ECCV 2020

1,358 papers

Dual Grid Net: Hand Mesh Vertex Regression from Single Depth Maps

Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao

Solving Phase Retrieval with a Learned Reference

Rakib Hyder, Zikui Cai, M. Salman Asif

Speech-driven Facial Animation using Cascaded GANs for Learning of Motion and Texture

Dipanjan Das, Sandika Biswas, Sanjana Sinha, Brojeshwar Bhowmick

Rotational Outlier Identification in Pose Graphs Using Dual Decomposition

Arman Karimian, Ziqi Yang, Roberto Tron

PieNet: Personalized Image Enhancement Network

Han-Ul Kim, Young Jun Koh, Chang-Su Kim

Modeling the Space of Point Landmark Constrained Diffeomorphisms

Chengfeng Wen, Yang Guo, Xianfeng Gu

SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection

Rui Fan, Hengli Wang, Peide Cai, Ming Liu

Not only Look, but also Listen: Learning Multimodal Violence Detection under Weak Supervision

Peng Wu, Jing Liu, Yujia Shi, Yujia Sun, Fangtao Shao

Weakly Supervised Learning with Side Information for Noisy Labeled Images

Lele Cheng, Xiangzeng Zhou, Liming Zhao, Dangwei Li, Hong Shang

Manifold Projection for Adversarial Defense on Face Recognition

Jianli Zhou, Chao Liang, Jun Chen

Self-Paced Deep Regression Forests with Consideration on Underrepresented Examples

Lili Pan, Shijie Ai, Yazhou Ren, Zenglin Xu

Instance-Aware Embedding for Point Cloud Instance Segmentation

Tong He, Yifan liu, Chunhua Shen, Xinlong Wang, Changming Sun

High-quality Single-model Deep Video Compression with Frame-Conv3D and Multi-frame Differential Modulation

Wenyu Sun, Chen Tang, Weigui Li, Zhuqing Yuan, Huazhong Yang

An Asymmetric Modeling for Action Assessment

Jibin Gao, Wei-Shi Zheng, Jia-Hui Pan, Chengying Gao, Yaowei Wang

Learning Surrogates via Deep Embedding

Yash Patel, Tomas Hodan, Jiri Matas

Physics-based Feature Dehazing Networks

Jiangxin Dong, Jinshan Pan

Spatial-Adaptive Network for Single Image Denoising

Meng Chang, Qi Li, Huajun Feng, Zhihai Xu

Extract and Merge: Superpixel Segmentation with Regional Attributes

Jianqiao An, Yucheng Shi, Yahong Han, Meijun Sun, Qi Tian

Improving Face Recognition from Hard Samples via Distribution Distillation Loss

Yuge Huang, Pengcheng Shen, Ying Tai, Shaoxin Li, Xiaoming Liu

Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks

Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu

UNITER: UNiversal Image-TExt Representation Learning

Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy Faisal Ahmed, Zhe Gan

Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural Networks

Niamul Quader, Md Mafijul Islam Bhuiyan, Juwei Lu, Peng Dai, Wei Li

Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning

Maunil R Vyas, Hemanth Venkateswara, Sethuraman Panchanathan

S³Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data

Bin Cheng, Inderjot Singh Saggu, Raunak Shah, Gaurav Bansal, Dinesh Bharadia

Towards Efficient Coarse-to-Fine Networks for Action and Gesture Recognition

Niamul Quader, Juwei Lu, Peng Dai, Wei Li

Structure-Aware Human-Action Generation

Ping Yu, Yang Zhao, Chunyuan Li, Junsong Yuan, Changyou Chen

Representative-Discriminative Learning for Open-set Land Cover Classification of Satellite Imagery

Razieh Kaviani Baghbaderani, Ying Qu, Hairong Qi, Craig Stutts

On Diverse Asynchronous Activity Anticipation

He Zhao, Richard P. Wildes

Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation

Cheng Ouyang, Carlo Biffi, Chen Chen, Turkay Kart, Huaqi Qiu

Fairness by Learning Orthogonal Disentangled Representations

Mhd Hasan Sarhan, Nassir Navab, Abouzar Eslami, Shadi Albarqouni

Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning

Zhekun Luo, Devin Guillory, Baifeng Shi, Wei Ke, Fang Wan

Laying the Foundations of Deep Long-Term Crowd Flow Prediction

Samuel S. Sohn, Honglu Zhou, Seonghyeon Moon, Sejong Yoon, Vladimir Pavlovic

Feature Space Augmentation for Long-Tailed Data

Peng Chu, Xiao Bian, Shaopeng Liu, Haibin Ling

Learning Permutation Invariant Representations using Memory Networks

Shivam Kalra, Mohammed Adnan, Graham Taylor, H.R. Tizhoosh

Neural Predictor for Neural Architecture Search

Wei Wen, Hanxiao Liu, Yiran Chen, Hai Li, Gabriel Bender

Adversarial Data Augmentation via Deformation Statistics

Sahin Olut, Zhengyang Shen, Zhenlin Xu, Samuel Gerber, Marc Niethammer

Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive Learning

Aditya Sanghi

Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction

Rohan Chabra, Jan E. Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub

Improving Object Detection with Selective Self-Supervised Self-Training

Yandong Li, Di Huang, Danfeng Qin, Liqiang Wang, Boqing Gong

Imaging Behind Occluders Using Two-Bounce Light

Connor Henley, Tomohiro Maeda, Tristan Swedish, Ramesh Raskar

Robust and On-the-fly Dataset Denoising for Image Classification

Jiaming Song, Yann Dauphin, Michael Auli, Tengyu Ma

Dual Mixup Regularized Learning for Adversarial Domain Adaptation

Yuan Wu, Diana Inkpen, Ahmed El-Roby

Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network

Anh-Huy Phan, Konstantin Sobolev, Konstantin Sozykin, Dmitry Ermilov, Julia Gusak

Character Region Attention For Text Spotting

Youngmin Baek, Seung Shin, Jeonghun Baek, Sungrae Park, Junyeop Lee

Fully Embedding Fast Convolutional Networks on Pixel Processor Arrays

Laurie Bose, Piotr Dudek, Jianing Chen, Stephen J. Carey, Walterio W. Mayol-Cuevas

Learning Actionness via Long-range Temporal Order Verification

Dimitri Zhukov, Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic

On Transferability of Histological Tissue Labels in Computational Pathology

Mahdi S. Hosseini, Lyndon Chan, Weimin Huang, Yichen Wang, Danial Hasan

Learning to Learn Words from Visual Scenes

Didac Suris, Dave Epstein, Heng Ji, Shih-fu Chang, Carl Vondrick

Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks

Baris Gecer, Alexandros Lattas, Stylianos Ploumpis, Jiankang Deng, Athanasios Papaioannou

Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations

Saima Sharmin, Nitin Rathi, Priyadarshini Panda, Kaushik Roy

Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations

Aditya Golatkar, Alessandro Achille, Stefano Soatto

Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks

Chankyu Lee, Adarsh Kumar Kosta, Alex Zihao Zhu, Kenneth Chaney, Kostas Daniilidis

Regularized Loss for Weakly Supervised Single Class Semantic Segmentation

Olga Veksler

Jointly De-biasing Face Recognition and Demographic Attribute Estimation

Sixue Gong, Xiaoming Liu, Anil K. Jain

Learning Disentangled Feature Representation for Hybrid-distorted Image Restoration

Xin Li, Xin Jin, Jianxin Lin, Sen Liu, Yaojun Wu

LandscapeAR: Large Scale Outdoor Augmented Reality by Matching Photographs with Terrain Models Using Learned Descriptors

Jan Brejcha, Michal Lukac, Yannick Hold-Geoffroy, Oliver Wang, Martin Cadik

Learning to Generate Customized Dynamic 3D Facial Expressions

Rolandos Alexandros Potamias, Jiali Zheng, Stylianos Ploumpis, Giorgos Bouritsas, Evangelos Ververas

Differentiable Joint Pruning and Quantization for Hardware Efficiency

Ying Wang, Yadong Lu, Tijmen Blankevoort

ByeGlassesGAN: Identity Preserving Eyeglasses Removal for Face Images

Yu-Hui Lee, Shang-Hong Lai

SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data

Tyler Zhu, Per Karlsson, Christoph Bregler

Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution

Jing Yao, Danfeng Hong, Jocelyn Chanussot, Deyu Meng, Xiaoxiang Zhu

Recurrent Image Annotation With Explicit Inter-Label Dependencies

Ayushi Dutta, Yashaswi Verma, C.V. Jawahar

Label-similarity Curriculum Learning

Urun Dogan, Aniket Anand Deshmukh, Marcin Bronislaw Machura, Christian Igel

Quantum-soft QUBO Suppression for Accurate Object Detection

Junde Li, Swaroop Ghosh

Semi-Supervised Segmentation based on Error-Correcting Supervision

Robert Mendel, Luis Antonio de Souza Jr, David Rauber, João Paulo Papa, Christoph Palm

Where to Explore Next? ExHistCNN for History-aware Autonomous 3D Exploration

Yiming Wang, Alessio Del Bue

Sequential Deformation for Accurate Scene Text Detection

Shanyu Xiao, Liangrui Peng, Ruijie Yan, Keyu An, Gang Yao

Distance-Normalized Unified Representation for Monocular 3D Object Detection

Xuepeng Shi, Zhixiang Chen, Tae-kyun Kim

Representation Learning on Visual-Symbolic Graphs for Video Understanding

Effrosyni Mavroudi, Benjamín Béjar Haro, René Vidal

Simplicial Complex based Point Correspondence between Images warped onto Manifolds

Charu Sharma, Manohar Kaul

Stereo Event-based Particle Tracking Velocimetry for 3D Fluid Flow Reconstruction

Yuanhao Wang, Ramzi Idoughi, Wolfgang Heidrich

Learning to Learn Parameterized Classification Networks for Scalable Input Images

Duo Li, Anbang Yao, Qifeng Chen

Procrustean Regression Networks: Learning 3D Structure of Non-Rigid Objects from 2D Annotations

Sungheon Park, Minsik Lee, Nojun Kwak

Improving Optical Flow on a Pyramid Level

Markus Hofinger, Samuel Rota Bulò, Lorenzo Porzi, Arno Knapitsch, Thomas Pock

Defense Against Adversarial Attacks via Controlling Gradient Leaking on Embedded Manifolds

Yueru Li, Shuyu Cheng, Hang Su, Jun Zhu

Learning to Cluster under Domain Shift

Willi Menapace, Stéphane Lathuilière, Elisa Ricci

Online Continual Learning under Extreme Memory Constraints

Enrico Fini, Stéphane Lathuilière, Enver Sangineto, Moin Nabi, Elisa Ricci

Towards Reliable Evaluation of Algorithms for Road Network Reconstruction from Aerial Images

Leonardo Citraro, Mateusz Kozinski, Pascal Fua

Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin

Measuring the Importance of Temporal Features in Video Saliency

Matthias Tangemann, Matthias Kümmerer, Thomas S.A. Wallis, Matthias Bethge

Document Structure Extraction using Prior based High Resolution Hierarchical Semantic Segmentation

Mausoom Sarkar, Milan Aggarwal, Arneh Jain, Hiresh Gupta, Balaji Krishnamurthy

Guided Semantic Flow

Sangryul Jeon, Dongbo Min, Seungryong Kim, Jihwan Choe, Kwanghoon Sohn

Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks

Federico Baldassarre, Kevin Smith, Josephine Sullivan, Hossein Azizpour

A Novel Line Integral Transform for 2D Affine-Invariant Shape Retrieval

Bin Wang, Yongsheng Gao

360(o) Camera Alignment via Segmentation

Benjamin Davidson, Mohsan S. Alvi, João F. Henriques

Volumetric Transformer Networks

Seungryong Kim, Sabine Ssstrunk, Mathieu Salzmann

Accurate Reconstruction of Oriented 3D Points using Affine Correspondences

Carolina Raposo, Joao P. Barreto

FLOT: Scene Flow on Point Clouds guided by Optimal Transport

Gilles Puy, Alexandre Boulch, Renaud Marlet

Deep Decomposition Learning for Inverse Imaging Problems

Dongdong Chen, Mike E. Davies

Orderly Disorder in Point Cloud Domain

Bernard Tiddeman, Yonghuai Liu, Morteza Ghahremani, Ardhendu Behera

End-to-end Dynamic Matching Network for Multi-view Multi-person 3d Pose Estimation

Congzhentao Huang, Shuai Jiang, Yang Li, Ziyue Zhang, Jason Traish

Variational Connectionist Temporal Classification

Linlin Chao, Jingdong Chen, Wei Chu

Unsupervised Monocular Depth Estimation for Night-time Images using Adversarial Domain Feature Adaptation

Madhu Vankadari, Sourav Garg, Anima Majumder, Swagat Kumar, Ardhendu Behera

Learning Video Representations by Transforming Time

Simon Jenni, Givi Meishvili, Paolo Favaro

Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers

Michal Rolinek, Paul Swoboda, Dominik Zietlow, Anselm Paulus, Vít Musil

Explaining Image Classifiers using Statistical Fault Localization

Youcheng Sun, Hana Chockler, Xiaowei Huang, Daniel Kroening

Asymmetric Two-Stream Architecture for Accurate RGB-D Saliency Detection

Miao Zhang, Sun Xiao Fei, Jie Liu, Shuang Xu, Yongri Piao

Guided Saliency Feature Learning for Person Re-identification in Crowded Scenes

Lingxiao He, Wu Liu

MABNet: A Lightweight Stereo Network Based on Multibranch Adjustable Bottleneck Module

Jiabin Xing, Zhi Qi, Jiying Dong, Jiaxuan Cai, Hao Liu

Feature Pyramid Transformer

Dong Zhang, Hanwang Zhang, Jinhui Tang, Meng Wang, Xiansheng Hua