ECCV 2022

1,645 papers

Geometry-Guided Progressive NeRF for Generalizable and Efficient Neural Human Rendering

Mingfei Chen, Jianfeng Zhang, Xiangyu Xu, Lijuan Liu, Yujun Cai

GAN Cocktail: Mixing GANs without Dataset Access

Omri Avrahami, Dani Lischinski, Ohad Fried

ChunkyGAN: Real Image Inversion via Segments

Adéla Šubrtová, David Futschik, Jan Čech, Michal Lukac, Eli Shechtman

Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes

Sam Bond-Taylor, Peter Hessey, Hiroshi Sasaki, Toby P. Breckon, Chris G. Willcocks

Outpainting by Queries

Kai Yao, Penglei Gao, Xi Yang, Jie Sun, Rui Zhang

Neural Scene Decoration from a Single Photograph

Hong-Wing Pang, Yingshu Chen, Phuoc-Hieu Le, Binh-Son Hua, Thanh Nguyen

Spatially Invariant Unsupervised 3D Object-Centric Learning and Scene Decomposition

Tianyu Wang, miaomiao Liu, Kee Siong Ng

Exploring Gradient-Based Multi-directional Controls in GANs

Zikun Chen, Ruowei Jiang, Brendan Duke, Han Zhao, Parham Aarabi

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

Junghyuk Lee, Jong-Seok Lee

Improved Masked Image Generation with Token-Critic

José Lezama, Huiwen Chang, Lu Jiang, Irfan Essa

Diverse Image Inpainting with Normalizing Flow

Cairong Wang, Yiming Zhu, Chun Yuan

RFNet-4D: Joint Object Reconstruction and Flow Estimation from 4D Point Clouds

Tuan-Anh Vu, Thanh Nguyen, Binh-Son Hua, Quang-Hieu Pham, Sai-Kit Yeung

Learning to Generate Realistic LiDAR Point Clouds

Vlas Zyrianov, Xiyue Zhu, Shenlong Wang

Accelerating Score-Based Generative Models with Preconditioned Diffusion Sampling

Hengyuan Ma, Li Zhang, Xiatian Zhu, Jianfeng Feng

Entropy-Driven Sampling and Training Scheme for Conditional Diffusion Generation

Guangcong Zheng, Shengming Li, Hui Wang, Taiping Yao, Yang Chen

SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image

Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi

RamGAN: Region Attentive Morphing GAN for Region-Level Makeup Transfer

Jianfeng Xiang, Junliang Chen, Wenshuang Liu, Xianxu Hou, Linlin Shen

"HVC-Net: Unifying Homography, Visibility, and Confidence Learning for Planar Object Tracking"

Haoxian Zhang, Yonggen Ling

View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums

Conghao Wong, Beihao Xia, Ziming Hong, Qinmu Peng, Wei Yuan

PREF: Predictability Regularized Neural Motion Fields

Liangchen Song, Xuan Gong, Benjamin Planche, Meng Zheng, DAVID DOERMANN

"FEAR: Fast, Efficient, Accurate and Robust Visual Tracker"

Vasyl Borsuk, Roman Vei, Orest Kupyn, Tetiana Martyniuk, Igor Krashenyi

Large-Displacement 3D Object Tracking with Hybrid Non-local Optimization

Xuhui Tian, Xinran Lin, Fan Zhong, Xueying Qin

S2F2: Single-Stage Flow Forecasting for Future Multiple Trajectories Prediction

Yu-Wen Chen, Hsuan-Kung Yang, Chu-Chi Chiu, Chun-Yi Lee

MeshLoc: Mesh-Based Visual Localization

Vojtech Panek, Zuzana Kukelova, Torsten Sattler

Robust Visual Tracking by Segmentation

Matthieu Paul, Martin Danelljan, Christoph Mayer, Luc Van Gool

Learned Monocular Depth Priors in Visual-Inertial Initialization

Yunwen Zhou, Abhishek Kar, Eric Turner, Adarsh Kowdle, Chao X. Guo

Towards Sequence-Level Training for Visual Tracking

Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho

HULC: 3D HUman Motion Capture with Pose Manifold SampLing and Dense Contact Guidance

Soshi Shimada, Vladislav Golyanik, Zhi Li, Patrick Pérez, Weipeng Xu

Tracking Every Thing in the Wild

Siyuan Li, Martin Danelljan, Henghui Ding, Thomas E. Huang, Fisher Yu

TEMOS: Generating Diverse Human Motions from Textual Descriptions

Mathis Petrovich, Michael J. Black, Gül Varol

Social-Implicit: Rethinking Trajectory Prediction Evaluation and the Effectiveness of Implicit Maximum Likelihood Estimation

Abduallah Mohamed, Deyao Zhu, Warren Vu, Mohamed Elhoseiny, Christian Claudel

Tackling Background Distraction in Video Object Segmentation

Suhwan Cho, Heansung Lee, Minhyeok Lee, Chaewon Park, Sungjun Jang

Hierarchical Feature Embedding for Visual Tracking

Zhixiong Pi, Weitao Wan, Chong Sun, Changxin Gao, Nong Sang

Optical Flow Training under Limited Label Budget via Active Learning

Shuai Yuan, Xian Sun, Hannah Kim, Shuzhi Yu, Carlo Tomasi

Aware of the History: Trajectory Forecasting with the Local Behavior Data

Yiqi Zhong, Zhenyang Ni, Siheng Chen, Ulrich Neumann

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

Boyu Chen, Peixia Li, LEI BAI, Lei Qiao, Qiuhong Shen

MotionCLIP: Exposing Human Motion Generation to CLIP Space

Guy Tevet, Brian Gordon, Amir Hertz, Amit H. Bermano, Daniel Cohen-or

Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework

Botao Ye, Hong Chang, Bingpeng MA, Shiguang Shan, Xilin Chen

Point Cloud Compression with Range Image-Based Entropy Model for Autonomous Driving

Sukai Wang, Ming Liu

E-Graph: Minimal Solution for Rigid Rotation with Extensibility Graphs

Yanyan Li, Federico Tombari

Sequential Multi-View Fusion Network for Fast LiDAR Point Motion Estimation

Gang Zhang, Xiaoyan Li, Zhenhua Wang

Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction

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

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

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

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

Social ODE: Multi-agent Trajectory Forecasting with Neural Ordinary Differential Equations

Song Wen, Hao Wang, Dimitris N. Metaxas

Robust Landmark-Based Stent Tracking in X-Ray Fluoroscopy

Luojie Huang, Yikang Liu, Li Chen, Eric Z. Chen, Xiao Chen

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

Jenny Schmalfuss, Philipp Scholze, Andrés Bruhn

Disentangling Architecture and Training for Optical Flow

Deqing Sun, Charles Herrmann, Fitsum Reda, Michael Rubinstein, David J. Fleet

AiATrack: Attention in Attention for Transformer Visual Tracking

Shenyuan Gao, Chunluan Zhou, Chao Ma, Xinggang Wang, Junsong Yuan

Hierarchical Latent Structure for Multi-modal Vehicle Trajectory Forecasting

Dooseop Choi, KyoungWook Min

Towards Generic 3D Tracking in RGBD Videos: Benchmark and Baseline

JINYU YANG, Zhongqun Zhang, Zhe Li, Hyung Jin Chang, Ales Leonardis

CMT: Context-Matching-Guided Transformer for 3D Tracking in Point Clouds

Zhiyang Guo, Yunyao Mao, Wengang Zhou, Min Wang, Houqiang Li

Tracking Objects As Pixel-Wise Distributions

Zelin Zhao, Ze Wu, Yueqing Zhuang, Boxun Li, Jiaya Jia

Particle Video Revisited: Tracking through Occlusions Using Point Trajectories

Adam W. Harley, Zhaoyuan Fang, Katerina Fragkiadaki

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

Aleksandr Kim, Guillem Braso, Aljosa Osep, Laura Leal-Taixé

Robust Multi-Object Tracking by Marginal Inference

Yifu Zhang, CHUNYU WANG, Xinggang Wang, Wenjun Zeng, Wenyu Liu

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Yifu Zhang, Peize Sun, Yi Jiang, Dongdong Yu, Fucheng Weng

Towards Grand Unification of Object Tracking

Bin Yan, Yi Jiang, Peize Sun, Dong Wang, Zehuan Yuan

Learning Uncoupled-Modulation CVAE for 3D Action-Conditioned Human Motion Synthesis

Chongyang Zhong, Lei Hu, Zihao Zhang, Shihong Xia

Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images

Kevin Thandiackal, Boqi Chen, Pushpak Pati, Guillaume Jaume, Drew F. K. Williamson

RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-Guided Disease Classification

Moinak Bhattacharya, Shubham Jain, Prateek Prasanna

K-SALSA: K-Anonymous Synthetic Averaging of Retinal Images via Local Style Alignment

Minkyu Jeon, Hyeonjin Park, Hyunwoo J. Kim, Michael Morley, Hyunghoon Cho

Accurate Detection of Proteins in Cryo-Electron Tomograms from Sparse Labels

Qinwen Huang, Ye Zhou, Hsuan-Fu Liu, Alberto Bartesaghi

CXR Segmentation by AdaIN-Based Domain Adaptation and Knowledge Distillation

Yujin Oh, Jong Chul Ye

Graph Neural Network for Cell Tracking in Microscopy Videos

Tal Ben-Haim, Tammy Riklin Raviv

Semi-Supervised Keypoint Detector and Descriptor for Retinal Image Matching

Jiazhen Liu, Xirong Li, Qijie Wei, Jie Xu, Dayong Ding

DLME: Deep Local-Flatness Manifold Embedding

Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Kai Wang

UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier

Yutong Xie, Jianpeng Zhang, Yong Xia, Qi Wu

CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images

Axel Levy, Frederic Poitevin, Julien Martel, Youssef Nashed, Ariana Peck

ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images

Jiawei Yang, Hanbo Chen, Yuan Liang, Junzhou Huang, Lei He

Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation

Wenxuan Wang, Chen Chen, Jing Wang, Sen Zha, Yan Zhang

Ultra-High-Resolution Unpaired Stain Transformation via Kernelized Instance Normalization

Ming-Yang Ho, Min-Sheng Wu, Che-Ming Wu

One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement

Zihao Yin, Ping Gong, CHUNYU WANG, Yizhou Yu, Yizhou Wang

Personalizing Federated Medical Image Segmentation via Local Calibration

Jiacheng Wang, Yueming Jin, Liansheng Wang

Auto-FedRL: Federated Hyperparameter Optimization for Multi-Institutional Medical Image Segmentation

Pengfei Guo, Dong Yang, Ali Hatamizadeh, An Xu, Ziyue Xu

Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration

Ziqi Zhou, Lei Qi, Yinghuan Shi

Graph-Constrained Contrastive Regularization for Semi-Weakly Volumetric Segmentation

Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen

Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection

Ziwei Zhao, Dong Wang, Yihong Chen, Ziteng Wang, Liwei Wang

PointScatter: Point Set Representation for Tubular Structure Extraction

Dong Wang, Zhao Zhang, Ziwei Zhao, Yuhang Liu, Yihong Chen

Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks

Bernd Prach, Christoph H. Lampert

Multi-Exit Semantic Segmentation Networks

Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas Lane

SAU: Smooth Activation Function Using Convolution with Approximate Identities

Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey

BA-Net: Bridge Attention for Deep Convolutional Neural Networks

Yue Zhao, Junzhou Chen, Zirui Zhang, Ronghui Zhang

Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps

Alireza Ganjdanesh, Shangqian Gao, Heng Huang

LA3: Efficient Label-Aware AutoAugment

Mingjun Zhao, Shan Lu, Zixuan Wang, Xiaoli Wang, Di Niu

Filter Pruning via Feature Discrimination in Deep Neural Networks

Zhiqiang He, Yaguan Qian, Yuqi Wang, Bin Wang, Xiaohui Guan

SSBNet: Improving Visual Recognition Efficiency by Adaptive Sampling

Ho Man Kwan, Shenghui Song

Revisiting Batch Norm Initialization

Jim Davis, Logan Frank

Black-Box Few-Shot Knowledge Distillation

Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh

Uncertainty-DTW for Time Series and Sequences

Lei Wang, Piotr Koniusz

LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds

Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi

ViTAS: Vision Transformer Architecture Search

Xiu Su, Shan You, Jiyang Xie, Mingkai Zheng, Fei Wang

Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction

Vincent LE GUEN, Clément Rambour, Nicolas Thome

ScaleNet: Searching for the Model to Scale

Jiyang Xie, Xiu Su, Shan You, Zhanyu Ma, Fei Wang

Equivariant Hypergraph Neural Networks

Jinwoo Kim, Saeyoon Oh, Sungjun Cho, Seunghoon Hong

TinyViT: Fast Pretraining Distillation for Small Vision Transformers

Kan Wu, Jinnian Zhang, Houwen Peng, Mengchen Liu, Bin Xiao

AMixer: Adaptive Weight Mixing for Self-Attention Free Vision Transformers

Yongming Rao, Wenliang Zhao, Jie Zhou, Jiwen Lu

"UniNet: Unified Architecture Search with Convolution, Transformer, and MLP"

Jihao Liu, Xin Huang, Guanglu Song, hongsheng Li, Yu Liu

Unpaired Image Translation via Vector Symbolic Architectures

Justin Theiss, Jay Leverett, Daeil Kim, Aayush Prakash

Active Label Correction Using Robust Parameter Update and Entropy Propagation

Kwang In Kim