Presentation Schedule
All times are in Central time zone
Date: Wednesday, June 22, 2022 1:30PM – 3:00PM
Session Title: Transfer / Low-Shot / Long-Tail Learning
Session Chairs: Lorenzo Torresani (Dartmouth College), Mei Chen (Microsoft), Ehsan Adeli (Stanford Univ.)
| Poster ID | Title | Authors |
| 1b | Balanced MSE for Imbalanced Visual Regression |
Jiawei Ren; Mingyuan Zhang; Cunjun Yu; Ziwei Liu |
| 2b | Transferability Metrics for Selecting Source Model Ensembles |
Andrea Agostinelli; Jasper Uijlings; Thomas Mensink; Vittorio Ferrari |
| 3b | OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization |
Nanyang Ye; Kaican Li; Haoyue Bai; Runpeng Yu; Lanqing Hong; Fengwei Zhou; Zhenguo Li; Jun Zhu |
| 4b | Robust Fine-Tuning of Zero-Shot Models |
Mitchell Wortsman; Gabriel Ilharco; Jong Wook Kim; Mike Li; Simon Kornblith; Rebecca Roelofs; Raphael Gontijo Lopes; Hannaneh Hajishirzi; Ali Farhadi; Hongseok Namkoong; Ludwig Schmidt |
| 5b | Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification |
Jiangtao Xie; Fei Long; Jiaming Lv; Qilong Wang; Peihua Li |
| 6b | Learning To Learn and Remember Super Long Multi-Domain Task Sequence |
Zhenyi Wang; Li Shen; Tiehang Duan; Donglin Zhan; Le Fang; Mingchen Gao |
| 7b | Learning Distinctive Margin Toward Active Domain Adaptation |
Ming Xie; Yuxi Li; Yabiao Wang; Zekun Luo; Zhenye Gan; Zhongyi Sun; Mingmin Chi; Chengjie Wang; Pei Wang |
| 8b | DINE: Domain Adaptation From Single and Multiple Black-Box Predictors | Jian Liang; Dapeng Hu; Jiashi Feng; Ran He |
| 9b | Source-Free Object Detection by Learning To Overlook Domain Style |
Shuaifeng Li; Mao Ye; Xiatian Zhu; Lihua Zhou; Lin Xiong |
| 10b | Towards Principled Disentanglement for Domain Generalization |
Hanlin Zhang; Yi-Fan Zhang; Weiyang Liu; Adrian Weller; Bernhard Schölkopf; Eric P. Xing |
| 11b | Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization |
Yabin Zhang; Minghan Li; Ruihuang Li; Kui Jia; Lei Zhang |
| 12b | Causality Inspired Representation Learning for Domain Generalization |
Fangrui Lv; Jian Liang; Shuang Li; Bin Zang; Chi Harold Liu; Ziteng Wang; Di Liu |
| 13b | Learning What Not To Segment: A New Perspective on Few-Shot Segmentation |
Chunbo Lang; Gong Cheng; Binfei Tu; Junwei Han |
| 14b | Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation |
Binhui Xie; Longhui Yuan; Shuang Li; Chi Harold Liu; Xinjing Cheng |
| 15b | ADeLA: Automatic Dense Labeling With Attention for Viewpoint Shift in Semantic Segmentation |
Hanxiang Ren; Yanchao Yang; He Wang; Bokui Shen; Qingnan Fan; Youyi Zheng; C. Karen Liu; Leonidas J. Guibas |
Date: Wednesday, June 22, 2022 1:30PM – 3:00PM
Session Title: Motion, Tracking, Registration, Vision & X, and Theory
Session Chairs: Fuxin Li (Oregon State Univ.), Hamid Rezatofighi (Monash Univ.), Vincent Lepetit (Université de Bordeaux)
| Poster ID | Title | Authors |
| 16b | MeMOT: Multi-Object Tracking With Memory |
Jiarui Cai; Mingze Xu; Wei Li; Yuanjun Xiong; Wei Xia; Zhuowen Tu; Stefano Soatto |
| 17b | Unsupervised Learning of Accurate Siamese Tracking |
Qiuhong Shen; Lei Qiao; Jinyang Guo; Peixia Li; Xin Li; Bo Li; Weitao Feng; Weihao Gan; Wei Wu; Wanli Ouyang |
| 18b | Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds |
Chaoda Zheng; Xu Yan; Haiming Zhang; Baoyuan Wang; Shenghui Cheng; Shuguang Cui; Zhen Li |
| 19b | GMFlow: Learning Optical Flow via Global Matching |
Haofei Xu; Jing Zhang; Jianfei Cai; Hamid Rezatofighi; Dacheng Tao |
| 20b | GridShift: A Faster Mode-Seeking Algorithm for Image Segmentation and Object Tracking |
Abhishek Kumar; Oladayo S. Ajani; Swagatam Das; Rammohan Mallipeddi |
| 21b | SNUG: Self-Supervised Neural Dynamic Garments |
Igor Santesteban; Miguel A. Otaduy; Dan Casas |
| 22b | Weakly-Supervised Action Transition Learning for Stochastic Human Motion Prediction |
Wei Mao; Miaomiao Liu; Mathieu Salzmann |
| 23b | Multi-Objective Diverse Human Motion Prediction With Knowledge Distillation |
Hengbo Ma; Jiachen Li; Ramtin Hosseini; Masayoshi Tomizuka; Chiho Choi |
| 24b | Context-Aware Sequence Alignment Using 4D Skeletal Augmentation |
Taein Kwon; Bugra Tekin; Siyu Tang; Marc Pollefeys |
| 25b | Enabling Equivariance for Arbitrary Lie Groups |
Lachlan E. MacDonald; Sameera Ramasinghe; Simon Lucey |
| 26b | RAMA: A Rapid Multicut Algorithm on GPU | Ahmed Abbas; Paul Swoboda |
| 27b | Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks | Peri Akiva; Matthew Purri; Matthew Leotta |
| 28b | RCP: Recurrent Closest Point for Point Cloud |
Xiaodong Gu; Chengzhou Tang; Weihao Yuan; Zuozhuo Dai; Siyu Zhu; Ping Tan |
| 29b | Audio-Visual Speech Codecs: Rethinking Audio-Visual Speech Enhancement by Re-Synthesis |
Karren Yang; Dejan Marković; Steven Krenn; Vasu Agrawal; Alexander Richard |
| 30b | Balanced Multimodal Learning via On-the-Fly Gradient Modulation |
Xiaokang Peng; Yake Wei; Andong Deng; Dong Wang; Di Hu |
Date: Wednesday, June 22, 2022 1:30PM – 3:00PM
Session Title: 3D from Multiview & Sensors, Learning for Vision, Explainable Vision, and Privacy
Session Chairs: Bolei Zhou (CUHK), Marc Pollefeys (ETH Zurich; Microsoft)
| Session Title | Session Chairs | Poster ID | Title | Authors |
| 3D from Multiview & Sensors, Learning for Vision, Explainable Vision, and Privacy | Bolei Zhou (CUHK) | 31b | Block-NeRF: Scalable Large Scene Neural View Synthesis |
Matthew Tancik; Vincent Casser; Xinchen Yan; Sabeek Pradhan; Ben Mildenhall; Pratul P. Srinivasan; Jonathan T. Barron; Henrik Kretzschmar |
| Marc Pollefeys (ETH Zurich; Microsoft) | 32b | SceneSqueezer: Learning To Compress Scene for Camera Relocalization |
Luwei Yang; Rakesh Shrestha; Wenbo Li; Shuaicheng Liu; Guofeng Zhang; Zhaopeng Cui; Ping Tan |
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33b | Light Field Neural Rendering |
Mohammed Suhail; Carlos Esteves; Leonid Sigal; Ameesh Makadia |
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| 34b | Extracting Triangular 3D Models, Materials, and Lighting From Images |
Jacob Munkberg; Jon Hasselgren; Tianchang Shen; Jun Gao; Wenzheng Chen; Alex Evans; Thomas Müller; Sanja Fidler |
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| 35b | Super-Fibonacci Spirals: Fast, Low-Discrepancy Sampling of SO(3) | Marc Alexa | ||
| 36b | Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models |
Feng Cheng; Mingze Xu; Yuanjun Xiong; Hao Chen; Xinyu Li; Wei Li; Wei Xia |
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| 37b | It’s All in the Teacher: Zero-Shot Quantization Brought Closer to the Teacher |
Kanghyun Choi; Hye Yoon Lee; Deokki Hong; Joonsang Yu; Noseong Park; Youngsok Kim; Jinho Lee |
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| 38b | NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks |
Fawaz Sammani; Tanmoy Mukherjee; Nikos Deligiannis |
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| 39b | Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention | Yu Yang; Seungbae Kim; Jungseock Joo | ||
| 40b | Parameter-Free Online Test-Time Adaptation |
Malik Boudiaf; Romain Mueller; Ismail Ben Ayed; Luca Bertinetto |
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| 41b | Patch-Level Representation Learning for Self-Supervised Vision Transformers |
Sukmin Yun; Hankook Lee; Jaehyung Kim; Jinwoo Shin |
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| 42b | Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization |
Luke Melas-Kyriazi; Christian Rupprecht; Iro Laina; Andrea Vedaldi |
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| 43b | Mixed Differential Privacy in Computer Vision |
Aditya Golatkar; Alessandro Achille; Yu-Xiang Wang; Aaron Roth; Michael Kearns; Stefano Soatto |
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| 44b | DPGEN: Differentially Private Generative Energy-Guided Network for Natural Image Synthesis |
Jia-Wei Chen; Chia-Mu Yu; Ching-Chia Kao; Tzai-Wei Pang; Chun-Shien Lu |
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| 45b | Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning |
Matias Mendieta; Taojiannan Yang; Pu Wang; Minwoo Lee; Zhengming Ding; Chen Chen |