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ICCV 2019

1,075 papers

Occlusion-Aware Networks for 3D Human Pose Estimation in Video

Yu Cheng, Bo Yang, Bo Wang, Wending Yan, Robby T. Tan

Racial Faces in the Wild: Reducing Racial Bias by Information Maximization Adaptation Network

Mei Wang, Weihong Deng, Jiani Hu, Xunqiang Tao, Yaohai Huang

InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting

Hao-Shu Fang, Jianhua Sun, Runzhong Wang, Minghao Gou, Yong-Lu Li

Robust Motion Segmentation From Pairwise Matches

Federica Arrigoni, Tomas Pajdla

MultiSeg: Semantically Meaningful, Scale-Diverse Segmentations From Minimal User Input

Jun Hao Liew, Scott Cohen, Brian Price, Long Mai, Sim-Heng Ong

Learning Propagation for Arbitrarily-Structured Data

Sifei Liu, Xueting Li, Varun Jampani, Shalini De Mello, Jan Kautz

SSAP: Single-Shot Instance Segmentation With Affinity Pyramid

Naiyu Gao, Yanhu Shan, Yupei Wang, Xin Zhao, Yinan Yu

Surface Networks via General Covers

Niv Haim, Nimrod Segol, Heli Ben-Hamu, Haggai Maron, Yaron Lipman

Convex Shape Prior for Multi-Object Segmentation Using a Single Level Set Function

Shousheng Luo, Xue-Cheng Tai, Limei Huo, Yang Wang, Roland Glowinski

CCNet: Criss-Cross Attention for Semantic Segmentation

Zilong Huang, Xinggang Wang, Lichao Huang, Chang Huang, Yunchao Wei

Asymmetric Non-Local Neural Networks for Semantic Segmentation

Zhen Zhu, Mengde Xu, Song Bai, Tengteng Huang, Xiang Bai

IL2M: Class Incremental Learning With Dual Memory

Eden Belouadah, Adrian Popescu

Robust Person Re-Identification by Modelling Feature Uncertainty

Tianyuan Yu, Da Li, Yongxin Yang, Timothy M. Hospedales, Tao Xiang

Pose-Guided Feature Alignment for Occluded Person Re-Identification

Jiaxu Miao, Yu Wu, Ping Liu, Yuhang Ding, Yi Yang

DeceptionNet: Network-Driven Domain Randomization

Sergey Zakharov, Wadim Kehl, Slobodan Ilic

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition

Tianshui Chen, Muxin Xu, Xiaolu Hui, Hefeng Wu, Liang Lin

Sharpen Focus: Learning With Attention Separability and Consistency

Lezi Wang, Ziyan Wu, Srikrishna Karanam, Kuan-Chuan Peng, Rajat Vikram Singh

Graph-Based Object Classification for Neuromorphic Vision Sensing

Yin Bi, Aaron Chadha, Alhabib Abbas, Eirina Bourtsoulatze, Yiannis Andreopoulos

A Robust Learning Approach to Domain Adaptive Object Detection

Mehran Khodabandeh, Arash Vahdat, Mani Ranjbar, William G. Macready

Vehicle Re-Identification in Aerial Imagery: Dataset and Approach

Peng Wang, Bingliang Jiao, Lu Yang, Yifei Yang, Shizhou Zhang

Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings

Michael Wray, Diane Larlus, Gabriela Csurka, Dima Damen

Few-Shot Image Recognition With Knowledge Transfer

Zhimao Peng, Zechao Li, Junge Zhang, Yan Li, Guo-Jun Qi

Automatic and Robust Skull Registration Based on Discrete Uniformization

Junli Zhao, Xin Qi, Chengfeng Wen, Na Lei, Xianfeng Gu

GeoStyle: Discovering Fashion Trends and Events

Utkarsh Mall, Kevin Matzen, Bharath Hariharan, Noah Snavely, Kavita Bala

Towards Latent Attribute Discovery From Triplet Similarities

Ishan Nigam, Pavel Tokmakov, Deva Ramanan

Compact Trilinear Interaction for Visual Question Answering

Tuong Do, Thanh-Toan Do, Huy Tran, Erman Tjiputra, Quang D. Tran

Budget-Aware Adapters for Multi-Domain Learning

Rodrigo Berriel, Stephane Lathuillere, Moin Nabi, Tassilo Klein, Thiago Oliveira-Santos

Recognizing Part Attributes With Insufficient Data

Xiangyun Zhao, Yi Yang, Feng Zhou, Xiao Tan, Yuchen Yuan

Dual Directed Capsule Network for Very Low Resolution Image Recognition

Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa

Few-Shot Learning With Embedded Class Models and Shot-Free Meta Training

Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

Symmetric Cross Entropy for Robust Learning With Noisy Labels

Yisen Wang, Xingjun Ma, Zaiyi Chen, Yuan Luo, Jinfeng Yi

Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild

Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee

Evaluating Robustness of Deep Image Super-Resolution Against Adversarial Attacks

Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-jui Hsieh, Jong-Seok Lee

HAWQ: Hessian AWare Quantization of Neural Networks With Mixed-Precision

Zhen Dong, Zhewei Yao, Amir Gholami, Michael W. Mahoney, Kurt Keutzer

Vision-Infused Deep Audio Inpainting

Hang Zhou, Ziwei Liu, Xudong XU, Ping Luo, Xiaogang Wang

Instance-Level Future Motion Estimation in a Single Image Based on Ordinal Regression

Kyung-Rae Kim, Whan Choi, Yeong Jun Koh, Seong-Gyun Jeong, Chang-Su Kim

Distilling Knowledge From a Deep Pose Regressor Network

Muhamad Risqi U. Saputra, Pedro P. B. de Gusmao, Yasin Almalioglu, Andrew Markham, Niki Trigoni

Beyond Cartesian Representations for Local Descriptors

Patrick Ebel, Anastasiia Mishchuk, Kwang Moo Yi, Pascal Fua, Eduard Trulls

Generative Adversarial Networks for Extreme Learned Image Compression

Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool

PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data

Zheng Tang, Milind Naphade, Stan Birchfield, Jonathan Tremblay, William Hodge

Generative Adversarial Training for Weakly Supervised Cloud Matting

Zhengxia Zou, Wenyuan Li, Tianyang Shi, Zhenwei Shi, Jieping Ye

Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization

Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway

StructureFlow: Image Inpainting via Structure-Aware Appearance Flow

Yurui Ren, Xiaoming Yu, Ruonan Zhang, Thomas H. Li, Shan Liu

Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions

Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Fredo Durand

Face-to-Parameter Translation for Game Character Auto-Creation

Tianyang Shi, Yi Yuan, Changjie Fan, Zhengxia Zou, Zhenwei Shi

Learning Robust Facial Landmark Detection via Hierarchical Structured Ensemble

Xu Zou, Sheng Zhong, Luxin Yan, Xiangyun Zhao, Jiahuan Zhou

DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks

Sagnik Das, Ke Ma, Zhixin Shu, Dimitris Samaras, Roy Shilkrot

Adversarial Robustness vs. Model Compression, or Both?

shaokai ye, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts

NLNL: Negative Learning for Noisy Labels

Youngdong Kim, Junho Yim, Juseung Yun, Junmo Kim

Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation

Seungmin Lee, Dongwan Kim, Namil Kim, Seong-Gyun Jeong

Goal-Driven Sequential Data Abstraction

Umar Riaz Muhammad, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song

Hierarchical Self-Attention Network for Action Localization in Videos

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

Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning

Pedro Hermosilla, Tobias Ritschel, Timo Ropinski

SANet: Scene Agnostic Network for Camera Localization

Luwei Yang, Ziqian Bai, Chengzhou Tang, Honghua Li, Yasutaka Furukawa

Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization

Mans Larsson, Erik Stenborg, Carl Toft, Lars Hammarstrand, Torsten Sattler

DeepVCP: An End-to-End Deep Neural Network for Point Cloud Registration

Weixin Lu, Guowei Wan, Yao Zhou, Xiangyu Fu, Pengfei Yuan

FaceForensics++: Learning to Detect Manipulated Facial Images

Andreas Rossler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies