ECCV 2022

1,645 papers

Weakly Supervised 3D Scene Segmentation with Region-Level Boundary Awareness and Instance Discrimination

Kangcheng Liu, Yuzhi Zhao, Qiang Nie, Zhi Gao, Ben M. Chen

Learning Semantic Segmentation from Multiple Datasets with Label Shifts

Dongwan Kim, Yi-Hsuan Tsai, Yumin Suh, Masoud Faraki, Sparsh Garg

Salient Object Detection for Point Clouds

Songlin Fan, Wei Gao, Ge Li

Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation

Xiangtai Li, Shilin Xu, Yibo Yang, Guangliang Cheng, Yunhai Tong

3D-PL: Domain Adaptive Depth Estimation with 3D-Aware Pseudo-Labeling

Yu-Ting Yen, Chia-Ni Lu, Wei-Chen Chiu, Yi-Hsuan Tsai

LaLaLoc++: Global Floor Plan Comprehension for Layout Localisation in Unvisited Environments

Henry Howard-Jenkins, Victor Adrian Prisacariu

GALA: Toward Geometry-and-Lighting-Aware Object Search for Compositing

Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang

MOTR: End-to-End Multiple-Object Tracking with TRansformer

Fangao Zeng, Bin Dong, Yuang Zhang, Tiancai Wang, Xiangyu Zhang

Initialization and Alignment for Adversarial Texture Optimization

Xiaoming Zhao, Zhizhen Zhao, Alexander G. Schwing

PointMixer: MLP-Mixer for Point Cloud Understanding

Jaesung Choe, Chunghyun Park, Francois Rameau, Jaesik Park, In So Kweon

SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds

Qingyong Hu, Bo Yang, Guangchi Fang, Yulan Guo, Ales Leonardis

PolyphonicFormer: Unified Query Learning for Depth-Aware Video Panoptic Segmentation

Haobo Yuan, Xiangtai Li, Yibo Yang, Guangliang Cheng, Jing Zhang

RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation

Mu He, Le Hui, Yikai Bian, Jian Ren, Jin Xie

S2Net: Stochastic Sequential Pointcloud Forecasting

Xinshuo Weng, Junyu Nan, Kuan-Hui Lee, Rowan McAllister, Adrien Gaidon

PETR: Position Embedding Transformation for Multi-View 3D Object Detection

Yingfei Liu, Tiancai Wang, Xiangyu Zhang, Jian Sun

Inverted Pyramid Multi-task Transformer for Dense Scene Understanding

Hanrong Ye, Dan Xu

Stereo Depth Estimation with Echoes

Chenghao Zhang, Kun Tian, Bolin Ni, GAOFENG MENG, Bin Fan

Primitive-Based Shape Abstraction via Nonparametric Bayesian Inference

Yuwei Wu, Weixiao Liu, Sipu Ruan, Gregory S. Chirikjian

Discovering Human-Object Interaction Concepts via Self-Compositional Learning

Zhi Hou, Baosheng Yu, Dacheng Tao

Towards Hard-Positive Query Mining for DETR-Based Human-Object Interaction Detection

Xubin Zhong, Changxing Ding, Zijian Li, Shaoli Huang

Pose2Room: Understanding 3D Scenes from Human Activities

Yinyu Nie, Angela Dai, Xiaoguang Han, Matthias Nießner

Fine-Grained Scene Graph Generation with Data Transfer

Ao Zhang, Yuan Yao, Qianyu Chen, Wei Ji, Zhiyuan Liu

Improving the Reliability for Confidence Estimation

Haoxuan Qu, Yanchao Li, Lin Geng Foo, Jason Kuen, Jiuxiang Gu

Meta Spatio-Temporal Debiasing for Video Scene Graph Generation

Li Xu, Haoxuan Qu, Jason Kuen, Jiuxiang Gu, Jun Liu

Is It Necessary to Transfer Temporal Knowledge for Domain Adaptive Video Semantic Segmentation?

Xinyi Wu, Zhenyao Wu, Jin Wan, Lili Ju, Song Wang

TO-Scene: A Large-Scale Dataset for Understanding 3D Tabletop Scenes

Mutian Xu, Pei Chen, Haolin Liu, Xiaoguang Han

MonoPLFlowNet: Permutohedral Lattice FlowNet for Real-Scale 3D Scene Flow Estimation with Monocular Images

Runfa Li, Truong Nguyen

MTFormer: Multi-task Learning via Transformer and Cross-Task Reasoning

Xiaogang Xu, Hengshuang Zhao, Vibhav Vineet, Ser-Nam Lim, Antonio Torralba

DODA: Data-Oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation

Runyu Ding, Jihan Yang, Li Jiang, Xiaojuan Qi

Hierarchical Memory Learning for Fine-Grained Scene Graph Generation

Youming Deng, Yansheng Li, Yongjun Zhang, Xiang Xiang, Jian Wang

LiDAL: Inter-Frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation

Zeyu Hu, Xuyang Bai, Runze Zhang, Xin Wang, Guangyuan Sun

FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic Upsampling

Hao Lu, Wenze Liu, Hongtao Fu, Zhiguo Cao

RigNet: Repetitive Image Guided Network for Depth Completion

Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Jun Li

Object-Compositional Neural Implicit Surfaces

Qianyi Wu, Xian Liu, Yuedong Chen, Kejie Li, Chuanxia Zheng

Panoptic Scene Graph Generation

Jingkang Yang, Yi Zhe Ang, Zujin Guo, Kaiyang Zhou, Wayne Zhang

MVDG: A Unified Multi-View Framework for Domain Generalization

Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao

Trading Positional Complexity vs Deepness in Coordinate Networks

Jianqiao Zheng, Sameera Ramasinghe, Xueqian Li, Simon Lucey

Object Discovery and Representation Networks

Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle

Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer

Arjun Ashok, K J Joseph, Vineeth N Balasubramanian

Contrasting Quadratic Assignments for Set-Based Representation Learning

Artem Moskalev, Ivan Sosnovik, Volker Fischer, Arnold Smeulders

Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training

Haoxuan You, Luowei Zhou, Bin Xiao, Noel Codella, Yu Cheng

A Gyrovector Space Approach for Symmetric Positive Semi-Definite Matrix Learning

Xuan Son Nguyen

NashAE: Disentangling Representations through Adversarial Covariance Minimization

Eric Yeats, Frank Liu, David Womble, Hai Li

Fine-Grained Fashion Representation Learning by Online Deep Clustering

Yang Jiao, Ning Xie, Yan Gao, Chien-chih Wang, Yi Sun

Relative Contrastive Loss for Unsupervised Representation Learning

SHIXIANG TANG, Feng Zhu, LEI BAI, Rui Zhao, Wanli Ouyang

Identifying Hard Noise in Long-Tailed Sample Distribution

Xuanyu Yi, Kaihua Tang, Xian-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang

Conditional Stroke Recovery for Fine-Grained Sketch-Based Image Retrieval

Zhixin Ling, Zhen Xing, Jian Zhou, Xiangdong Zhou

The Challenges of Continuous Self-Supervised Learning

Senthil Purushwalkam, Pedro Morgado, Abhinav Gupta

Joint Learning of Localized Representations from Medical Images and Reports

Philip Müller, Georgios Kaissis, Congyu Zou, Daniel Rueckert

Decoupled Contrastive Learning

Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-luh Liu, Yubei Chen

Unifying Visual Contrastive Learning for Object Recognition from a Graph Perspective

SHIXIANG TANG, Feng Zhu, LEI BAI, Rui Zhao, Chenyu Wang

DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning

Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang

ParC-Net: Position Aware Circular Convolution with Merits from ConvNets and Transformer

Haokui Zhang, Wenze Hu, Xiaoyu Wang

PT4AL: Using Self-Supervised Pretext Tasks for Active Learning

John Seon Keun Yi, Minseok Seo, Jongchan Park, Dong-Geol Choi

A Contrastive Objective for Learning Disentangled Representations

Jonathan Kahana, Yedid Hoshen

Neural Video Compression Using GANs for Detail Synthesis and Propagation

Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston

Discovering Deformable Keypoint Pyramids

Jianing Qian, Anastasios Panagopoulos, Dinesh Jayaraman

SLIP: Self-Supervision Meets Language-Image Pre-training

Norman Mu, Alexander Kirillov, David Wagner, Saining Xie

X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation

Yinan He, Gengshi Huang, Siyu Chen, Jianing Teng, Kun Wang

Sound Localization by Self-Supervised Time Delay Estimation

Ziyang Chen, David F. Fouhey, Andrew Owens

UFO: Unified Feature Optimization

Teng Xi, Yifan Sun, Deli Yu, Bi Li, Nan Peng

TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers

Jihao Liu, Boxiao Liu, Hang Zhou, hongsheng Li, Yu Liu

A Non-Isotropic Probabilistic Take On Proxy-Based Deep Metric Learning

Michael Kirchhof, Karsten Roth, Zeynep Akata, Enkelejda Kasneci

Learn from All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition

Yuhang Zhang, Chengrui Wang, Xu Ling, Weihong Deng

DAS: Densely-Anchored Sampling for Deep Metric Learning

Lizhao Liu, Shangxin Huang, Zhuangwei Zhuang, Ran Yang, Mingkui Tan

Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification

Xulin Li, Yan Lu, Bin Liu, Yating Liu, Guojun Yin

Balancing between Forgetting and Acquisition in Incremental Subpopulation Learning

Mingfu Liang, Jiahuan Zhou, Wei Wei, Ying Wu

Self-Regulated Feature Learning via Teacher-Free Feature Distillation

Lujun Li

On the Versatile Uses of Partial Distance Correlation in Deep Learning

Xingjian Zhen, Zihang Meng, Rudrasis Chakraborty, Vikas Singh

LoRD: Local 4D Implicit Representation for High-Fidelity Dynamic Human Modeling

Boyan Jiang, Xinlin Ren, Mingsong Dou, Xiangyang Xue, Yanwei Fu

Fast-MoCo: Boost Momentum-Based Contrastive Learning with Combinatorial Patches

Yuanzheng Ci, CHEN LIN, LEI BAI, Wanli Ouyang

Manifold Adversarial Learning for Cross-Domain 3D Shape Representation

Hao Huang, Cheng Chen, Yi Fang

CoSCL: Cooperation of Small Continual Learners Is Stronger than a Big One

Liyuan Wang, Xingxing Zhang, Qian Li, Jun Zhu, Yi Zhong

DisCo: Remedying Self-Supervised Learning on Lightweight Models with Distilled Contrastive Learning

Yuting Gao, Jia-Xin Zhuang, Shaohui Lin, Hao Cheng, Xing Sun

Balancing Stability and Plasticity through Advanced Null Space in Continual Learning

Yajing Kong, Liu Liu, Zhen Wang, Dacheng Tao

Posterior Refinement on Metric Matrix Improves Generalization Bound in Metric Learning

Mingda Wang, Canqian Yang, Yi Xu

Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning

Yuxiao Chen, Long Zhao, Jianbo Yuan, Yu Tian, Zhaoyang Xia

SphereFed: Hyperspherical Federated Learning

Xin Dong, Sai Qian Zhang, Ang Li, H.T. Kung

Static and Dynamic Concepts for Self-Supervised Video Representation Learning

Rui Qian, Shuangrui Ding, Xian Liu, Dahua Lin

Learning Ego 3D Representation As Ray Tracing

Jiachen Lu, Zheyuan Zhou, Xiatian Zhu, Hang Xu, Li Zhang

Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining

Qihang Zhang, Zhenghao Peng, Bolei Zhou

LiP-Flow: Learning Inference-Time Priors for Codec Avatars via Normalizing Flows in Latent Space

Emre Aksan, Shugao Ma, Akin Caliskan, Stanislav Pidhorskyi, Alexander Richard

Implicit Neural Representations for Image Compression

Yannick Strümpler, Janis Postels, Ren Yang, Luc Van Gool, Federico Tombari

Few-Shot End-to-End Object Detection via Constantly Concentrated Encoding across Heads

Jiawei Ma, Guangxing Han, Shiyuan Huang, Yuncong Yang, Shih-fu Chang

LocVTP: Video-Text Pre-training for Temporal Localization

Meng Cao, Tianyu Yang, Junwu Weng, Can Zhang, Jue Wang

Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective

Quan Cui, Bingchen Zhao, Zhao-Min Chen, Borui Zhao, Renjie Song

Contrastive Deep Supervision

Linfeng Zhang, Xin Chen, Junbo Zhang, Runpei Dong, Kaisheng Ma

Online Task-Free Continual Learning with Dynamic Sparse Distributed Memory

Julien Pourcel, Ngoc-Son Vu, Robert M. French

Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection

Seong Min Kye, Kwanghee Choi, Joonyoung Yi, Buru Chang

Augmenting Deep Classifiers with Polynomial Neural Networks

Grigorios G. Chrysos, Markos Georgopoulos, Jiankang Deng, Jean Kossaifi, Yannis Panagakis

In Defense of Image Pre-training for Spatiotemporal Recognition

Xianhang Li, Huiyu Wang, CHEN WEI, Jieru Mei, Alan Yuille

Towards Accurate Open-Set Recognition via Background-Class Regularization

Wonwoo Cho, Jaegul Choo

Rotation Regularization without Rotation

Takumi Kobayashi

PRIME: A Few Primitives Can Boost Robustness to Common Corruptions

Apostolos Modas, Rahul Rade, Guillermo Ortiz-Jimenez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard

IGFormer: Interaction Graph Transformer for Skeleton-Based Human Interaction Recognition

Yunsheng Pang, Qiuhong Ke, Hossein Rahmani, James Bailey, Jun Liu

incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection

Amanda Rios, Nilesh Ahuja, Ibrahima Ndiour, Utku Genc, Laurent Itti

VIP: Unified Certified Detection and Recovery for Patch Attack with Vision Transformers

Junbo Li, Huan Zhang, Cihang Xie

Should All Proposals Be Treated Equally in Object Detection?

Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu

Uncertainty-Guided Source-Free Domain Adaptation

Subhankar Roy, Martin Trapp, Andrea Pilzer, Juho Kannala, Nicu Sebe

Rethinking Confidence Calibration for Failure Prediction

Fei Zhu, Zhen Cheng, Xu-yao Zhang, Cheng-lin Liu