ECCV 2022

1,645 papers

Self-Supervised Social Relation Representation for Human Group Detection

Jiacheng Li, Ruize Han, Haomin Yan, Zekun Qian, Wei Feng

Asymmetric Relation Consistency Reasoning for Video Relation Grounding

Huan Li, Ping Wei, Jiapeng Li, Zeyu Ma, Jiahui Shang

Prompting Visual-Language Models for Efficient Video Understanding

Chen Ju, Tengda Han, Kunhao Zheng, Ya Zhang, Weidi Xie

Long Movie Clip Classification with State-Space Video Models

Md Mohaiminul Islam, Gedas Bertasius

Efficient Video Transformers with Spatial-Temporal Token Selection

Junke Wang, Xitong Yang, Hengduo Li, Li Liu, Zuxuan Wu

Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation

Nadine Behrmann, S. Alireza Golestaneh, Zico Kolter, Jürgen Gall, Mehdi Noroozi

"Spotting Temporally Precise, Fine-Grained Events in Video"

James Hong, Haotian Zhang, MICHAEL GHARBI, Matthew Fisher, Kayvon Fatahalian

Leveraging Action Affinity and Continuity for Semi-Supervised Temporal Action Segmentation

Guodong Ding, Angela Yao

Efficient One-Stage Video Object Detection by Exploiting Temporal Consistency

Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson

Temporal Saliency Query Network for Efficient Video Recognition

Boyang Xia, Zhihao Wang, Wenhao Wu, Haoran Wang, Jungong Han

Video Activity Localisation with Uncertainties in Temporal Boundary

Jiabo Huang, Hailin Jin, Shaogang Gong, Yang Liu

NSNet: Non-Saliency Suppression Sampler for Efficient Video Recognition

Boyang Xia, Wenhao Wu, Haoran Wang, Rui Su, Dongliang He

Dual Perspective Network for Audio-Visual Event Localization

Varshanth Rao, Md Ibrahim Khalil, Haoda Li, Peng Dai, Juwei Lu

ERA: Expert Retrieval and Assembly for Early Action Prediction

Lin Geng Foo, Tianjiao Li, Hossein Rahmani, Qiuhong Ke, Jun Liu

A Sliding Window Scheme for Online Temporal Action Localization

Young Hwi Kim, Hyolim Kang, Seon Joo Kim

How Severe Is Benchmark-Sensitivity in Video Self-Supervised Learning?

Fida Mohammad Thoker, Hazel Doughty, Piyush Bagad, Cees G. M. Snoek

PAC-Net: Highlight Your Video via History Preference Modeling

Hang Wang, Penghao Zhou, Chong Zhou, Zhao Zhang, Xing Sun

Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation

Gensheng Pei, Fumin Shen, Yazhou Yao, Guo-sen Xie, Zhenmin Tang

DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition

Yuxuan Liang, Pan Zhou, Roger Zimmermann, Shuicheng Yan

Rethinking Learning Approaches for Long-Term Action Anticipation

Megha Nawhal, Akash Abdu Jyothi, Greg Mori

TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency

Medhini Narasimhan, Arsha Nagrani, Chen Sun, Michael Rubinstein, Trevor Darrell

Mining Relations among Cross-Frame Affinities for Video Semantic Segmentation

Guolei Sun, Yun Liu, Hao Tang, Ajad Chhatkuli, Le Zhang

TALLFormer: Temporal Action Localization with a Long-Memory Transformer

Feng Cheng, Gedas Bertasius

Real-Time Online Video Detection with Temporal Smoothing Transformers

Yue Zhao, Philipp Krähenbühl

Adaptive Face Forgery Detection in Cross Domain

Luchuan Song, Zheng Fang, Xiaodan Li, Xiaoyi Dong, Zhenchao Jin

Less than Few: Self-Shot Video Instance Segmentation

Pengwan Yang, Yuki M. Asano, Pascal Mettes, Cees G. M. Snoek

Joint-Modal Label Denoising for Weakly-Supervised Audio-Visual Video Parsing

Haoyue Cheng, Zhaoyang Liu, Hang Zhou, Chen Qian, Wayne Wu

ECLIPSE: Efficient Long-Range Video Retrieval Using Sight and Sound

Yan-Bo Lin, Jie Lei, Mohit Bansal, Gedas Bertasius

Towards Open Set Video Anomaly Detection

Yuansheng Zhu, Wentao Bao, Qi Yu

Human Trajectory Prediction via Neural Social Physics

Jiangbei Yue, Dinesh Manocha, He Wang

An Efficient Spatio-Temporal Pyramid Transformer for Action Detection

Yuetian Weng, Zizheng Pan, Mingfei Han, Xiaojun Chang, Bohan Zhuang

ESS: Learning Event-Based Semantic Segmentation from Still Images

Zhaoning Sun, Nico Messikommer, Daniel Gehrig, Davide Scaramuzza

Attention Diversification for Domain Generalization

Rang Meng, Xianfeng Li, Weijie Chen, Shicai Yang, Jie Song

How Stable Are Transferability Metrics Evaluations?

Andrea Agostinelli, Michal Pándy, Jasper Uijlings, Thomas Mensink, Vittorio Ferrari

Not All Models Are Equal: Predicting Model Transferability in a Self-Challenging Fisher Space

Wenqi Shao, Xun Zhao, Yixiao Ge, Zhaoyang Zhang, Lei Yang

Personalized Education: Blind Knowledge Distillation

Xiang Deng, Jian Zheng, Zhongfei Zhang

PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks

Nan Ding, Xi Chen, Tomer Levinboim, Soravit Changpinyo, Radu Soricut

ML-BPM: Multi-Teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation

Fei Pan, Sungsu Hur, Seokju Lee, Junsik Kim, In So Kweon

DistPro: Searching a Fast Knowledge Distillation Process via Meta Optimization

Xueqing Deng, Dawei Sun, Shawn Newsam, Peng Wang

Incomplete Multi-View Domain Adaptation via Channel Enhancement and Knowledge Transfer

Haifeng Xia, Pu Wang, Zhengming Ding

Generalized Brain Image Synthesis with Transferable Convolutional Sparse Coding Networks

Yawen Huang, Feng Zheng, Xu Sun, Yuexiang Li, Ling Shao

BMD: A General Class-Balanced Multicentric Dynamic Prototype Strategy for Source-Free Domain Adaptation

Sanqing Qu, Guang Chen, Jing Zhang, Zhijun Li, Wei He

Source-Free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition

Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu

Online Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions

Theodoros Panagiotakopoulos, Pier Luigi Dovesi, Linus Harenstam-Nielsen, Matteo Poggi

Cross-Modal Knowledge Transfer without Task-Relevant Source Data

Sk Miraj Ahmed, Suhas Lohit, Kuan-Chuan Peng, Michael J. Jones, Amit K. Roy-Chowdhury

Contrastive Vicinal Space for Unsupervised Domain Adaptation

Jaemin Na, Dongyoon Han, Hyung Jin Chang, Wonjun Hwang

Factorizing Knowledge in Neural Networks

Xingyi Yang, Jingwen Ye, Xinchao Wang

RBC: Rectifying the Biased Context in Continual Semantic Segmentation

Hanbin Zhao, Fengyu Yang, Xinghe Fu, Xi Li

Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation

Zhengkai Jiang, Yuxi Li, Ceyuan Yang, peng gao, Yabiao Wang

TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation

Rui Gong, Martin Danelljan, Dengxin Dai, Danda Pani Paudel, Ajad Chhatkuli

Interpretable Open-Set Domain Adaptation via Angular Margin Separation

Xinhao Li, Jingjing Li, Zhekai Du, LEI ZHU, Wen Li

Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap

Yongwei Chen, Zihao Wang, Longkun Zou, Ke Chen, Kui Jia

Visual Prompt Tuning

Menglin Jia, Luming Tang, Bor-Chun Chen, Claire Cardie, Serge Belongie

Unsupervised Domain Adaptation for One-Stage Object Detector Using Offsets to Bounding Box

Jayeon Yoo, Inseop Chung, Nojun Kwak

AcroFOD: An Adaptive Method for Cross-Domain Few-Shot Object Detection

Yipeng Gao, Lingxiao Yang, Yunmu Huang, Song Xie, Shiyong Li

GCISG: Guided Causal Invariant Learning for Improved Syn-to-Real Generalization

Gilhyun Nam, Gyeongjae Choi, Kyungmin Lee

Prior Knowledge Guided Unsupervised Domain Adaptation

Tao Sun, Cheng Lu, Haibin Ling

A Broad Study of Pre-training for Domain Generalization and Adaptation

Donghyun Kim, Kaihong Wang, Stan Sclaroff, Kate Saenko

A Unified Framework for Domain Adaptive Pose Estimation

Donghyun Kim, Kaihong Wang, Kate Saenko, Margrit Betke, Stan Sclaroff

CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation

Cristiano Saltori, Fabio Galasso, Giuseppe Fiameni, Nicu Sebe, Elisa Ricci

GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation

Cristiano Saltori, Evgeny Krivosheev, Stéphane Lathuilière, Nicu Sebe, Fabio Galasso

Combating Label Distribution Shift for Active Domain Adaptation

SEHYUN HWANG, Sohyun Lee, Sungyeon Kim, Jungseul Ok, Suha Kwak

Adversarial Partial Domain Adaptation by Cycle Inconsistency

Kun-Yu Lin, Jiaming Zhou, Yukun Qiu, Wei-Shi Zheng

DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning

Hyounguk Shon, Janghyeon Lee, Seung Hwan Kim, Junmo Kim

Long-Tailed Class Incremental Learning

Xialei Liu, Yu-Song Hu, Xu-Sheng Cao, Andrew D. Bagdanov, Ke Li

RegionCL: Exploring Contrastive Region Pairs for Self-Supervised Representation Learning

Yufei Xu, Qiming ZHANG, Jing Zhang, Dacheng Tao

Learning Instance-Specific Adaptation for Cross-Domain Segmentation

Yuliang Zou, Zizhao Zhang, Chun-Liang Li, Han Zhang, Tomas Pfister

Improving Test-Time Adaptation via Shift-Agnostic Weight Regularization and Nearest Source Prototypes

Sungha Choi, Seunghan Yang, Seokeon Choi, Sungrack Yun

Mind the Gap in Distilling StyleGANs

Guodong Xu, Yuenan Hou, Ziwei Liu, Chen Change Loy

Burn after Reading: Online Adaptation for Cross-Domain Streaming Data

Luyu Yang, Mingfei Gao, Zeyuan Chen, Ran Xu, Abhinav Shrivastava

Class-Agnostic Object Counting Robust to Intraclass Diversity

Shenjian Gong, Shanshan Zhang, Jian Yang, Dengxin Dai, Bernt Schiele

DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation

Xin Lai, Zhuotao Tian, Xiaogang Xu, Yingcong Chen, Shu Liu

Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation

Hongbin Lin, Yifan Zhang, Zhen Qiu, Shuaicheng Niu, Chuang Gan

Unknown-Oriented Learning for Open Set Domain Adaptation

Jie Liu, Xiaoqing Guo, Yixuan Yuan

Class-Incremental Novel Class Discovery

Subhankar Roy, Mingxuan Liu, Zhun Zhong, Nicu Sebe, Elisa Ricci

Towards Learning Neural Representations from Shadows

Kushagra Tiwary, Tzofi Klinghoffer, Ramesh Raskar

Unbiased Gradient Estimation for Differentiable Surface Splatting via Poisson Sampling

Jan U. Müller, Michael Weinmann, Reinhard Klein

Gaussian Activated Neural Radiance Fields for High Fidelity Reconstruction & Pose Estimation

Shin-Fang Chng, Sameera Ramasinghe, Jamie Sherrah, Simon Lucey

PoserNet: Refining Relative Camera Poses Exploiting Object Detections

Matteo Taiana, Matteo Toso, Stuart James, Alessio Del Bue

ActiveNeRF: Learning Where to See with Uncertainty Estimation

Xuran Pan, Zihang Lai, Shiji Song, Gao Huang

GigaDepth: Learning Depth from Structured Light with Branching Neural Networks

Simon Schreiberhuber, Jean-Baptiste Weibel, Timothy Patten, Markus Vincze

MODE: Multi-View Omnidirectional Depth Estimation with 360° Cameras

Ming Li, Xueqian Jin, Xuejiao Hu, Jingzhao Dai, Sidan Du

FLEX: Extrinsic Parameters-Free Multi-View 3D Human Motion Reconstruction

Brian Gordon, Sigal Raab, Guy Azov, Raja Giryes, Daniel Cohen-or

Deforming Radiance Fields with Cages

Tianhan Xu, Tatsuya Harada

Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs

Sameera Ramasinghe, Simon Lucey

Language-Grounded Indoor 3D Semantic Segmentation in the Wild

David Rozenberszki, Or Litany, Angela Dai

Objects Can Move: 3D Change Detection by Geometric Transformation Consistency

Aikaterini Adam, Torsten Sattler, Konstantinos Karantzalos, Tomas Pajdla

GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNs

Xin Liu, Xiaofei Shao, Bo Wang, Yali Li, Shengjin Wang

Neural Strands: Learning Hair Geometry and Appearance from Multi-View Images

Radu Alexandru Rosu, Shunsuke Saito, Ziyan Wang, Chenglei Wu, Sven Behnke

Correspondence Reweighted Translation Averaging

Lalit Manam, Venu Madhav Govindu

What Matters for 3D Scene Flow Network

Guangming Wang, Yunzhe Hu, Zhe Liu, Yiyang Zhou, Masayoshi Tomizuka

Structure and Motion from Casual Videos

Zhoutong Zhang, Forrester Cole, Zhengqi Li, Noah Snavely, Michael Rubinstein

SimpleRecon: 3D Reconstruction without 3D Convolutions

Mohamed Sayed, John Gibson, Jamie Watson, Victor Prisacariu, Michael Firman

Space-Partitioning RANSAC

Daniel Barath, Gábor Valasek

DiffuStereo: High Quality Human Reconstruction via Diffusion-Based Stereo Using Sparse Cameras

Ruizhi Shao, Zerong Zheng, Hongwen Zhang, Jingxiang Sun, Yebin Liu

Point Scene Understanding via Disentangled Instance Mesh Reconstruction

Jiaxiang Tang, Xiaokang Chen, Jingbo Wang, Gang Zeng

IS-MVSNet: Importance Sampling-Based MVSNet

Likang Wang, Yue Gong, Xinjun Ma, Qirui Wang, Kaixuan Zhou

GraphFit: Learning Multi-Scale Graph-Convolutional Representation for Point Cloud Normal Estimation

Keqiang Li, Mingyang Zhao, Huaiyu Wu, Dong-Ming Yan, Zhen Shen

Affine Correspondences between Multi-Camera Systems for 6DOF Relative Pose Estimation

Banglei Guan, Ji Zhao

CoVisPose: Co-Visibility Pose Transformer for Wide-Baseline Relative Pose Estimation in 360° Indoor Panoramas

Will Hutchcroft, Yuguang Li, Ivaylo Boyadzhiev, Zhiqiang Wan, Haiyan Wang