ICCV 2019

1,075 papers

GLAMpoints: Greedily Learned Accurate Match Points

Prune Truong, Stefanos Apostolopoulos, Agata Mosinska, Samuel Stucky, Carlos Ciller

Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network

Shir Gur, Lior Wolf, Lior Golgher, Pablo Blinder

Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation

Jiahua Dong, Yang Cong, Gan Sun, Dongdong Hou

Multi-Stage Pathological Image Classification Using Semantic Segmentation

Shusuke Takahama, Yusuke Kurose, Yusuke Mukuta, Hiroyuki Abe, Masashi Fukayama

Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples With Applications to Neuroimaging

Seong Jae Hwang, Zirui Tao, Won Hwa Kim, Vikas Singh

CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation

Gang Xu, Zhigang Song, Zhuo Sun, Calvin Ku, Zhe Yang

Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation

Yuyin Zhou, Zhe Li, Song Bai, Chong Wang, Xinlei Chen

HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images

Lyndon Chan, Mahdi S. Hosseini, Corwyn Rowsell, Konstantinos N. Plataniotis, Savvas Damaskinos

An Alarm System for Segmentation Algorithm Based on Shape Model

Fengze Liu, Yingda Xia, Dong Yang, Alan L. Yuille, Daguang Xu

Joint Acne Image Grading and Counting via Label Distribution Learning

Xiaoping Wu, Ni Wen, Jie Liang, Yu-Kun Lai, Dongyu She

Align, Attend and Locate: Chest X-Ray Diagnosis via Contrast Induced Attention Network With Limited Supervision

Jingyu Liu, Gangming Zhao, Yu Fei, Ming Zhang, Yizhou Wang

Dilated Convolutional Neural Networks for Sequential Manifold-Valued Data

Xingjian Zhen, Rudrasis Chakraborty, Nicholas Vogt, Barbara B. Bendlin, Vikas Singh

DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer

Haoliang Sun, Ronak Mehta, Hao H. Zhou, Zhichun Huang, Sterling C. Johnson

Recursive Cascaded Networks for Unsupervised Medical Image Registration

Shengyu Zhao, Yue Dong, Eric I-Chao Chang, Yan Xu

Learning With Unsure Data for Medical Image Diagnosis

Botong Wu, Xinwei Sun, Lingjing Hu, Yizhou Wang

A Deep Cybersickness Predictor Based on Brain Signal Analysis for Virtual Reality Contents

Jinwoo Kim, Woojae Kim, Heeseok Oh, Seongmin Lee, Sanghoon Lee

Scaling Recurrent Models via Orthogonal Approximations in Tensor Trains

Ronak Mehta, Rudrasis Chakraborty, Yunyang Xiong, Vikas Singh

Very Long Natural Scenery Image Prediction by Outpainting

Zongxin Yang, Jian Dong, Ping Liu, Yi Yang, Shuicheng Yan

Few-Shot Unsupervised Image-to-Image Translation

Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila

Attribute Manipulation Generative Adversarial Networks for Fashion Images

Kenan E. Ak, Joo Hwee Lim, Jo Yew Tham, Ashraf A. Kassim

Image Synthesis From Reconfigurable Layout and Style

Wei Sun, Tianfu Wu

Boundless: Generative Adversarial Networks for Image Extension

Piotr Teterwak, Aaron Sarna, Dilip Krishnan, Aaron Maschinot, David Belanger

VTNFP: An Image-Based Virtual Try-On Network With Body and Clothing Feature Preservation

Ruiyun Yu, Xiaoqi Wang, Xiaohui Xie

Semantics-Enhanced Adversarial Nets for Text-to-Image Synthesis

Hongchen Tan, Xiuping Liu, Xin Li, Yi Zhang, Baocai Yin

Point-to-Point Video Generation

Tsun-Hsuan Wang, Yen-Chi Cheng, Chieh Hubert Lin, Hwann-Tzong Chen, Min Sun

LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup

Qiao Gu, Guanzhi Wang, Mang Tik Chiu, Yu-Wing Tai, Chi-Keung Tang

ClothFlow: A Flow-Based Model for Clothed Person Generation

Xintong Han, Xiaojun Hu, Weilin Huang, Matthew R. Scott

SME-Net: Sparse Motion Estimation for Parametric Video Prediction Through Reinforcement Learning

Yung-Han Ho, Chuan-Yuan Cho, Wen-Hsiao Peng, Guo-Lun Jin

P-MVSNet: Learning Patch-Wise Matching Confidence Aggregation for Multi-View Stereo

Keyang Luo, Tao Guan, Lili Ju, Haipeng Huang, Yawei Luo

Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds From Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction

Zhizhong Han, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker

Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation

Li Jiang, Hengshuang Zhao, Shu Liu, Xiaoyong Shen, Chi-Wing Fu

U4D: Unsupervised 4D Dynamic Scene Understanding

Armin Mustafa, Chris Russell, Adrian Hilton

TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo

Andrea Romanoni, Matteo Matteucci

VrR-VG: Refocusing Visually-Relevant Relationships

Yuanzhi Liang, Yalong Bai, Wei Zhang, Xueming Qian, Li Zhu

Learning to Caption Images Through a Lifetime by Asking Questions

Tingke Shen, Amlan Kar, Sanja Fidler

Joint Prediction for Kinematic Trajectories in Vehicle-Pedestrian-Mixed Scenes

Huikun Bi, Zhong Fang, Tianlu Mao, Zhaoqi Wang, Zhigang Deng

Reuben Tan, Mariya I. Vasileva, Kate Saenko, Bryan A. Plummer

Mixture-Kernel Graph Attention Network for Situation Recognition

Mohammed Suhail, Leonid Sigal

Occlusion-Shared and Feature-Separated Network for Occlusion Relationship Reasoning

Rui Lu, Feng Xue, Menghan Zhou, Anlong Ming, Yu Zhou

Modeling Inter and Intra-Class Relations in the Triplet Loss for Zero-Shot Learning

Yannick Le Cacheux, Herve Le Borgne, Michel Crucianu

Unpaired Image Captioning via Scene Graph Alignments

Jiuxiang Gu, Shafiq Joty, Jianfei Cai, Handong Zhao, Xu Yang

Relation-Aware Graph Attention Network for Visual Question Answering

Linjie Li, Zhe Gan, Yu Cheng, Jingjing Liu

Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction

Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, Devon Hjelm, Layla El Asri

Language-Conditioned Graph Networks for Relational Reasoning

Ronghang Hu, Anna Rohrbach, Trevor Darrell, Kate Saenko

HiPPI: Higher-Order Projected Power Iterations for Scalable Multi-Matching

Florian Bernard, Johan Thunberg, Paul Swoboda, Christian Theobalt

A Bayesian Optimization Framework for Neural Network Compression

Xingchen Ma, Amal Rannen Triki, Maxim Berman, Christos Sagonas, Jacques Cali

Parametric Majorization for Data-Driven Energy Minimization Methods

Jonas Geiping, Michael Moeller

K-Best Transformation Synchronization

Yifan Sun, JIACHENG ZHUO, Arnav Mohan, Qixing Huang

Pareto Meets Huber: Efficiently Avoiding Poor Minima in Robust Estimation

Christopher Zach, Guillaume Bourmaud

Convex Relaxations for Consensus and Non-Minimal Problems in 3D Vision

Thomas Probst, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool

Deep Tensor ADMM-Net for Snapshot Compressive Imaging

Jiawei Ma, Xiao-Yang Liu, Zheng Shou, Xin Yuan

ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal

Bin Ding, Chengjiang Long, Ling Zhang, Chunxia Xiao

Physics-Based Rendering for Improving Robustness to Rain

Shirsendu Sukanta Halder, Jean-Francois Lalonde, Raoul de Charette

Deep Optics for Monocular Depth Estimation and 3D Object Detection

Julie Chang, Gordon Wetzstein

Computational Hyperspectral Imaging Based on Dimension-Discriminative Low-Rank Tensor Recovery

Shipeng Zhang, Lizhi Wang, Ying Fu, Xiaoming Zhong, Hua Huang

Flare in Interference-Based Hyperspectral Cameras

Eden Sassoon, Yoav Y. Schechner, Tali treibitz

Deep Head Pose Estimation Using Synthetic Images and Partial Adversarial Domain Adaption for Continuous Label Spaces

Felix Kuhnke, Jorn Ostermann

Context-Aware Emotion Recognition Networks

Jiyoung Lee, Seungryong Kim, Sunok Kim, JungIn Park, Kwanghoon Sohn

Camera Distance-Aware Top-Down Approach for 3D Multi-Person Pose Estimation From a Single RGB Image

Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee

Discriminatively Learned Convex Models for Set Based Face Recognition

Hakan Cevikalp, Golara Ghorban Dordinejad

Through-Wall Human Mesh Recovery Using Radio Signals

Mingmin Zhao, Yingcheng Liu, Aniruddh Raghu, Tianhong Li, Hang Zhao

Laplace Landmark Localization

Joseph P. Robinson, Yuncheng Li, Ning Zhang, Yun Fu, Sergey Tulyakov

End-to-End Learning for Graph Decomposition

Jie Song, Bjoern Andres, Michael J. Black, Otmar Hilliges, Siyu Tang

Ego-Pose Estimation and Forecasting As Real-Time PD Control

Ye Yuan, Kris Kitani

Detecting Photoshopped Faces by Scripting Photoshop

Sheng-Yu Wang, Oliver Wang, Andrew Owens, Richard Zhang, Alexei A. Efros

Face De-Occlusion Using 3D Morphable Model and Generative Adversarial Network

Xiaowei Yuan, In Kyu Park

Fair Loss: Margin-Aware Reinforcement Learning for Deep Face Recognition

Bingyu Liu, Weihong Deng, Yaoyao Zhong, Mei Wang, Jiani Hu

M2FPA: A Multi-Yaw Multi-Pitch High-Quality Dataset and Benchmark for Facial Pose Analysis

Peipei Li, Xiang Wu, Yibo Hu, Ran He, Zhenan Sun

Make a Face: Towards Arbitrary High Fidelity Face Manipulation

Shengju Qian, Kwan-Yee Lin, Wayne Wu, Yangxiaokang Liu, Quan Wang

Learning Joint 2D-3D Representations for Depth Completion

Yun Chen, Bin Yang, Ming Liang, Raquel Urtasun

CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark

Alan Lukežič, Ugur Kart, Jani Kapyla, Ahmed Durmush, Joni-Kristian Kämäräinen

GEOBIT: A Geodesic-Based Binary Descriptor Invariant to Non-Rigid Deformations for RGB-D Images

Erickson R. Nascimento, Guilherme Potje, Renato Martins, Felipe Cadar, Mario F. M. Campos

Deep End-to-End Alignment and Refinement for Time-of-Flight RGB-D Module

Di Qiu, Jiahao Pang, Wenxiu Sun, Chengxi Yang

Escaping Plato's Cave: 3D Shape From Adversarial Rendering

Philipp Henzler, Niloy J. Mitra, Tobias Ritschel

UprightNet: Geometry-Aware Camera Orientation Estimation From Single Images

Wenqi Xian, Zhengqi Li, Matthew Fisher, Jonathan Eisenmann, Eli Shechtman

Deep Mesh Reconstruction From Single RGB Images via Topology Modification Networks

Junyi Pan, Xiaoguang Han, Weikai Chen, Jiapeng Tang, Kui Jia

Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction

Luca Anthony Thiede, Pratik Prabhanjan Brahma

Cluster Alignment With a Teacher for Unsupervised Domain Adaptation

Zhijie Deng, Yucen Luo, Jun Zhu

New Convex Relaxations for MRF Inference With Unknown Graphs

Zhenhua Wang, Tong Liu, Qinfeng Shi, M. Pawan Kumar, Jianhua Zhang

Meta-Learning to Detect Rare Objects

Yu-Xiong Wang, Deva Ramanan, Martial Hebert

Is an Affine Constraint Needed for Affine Subspace Clustering?

Chong You, Chun-Guang Li, Daniel P. Robinson, René Vidal

Robust Variational Bayesian Point Set Registration

Jie Zhou, Xinke Ma, Li Liang, Yang Yang, Shijin Xu

LayoutVAE: Stochastic Scene Layout Generation From a Label Set

Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori

Order-Preserving Wasserstein Discriminant Analysis

Bing Su, Jiahuan Zhou, Ying Wu

Subspace Structure-Aware Spectral Clustering for Robust Subspace Clustering

Masataka Yamaguchi, Go Irie, Takahito Kawanishi, Kunio Kashino

Invariant Information Clustering for Unsupervised Image Classification and Segmentation

Xu Ji, João F. Henriques, Andrea Vedaldi

Deep Constrained Dominant Sets for Person Re-Identification

Leulseged Tesfaye Alemu, Marcello Pelillo, Mubarak Shah

Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning

Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal

C-MIDN: Coupled Multiple Instance Detection Network With Segmentation Guidance for Weakly Supervised Object Detection

Yan Gao, Boxiao Liu, Nan Guo, Xiaochun Ye, Fang Wan

Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage Cost

Huu Le, Ming Xu, Tuan Hoang, Michael Milford

Re-ID Driven Localization Refinement for Person Search

Chuchu Han, Jiacheng Ye, Yunshan Zhong, Xin Tan, Chi Zhang

Detecting 11K Classes: Large Scale Object Detection Without Fine-Grained Bounding Boxes

Hao Yang, Hao Wu, Hao Chen

Deep Supervised Hashing With Anchor Graph

Yudong Chen, Zhihui Lai, Yujuan Ding, Kaiyi Lin, Wai Keung Wong

Mesh R-CNN

Georgia Gkioxari, Jitendra Malik, Justin Johnson

Fast Point R-CNN

Yilun Chen, Shu Liu, Xiaoyong Shen, Jiaya Jia

Transferable Contrastive Network for Generalized Zero-Shot Learning

Huajie Jiang, Ruiping Wang, Shiguang Shan, Xilin Chen

Leveraging Long-Range Temporal Relationships Between Proposals for Video Object Detection

Mykhailo Shvets, Wei Liu, Alexander C. Berg

AutoFocus: Efficient Multi-Scale Inference

Mahyar Najibi, Bharat Singh, Larry S. Davis

Weakly Supervised Object Detection With Segmentation Collaboration

Xiaoyan Li, Meina Kan, Shiguang Shan, Xilin Chen

Better to Follow, Follow to Be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection

Junhyug Noh, Wonho Bae, Wonhee Lee, Jinhwan Seo, Gunhee Kim