ECCV 2020

1,358 papers

Improving Deep Video Compression by Resolution-adaptive Flow Coding

Zhihao Hu, Zhenghao Chen, Dong Xu, Guo Lu, Wanli Ouyang

S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search

Zhihang Yuan, Bingzhe Wu, Guangyu Sun, Zheng Liang, Shiwan Zhao

Multitask Learning Strengthens Adversarial Robustness

Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song

A Competence-aware Curriculum for Visual Concepts Learning via Question Answering

Qing Li, Siyuan Huang, Yining Hong, Song-chun Zhu

Self-Challenging Improves Cross-Domain Generalization

Zeyi Huang, Haohan Wang, Eric P. Xing, Dong Huang

In-Home Daily-Life Captioning Using Radio Signals

Lijie Fan, Tianhong Li, Yuan Yuan, Dina Katabi

Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification

Yang Zou, Xiaodong Yang, Zhiding Yu, B.V.K. Vijaya Kumar, Jan Kautz

Post-Training Piecewise Linear Quantization for Deep Neural Networks

Jun Fang, Ali Shafiee, Hamzah Abdel-Aziz, David Thorsley, Georgios Georgiadis

Visual Memorability for Robotic Interestingness via Unsupervised Online Learning

Chen Wang, Wenshan Wang, Yuheng Qiu, Yafei Hu, Sebastian Scherer

Suppress and Balance: A Simple Gated Network for Salient Object Detection

Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Lei Zhang

Aligning and Projecting Images to Class-conditional Generative Networks

Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann

Diffraction Line Imaging

Mark Sheinin, Dinesh N. Reddy, Matthew O’Toole, Srinivasa G. Narasimhan

Appearance Consensus Driven Self-Supervised Human Mesh Recovery

Jogendra Nath Kundu, Mugalodi Rakesh, Varun Jampani, Rahul Mysore Venkatesh, R. Venkatesh Babu

Semantic Flow for Fast and Accurate Scene Parsing

Xiangtai Li, Ansheng You, Zhen Zhu, Houlong Zhao, Maoke Yang

Learning Feature Descriptors using Camera Pose Supervision

Qianqian Wang, Xiaowei Zhou, Bharath Hariharan, Noah Snavely

Prototype Rectification for Few-Shot Learning

Jinlu Liu, Liang Song, Yongqiang Qin

Learning Stereo from Single Images

Jamie Watson, Oisin Mac Aodha, Daniyar Turmukhambetov, Gabriel J. Brostow, Michael Firman

Forecasting Human-Object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video

Miao Liu, Siyu Tang, Yin Li, James M. Rehg

The Phong Surface: Efficient 3D Model Fitting using Lifted Optimization

Jingjing Shen, Thomas J. Cashman, Qi Ye, Tim Hutton, Toby Sharp

Multi-View Optimization of Local Feature Geometry

Mihai Dusmanu, Johannes L. Schonberger, Marc Pollefeys

Content-Aware Unsupervised Deep Homography Estimation

Jirong Zhang, Chuan Wang, Shuaicheng Liu, Lanpeng Jia, Nianjin Ye

Gradient Centralization: A New Optimization Technique for Deep Neural Networks

Hongwei Yong, Jianqiang Huang, Xiansheng Hua, Lei Zhang

Targeted Attack for Deep Hashing based Retrieval

Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo

Model-Agnostic Boundary-Adversarial Sampling for Test-Time Generalization in Few-Shot learning

Jaekyeom Kim, Hyoungseok Kim, Gunhee Kim

Du²Net: Learning Depth Estimation from Dual-Cameras and Dual-Pixels

Yinda Zhang, Neal Wadhwa, Sergio Orts-Escolano, Christian Häne, Sean Fanello

Regularization with Latent Space Virtual Adversarial Training

Genki Osada, Budrul Ahsan, Revoti Prasad Bora, Takashi Nishide

BorderDet: Border Feature for Dense Object Detection

Han Qiu, Yuchen Ma, Zeming Li, Songtao Liu, Jian Sun

Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation

Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin

Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images

Heming Zhu, Yu Cao, Hang Jin, Weikai Chen, Dong Du

Learn to Recover Visible Color for Video Surveillance in a Day

Guangming Wu, Yinqiang Zheng, Zhiling Guo, Zekun Cai, Xiaodan Shi

A Consistently Fast and Globally Optimal Solution to the Perspective-n-Point Problem

George Terzakis, Manolis Lourakis

Learning and Aggregating Deep Local Descriptors for Instance-level Recognition

Giorgos Tolias, Tomas Jenicek, Ondřej Chum

MatryODShka: Real-time 6DoF Video View Synthesis using Multi-Sphere Images

Benjamin Attal, Selena Ling, Aaron Gokaslan, Christian Richardt, James Tompkin

ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenes

Panos Achlioptas, Ahmed Abdelreheem, Fei Xia, Mohamed Elhoseiny, Leonidas Guibas

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi

Long-term Human Motion Prediction with Scene Context

Zhe Cao, Hang Gao, Karttikeya Mangalam, Qi-Zhi Cai, Minh Vo

Compare and Reweight: Distinctive Image Captioning Using Similar Images Sets

Jiuniu Wang, Wenjia Xu, Qingzhong Wang, Antoni B. Chan

Rewriting a Deep Generative Model

David Bau, Steven Liu, Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba

Privacy Preserving Structure-from-Motion

Marcel Geppert, Viktor Larsson, Pablo Speciale, Johannes L. Schonberger, Marc Pollefeys

Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset

Menglin Jia, Mengyun Shi, Mikhail Sirotenko, Yin Cui, Claire Cardie

MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution

Taojiannan Yang, Sijie Zhu, Chen Chen, Shen Yan, Mi Zhang

Conditional Convolutions for Instance Segmentation

Zhi Tian, Chunhua Shen, Hao Chen

Segment as Points for Efficient Online Multi-Object Tracking and Segmentation

Zhenbo Xu, Wei Zhang, Xiao Tan, Wei Yang, Huan Huang

Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3D Reconstruction with Symmetry

Yifan Xu, Tianqi Fan, Yi Yuan, Gurprit Singh

DeepSFM: Structure From Motion Via Deep Bundle Adjustment

Xingkui Wei, Yinda Zhang, Zhuwen Li, Yanwei Fu, Xiangyang Xue

End-to-End Object Detection with Transformers

Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov

VoxelPose: Towards Multi-Camera 3D Human Pose Estimation in Wild Environment

Hanyue Tu, CHUNYU WANG, Wenjun Zeng

Crowdsampling the Plenoptic Function

Zhengqi Li, Wenqi Xian, Abe Davis, Noah Snavely

House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation

Nelson Nauata, Kai-Hung Chang, Chin-Yi Cheng, Greg Mori, Yasutaka Furukawa

Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation

Yingda Xia, Yi Zhang, Fengze Liu, Wei Shen, Alan L. Yuille

Invertible Image Rescaling

Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He

Self6D: Self-Supervised Monocular 6D Object Pose Estimation

Gu Wang, Fabian Manhardt, Jianzhun Shao, Xiangyang Ji, Nassir Navab

AiR: Attention with Reasoning Capability

Shi Chen, Ming Jiang, Jinhui Yang, Qi Zhao

Empowering Relational Network by Self-Attention Augmented Conditional Random Fields for Group Activity Recognition

Rizard Renanda Adhi Pramono, Yie Tarng Chen, Wen Hsien Fang

Describing Textures using Natural Language

Chenyun Wu, Mikayla Timm, Subhransu Maji

NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search

Zhichao Lu, Kalyanmoy Deb, Erik Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti

DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares

Yizhak Ben-Shabat, Stephen Gould

Quaternion Equivariant Capsule Networks for 3D Point Clouds

Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas Guibas