung-Yu Tseng, Saurabh Saini, Maneesh Singh, Ming-Hsuan Yang

    Computer Vision

    日本大学: 関与なし(対象大学)

  12. 2021 · ICCV

    Learning To Track Objects From Unlabeled Videos

    Jilai Zheng, Chao Ma, Houwen Peng, Xiaokang Yang

    Computer Vision

    日本大学: 関与なし(対象大学)

  13. 2021 · ICCV

    Learning To Track With Object Permanence

    Pavel Tokmakov, Jie Li, Wolfram Burgard, Adrien Gaidon

    Computer Vision

    日本大学: 関与なし(対象大学)

  14. 2021 · ICCV

    Learning Unsupervised Metaformer for Anomaly Detection

    Jhih-Ciang Wu, Ding-Jie Chen, Chiou-Shann Fuh, Tyng-Luh Liu

    Computer Vision

    日本大学: 関与なし(対象大学)

  15. 2021 · ICCV

    Learning With Memory-Based Virtual Classes for Deep Metric Learning

    Byungsoo Ko, Geonmo Gu, Han-Gyu Kim

    Computer Vision

    日本大学: 関与なし(対象大学)

  16. 2021 · ICCV

    Learning With Noisy Labels for Robust Point Cloud Segmentation

    Shuquan Ye, Dongdong Chen, Songfang Han, Jing Liao

    Computer Vision

    日本大学: 関与なし(対象大学)

  17. 2021 · ICCV

    Learning With Noisy Labels via Sparse Regularization

    Xiong Zhou, Xianming Liu, Chenyang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji

    Computer Vision

    日本大学: 関与なし(対象大学)

  18. 2021 · ICCV

    Learning With Privileged Tasks

    Yuru Song, Zan Lou, Shan You, Erkun Yang, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang

    Computer Vision

    日本大学: 関与なし(対象大学)

  19. 2021 · ICCV

    Learning a Single Network for Scale-Arbitrary Super-Resolution

    Longguang Wang, Yingqian Wang, Zaiping Lin, Jungang Yang, Wei An, Yulan Guo

    Computer Vision

    日本大学: 関与なし(対象大学)

  20. 2021 · ICCV

    Learning a Sketch Tensor Space for Image Inpainting of Man-Made Scenes

    Chenjie Cao, Yanwei Fu

    Computer Vision

    日本大学: 関与なし(対象大学)

  21. 2021 · ICCV

    Learning an Augmented RGB Representation With Cross-Modal Knowledge Distillation for Action Detection

    Rui Dai, Srijan Das, François Bremond

    Computer Vision

    日本大学: 関与なし(対象大学)

  22. 2021 · ICCV

    Learning by Aligning: Visible-Infrared Person Re-Identification Using Cross-Modal Correspondences

    Hyunjong Park, Sanghoon Lee, Junghyup Lee, Bumsub Ham

    Computer Vision

    日本大学: 関与なし(対象大学)

  23. 2021 · ICCV

    Learning of Visual Relations: The Devil Is in the Tails

    Alakh Desai, Tz-Ying Wu, Subarna Tripathi, Nuno Vasconcelos

    Computer Vision

    日本大学: 関与なし(対象大学)

  24. 2021 · ICCV

    Let's See Clearly: Contaminant Artifact Removal for Moving Cameras

    Xiaoyu Li, Bo Zhang, Jing Liao, Pedro V. Sander

    Computer Vision

    日本大学: 関与なし(対象大学)

  25. 2021 · ICCV

    Leveraging Auxiliary Tasks With Affinity Learning for Weakly Supervised Semantic Segmentation

    Lian Xu, Wanli Ouyang, Mohammed Bennamoun, Farid Boussaid, Ferdous Sohel, Dan Xu

    Computer Vision

    日本大学: 関与なし(対象大学)

  26. 2021 · ICCV

    Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process

    Fei Ye, Adrian G. Bors

    Computer Vision

    日本大学: 関与なし(対象大学)

  27. 2021 · ICCV

    Light Field Saliency Detection With Dual Local Graph Learning and Reciprocative Guidance

    Nian Liu, Wangbo Zhao, Dingwen Zhang, Junwei Han, Ling Shao

    Computer Vision

    日本大学: 関与なし(対象大学)

  28. 2021 · ICCV

    Light Source Guided Single-Image Flare Removal From Unpaired Data

    Xiaotian Qiao, Gerhard P. Hancke, Rynson W.H. Lau

    Computer Vision

    日本大学: 関与なし(対象大学)

  29. 2021 · ICCV

    Lightweight Multi-Person Total Motion Capture Using Sparse Multi-View Cameras

    Yuxiang Zhang, Zhe Li, Liang An, Mengcheng Li, Tao Yu, Yebin Liu

    Computer Vision

    日本大学: 関与なし(対象大学)

  30. 2021 · ICCV

    Likelihood-Based Diverse Sampling for Trajectory Forecasting

    Yecheng Jason Ma, Jeevana Priya Inala, Dinesh Jayaraman, Osbert Bastani

    Computer Vision

    日本大学: 関与なし(対象大学)

  31. 2021 · ICCV

    Linguistically Routing Capsule Network for Out-of-Distribution Visual Question Answering

    Qingxing Cao, Wentao Wan, Keze Wang, Xiaodan Liang, Liang Lin

    Computer Vision

    日本大学: 関与なし(対象大学)

  32. 2021 · ICCV

    Lipschitz Continuity Guided Knowledge Distillation

    Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan

    Computer Vision

    日本大学: 関与なし(対象大学)

  33. 2021 · ICCV

    LoFGAN: Fusing Local Representations for Few-Shot Image Generation

    Zheng Gu, Wenbin Li, Jing Huo, Lei Wang, Yang Gao

    Computer Vision

    日本大学: 関与なし(対象大学)

  34. 2021 · ICCV

    LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning

    Bhavya Vasudeva, Puneesh Deora, Saumik Bhattacharya, Umapada Pal, Sukalpa Chanda

    Computer Vision

    日本大学: 関与なし(対象大学)

  35. 2021 · ICCV

    LocTex: Learning Data-Efficient Visual Representations From Localized Textual Supervision

    Zhijian Liu, Simon Stent, Jie Li, John Gideon, Song Han

    Computer Vision

    日本大学: 関与なし(対象大学)

  36. 2021 · ICCV

    Local Temperature Scaling for Probability Calibration

    Zhipeng Ding, Xu Han, Peirong Liu, Marc Niethammer

    Computer Vision

    日本大学: 関与なし(対象大学)

  37. 2021 · ICCV

    LocalTrans: A Multiscale Local Transformer Network for Cross-Resolution Homography Estimation

    Ruizhi Shao, Gaochang Wu, Yuemei Zhou, Ying Fu, Lu Fang, Yebin Liu

    Computer Vision

    日本大学: 関与なし(対象大学)

  38. 2021 · ICCV

    Localize to Binauralize: Audio Spatialization From Visual Sound Source Localization

    Kranthi Kumar Rachavarapu, Aakanksha, Vignesh Sundaresha, A. N. Rajagopalan

    Computer Vision

    日本大学: 関与なし(対象大学)

  39. 2021 · ICCV

    Localized Simple Multiple Kernel K-Means

    Xinwang Liu, Sihang Zhou, Li Liu, Chang Tang, Siwei Wang, Jiyuan Liu, Yi Zhang

    Computer Vision

    日本大学: 関与なし(対象大学)

  40. 2021 · ICCV

    Location-Aware Single Image Reflection Removal

    Zheng Dong, Ke Xu, Yin Yang, Hujun Bao, Weiwei Xu, Rynson W.H. Lau

    Computer Vision

    日本大学: 関与なし(対象大学)

  41. 2021 · ICCV

    Long Short View Feature Decomposition via Contrastive Video Representation Learning

    Nadine Behrmann, Mohsen Fayyaz, Juergen Gall, Mehdi Noroozi

    Computer Vision

    日本大学: 関与なし(対象大学)

  42. 2021 · ICCV

    Long-Term Temporally Consistent Unpaired Video Translation From Simulated Surgical 3D Data

    Dominik Rivoir, Micha Pfeiffer, Reuben Docea, Fiona Kolbinger, Carina Riediger, Jürgen Weitz, Stefanie Speidel

    Computer Vision

    日本大学: 関与なし(対象大学)

  43. 2021 · ICCV

    LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving

    Alexander Cui, Sergio Casas, Abbas Sadat, Renjie Liao, Raquel Urtasun

    Computer Vision

    日本大学: 関与なし(対象大学)

  44. 2021 · ICCV

    Looking Here or There? Gaze Following in 360-Degree Images

    Yunhao Li, Wei Shen, Zhongpai Gao, Yucheng Zhu, Guangtao Zhai, Guodong Guo

    Computer Vision

    日本大学: 関与なし(対象大学)

  45. 2021 · ICCV

    Low Curvature Activations Reduce Overfitting in Adversarial Training

    Vasu Singla, Sahil Singla, Soheil Feizi, David Jacobs

    Computer Vision

    日本大学: 関与なし(対象大学)

  46. 2021 · ICCV

    Low-Rank Tensor Completion by Approximating the Tensor Average Rank

    Zhanliang Wang, Junyu Dong, Xinguo Liu, Xueying Zeng

    Computer Vision

    日本大学: 関与なし(対象大学)

  47. 2021 · ICCV

    Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories

    Fait Poms, Vishnu Sarukkai, Ravi Teja Mullapudi, Nimit S. Sohoni, William R. Mark, Deva Ramanan, Kayvon Fatahalian

    Computer Vision

    日本大学: 関与なし(対象大学)

  48. 2021 · ICCV

    Lucas-Kanade Reloaded: End-to-End Super-Resolution From Raw Image Bursts

    Bruno Lecouat, Jean Ponce, Julien Mairal

    Computer Vision

    日本大学: 関与なし(対象大学)

  49. 2021 · ICCV

    M3D-VTON: A Monocular-to-3D Virtual Try-On Network

    Fuwei Zhao, Zhenyu Xie, Michael Kampffmeyer, Haoye Dong, Songfang Han, Tianxiang Zheng, Tao Zhang, Xiaodan Liang

    Computer Vision

    日本大学: 関与なし(対象大学)

  50. 2021 · ICCV

    MAAS: Multi-Modal Assignation for Active Speaker Detection

    Juan Léon Alcázar, Fabian Caba, Ali K. Thabet, Bernard Ghanem

    Computer Vision

    日本大学: 関与なし(対象大学)

  51. 2021 · ICCV

    MBA-VO: Motion Blur Aware Visual Odometry

    Peidong Liu, Xingxing Zuo, Viktor Larsson, Marc Pollefeys

    Computer Vision

    日本大学: 関与なし(対象大学)

  52. 2021 · ICCV

    MDETR - Modulated Detection for End-to-End Multi-Modal Understanding

    Aishwarya Kamath, Mannat Singh, Yann LeCun, Gabriel Synnaeve, Ishan Misra, Nicolas Carion

    Computer Vision

    日本大学: 関与なし(対象大学)

  53. 2021 · ICCV

    ME-PCN: Point Completion Conditioned on Mask Emptiness

    Bingchen Gong, Yinyu Nie, Yiqun Lin, Xiaoguang Han, Yizhou Yu

    Computer Vision

    日本大学: 関与なし(対象大学)

  54. 2021 · ICCV

    MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning

    Sonia Baee, Erfan Pakdamanian, Inki Kim, Lu Feng, Vicente Ordonez, Laura Barnes

    Computer Vision

    日本大学: 関与なし(対象大学)

  55. 2021 · ICCV

    MFNet: Multi-Filter Directive Network for Weakly Supervised Salient Object Detection

    Yongri Piao, Jian Wang, Miao Zhang, Huchuan Lu

    Computer Vision

    日本大学: 関与なし(対象大学)

  56. 2021 · ICCV

    MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction

    Patrick Dendorfer, Sven Elflein, Laura Leal-Taixé

    Computer Vision

    日本大学: 関与なし(対象大学)

  57. 2021 · ICCV

    MGNet: Monocular Geometric Scene Understanding for Autonomous Driving

    Markus Schön, Michael Buchholz, Klaus Dietmayer

    Computer Vision

    日本大学: 関与なし(対象大学)

  58. 2021 · ICCV

    MGSampler: An Explainable Sampling Strategy for Video Action Recognition

    Yuan Zhi, Zhan Tong, Limin Wang, Gangshan Wu

    Computer Vision

    日本大学: 関与なし(対象大学)

  59. 2021 · ICCV

    MINE: Towards Continuous Depth MPI With NeRF for Novel View Synthesis

    Jiaxin Li, Zijian Feng, Qi She, Henghui Ding, Changhu Wang, Gim Hee Lee

    Computer Vision

    日本大学: 関与なし(対象大学)

  60. 2021 · ICCV

    MLVSNet: Multi-Level Voting Siamese Network for 3D Visual Tracking

    Zhoutao Wang, Qian Xie, Yu-Kun Lai, Jing Wu, Kun Long, Jun Wang

    Computer Vision

    日本大学: 関与なし(対象大学)

  61. 2021 · ICCV

    MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?

    Matteo Fabbri, Guillem Brasó, Gianluca Maugeri, Orcun Cetintas, Riccardo Gasparini, Aljoša Ošep, Simone Calderara, Laura Leal-Taixé, Rita Cucchiara

    Computer Vision

    日本大学: 関与なし(対象大学)

  62. 2021 · ICCV

    MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction

    Lingwei Dang, Yongwei Nie, Chengjiang Long, Qing Zhang, Guiqing Li

    Computer Vision

    日本大学: 関与なし(対象大学)

  63. 2021 · ICCV

    MT-ORL: Multi-Task Occlusion Relationship Learning

    Panhe Feng, Qi She, Lei Zhu, Jiaxin Li, Lin Zhang, Zijian Feng, Changhu Wang, Chunpeng Li, Xuejing Kang, Anlong Ming

    Computer Vision

    日本大学: 関与なし(対象大学)

  64. 2021 · ICCV

    MUSIQ: Multi-Scale Image Quality Transformer

    Junjie Ke, Qifei Wang, Yilin Wang, Peyman Milanfar, Feng Yang

    Computer Vision

    日本大学: 関与なし(対象大学)

  65. 2021 · ICCV

    MVSNeRF: Fast Generalizable Radiance Field Reconstruction From Multi-View Stereo

    Anpei Chen, Zexiang Xu, Fuqiang Zhao, Xiaoshuai Zhang, Fanbo Xiang, Jingyi Yu, Hao Su

    Computer Vision

    日本大学: 関与なし(対象大学)

  66. 2021 · ICCV

    MVTN: Multi-View Transformation Network for 3D Shape Recognition

    Abdullah Hamdi, Silvio Giancola, Bernard Ghanem

    Computer Vision

    日本大学: 関与なし(対象大学)

  67. 2021 · ICCV

    Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths

    Andrea Hornakova, Timo Kaiser, Paul Swoboda, Michal Rolinek, Bodo Rosenhahn, Roberto Henschel

    Computer Vision

    日本大学: 関与なし(対象大学)

  68. 2021 · ICCV

    Manifold Alignment for Semantically Aligned Style Transfer

    Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao

    Computer Vision

    日本大学: 関与なし(対象大学)

  69. 2021 · ICCV

    Manifold Matching via Deep Metric Learning for Generative Modeling

    Mengyu Dai, Haibin Hang

    Computer Vision

    日本大学: 関与なし(対象大学)

  70. 2021 · ICCV

    Matching in the Dark: A Dataset for Matching Image Pairs of Low-Light Scenes

    Wenzheng Song, Masanori Suganuma, Xing Liu, Noriyuki Shimobayashi, Daisuke Maruta, Takayuki Okatani

    Computer Vision

    日本大学: 東北大学

  71. 2021 · ICCV

    Me-Momentum: Extracting Hard Confident Examples From Noisily Labeled Data

    Yingbin Bai, Tongliang Liu

    Computer Vision

    日本大学: 関与なし(対象大学)

  72. 2021 · ICCV

    Mean Shift for Self-Supervised Learning

    Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash

    Computer Vision

    日本大学: 関与なし(対象大学)

  73. 2021 · ICCV

    Membership Inference Attacks Are Easier on Difficult Problems

    Avital Shafran, Shmuel Peleg, Yedid Hoshen

    Computer Vision

    日本大学: 関与なし(対象大学)

  74. 2021 · ICCV

    Memory-Augmented Dynamic Neural Relational Inference

    Dong Gong, Frederic Z. Zhang, Javen Qinfeng Shi, Anton van den Hengel

    Computer Vision

    日本大学: 関与なし(対象大学)

  75. 2021 · ICCV

    Mesh Graphormer

    Kevin Lin, Lijuan Wang, Zicheng Liu

    Computer Vision

    日本大学: 関与なし(対象大学)

  76. 2021 · ICCV

    MeshTalk: 3D Face Animation From Speech Using Cross-Modality Disentanglement

    Alexander Richard, Michael Zollhöfer, Yandong Wen, Fernando de la Torre, Yaser Sheikh

    Computer Vision

    日本大学: 関与なし(対象大学)

  77. 2021 · ICCV

    Meta Gradient Adversarial Attack

    Zheng Yuan, Jie Zhang, Yunpei Jia, Chuanqi Tan, Tao Xue, Shiguang Shan

    Computer Vision

    日本大学: 関与なし(対象大学)

  78. 2021 · ICCV

    Meta Learning on a Sequence of Imbalanced Domains With Difficulty Awareness

    Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao

    Computer Vision

    日本大学: 関与なし(対象大学)

  79. 2021 · ICCV

    Meta Navigator: Search for a Good Adaptation Policy for Few-Shot Learning

    Chi Zhang, Henghui Ding, Guosheng Lin, Ruibo Li, Changhu Wang, Chunhua Shen

    Computer Vision

    日本大学: 関与なし(対象大学)

  80. 2021 · ICCV

    Meta Pairwise Relationship Distillation for Unsupervised Person Re-Identification

    Haoxuanye Ji, Le Wang, Sanping Zhou, Wei Tang, Nanning Zheng, Gang Hua

    Computer Vision

    日本大学: 関与なし(対象大学)

  81. 2021 · ICCV

    Meta-Aggregator: Learning To Aggregate for 1-Bit Graph Neural Networks

    Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao

    Computer Vision

    日本大学: 関与なし(対象大学)

  82. 2021 · ICCV

    Meta-Attack: Class-Agnostic and Model-Agnostic Physical Adversarial Attack

    Weiwei Feng, Baoyuan Wu, Tianzhu Zhang, Yong Zhang, Yongdong Zhang

    Computer Vision

    日本大学: 関与なし(対象大学)

  83. 2021 · ICCV

    Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning

    Yinbo Chen, Zhuang Liu, Huijuan Xu, Trevor Darrell, Xiaolong Wang

    Computer Vision

    日本大学: 関与なし(対象大学)

  84. 2021 · ICCV

    Meta-Learning With Task-Adaptive Loss Function for Few-Shot Learning

    Sungyong Baik, Janghoon Choi, Heewon Kim, Dohee Cho, Jaesik Min, Kyoung Mu Lee

    Computer Vision

    日本大学: 関与なし(対象大学)

  85. 2021 · ICCV

    MicroNet: Improving Image Recognition With Extremely Low FLOPs

    Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Lei Zhang, Nuno Vasconcelos

    Computer Vision

    日本大学: 関与なし(対象大学)

  86. 2021 · ICCV

    Minimal Adversarial Examples for Deep Learning on 3D Point Clouds

    Jaeyeon Kim, Binh-Son Hua, Thanh Nguyen, Sai-Kit Yeung

    Computer Vision

    日本大学: 関与なし(対象大学)

  87. 2021 · ICCV

    Minimal Cases for Computing the Generalized Relative Pose Using Affine Correspondences

    Banglei Guan, Ji Zhao, Daniel Barath, Friedrich Fraundorfer

    Computer Vision

    日本大学: 関与なし(対象大学)

  88. 2021 · ICCV

    Minimal Solutions for Panoramic Stitching Given Gravity Prior

    Yaqing Ding, Daniel Barath, Zuzana Kukelova

    Computer Vision

    日本大学: 関与なし(対象大学)

  89. 2021 · ICCV

    Mining Contextual Information Beyond Image for Semantic Segmentation

    Zhenchao Jin, Tao Gong, Dongdong Yu, Qi Chu, Jian Wang, Changhu Wang, Jie Shao

    Computer Vision

    日本大学: 関与なし(対象大学)

  90. 2021 · ICCV

    Mining Latent Classes for Few-Shot Segmentation

    Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao

    Computer Vision

    日本大学: 関与なし(対象大学)

  91. 2021 · ICCV

    Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields

    Jonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, Pratul P. Srinivasan

    Computer Vision

    日本大学: 関与なし(対象大学)

  92. 2021 · ICCV

    Mitigating Intensity Bias in Shadow Detection via Feature Decomposition and Reweighting

    Lei Zhu, Ke Xu, Zhanghan Ke, Rynson W.H. Lau

    Computer Vision

    日本大学: 関与なし(対象大学)

  93. 2021 · ICCV

    MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing

    Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Xin Dong, Fengwei Yu, Shaoqing Lu, Shi Gu

    Computer Vision

    日本大学: 関与なし(対象大学)

  94. 2021 · ICCV

    MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks

    Alexandre Ramé, Rémy Sun, Matthieu Cord

    Computer Vision

    日本大学: 関与なし(対象大学)

  95. 2021 · ICCV

    Mixed SIGNals: Sign Language Production via a Mixture of Motion Primitives

    Ben Saunders, Necati Cihan Camgoz, Richard Bowden

    Computer Vision

    日本大学: 関与なし(対象大学)

  96. 2021 · ICCV

    Mixture-Based Feature Space Learning for Few-Shot Image Classification

    Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné

    Computer Vision

    日本大学: 関与なし(対象大学)

  97. 2021 · ICCV

    Modelling Neighbor Relation in Joint Space-Time Graph for Video Correspondence Learning

    Zixu Zhao, Yueming Jin, Pheng-Ann Heng

    Computer Vision

    日本大学: 関与なし(対象大学)

  98. 2021 · ICCV

    Modulated Graph Convolutional Network for 3D Human Pose Estimation

    Zhiming Zou, Wei Tang

    Computer Vision

    日本大学: 関与なし(対象大学)

  99. 2021 · ICCV

    Modulated Periodic Activations for Generalizable Local Functional Representations

    Ishit Mehta, Michaël Gharbi, Connelly Barnes, Eli Shechtman, Ravi Ramamoorthi, Manmohan Chandraker

    Computer Vision

    日本大学: 関与なし(対象大学)

  100. 2021 · ICCV

    MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments

    Pan Ji, Runze Li, Bir Bhanu, Yi Xu

    Computer Vision

    日本大学: 関与なし(対象大学)