This is the final in-person program for ECCV 2022.
The black-on-white entries on this spreadsheet (so 99% of it) are identical to the printed program.
Here (online), there are just a few late-breaking changes, indicated in orange for papers
where plans changed and authors couldn't come, or blue where the authors ARE able to make it after all.

0930–1100

Long-Tail Detection with Effective Class-Margins

Jang Hyun Cho; Philipp Krähenbühl

Detection and localization in 2D and/or 3D

Multimodal Object Detection via Probabilistic Ensembling

Yi-Ting Chen; Jinghao Shi; Zelin Ye; Christoph Mertz; Deva Ramanan; Shu Kong

Detection and localization in 2D and/or 3D

Vision for and autonomous vehicles

Improving Robustness by Enhancing Weak Subnets

Yong Guo; David Stutz; Bernt Schiele

Recognition and classification

Optimization and learning methods

Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting

Yangzheng Wu; Mohsen Zand; Ali Etemad; Michael Greenspan

Detection and localization in 2D and/or 3D

Monocular 3D Object Detection with Depth from Motion

Tai Wang; Jiangmiao Pang; Dahua Lin

Detection and localization in 2D and/or 3D

3D from a single image and shape-from-x; Scene analysis and understanding; Stereo, 3D from multiview and other sensors; Video analysis and understanding; Vision for and autonomous vehicles

Particle Video Revisited: Tracking through Occlusions Using Point Trajectories

Adam W. Harley; Zhaoyuan Fang; Katerina Fragkiadaki

Motion and tracking

Machine learning architectures and formulations; Video analysis and understanding

A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow

Jenny Schmalfuss; Philipp Scholze; Andrés Bruhn

Motion and tracking

Adversarial learning; Optimization and learning methods

Social-SSL: Self-Supervised Cross-Sequence Representation Learning Based on Transformers for Multi-agent Trajectory Prediction

Li-Wu Tsao; Yan-Kai Wang; Hao-Siang Lin; Hong-Han Shuai; Lai-Kuan Wong; Wen-Huang Cheng

Motion and tracking

Semi / Weak / Self / Unsupervised Learning

Diverse Human Motion Prediction Guided by Multi-level Spatial-Temporal Anchors

Sirui Xu; Yu-Xiong Wang; Liang-Yan Gui

Motion and tracking

Body gestures and pose

TEMOS: Generating Diverse Human Motions from Textual Descriptions

Mathis Petrovich; Michael J. Black; Gül Varol

Motion and tracking

PREF: Predictability Regularized Neural Motion Fields

Liangchen Song; Xuan Gong; Benjamin Planche; Meng Zheng; David Doermann; Junsong Yuan; Terrence Chen; Ziyan Wu

Motion and tracking

Scene analysis and understanding; Stereo, 3D from multiview and other sensors

1100–1330

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

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

Video analysis and understanding

Action and behavior recognition; Datasets and evaluation; Semi / Weak / Self / Unsupervised Learning

Chun-Hsiao Yeh; Cheng-Yao Hong; Yen-Chi Hsu; Tyng-Luh Liu; Yubei Chen; Yann LeCun

Representation learning

Semi / Weak / Self / Unsupervised Learning

3D Clothed Human Reconstruction in the Wild

Gyeongsik Moon; Hyeongjin Nam; Takaaki Shiratori; Kyoung Mu Lee

3D from a single image and shape-from-x

Semi / Weak / Self / Unsupervised Learning

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

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

Scene analysis and understanding

Segmentation, grouping, and shape

Towards Accurate Network Quantization with Equivalent Smooth Regularizer

Kirill Solodskikh; Vladimir Chikin; Ruslan Aydarkhanov; Dehua Song; Irina Zhelavskaya; Jiansheng Wei

Efficient training and inference methods

Optimization and learning methods

PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation

Bo Sun; Vladimir G. Kim; Noam Aigerman; Qixing Huang; Siddhartha Chaudhuri

3D shape modeling and processing

Object Discovery via Contrastive Learning for Weakly Supervised Object Detection

Jinhwan Seo; Wonho Bae; Danica J. Sutherland; Junhyug Noh; Daijin Kim

Semi / Weak / Self / Unsupervised Learning

Detection and localization in 2D and/or 3D; Recognition and classification

Federated Self-Supervised Learning for Video Understanding

Yasar Abbas Ur Rehman; Yan Gao; Jiajun Shen; Pedro Porto Buarque de Gusmão; Nicholas Lane

Semi / Weak / Self / Unsupervised Learning

Image and video retrieval; Optimization and learning methods; Representation learning

TEMOS: Generating Diverse Human Motions from Textual Descriptions

Mathis Petrovich; Michael J. Black; Gül Varol

Motion and tracking

S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning

Jayateja Kalla; Soma Biswas

Recognition and classification

Low-shot learning

Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration

Christian Tomani; Daniel Cremers; Florian Buettner

Fairness, accountability, transparency, and ethics in vision

Machine learning architectures and formulations

Intelli-Paint: Towards Developing More Human-Intelligible Painting Agents

Jaskirat Singh; Cameron Smith; Jose Echevarria; Liang Zheng

Image and video synthesis

Vision applications and systems

Expanded Adaptive Scaling Normalization for End to End Image Compression

Chajin Shin; Hyeongmin Lee; Hanbin Son; Sangjin Lee; Dogyoon Lee; Sangyoun Lee

Image and video synthesis

Low-level and physics-based vision

ARAH: Animatable Volume Rendering of Articulated Human SDFs

Shaofei Wang; Katja Schwarz; Andreas Geiger; Siyu Tang

Stereo, 3D from multiview and other sensors

3D shape modeling and processing; Body gestures and pose; Image and video synthesis; Optimization and learning methods

Scaling Adversarial Training to Large Perturbation Bounds

Sravanti Addepalli; Samyak Jain; Gaurang Sriramanan; R. Venkatesh Babu

Adversarial learning

DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition

Yuxuan Liang; Pan Zhou; Roger Zimmermann; Shuicheng Yan

Video analysis and understanding

Recognition and classification

WISE: Whitebox Image Stylization by Example-Based Learning

Winfried Lötzsch; Max Reimann; Martin Büssemeyer; Amir Semmo; Jürgen Döllner; Matthias Trapp

Image and video synthesis

Explainable AI for CV

CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection

Jyh-Jing Hwang; Henrik Kretzschmar; Joshua Manela; Sean Rafferty; Nicholas Armstrong-Crews; Tiffany Chen; Dragomir Anguelov

Vision for and autonomous vehicles

Detection and localization in 2D and/or 3D; Scene analysis and understanding; Stereo, 3D from multiview and other sensors

Particle Video Revisited: Tracking through Occlusions Using Point Trajectories

Adam W. Harley; Zhaoyuan Fang; Katerina Fragkiadaki

Motion and tracking

Machine learning architectures and formulations; Video analysis and understanding

Image Inpainting with Cascaded Modulation GAN and Object-Aware Training

Haitian Zheng; Zhe Lin; Jingwan Lu; Scott Cohen; Eli Shechtman; Connelly Barnes; Jianming Zhang; Ning Xu; Sohrab Amirghodsi; Jiebo Luo

Image and video synthesis

Neural generative models

Learning to Detect Every Thing in an Open World

Kuniaki Saito; Ping Hu; Trevor Darrell; Kate Saenko

Recognition and classification

Segmentation, grouping, and shape

Backbone Is All Your Need: A Simplified Architecture for Visual Object Tracking

Boyu Chen; Peixia Li; Lei Bai; Lei Qiao; Qiuhong Shen; Bo Li; Weihao Gan; Wei Wu; Wanli Ouyang

Motion and tracking

Transfer learning

Neural Correspondence Field for Object Pose Estimation

Lin Huang; Tomas Hodan; Lingni Ma; Linguang Zhang; Luan Tran; Christopher D. Twigg; Po-Chen Wu; Junsong Yuan; Cem Keskin; Robert Wang

Detection and localization in 2D and/or 3D

3D from a single image and shape-from-x

DANBO: Disentangled Articulated Neural Body Representations via Graph Neural Networks

Shih-Yang Su; Timur Bagautdinov; Helge Rhodin

3D from a single image and shape-from-x

3D shape modeling and processing; Neural generative models

Three Things Everyone Should Know about Vision Transformers

Hugo Touvron; Matthieu Cord; Alaaeldin El-Nouby; Jakob Verbeek; Hervé Jégou

Recognition and classification

Machine learning architectures and formulations; Optimization and learning methods; Transfer learning

Telepresence Video Quality Assessment

Zhenqiang Ying; Deepti Ghadiyaram; Alan Bovik

Vision + other modalities

Video analysis and understanding

OCR-Free Document Understanding Transformer

Geewook Kim; Teakgyu Hong; Moonbin Yim; JeongYeon Nam; Jinyoung Park; Jinyeong Yim; Wonseok Hwang; Sangdoo Yun; Dongyoon Han; Seunghyun Park

Scene text and document understanding

Vision applications and systems

BlobGAN: Spatially Disentangled Scene Representations

Dave Epstein; Taesung Park; Richard Zhang; Eli Shechtman; Alexei A. Efros

Image and video synthesis

Scene analysis and understanding; Semi / Weak / Self / Unsupervised Learning

Improving Robustness by Enhancing Weak Subnets

Yong Guo; David Stutz; Bernt Schiele

Recognition and classification

Optimization and learning methods

VecGAN: Image-to-Image Translation with Interpretable Latent Directions

Yusuf Dalva; Said Fahri Altındiş; Aysegul Dundar

Image and video synthesis

Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark

Kibok Lee; Hao Yang; Satyaki Chakraborty; Zhaowei Cai; Gurumurthy Swaminathan; Avinash Ravichandran; Onkar Dabeer

Low-shot learning

Datasets and evaluation; Recognition and classification; Transfer learning

Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification

Jianxiong Shen; Antonio Agudo; Francesc Moreno-Noguer; Adria Ruiz

3D shape modeling and processing

Stereo, 3D from multiview and other sensors

Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction

Inhwan Bae; Jin-Hwi Park; Hae-Gon Jeon

Motion and tracking

Action and behavior recognition; Vision for and autonomous vehicles

ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization

Muhammad Zubair Irshad; Sergey Zakharov; Rareș Ambruș; Thomas Kollar; Zsolt Kira; Adrien Gaidon

3D from a single image and shape-from-x

Recognition and classification; Scene analysis and understanding

MoDA: Map Style Transfer for Self-Supervised Domain Adaptation of Embodied Agents

Eun Sun Lee; Junho Kim; SangWon Park; Young Min Kim

Vision for robotics and embodied vision

BASQ: Branch-Wise Activation-Clipping Search Quantization for Sub-4-Bit Neural Networks

Han-Byul Kim; Eunhyeok Park; Sungjoo Yoo

Efficient training and inference methods

Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement

Junuk Cha; Muhammad Saqlain; GeonU Kim; Mingyu Shin; Seungryul Baek

Body gestures and pose

3D from a single image and shape-from-x; 3D shape modeling and processing

Jingkang Yang; Yi Zhe Ang; Zujin Guo; Kaiyang Zhou; Wayne Zhang; Ziwei Liu

Scene analysis and understanding

Social-SSL: Self-Supervised Cross-Sequence Representation Learning Based on Transformers for Multi-agent Trajectory Prediction

Li-Wu Tsao; Yan-Kai Wang; Hao-Siang Lin; Hong-Han Shuai; Lai-Kuan Wong; Wen-Huang Cheng

Motion and tracking

Semi / Weak / Self / Unsupervised Learning

Image-Based CLIP-Guided Essence Transfer

Hila Chefer; Sagie Benaim; Roni Paiss; Lior Wolf

Image and video manipulation detection

Neural generative models; Vision + language

ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-Verified Image-Caption Associations for MS-COCO

Sanghyuk Chun; Wonjae Kim; Song Park; Minsuk Chang; Seong Joon Oh

Datasets and evaluation

Vision + language

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

Cristiano Saltori; Evgeny Krivosheev; Stéphane Lathuilière; Nicu Sebe; Fabio Galasso; Giuseppe Fiameni; Elisa Ricci; Fabio Poiesi

Transfer learning

Semi / Weak / Self / Unsupervised Learning; Vision for and autonomous vehicles

Fast Two-View Motion Segmentation Using Christoffel Polynomials

Bengisu Ozbay; Octavia Camps; Mario Sznaier

Segmentation, grouping, and shape

Dual Perspective Network for Audio-Visual Event Localization

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

Video analysis and understanding

Vision + other modalities

TREND: Truncated Generalized Normal Density Estimation of Inception Embeddings for GAN Evaluation

Junghyuk Lee; Jong-Seok Lee

Neural generative models

Datasets and evaluation

Grounding Visual Representations with Texts for Domain Generalization

Seonwoo Min; Nokyung Park; Siwon Kim; Seunghyun Park; Jinkyu Kim

Vision + language

Explainable AI for CV; Representation learning

FrequencyLowCut Pooling – Plug & Play against Catastrophic Overfitting

Julia Grabinski; Steffen Jung; Janis Keuper; Margret Keuper

Image and video manipulation detection

Machine learning architectures and formulations; Recognition and classification

GigaDepth: Learning Depth from Structured Light with Branching Neural Networks

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

Stereo, 3D from multiview and other sensors

Diverse Human Motion Prediction Guided by Multi-level Spatial-Temporal Anchors

Sirui Xu; Yu-Xiong Wang; Liang-Yan Gui

Motion and tracking

Body gestures and pose

Hierarchical Average Precision Training for Pertinent Image Retrieval

Elias Ramzi; Nicolas Audebert; Nicolas Thome; Clément Rambour; Xavier Bitot

Image and video retrieval

Machine learning architectures and formulations; Optimization and learning methods

IntereStyle: Encoding an Interest Region for Robust StyleGAN Inversion

Seung-Jun Moon; Gyeong-Moon Park

Image and video synthesis

Faces; Neural generative models

Semi-Supervised Learning of Optical Flow by Flow Supervisor

Woobin Im; Sebin Lee; Sung-Eui Yoon

Video analysis and understanding

Motion and tracking; Semi / Weak / Self / Unsupervised Learning

SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection

Minhyeok Lee; Chaewon Park; Suhwan Cho; Sangyoun Lee

Segmentation, grouping, and shape

Scene analysis and understanding

CANF-VC: Conditional Augmented Normalizing Flows for Video Compression

Yung-Han Ho; Chih-Peng Chang; Peng-Yu Chen; Alessandro Gnutti; Wen-Hsiao Peng

Image and video synthesis

Weiyu Guo; Zhaoshuo Li; Yongkui Yang; Zheng Wang; Russell H. Taylor; Mathias Unberath; Alan Yuille; Yingwei Li

Stereo, 3D from multiview and other sensors

Machine learning architectures and formulations

AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction

Zerui Chen; Yana Hasson; Cordelia Schmid; Ivan Laptev

3D from a single image and shape-from-x

Body gestures and pose

Geometric Features Informed Multi-Person Human-Object Interaction Recognition in Videos

Tanqiu Qiao; Qianhui Men; Frederick W. B. Li; Yoshiki Kubotani; Shigeo Morishima; Hubert P. H. Shum

Action and behavior recognition

Body gestures and pose; Recognition and classification; Video analysis and understanding

Junwoo Cho; Seungtae Nam; Daniel Rho; Jong Hwan Ko; Eunbyung Park

Machine learning architectures and formulations

3D shape modeling and processing; Optimization and learning methods

Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting

Yangzheng Wu; Mohsen Zand; Ali Etemad; Michael Greenspan

Detection and localization in 2D and/or 3D

PIP: Physical Interaction Prediction via Mental Simulation with Span Selection

Jiafei Duan; Samson Yu; Soujanya Poria; Bihan Wen; Cheston Tan

Video analysis and understanding

Datasets and evaluation; Image and video synthesis; Recognition and classification; Scene analysis and understanding

DeepMend: Learning Occupancy Functions to Represent Shape for Repair

Nikolas Lamb; Sean Banerjee; Natasha Kholgade Banerjee

3D shape modeling and processing

3D from a single image and shape-from-x; Optimization and learning methods; Representation learning

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

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

Transfer learning

Elad Amrani; Leonid Karlinsky; Alex Bronstein

Semi / Weak / Self / Unsupervised Learning

Representation learning

Towards Metrical Reconstruction of Human Faces

Wojciech Zielonka; Timo Bolkart; Justus Thies

Motion and tracking

Learned Vertex Descent: A New Direction for 3D Human Model Fitting

Enric Corona; Gerard Pons-Moll; Guillem Alenyà; Francesc Moreno-Noguer

3D from a single image and shape-from-x

3D shape modeling and processing

Robust Landmark-Based Stent Tracking in X-Ray Fluoroscopy

Luojie Huang; Yikang Liu; Li Chen; Eric Z. Chen; Xiao Chen; Shanhui Sun

Motion and tracking

Detection and localization in 2D and/or 3D; Medical, biological, and cell microscopy; Visual reasoning and logical representation

The Missing Link: Finding Label Relations across Datasets

Jasper Uijlings; Thomas Mensink; Vittorio Ferrari

Datasets and evaluation

Deep Ensemble Learning by Diverse Knowledge Distillation for Fine-Grained Object Classification

Naoki Okamoto; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi

Efficient training and inference methods

Optimization and learning methods; Recognition and classification

Multimodal Object Detection via Probabilistic Ensembling

Yi-Ting Chen; Jinghao Shi; Zelin Ye; Christoph Mertz; Deva Ramanan; Shu Kong

Detection and localization in 2D and/or 3D

Vision for and autonomous vehicles

Latent Space Smoothing for Individually Fair Representations

Momchil Peychev; Anian Ruoss; Mislav Balunović; Maximilian Baader; Martin Vechev

Fairness, accountability, transparency, and ethics in vision

Adversarial learning; Explainable AI for CV

SUPR: A Sparse Unified Part-Based Human Representation

Ahmed A. A. Osman; Timo Bolkart; Dimitrios Tzionas; Michael J. Black

3D shape modeling and processing

Body gestures and pose

PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking?

Aleksandr Kim; Guillem Brasó; Aljoša Ošep; Laura Leal-Taixé

Motion and tracking

Detection and localization in 2D and/or 3D; Vision + other modalities; Vision applications and systems; Vision for and autonomous vehicles; Vision for robotics and embodied vision

Learning Instance-Specific Adaptation for Cross-Domain Segmentation

Yuliang Zou; Zizhao Zhang; Chun-Liang Li; Han Zhang; Tomas Pfister; Jia-Bin Huang

Transfer learning

Segmentation, grouping, and shape; Vision for and autonomous vehicles

Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving

Mahyar Najibi; Jingwei Ji; Yin Zhou; Charles R. Qi; Xinchen Yan; Scott Ettinger; Dragomir Anguelov

Vision for and autonomous vehicles

Detection and localization in 2D and/or 3D; Motion and tracking; Semi / Weak / Self / Unsupervised Learning

Graph Neural Network for Cell Tracking in Microscopy Videos

Tal Ben-Haim; Tammy Riklin Raviv

Medical, biological, and cell microscopy

Motion and tracking

Correspondence Reweighted Translation Averaging

Lalit Manam; Venu Madhav Govindu

Stereo, 3D from multiview and other sensors

3D shape modeling and processing

MotionCLIP: Exposing Human Motion Generation to CLIP Space

Guy Tevet; Brian Gordon; Amir Hertz; Amit H. Bermano; Daniel Cohen-Or

Motion and tracking

Body gestures and pose; Neural generative models; Vision + language

Learning Audio-Video Modalities from Image Captions

Arsha Nagrani; Paul Hongsuck Seo; Bryan Seybold; Anja Hauth; Santiago Manen; Chen Sun; Cordelia Schmid

Image and video retrieval

Datasets and evaluation; Vision + language; Vision + other modalities

Long-Tail Detection with Effective Class-Margins

Jang Hyun Cho; Philipp Krähenbühl

Detection and localization in 2D and/or 3D

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

Jayeon Yoo; Inseop Chung; Nojun Kwak

Transfer learning

Detection and localization in 2D and/or 3D; Semi / Weak / Self / Unsupervised Learning; Vision for and autonomous vehicles

Viktor Rudnev; Mohamed Elgharib; William Smith; Lingjie Liu; Vladislav Golyanik; Christian Theobalt

Image and video synthesis

Scene analysis and understanding; Segmentation, grouping, and shape; Semi / Weak / Self / Unsupervised Learning; Stereo, 3D from multiview and other sensors

A Comparative Study of Graph Matching Algorithms in Computer Vision

Stefan Haller; Lorenz Feineis; Lisa Hutschenreiter; Florian Bernard; Carsten Rother; Dagmar Kainmüller; Paul Swoboda; Bogdan Savchynskyy

Optimization and learning methods

Datasets and evaluation

Quantized GAN for Complex Music Generation from Dance Videos

Ye Zhu; Kyle Olszewski; Yu Wu; Panos Achlioptas; Menglei Chai; Yan Yan; Sergey Tulyakov

Vision + other modalities

Vision applications and systems

Menglin Jia; Luming Tang; Bor-Chun Chen; Claire Cardie; Serge Belongie; Bharath Hariharan; Ser-Nam Lim

Transfer learning

Recognition and classification

Embedding Contrastive Unsupervised Features to Cluster in- and Out-of-Distribution Noise in Corrupted Image Datasets

Paul Albert; Eric Arazo; Noel E. O’Connor; Kevin McGuinness

Semi / Weak / Self / Unsupervised Learning

Cross-Domain Ensemble Distillation for Domain Generalization

Kyungmoon Lee; Sungyeon Kim; Suha Kwak

Recognition and classification

Bridging the Visual Semantic Gap in VLN via Semantically Richer Instructions

Joaquín Ossandón; Benjamín Earle; Alvaro Soto

Vision + language

Datasets and evaluation; Vision + other modalities; Vision for robotics and embodied vision