ECCV 2022

1,645 papers

Approximate Differentiable Rendering with Algebraic Surfaces

Leonid Keselman, Martial Hebert

Solution Space Analysis of Essential Matrix Based on Algebraic Error Minimization

Gaku Nakano

Few ‘Zero Level Set’-Shot Learning of Shape Signed Distance Functions in Feature Space

Amine Ouasfi, Adnane Boukhayma

4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding

Yujin Chen, Matthias Nießner, Angela Dai

ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild

Wang Zhao, Shaohui Liu, Hengkai Guo, Wenping Wang, Yong-jin Liu

CIRCLE: Convolutional Implicit Reconstruction and Completion for Large-Scale Indoor Scene

Hao-Xiang Chen, Jiahui Huang, Tai-Jiang Mu, Shi-min Hu

D3Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding

Zhenyu Chen, Qirui Wu, Matthias Nießner, Angel X. Chang

Selection and Cross Similarity for Event-Image Deep Stereo

Hoonhee Cho, Kuk-Jin Yoon

Relative Pose from SIFT Features

Daniel Barath, Zuzana Kukelova

EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching

Qiang Wang, Shaohuai Shi, Kaiyong Zhao, Xiaowen Chu

TAVA: Template-Free Animatable Volumetric Actors

Ruilong Li, Julian Tanke, Minh Vo, Michael Zollhöfer, Jürgen Gall

NeuMan: Neural Human Radiance Field from a Single Video

Wei Jiang, Kwang Moo Yi, Golnoosh Samei, Oncel Tuzel, Anurag Ranjan

HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields

Kim Jun-Seong, Kim Yu-Ji, Moon Ye-Bin, Tae-Hyun Oh

SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data

Eldar Insafutdinov, Dylan Campbell, João F. Henriques, Andrea Vedaldi

NeFSAC: Neurally Filtered Minimal Samples

Luca Cavalli, Marc Pollefeys, Daniel Barath

TensoRF: Tensorial Radiance Fields

Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, Hao Su

Latency-Aware Collaborative Perception

Zixing Lei, Shunli Ren, Yue Hu, Wenjun Zhang, Siheng Chen

Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images

Yuan Liu, Yilin Wen, Sida Peng, Cheng Lin, Xiaoxiao Long

PCW-Net: Pyramid Combination and Warping Cost Volume for Stereo Matching

Zhelun Shen, Yuchao Dai, Xibin Song, Zhibo Rao, Dingfu Zhou

Context-Enhanced Stereo Transformer

Weiyu Guo, Zhaoshuo Li, Yongkui Yang, Zheng Wang, Russell H. Taylor

Depth Field Networks for Generalizable Multi-View Scene Representation

Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Greg Shakhnarovich

Disentangling Object Motion and Occlusion for Unsupervised Multi-Frame Monocular Depth

Ziyue Feng, Liang Yang, Longlong Jing, Haiyan Wang, YingLi Tian

SparseNeuS: Fast Generalizable Neural Surface Reconstruction from Sparse Views

Xiaoxiao Long, Cheng Lin, Peng Wang, Taku Komura, Wenping Wang

Real-Time Neural Character Rendering with Pose-Guided Multiplane Images

Hao Ouyang, Bo Zhang, Pan Zhang, Hao Yang, Jiaolong Yang

Improving RGB-D Point Cloud Registration by Learning Multi-Scale Local Linear Transformation

Ziming Wang, Xiaoliang Huo, Zhenghao Chen, Jing Zhang, Lu Sheng

Generalizable Patch-Based Neural Rendering

Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia

NeuRIS: Neural Reconstruction of Indoor Scenes Using Normal Priors

Jiepeng Wang, Peng Wang, Xiaoxiao Long, Christian Theobalt, Taku Komura

Decomposing the Tangent of Occluding Boundaries according to Curvatures and Torsions

Huizong Yang, Anthony Yezzi

BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-Scale Scene Rendering

Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Anyi Rao

Learning Online Multi-sensor Depth Fusion

Erik Sandstrom, Martin R. Oswald, Suryansh Kumar, Silvan Weder, Fisher Yu

NeXT: Towards High Quality Neural Radiance Fields via Multi-Skip Transformer

Yunxiao Wang, Yanjie Li, Peidong Liu, Tao Dai, Shu-Tao Xia

Neural Density-Distance Fields

Itsuki Ueda, Yoshihiro Fukuhara, Hirokatsu Kataoka, Hiroaki Aizawa, Hidehiko Shishido

NDF: Neural Deformable Fields for Dynamic Human Modelling

Ruiqi Zhang, Jie Chen

ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer

Hongkai Chen, Zixin Luo, Lei Zhou, Yurun Tian, Mingmin Zhen

ARAH: Animatable Volume Rendering of Articulated Human SDFs

Shaofei Wang, Katja Schwarz, Andreas Geiger, Siyu Tang

Multiview Stereo with Cascaded Epipolar RAFT

Zeyu Ma, Zachary Teed, Jia Deng

ARF: Artistic Radiance Fields

Kai Zhang, Nick Kolkin, Sai Bi, Fujun Luan, Zexiang Xu

NeILF: Neural Incident Light Field for Physically-Based Material Estimation

Yao Yao, Jingyang Zhang, Jingbo Liu, Yihang Qu, Tian Fang

Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxes

Julian Chibane, Francis Engelmann, Tuan Anh Tran, Gerard Pons-Moll

RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering

Di Chang, Aljaz Bozic, Tong Zhang, Qingsong Yan, Yingcong Chen

SALVe: Semantic Alignment Verification for Floorplan Reconstruction from Sparse Panoramas

John Lambert, Yuguang Li, Ivaylo Boyadzhiev, Lambert Wixson, Manjunath Narayana

KD-MVS: Knowledge Distillation Based Self-Supervised Learning for Multi-View Stereo

Yikang Ding, Qingtian Zhu, Xiangyue Liu, Wentao Yuan, Haotian Zhang

R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis

Huan Wang, Jian Ren, Zeng Huang, Kyle Olszewski, Menglei Chai

RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild

Jason Y. Zhang, Deva Ramanan, Shubham Tulsiani

MVSTER: Epipolar Transformer for Efficient Multi-View Stereo

Xiaofeng Wang, Zheng Zhu, Guan Huang, Fangbo Qin, Yun Ye

PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds

Zhaoqi Leng, Shuyang Cheng, Benjamin Caine, Weiyue Wang, Xiao Zhang

DSR – A Dual Subspace Re-Projection Network for Surface Anomaly Detection

Vitjan Zavrtanik, Matej Kristan, Danijel Skočaj

Towards Efficient and Effective Self-Supervised Learning of Visual Representations

Sravanti Addepalli, Kaushal Bhogale, Priyam Dey, R. Venkatesh Babu

Federated Self-Supervised Learning for Video Understanding

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

Understanding Collapse in Non-Contrastive Siamese Representation Learning

Alexander C. Li, Alexei A. Efros, Deepak Pathak

Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization

Hannah M. Schlüter, Jeremy Tan, Benjamin Hou, Bernhard Kainz

Masked Siamese Networks for Label-Efficient Learning

Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes

Towards Realistic Semi-Supervised Learning

Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah

Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space

Shuo Li, Fang Liu, Zehua Hao, Kaibo Zhao, Licheng Jiao

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

OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning

Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah

Semi-Leak: Membership Inference Attacks against Semi-Supervised Learning

Xinlei He, Hongbin Liu, Neil Zhenqiang Gong, Yang Zhang

DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model

Boah Kim, Inhwa Han, Jong Chul Ye

Stochastic Consensus: Enhancing Semi-Supervised Learning with Consistency of Stochastic Classifiers

Hui Tang, Lin Sun, Kui Jia

Object Discovery via Contrastive Learning for Weakly Supervised Object Detection

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

Improving Self-Supervised Lightweight Model Learning via Hard-Aware Metric Distillation

Hao Liu, Mang Ye

PSS: Progressive Sample Selection for Open-World Visual Representation Learning

Tianyue Cao, Yongxin Wang, Yifan Xing, Tianjun Xiao, Tong He

CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation

Renhao Wang, Hang Zhao, Yang Gao

Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition

Shreyank N Gowda, Marcus Rohrbach, Frank Keller, Laura Sevilla-Lara

Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling

Jian Hu, Haowen Zhong, Fei Yang, Shaogang Gong, Guile Wu

Coarse-to-Fine Incremental Few-Shot Learning

Xiang Xiang, Yuwen Tan, Qian Wan, Jing Ma, Alan Yuille

Completely Self-Supervised Crowd Counting via Distribution Matching

Deepak Babu Sam, Abhinav Agarwalla, Jimmy Joseph, Vishwanath A. Sindagi, R. Venkatesh Babu

Semi-Supervised Object Detection via Virtual Category Learning

Changrui Chen, Kurt Debattista, Jungong Han

Domain Invariant Masked Autoencoders for Self-Supervised Learning from Multi-Domains

Haiyang Yang, SHIXIANG TANG, Meilin Chen, Yizhou Wang, Feng Zhu

Data Invariants to Understand Unsupervised Out-of-Distribution Detection

Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila

Self-Supervised Classification Network

Elad Amrani, Leonid Karlinsky, Alex Bronstein

Semantic-Aware Fine-Grained Correspondence

Yingdong Hu, Renhao Wang, Kaifeng Zhang, Yang Gao

Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation

Zhonghua Wu, Yicheng Wu, Guosheng Lin, Jianfei Cai, Chen Qian

CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation

Lu Qi, Jason Kuen, Zhe Lin, Jiuxiang Gu, Fengyun Rao

Revisiting the Critical Factors of Augmentation-Invariant Representation Learning

Junqiang Huang, Xiangwen Kong, Xiangyu Zhang

Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning

K L Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Kossar Pourahmadi, Akshayvarun Subramanya

GOCA: Guided Online Cluster Assignment for Self-Supervised Video Representation Learning

Huseyin Coskun, Alireza Zareian, Joshua L. Moore, Federico Tombari, Chen Wang

Decoupled Adversarial Contrastive Learning for Self-Supervised Adversarial Robustness

Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Axi Niu, Jiu Feng

W2N: Switching from Weak Supervision to Noisy Supervision for Object Detection

Zitong Huang, Yiping Bao, Bowen Dong, Erjin Zhou, Wangmeng Zuo

FedX: Unsupervised Federated Learning with Cross Knowledge Distillation

Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu

ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency Regularization

Jiwon Kim, Youngjo Min, Daehwan Kim, Gyuseong Lee, Junyoung Seo

A Closer Look at Invariances in Self-Supervised Pre-training for 3D Vision

Lanxiao Li, Michael Heizmann

Diverse Learner: Exploring Diverse Supervision for Semi-Supervised Object Detection

Linfeng Li, Minyue Jiang, Yue Yu, Wei Zhang, Xiangru Lin

Domain Adaptive Video Segmentation via Temporal Pseudo Supervision

Yun Xing, Dayan Guan, Jiaxing Huang, Shijian Lu

Semi-Supervised Vision Transformers

Zejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang

Synergistic Self-Supervised and Quantization Learning

Yun-Hao Cao, Peiqin Sun, Yechang Huang, Jianxin Wu, Shuchang Zhou

United Defocus Blur Detection and Deblurring via Adversarial Promoting Learning

Wenda Zhao, Fei Wei, You He, Huchuan Lu

MemSAC: Memory Augmented Sample Consistency for Large Scale Domain Adaptation

Tarun Kalluri, Astuti Sharma, Manmohan Chandraker

RDA: Reciprocal Distribution Alignment for Robust Semi-Supervised Learning

Yue Duan, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi

Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization

Qi Wei, Haoliang Sun, Xiankai Lu, Yilong Yin

CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation

Feng Wang, Huiyu Wang, CHEN WEI, Alan Yuille, Wei Shen

Multi-Granularity Distillation Scheme towards Lightweight Semi-Supervised Semantic Segmentation

Jie Qin, Jie Wu, Ming Li, Xuefeng Xiao, Min Zheng

Dense Siamese Network for Dense Unsupervised Learning

Wenwei Zhang, Jiangmiao Pang, Kai Chen, Chen Change Loy

Max Pooling with Vision Transformers Reconciles Class and Shape in Weakly Supervised Semantic Segmentation

Simone Rossetti, Damiano Zappia, Marta Sanzari, Marco Schaerf, Fiora Pirri

Unsupervised Selective Labeling for More Effective Semi-Supervised Learning

Xudong Wang, Long Lian, Stella X. Yu

Dual-Domain Self-Supervised Learning and Model Adaption for Deep Compressive Imaging

Yuhui Quan, Xinran Qin, Tongyao Pang, Hui Ji

SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation

Yang Zou, Jongheon Jeong, Latha Pemula, Dongqing Zhang, Onkar Dabeer

HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation

Lukas Hoyer, Dengxin Dai, Luc Van Gool

Locally Varying Distance Transform for Unsupervised Visual Anomaly Detection

Wen-Yan Lin, Zhonghang Liu, Siying Liu

MVP: Multimodality-Guided Visual Pre-training

Longhui Wei, Lingxi Xie, Wengang Zhou, Houqiang Li, Qi Tian