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ECCV 2020

1,358 papers

Unpaired Learning of Deep Image Denoising

Xiaohe Wu, Ming Liu, Yue Cao, Dongwei Ren, Wangmeng Zuo

Grounded Situation Recognition

Sarah Pratt, Mark Yatskar, Luca Weihs, Ali Farhadi, Aniruddha Kembhavi

Generative Sparse Detection Networks for 3D Single-shot Object Detection

JunYoung Gwak, Christopher Choy, Silvio Savarese

Multimodal Shape Completion via Conditional Generative Adversarial Networks

Rundi Wu, Xuelin Chen, Yixin Zhuang, Baoquan Chen

Surface Normal Estimation of Tilted Images via Spatial Rectifier

Tien Do, Khiem Vuong, Stergios I. Roumeliotis, Hyun Soo Park

Feature Representation Matters: End-to-End Learning for Reference-based Image Super-resolution

Yanchun Xie, Jimin Xiao, Mingjie Sun, Chao Yao, Kaizhu Huang

Multi-modal Transformer for Video Retrieval

Valentin Gabeur, Chen Sun, Karteek Alahari, Cordelia Schmid

Learning to Scale Multilingual Representations for Vision-Language Tasks

Andrea Burns, Donghyun Kim, Derry Wijaya, Kate Saenko, Bryan A. Plummer

Hamiltonian Dynamics for Real-World Shape Interpolation

Marvin Eisenberger, Daniel Cremers

Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets

Tong Wu, Qingqiu Huang, Ziwei Liu, Yu Wang, Dahua Lin

Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation

Huiyu Wang, Yukun Zhu, Bradley Green, Hartwig Adam, Alan Yuille

Binarized Neural Network for Single Image Super Resolution

Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Heng Huang

GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework

Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, Zhangyang Wang

Semi-Siamese Training for Shallow Face Learning

Hang Du, Hailin Shi, Yuchi Liu, Jun Wang, Zhen Lei

TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images

Jianxin Lin, Yingxue Pang, Yingce Xia, Zhibo Chen, Jiebo Luo

Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors

Zuxuan Wu, Ser-Nam Lim, Larry S. Davis, Tom Goldstein

Contrastive Learning for Weakly Supervised Phrase Grounding

Tanmay Gupta, Arash Vahdat, Gal Chechik, Xiaodong Yang, Jan Kautz

REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets

Angelina Wang, Arvind Narayanan, Olga Russakovsky

Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks

Jeffrey O. Zhang, Alexander Sax, Amir Zamir, Leonidas Guibas, Jitendra Malik

Rethinking Bottleneck Structure for Efficient Mobile Network Design

Daquan Zhou, Qibin Hou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan

Video Object Segmentation with Episodic Graph Memory Networks

Xiankai Lu, Wenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen

S2DNet: Learning Image Features for Accurate Sparse-to-Dense Matching

Hugo Germain, Guillaume Bourmaud, Vincent Lepetit

Circumventing Outliers of AutoAugment with Knowledge Distillation

Longhui Wei, An Xiao, Lingxi Xie, XIAOPENG ZHANG, Xin Chen

DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation

Xuefei Ning, Tianchen Zhao, Wenshuo Li, Peng Lei, Yu Wang

PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding

Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas Guibas

TIDE: A General Toolbox for Identifying Object Detection Errors

Daniel Bolya, Sean Foley, James Hays, Judy Hoffman

Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometry

He Chen, Pengfei Guo, Pengfei Li, Gim Hee Lee, Gregory Chirikjian

Convolutional Occupancy Networks

Songyou Peng, Michael Niemeyer, Lars Mescheder, Marc Pollefeys, Andreas Geiger

Learning Open Set Network with Discriminative Reciprocal Points

Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li

Neural Design Network: Graphic Layout Generation with Constraints

Hsin-Ying Lee, Lu Jiang, Irfan Essa, Phuong B Le, Haifeng Gong

Learning to Plan with Uncertain Topological Maps

Edward Beeching, Jilles Dibangoye, Olivier Simonin, Christian Wolf

Learning Delicate Local Representations for Multi-Person Pose Estimation

Yuanhao Cai, Zhicheng Wang, zhengxiong luo, Binyi Yin, Angang Du

Corner Proposal Network for Anchor-free, Two-stage Object Detection

Kaiwen Duan, Lingxi Xie, Honggang Qi, Song Bai, Qingming Huang

Learning Gradient Fields for Shape Generation

Ruojin Cai, Guandao Yang, Hadar Averbuch-Elor, Zekun Hao, Serge Belongie

Identity-Guided Human Semantic Parsing for Person Re-Identification

Kuan Zhu, Haiyun Guo, Zhiwei Liu, Ming Tang, Jinqiao Wang

PointMixup: Augmentation for Point Clouds

Yunlu Chen, Vincent Tao Hu, Efstratios Gavves, Thomas Mensink, Pascal Mettes

Deep Reflectance Volumes: Relightable Reconstructions from Multi-View Photometric Images

Sai Bi, Zexiang Xu, Kalyan Sunkavalli, Milos Hasan, Yannick Hold-Geoffroy

Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve

Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai

ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices

Xiangyu He, Zitao Mo, Ke Cheng, Weixiang Xu, Qinghao Hu

TSIT: A Simple and Versatile Framework for Image-to-Image Translation

Liming Jiang, Changxu Zhang, Mingyang Huang, Chunxiao Liu, Jianping Shi

ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval

Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-jun Li, Osamu Yoshie

TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning

Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu

ForkGAN: Seeing into the Rainy Night

Ziqiang Zheng, Yang Wu, Xinran Han, Jianbo Shi

Learning to Localize Actions from Moments

Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo

TopoGAN: A Topology-Aware Generative Adversarial Network

Fan Wang, Huidong Liu, Dimitris Samaras, Chao Chen

Hybrid Models for Open Set Recognition

Hongjie Zhang, Ang Li, Jie Guo, Yanwen Guo

Hierarchical Face Aging through Disentangled Latent Characteristics

Peipei Li, Huaibo Huang, Yibo Hu, Xiang Wu, Ran He

SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification

Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari

A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions

Evgenia Rusak, Lukas Schott, Roland S. Zimmermann, Julian Bitterwolf, Oliver Bringmann

Unsupervised Sketch to Photo Synthesis

Runtao Liu, Qian Yu, Stella X. Yu

LIMP: Learning Latent Shape Representations with Metric Preservation Priors

Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, Emanuele Rodolà

SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing

Garvita Tiwari, Bharat Lal Bhatnagar, Tony Tung, Gerard Pons-Moll

Learning What to Learn for Video Object Segmentation

Goutam Bhat, Felix Järemo Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg

It is not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction

Karttikeya Mangalam, Harshayu Girase, Shreyas Agarwal, Kuan-Hui Lee, Ehsan Adeli

TextCaps: a Dataset for Image Captioning with Reading Comprehension

Oleksii Sidorov, Ronghang Hu, Marcus Rohrbach, Amanpreet Singh

Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations

Hongyu Liu, Bin Jiang, Yibing Song, Wei Huang, Chao Yang

Online Invariance Selection for Local Feature Descriptors

Remi Pautrat, Viktor Larsson, Martin R. Oswald, Marc Pollefeys

Cross-Domain Cascaded Deep Translation

Oren Katzir, Dani Lischinski, Daniel Cohen-or

EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning

Bailin Li, Bowen Wu, Jiang Su, Guangrun Wang

V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction

Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng

Mapillary Planet-Scale Depth Dataset

Manuel López Antequera, Pau Gargallo, Markus Hofinger, Samuel Rota Bulò, Yubin Kuang

Synthesis and Completion of Facades from Satellite Imagery

Xiaowei Zhang, Christopher May, Daniel Aliaga

What Matters in Unsupervised Optical Flow

Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige

Learning Lane Graph Representations for Motion Forecasting

Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao

GDumb: A Simple Approach that Questions Our Progress in Continual Learning

Ameya Prabhu, Philip H. S. Torr, Puneet K. Dokania

Adversarial Generative Grammars for Human Activity Prediction

AJ Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo

Towards Streaming Perception

Mengtian Li, Yu-Xiong Wang, Deva Ramanan

Content Adaptive and Error Propagation Aware Deep Video Compression

Guo Lu, Chunlei Cai, Xiaoyun Zhang, Li Chen, Wanli Ouyang

Domain-invariant Stereo Matching Networks

FEIHU ZHANG, Xiaojuan Qi, Ruigang Yang, Victor Prisacariu, Benjamin Wah

CoReNet: Coherent 3D Scene Reconstruction from a Single RGB Image

Stefan Popov, Pablo Bauszat, Vittorio Ferrari

Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

Guolei Sun, Wenguan Wang, Jifeng Dai, Luc Van Gool

Orientation-aware Vehicle Re-identification with Semantics-guided Part Attention Network

Tsai-Shien Chen, Chih-Ting Liu, Chih-Wei Wu, Shao-Yi Chien

Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction

Bharat Lal Bhatnagar, Cristian Sminchisescu, Christian Theobalt, Gerard Pons-Moll

Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling

Xuesong Niu, Zitong Yu, Hu Han, Xiaobai Li, Shiguang Shan

Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation

Xingang Pan, Xiaohang Zhan, Bo Dai, Dahua Lin, Chen Change Loy

Appearance-Preserving 3D Convolution for Video-based Person Re-identification

Xinqian Gu, Hong Chang, Bingpeng MA, Hongkai Zhang, Xilin Chen

Motion Capture from Internet Videos

Junting Dong, Qing Shuai, Yuanqing Zhang, Xian Liu, Xiaowei Zhou