ECCV 2020

1,358 papers

Patch-wise Attack for Fooling Deep Neural Network

Lianli Gao, Qilong Zhang, Jingkuan Song, Xianglong Liu, Heng Tao Shen

Visual-Relation Conscious Image Generation from Structured-Text

Duc Minh Vo, Akihiro Sugimoto

DA4AD: End-to-End Deep Attention-based Visual Localization for Autonomous Driving

Yao Zhou, Guowei Wan, Shenhua Hou, Li Yu, Gang Wang

Weakly Supervised Instance Segmentation by Learning Annotation Consistent Instances

Aditya Arun, C.V. Jawahar, M. Pawan Kumar

Attentive Prototype Few-shot Learning with Capsule Network-based Embedding

Fangyu Wu, Jeremy S.Smith, Wenjin Lu, Chaoyi Pang, Bailing Zhang

High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images

Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton

Improving Knowledge Distillation via Category Structure

Zailiang Chen, Xianxian Zheng, Hailan Shen, Ziyang Zeng, Yukun Zhou

Interpretable Foreground Object Search As Knowledge Distillation

Boren Li, Po-Yu Zhuang, Jian Gu, Mingyang Li, Ping Tan

Attention-Based Query Expansion Learning

Albert Gordo, Filip Radenovic, Tamara Berg

VLANet: Video-Language Alignment Network for Weakly-Supervised Video Moment Retrieval

Minuk Ma, Sunjae Yoon, Junyeong Kim, Youngjoon Lee, Sunghun Kang

Pose Augmentation: Class-agnostic Object Pose Transformation for Object Recognition

Yunhao Ge, Jiaping Zhao, Laurent Itti

Boundary Content Graph Neural Network for Temporal Action Proposal Generation

Yueran Bai, Yingying Wang, Yunhai Tong, Yang Yang, Qiyue Liu

Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments

Jacob Krantz, Erik Wijmans, Arjun Majumdar, Dhruv Batra, Stefan Lee

Novel View Synthesis on Unpaired Data by Conditional Deformable Variational Auto-Encoder

Mingyu Yin, Li Sun, Qingli Li

Table Structure Recognition using Top-Down and Bottom-Up Cues

Sachin Raja, Ajoy Mondal, C V Jawahar

Adaptive Object Detection with Dual Multi-Label Prediction

Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye

Toward Fine-grained Facial Expression Manipulation

Jun Ling, Han Xue, Li Song, Shuhui Yang, Rong Xie

An Attention-driven Two-stage Clustering Method for Unsupervised Person Re-Identification

Zilong Ji, Xiaolong Zou, Xiaohan Lin, Xiao Liu, Tiejun Huang

SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation

Chenfeng Xu, Bichen Wu, Zining Wang, Wei Zhan, Peter Vajda

TP-LSD: Tri-Points Based Line Segment Detector

Siyu Huang, Fangbo Qin, Pengfei Xiong, Ning Ding, Yijia He

Fast Adaptation to Super-Resolution Networks via Meta-Learning

Seobin Park, Jinsu Yoo, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim

NoiseRank: Unsupervised Label Noise Reduction with Dependence Models

Karishma Sharma, Pinar Donmez, Enming Luo, Yan Liu, I. Zeki Yalniz

3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection

Jin Hyeok Yoo, Yecheol Kim, Jisong Kim, Jun Won Choi

Sound2Sight: Generating Visual Dynamics from Sound and Context

Moitreya Chatterjee, Anoop Cherian

Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed Scenes

Liang Liao, Jing Xiao, Zheng Wang, Chia-Wen Lin, Shin’ichi Satoh

Deep Cross-species Feature Learning for Animal Face Recognition via Residual Interspecies Equivariant Network

Xiao Shi, Chenxue Yang, Xue Xia, Xiujuan Chai

Differentiable Programming for Hyperspectral Unmixing using a Physics-based Dispersion Model

John Janiczek, Parth Thaker, Gautam Dasarathy, Christopher S. Edwards, Philip Christensen

Discriminative Partial Domain Adversarial Network

Jian Hu, Hongya Tuo, Chao Wang, Lingfeng Qiao, Haowen Zhong

Supervised Edge Attention Network for Accurate Image Instance Segmentation

Xier Chen, Yanchao Lian, Licheng Jiao, Haoran Wang, YanJie Gao

A Closer Look at Generalisation in RAVEN

Steven Spratley, Krista Ehinger, Tim Miller

DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search

Xiyang Dai, Dongdong Chen, Mengchen Liu, Yinpeng Chen, Lu Yuan

Learning Data Augmentation Strategies for Object Detection

Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jonathon Shlens

Spatial Geometric Reasoning for Room Layout Estimation via Deep Reinforcement Learning

Liangliang Ren, Yangyang Song, Jiwen Lu, Jie Zhou

Reducing the Sim-to-Real Gap for Event Cameras

Timo Stoffregen, Cedric Scheerlinck, Davide Scaramuzza, Tom Drummond, Nick Barnes

Attributional Robustness Training using Input-Gradient Spatial Alignment

Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N Balasubramanian

Efficient Outdoor 3D Point Cloud Semantic Segmentation for Critical Road Objects and Distributed Contexts

Chi-Chong Wong, Chi-man Vong

Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation

JINYU YANG, Weizhi An, Sheng wang, Xinliang Zhu, Chaochao Yan

SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction

Sriram N N, Buyu Liu, Francesco Pittaluga, Manmohan Chandraker

Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation

Mingmin Zhen, Shiwei Li, Lei Zhou, Jiaxiang Shang, Haoan Feng

Multi-view Action Recognition using Cross-view Video Prediction

Shruti Vyas, Yogesh S Rawat, Mubarak Shah

A Recurrent Transformer Network for Novel View Action Synthesis

Kara Marie Schatz, Erik Quintanilla, Shruti Vyas, Yogesh S Rawat

Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner

Eugene Lee, Evan Chen, Chen-Yi Lee

A Simple and Effective Framework for Pairwise Deep Metric Learning

Qi Qi, Yan Yan, Zixuan Wu, Xiaoyu Wang, Tianbao Yang

Structure-Aware Generation Network for Recipe Generation from Images

Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao

Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning

Linchao Zhu, Sercan . Arık, Yi Yang, Tomas Pfister

One-Pixel Signature: Characterizing CNN Models for Backdoor Detection

Shanjiaoyang Huang, Weiqi Peng, Zhiwei Jia, Zhuowen Tu

FreeCam3D: Snapshot Structured Light 3D with Freely-Moving Cameras

Yicheng Wu, Vivek Boominathan, Xuan Zhao, Jacob T. Robinson, Hiroshi Kawasaki

Box2Seg: Attention Weighted Loss and Discriminative Feature Learning for Weakly Supervised Segmentation

Viveka Kulharia, Siddhartha Chandra, Amit Agrawal, Philip Torr, Ambrish Tyagi

An Efficient Training Framework for Reversible Neural Architectures

Zixuan Jiang, Keren Zhu, Mingjie Liu, Jiaqi Gu, David Z. Pan

Exploiting Temporal Coherence for Self-Supervised One-shot Video Re-identification

Dripta S. Raychaudhuri, Amit K. Roy-Chowdhury

Channel selection using Gumbel Softmax

Charles Herrmann, Richard Strong Bowen, Ramin Zabih

TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation

Mateusz Kozinski, Leonardo Citraro, Subeesh Vasu, Pascal Fua

Improving Adversarial Robustness by Enforcing Local and Global Compactness

Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier deVel

SemifreddoNets: Partially Frozen Neural Networks for Efficient Computer Vision Systems

Leo F Isikdogan, Bhavin V Nayak, Chyuan-Tyng Wu, Joao Peralta Moreira, Sushma Rao

Learn distributed GAN with Temporary Discriminators

Hui Qu, Yikai Zhang, Qi Chang, Zhennan Yan, Chao Chen

Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification

Djebril Mekhazni, Amran Bhuiyan, George Ekladious, Eric Granger

Practical Poisoning Attacks on Neural Networks

Junfeng Guo, Cong Liu

A Broader Study of Cross-Domain Few-Shot Learning

Yunhui Guo, Noel C. Codella, Leonid Karlinsky, James V. Codella, John R. Smith

All at Once: Temporally Adaptive Multi-Frame Interpolation with Advanced Motion Modeling

Zhixiang Chi, Rasoul Mohammadi Nasiri, Zheng Liu, Juwei Lu, Jin Tang

DBQ: A Differentiable Branch Quantizer for Lightweight Deep Neural Networks

Hassan Dbouk, Hetul Sanghvi, Mahesh Mehendale, Naresh Shanbhag

Beyond Monocular Deraining: Stereo Image Deraining via Semantic Understanding

Kaihao Zhang, Wenhan Luo, Wenqi Ren, Jingwen Wang Fang Zhao, Lin Ma

HGNet: Hybrid Generative Network for Zero-shot Domain Adaptation

Haifeng Xia, Zhengming Ding

Proposal-based Video Completion

Yuan-Ting Hu, Heng Wang, Nicolas Ballas, Kristen Grauman, Alexander G. Schwing

Accurate Optimization of Weighted Nuclear Norm for Non-Rigid Structure from Motion

Jose Pedro Iglesias, Carl Olsson, Marcus Valtonen Ornhag

Teaching Cameras to Feel: Estimating Tactile Physical Properties of Surfaces From Images

Matthew Purri, Kristin Dana

LEMMA: A Multi-view Dataset for LEarning Multi-agent Multi-task Activities

Baoxiong Jia, Yixin Chen, Siyuan Huang, Yixin Zhu, Song-chun Zhu

Neural Batch Sampling with Reinforcement Learning for Semi-Supervised Anomaly Detection

Wen-Hsuan Chu, Kris M. Kitani

Multi-Source Open-Set Deep Adversarial Domain Adaptation

Sayan Rakshit, Dipesh Tamboli, Pragati Shuddhodhan Meshram, Biplab Banerjee, Gemma Roig

Extending and Analyzing Self-Supervised Learning Across Domains

Bram Wallace, Bharath Hariharan

More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning

Yu Liu, Sarah Parisot, Gregory Slabaugh, Xu Jia, Ales Leonardis

PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning

Chenglin Yang, Adam Kortylewski, Cihang Xie, Yinzhi Cao, Alan Yuille

Domain Adaptation Through Task Distillation

Brady Zhou, Nimit Kalra, Philipp Krähenbühl

Semantic Relation Preserving Knowledge Distillation for Image-to-Image Translation

Zeqi Li, Ruowei Jiang, Parham Aarabi

BézierSketch: A generative model for scalable vector sketches

Ayan Das, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song

Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer

Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang

Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping

Adam W. Harley, Shrinidhi Kowshika Lakshmikanth, Paul Schydlo, Katerina Fragkiadaki

Guiding Monocular Depth Estimation Using Depth-Attention Volume

Lam Huynh, Phong Nguyen-Ha, Jiri Matas, Esa Rahtu, Janne Heikkila

Null-sampling for Interpretable and Fair Representations

Thomas Kehrenberg, Myles Bartlett, Oliver Thomas, Novi Quadrianto

AE-OT-GAN: Training GANs from data specific latent distribution

Dongsheng An, Yang Guo, Min Zhang, Xin Qi, Na Lei

Nikolay Malkin, Anthony Ortiz, Nebojsa Jojic

OneGAN: Simultaneous Unsupervised Learning of Conditional Image Generation, Foreground Segmentation, and Fine-Grained Clustering

Yaniv Benny, Lior Wolf

Duality Diagram Similarity: a generic framework for initialization selection in task transfer learning

Kshitij Dwivedi, Jiahui Huang, Radoslaw Martin Cichy, Gemma Roig

Geometry Constrained Weakly Supervised Object Localization

Weizeng Lu, Xi Jia, Weicheng Xie, Linlin Shen, Yicong Zhou

Truncated Inference for Latent Variable Optimization Problems: Application to Robust Estimation and Learning

Christopher Zach, Huu Le

HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs

Hai Victor Habi, Roy H. Jennings, Arnon Netzer

Weight Decay Scheduling and Knowledge Distillation for Active Learning

Juseung Yun, Byungjoo Kim, Junmo Kim

Instance Adaptive Self-Training for Unsupervised Domain Adaptation

Ke Mei, Chuang Zhu, Jiaqi Zou, Shanghang Zhang

Multi-view adaptive graph convolutions for graph classification

Nikolas Adaloglou, Nicholas Vretos, Petros Daras

DOPE: Distillation Of Part Experts for whole-body 3D pose estimation in the wild

Philippe Weinzaepfel, Romain BRÉGIER, Hadrien Combaluzier, Vincent Leroy, Gregory Rogez

GANHopper: Multi-Hop GAN for Unsupervised Image-to-Image Translation

Wallace Lira, Johannes Merz, Daniel Ritchie, Daniel Cohen-or, Hao Zhang

Weakly Supervised Semantic Segmentation with Boundary Exploration

Liyi Chen, Weiwei Wu, Chenchen Fu, Xiao Han, Yuntao Zhang

Determining the Relevance of Features for Deep Neural Networks

Christian Reimers, Jakob Runge, Joachim Denzler

Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction

Kelvin Wong, Qiang Zhang, Ming Liang, Bin Yang, Renjie Liao

RBF-Softmax: Learning Deep Representative Prototypes with Radial Basis Function Softmax

Xiao Zhang, Rui Zhao, Yu Qiao, hongsheng Li

Neural Wireframe Renderer: Learning Wireframe to Image Translations

Yuan Xue, Zihan Zhou, Xiaolei Huang

Aligning Videos in Space and Time

Senthil Purushwalkam, Tian Ye, Saurabh Gupta, Abhinav Gupta

Deformable Style Transfer

Sunnie S. Y. Kim, Nicholas Kolkin, Jason Salavon, Gregory Shakhnarovich

Adversarial Robustness on In- and Out-Distribution Improves Explainability

Maximilian Augustin, Alexander Meinke, Matthias Hein

Learning Canonical Representations for Scene Graph to Image Generation

Roei Herzig, Amir Bar, Huijuan Xu, Gal Chechik, Trevor Darrell

Prediction and Recovery for Adaptive Low-Resolution Person Re-Identification

Ke Han, Yan Huang, Zerui Chen, Liang Wang, Tieniu Tan