CVPR 2020

1,466 papers

KeypointNet: A Large-Scale 3D Keypoint Dataset Aggregated From Numerous Human Annotations

Yang You, Yujing Lou, Chengkun Li, Zhoujun Cheng, Liangwei Li

FroDO: From Detections to 3D Objects

Martin Runz, Kejie Li, Meng Tang, Lingni Ma, Chen Kong

IDA-3D: Instance-Depth-Aware 3D Object Detection From Stereo Vision for Autonomous Driving

Wanli Peng, Hao Pan, He Liu, Yi Sun

VIBE: Video Inference for Human Body Pose and Shape Estimation

Muhammed Kocabas, Nikos Athanasiou, Michael J. Black

An Investigation Into the Stochasticity of Batch Whitening

Lei Huang, lei zhao, Yi Zhou, Fan Zhu, Li Liu

Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofing

Joel Stehouwer, Amin Jourabloo, Yaojie Liu, Xiaoming Liu

DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes

Jonas Schult, Francis Engelmann, Theodora Kontogianni, Bastian Leibe

FGN: Fully Guided Network for Few-Shot Instance Segmentation

Zhibo Fan, Jin-Gang Yu, Zhihao Liang, Jiarong Ou, Changxin Gao

Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision

Denis Gudovskiy, Alec Hodgkinson, Takuya Yamaguchi, Sotaro Tsukizawa

Unsupervised Learning of Intrinsic Structural Representation Points

Nenglun Chen, Lingjie Liu, Zhiming Cui, Runnan Chen, Duygu Ceylan

Minimizing Discrete Total Curvature for Image Processing

Qiuxiang Zhong, Yutong Li, Yijie Yang, Yuping Duan

PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling

Xu Yan, Chaoda Zheng, Zhen Li, Sheng wang, Shuguang Cui

SQE: a Self Quality Evaluation Metric for Parameters Optimization in Multi-Object Tracking

Yanru Huang, Feiyu Zhu, Zheni Zeng, Xi Qiu, Yuan Shen

Global Optimality for Point Set Registration Using Semidefinite Programming

Jose Pedro Iglesias, Carl Olsson, Fredrik Kahl

Intuitive, Interactive Beard and Hair Synthesis With Generative Models

Kyle Olszewski, Duygu Ceylan, Jun Xing, Jose Echevarria, Zhili Chen

Filter Grafting for Deep Neural Networks

Fanxu Meng, Hao Cheng, Ke Li, Zhixin Xu, Rongrong Ji

Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation

Dwarikanath Mahapatra, Behzad Bozorgtabar, Ling Shao

MISC: Multi-Condition Injection and Spatially-Adaptive Compositing for Conditional Person Image Synthesis

Shuchen Weng, Wenbo Li, Dawei Li, Hongxia Jin, Boxin Shi

Context-Aware Human Motion Prediction

Enric Corona, Albert Pumarola, Guillem Alenyà, Francesc Moreno-Noguer

ScopeFlow: Dynamic Scene Scoping for Optical Flow

Aviram Bar-Haim, Lior Wolf

Learning Video Object Segmentation From Unlabeled Videos

Xiankai Lu, Wenguan Wang, Jianbing Shen, Yu-Wing Tai, David J. Crandall

Deformable Siamese Attention Networks for Visual Object Tracking

Yuechen Yu, Yilei Xiong, Weilin Huang, Matthew R. Scott

Local Implicit Grid Representations for 3D Scenes

Chiyu, Avneesh Sud, Ameesh Makadia, Jingwei Huang, Matthias Niessner

Benchmarking the Robustness of Semantic Segmentation Models

Christoph Kamann, Carsten Rother

Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning

Shuai Zheng, Zhenfeng Zhu, Xingxing Zhang, Zhizhe Liu, Jian Cheng

Learning Texture Transformer Network for Image Super-Resolution

Fuzhi Yang, Huan Yang, Jianlong Fu, Hongtao Lu, Baining Guo

End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization

Bo Chen, Alvaro Parra, Jiewei Cao, Nan Li, Tat-jun Chin

Collaborative Motion Prediction via Neural Motion Message Passing

Yue Hu, Siheng Chen, Ya Zhang, Xiao Gu

Reference-Based Sketch Image Colorization Using Augmented-Self Reference and Dense Semantic Correspondence

Junsoo Lee, Eungyeup Kim, Yunsung Lee, Dongjun Kim, Jaehyuk Chang

Future Video Synthesis With Object Motion Prediction

Yue Wu, Rongrong Gao, Jaesik Park, Qifeng Chen

Barycenters of Natural Images Constrained Wasserstein Barycenters for Image Morphing

Dror Simon, Aviad Aberdam

Optical Non-Line-of-Sight Physics-Based 3D Human Pose Estimation

Mariko Isogawa, Ye Yuan, Matthew O'Toole, Kris M. Kitani

Single-Side Domain Generalization for Face Anti-Spoofing

Yunpei Jia, Jie Zhang, Shiguang Shan, Xilin Chen

Information-Driven Direct RGB-D Odometry

Alejandro Fontan, Javier Civera, Rudolph Triebel

Phase Consistent Ecological Domain Adaptation

Yanchao Yang, DONG LAO, Ganesh Sundaramoorthi, Stefano Soatto

Towards Photo-Realistic Virtual Try-On by Adaptively Generating-Preserving Image Content

Han Yang, Ruimao Zhang, Xiaobao Guo, Wei Liu, Wangmeng Zuo

Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds

Mohsen Joneidi, Saeed Vahidian, Ashkan Esmaeili, Weijia Wang, Nazanin Rahnavard

SCOUT: Self-Aware Discriminant Counterfactual Explanations

Pei Wang, Nuno Vasconcelos

An Efficient PointLSTM for Point Clouds Based Gesture Recognition

Yuecong Min, Yanxiao Zhang, Xiujuan Chai, Xilin Chen

Neural Contours: Learning to Draw Lines From 3D Shapes

Difan Liu, Mohamed Nabail, Aaron Hertzmann, Evangelos Kalogerakis

Structure-Preserving Super Resolution With Gradient Guidance

Cheng Ma, Yongming Rao, Yean Cheng, Ce Chen, Jiwen Lu

Learning a Neural 3D Texture Space From 2D Exemplars

Philipp Henzler, Niloy J. Mitra, Tobias Ritschel

Uncertainty Based Camera Model Selection

Michal Polic, Stanislav Steidl, Cenek Albl, Zuzana Kukelova, Tomas Pajdla

VecRoad: Point-Based Iterative Graph Exploration for Road Graphs Extraction

Yong-Qiang Tan, Shang-Hua Gao, Xuan-Yi Li, Ming-Ming Cheng, Bo Ren

Model Adaptation: Unsupervised Domain Adaptation Without Source Data

Rui Li, Qianfen Jiao, Wenming Cao, Hau-San Wong, Si Wu

End-to-End Model-Free Reinforcement Learning for Urban Driving Using Implicit Affordances

Marin Toromanoff, Emilie Wirbel, Fabien Moutarde

Self-Supervised Monocular Scene Flow Estimation

Junhwa Hur, Stefan Roth

High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification

Guan'an Wang, Shuo Yang, Huanyu Liu, Zhicheng Wang, Yang Yang

Bidirectional Graph Reasoning Network for Panoptic Segmentation

Yangxin Wu, Gengwei Zhang, Yiming Gao, Xiajun Deng, Ke Gong

Leveraging 2D Data to Learn Textured 3D Mesh Generation

Paul Henderson, Vagia Tsiminaki, Christoph H. Lampert

Copy and Paste GAN: Face Hallucination From Shaded Thumbnails

Yang Zhang, Ivor W. Tsang, Yawei Luo, Chang-Hui Hu, Xiaobo Lu

Semantically Multi-Modal Image Synthesis

Zhen Zhu, Zhiliang Xu, Ansheng You, Xiang Bai

GeoDA: A Geometric Framework for Black-Box Adversarial Attacks

Ali Rahmati, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Huaiyu Dai

Learning Multi-Object Tracking and Segmentation From Automatic Annotations

Lorenzo Porzi, Markus Hofinger, Idoia Ruiz, Joan Serrat, Samuel Rota Bulò

Total Deep Variation for Linear Inverse Problems

Erich Kobler, Alexander Effland, Karl Kunisch, Thomas Pock

Detecting Attended Visual Targets in Video

Eunji Chong, Yongxin Wang, Nataniel Ruiz, James M. Rehg

The GAN That Warped: Semantic Attribute Editing With Unpaired Data

Garoe Dorta, Sara Vicente, Neill D. F. Campbell, Ivor J. A. Simpson

ManiGAN: Text-Guided Image Manipulation

Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, Philip H.S. Torr

Dynamic Face Video Segmentation via Reinforcement Learning

Yujiang Wang, MINGZHI DONG, Jie Shen, Yang Wu, Shiyang Cheng

When to Use Convolutional Neural Networks for Inverse Problems

Nathaniel Chodosh, Simon Lucey

GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data

Seongwook Yoon, Sanghoon Sull

Spatial Pyramid Based Graph Reasoning for Semantic Segmentation

Xia Li, Yibo Yang, Qijie Zhao, Tiancheng Shen, Zhouchen Lin

PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer

Wentao Jiang, Si Liu, Chen Gao, Jie Cao, Ran He

Stylization-Based Architecture for Fast Deep Exemplar Colorization

Zhongyou Xu, Tingting Wang, Faming Fang, Yun Sheng, Guixu Zhang

Data-Efficient Semi-Supervised Learning by Reliable Edge Mining

Peibin Chen, Tao Ma, Xu Qin, Weidi Xu, Shuchang Zhou

Joint Training of Variational Auto-Encoder and Latent Energy-Based Model

Tian Han, Erik Nijkamp, Linqi Zhou, Bo Pang, Song-chun Zhu

GAN Compression: Efficient Architectures for Interactive Conditional GANs

Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu

Deep Polarization Cues for Transparent Object Segmentation

Agastya Kalra, Vage Taamazyan, Supreeth Krishna Rao, Kartik Venkataraman, Ramesh Raskar

A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-View Stereo Reconstruction From an Open Aerial Dataset

Jin Liu, Shunping Ji

Deblurring Using Analysis-Synthesis Networks Pair

Adam Kaufman, Raanan Fattal

HyperSTAR: Task-Aware Hyperparameters for Deep Networks

Gaurav Mittal, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen

Self-Supervised Learning of Pretext-Invariant Representations

Ishan Misra, Laurens van der Maaten

Fine-Grained Image-to-Image Transformation Towards Visual Recognition

Wei Xiong, Yutong He, YIXUAN ZHANG, Wenhan Luo, Lin Ma

Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization

Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Steven Su

An End-to-End Edge Aggregation Network for Moving Object Segmentation

Prashant W. Patil, Kuldeep M. Biradar, Akshay Dudhane, Subrahmanyam Murala

Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data

Shichao Li, Lei Ke, Kevin Pratama, Yu-Wing Tai, Chi-Keung Tang

How to Train Your Deep Multi-Object Tracker

Yihong Xu, Aljosa Osep, Yutong Ban, Radu Horaud, Laura Leal-Taixé

Neural Voxel Renderer: Learning an Accurate and Controllable Rendering Tool

Konstantinos Rematas, Vittorio Ferrari

Semantic Image Manipulation Using Scene Graphs

Helisa Dhamo, Azade Farshad, Iro Laina, Nassir Navab, Gregory D. Hager

Going Deeper With Lean Point Networks

Eric-Tuan Le, Iasonas Kokkinos, Niloy J. Mitra

ARShadowGAN: Shadow Generative Adversarial Network for Augmented Reality in Single Light Scenes

Daquan Liu, Chengjiang Long, Hongpan Zhang, Hanning Yu, Xinzhi Dong

Hierarchical Pyramid Diverse Attention Networks for Face Recognition

Qiangchang Wang, Tianyi Wu, He Zheng, Guodong Guo

Cross-Batch Memory for Embedding Learning

Xun Wang, Haozhi Zhang, Weilin Huang, Matthew R. Scott

D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features

Xuyang Bai, Zixin Luo, Lei Zhou, Hongbo Fu, Long Quan

TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting

Zhuoqian Yang, Wentao Zhu, Wayne Wu, Chen Qian, Qiang Zhou

Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation

Jianqiang Wan, Yang Liu, Donglai Wei, Xiang Bai, Yongchao Xu

Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition

Yudong Wu, Yichao Wu, Ruihao Gong, Yuanhao Lv, Ken Chen

Deep Fair Clustering for Visual Learning

Peizhao Li, Han Zhao, Hongfu Liu

Minimal Solutions to Relative Pose Estimation From Two Views Sharing a Common Direction With Unknown Focal Length

Yaqing Ding, Jian Yang, Jean Ponce, Hui Kong

Towards Universal Representation Learning for Deep Face Recognition

Yichun Shi, Xiang Yu, Kihyuk Sohn, Manmohan Chandraker, Anil K. Jain

Reciprocal Learning Networks for Human Trajectory Prediction

Hao Sun, Zhiqun Zhao, Zhihai He

UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation

lei zhao, Qihang Mo, Sihuan Lin, Zhizhong Wang, Zhiwen Zuo

Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives

Duo Li, Qifeng Chen

Learning Better Lossless Compression Using Lossy Compression

Fabian Mentzer, Luc Van Gool, Michael Tschannen

Unsupervised Representation Learning for Gaze Estimation

Yu Yu, Jean-Marc Odobez

Learning Physics-Guided Face Relighting Under Directional Light

Thomas Nestmeyer, Jean-Francois Lalonde, Iain Matthews, Andreas Lehrmann

DeepCap: Monocular Human Performance Capture Using Weak Supervision

Marc Habermann, Weipeng Xu, Michael Zollhöfer, Gerard Pons-Moll, Christian Theobalt

Discovering Synchronized Subsets of Sequences: A Large Scale Solution

Evangelos Sariyanidi, Casey J. Zampella, Keith G. Bartley, John D. Herrington, Theodore D. Satterthwaite

A Graduated Filter Method for Large Scale Robust Estimation

Huu Le, Christopher Zach

Editing in Style: Uncovering the Local Semantics of GANs

Edo Collins, Raja Bala, Bob Price, Sabine Süsstrunk