CVPR 2019

1,294 papers

WarpGAN: Automatic Caricature Generation

Yichun Shi, Debayan Deb, Anil K. Jain

Constrained Generative Adversarial Networks for Interactive Image Generation

Eric Heim

APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANs

Ran Yi, Yong-jin Liu, Yu-Kun Lai, Paul L. Rosin

FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search

Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun

DeepCaps: Going Deeper With Capsule Networks

Jathushan Rajasegaran, Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Suranga Seneviratne

Cascaded Projection: End-To-End Network Compression and Acceleration

Breton Minnehan, Andreas Savakis

Attention Branch Network: Learning of Attention Mechanism for Visual Explanation

Hiroshi Fukui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Fast, Diverse and Accurate Image Captioning Guided by Part-Of-Speech

Aditya Deshpande, Jyoti Aneja, Liwei Wang, Alexander G. Schwing, David Forsyth

Auto-Encoding Scene Graphs for Image Captioning

Xu Yang, Kaihua Tang, Hanwang Zhang, Jianfei Cai

Tangent-Normal Adversarial Regularization for Semi-Supervised Learning

Bing Yu, Jingfeng Wu, Jinwen Ma, Zhanxing Zhu

RePr: Improved Training of Convolutional Filters

Aaditya Prakash, James Storer, Dinei Florencio, Cha Zhang

Meta-Learning With Differentiable Convex Optimization

Kwonjoon Lee, Subhransu Maji, Avinash Ravichandran, Stefano Soatto

Max-Sliced Wasserstein Distance and Its Use for GANs

Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui

Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation

Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo

Practical Full Resolution Learned Lossless Image Compression

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

X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks

Xingde Ying, Heng Guo, Kai Ma, Jian Wu, Zhengxin Weng

Connecting Touch and Vision via Cross-Modal Prediction

Yunzhu Li, Jun-Yan Zhu, Russ Tedrake, Antonio Torralba

Multi-Step Prediction of Occupancy Grid Maps With Recurrent Neural Networks

Nima Mohajerin, Mohsen Rohani

Grounding Human-To-Vehicle Advice for Self-Driving Vehicles

Jinkyu Kim, Teruhisa Misu, Yi-Ting Chen, Ashish Tawari, John Canny

Privacy Protection in Street-View Panoramas Using Depth and Multi-View Imagery

Ries Uittenbogaard, Clint Sebastian, Julien Vijverberg, Bas Boom, Dariu M. Gavrila

Attention Based Glaucoma Detection: A Large-Scale Database and CNN Model

Liu Li, Mai Xu, Xiaofei Wang, Lai Jiang, Hanruo Liu

Learning Binary Code for Personalized Fashion Recommendation

Zhi Lu, Yang Hu, Yunchao Jiang, Yan Chen, Bing Zeng

Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes

Chengquan Zhang, Borong Liang, Zuming Huang, Mengyi En, Junyu Han

Selective Sensor Fusion for Neural Visual-Inertial Odometry

Changhao Chen, Stefano Rosa, Yishu Miao, Chris Xiaoxuan Lu, Wei Wu

Complete the Look: Scene-Based Complementary Product Recommendation

Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian McAuley

Fast Spatio-Temporal Residual Network for Video Super-Resolution

Sheng Li, Fengxiang He, Bo Du, Lefei Zhang, Yonghao Xu

DuDoNet: Dual Domain Network for CT Metal Artifact Reduction

Wei-An Lin, Haofu Liao, Cheng Peng, Xiaohang Sun, Jingdan Zhang

Cross-Modal Self-Attention Network for Referring Image Segmentation

Linwei Ye, Mrigank Rochan, Zhi Liu, Yang Wang

Multi-Task Learning of Hierarchical Vision-Language Representation

Duy-Kien Nguyen, Takayuki Okatani

Unsupervised Multi-Modal Neural Machine Translation

Yuanhang Su, Kai Fan, Nguyen Bach, C.-C. Jay Kuo, Fei Huang

Answer Them All! Toward Universal Visual Question Answering Models

Robik Shrestha, Kushal Kafle, Christopher Kanan

Adversarial Semantic Alignment for Improved Image Captions

Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu

Inverse Cooking: Recipe Generation From Food Images

Amaia Salvador, Michal Drozdzal, Xavier Giró-i-Nieto, Adriana Romero

Not All Frames Are Equal: Weakly-Supervised Video Grounding With Contextual Similarity and Visual Clustering Losses

Jing Shi, Jia Xu, Boqing Gong, Chenliang Xu

Image-Question-Answer Synergistic Network for Visual Dialog

Dalu Guo, Chang Xu, Dacheng Tao

Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph

Yao-Hung Hubert Tsai, Santosh Divvala, Louis-Philippe Morency, Ruslan Salakhutdinov, Ali Farhadi

Data Representation and Learning With Graph Diffusion-Embedding Networks

Bo Jiang, Doudou Lin, Jin Tang, Bin Luo

A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning

Thanh-Toan Do, Toan Tran, Ian Reid, Vijay Kumar, Tuan Hoang

Deep Supervised Cross-Modal Retrieval

Liangli Zhen, Peng Hu, Xu Wang, Dezhong Peng

Improved Road Connectivity by Joint Learning of Orientation and Segmentation

Anil Batra, Suriya Singh, Guan Pang, Saikat Basu, C.V. Jawahar

Weakly Supervised Deep Image Hashing Through Tag Embeddings

Vijetha Gattupalli, Yaoxin Zhuo, baoxin Li

Self-Supervised Representation Learning by Rotation Feature Decoupling

Zeyu Feng, Chang Xu, Dacheng Tao

Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network

Xianglei Xing, Tian Han, Ruiqi Gao, Song-chun Zhu, Ying Nian Wu

Superquadrics Revisited: Learning 3D Shape Parsing Beyond Cuboids

Despoina Paschalidou, Ali Osman Ulusoy, Andreas Geiger

Self-Supervised Spatiotemporal Learning via Video Clip Order Prediction

Dejing Xu, Jun Xiao, Zhou Zhao, Jian Shao, Di Xie

A Parametric Top-View Representation of Complex Road Scenes

Ziyan Wang, Buyu Liu, Samuel Schulter, Manmohan Chandraker

Learning to Localize Through Compressed Binary Maps

Xinkai Wei, Ioan Andrei Barsan, Shenlong Wang, Julieta Martinez, Raquel Urtasun

Normalized Diversification

Shaohui Liu, Xiao Zhang, Jianqiao Wangni, Jianbo Shi

Graph Attention Convolution for Point Cloud Semantic Segmentation

Lei Wang, Yuchun Huang, Yaolin Hou, Shenman Zhang, Jie Shan

Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation

Chen-Yu Lee, Tanmay Batra, Mohammad Haris Baig, Daniel Ulbricht

F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning

Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata

A Variational Pan-Sharpening With Local Gradient Constraints

Xueyang Fu, Zihuang Lin, Yue Huang, Xinghao Ding

Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior

Magauiya Zhussip, Shakarim Soltanayev, Se Young Chun

Speed Invariant Time Surface for Learning to Detect Corner Points With Event-Based Cameras

Jacques Manderscheid, Amos Sironi, Nicolas Bourdis, Davide Migliore, Vincent Lepetit

Douglas-Rachford Networks: Learning Both the Image Prior and Data Fidelity Terms for Blind Image Deconvolution

Raied Aljadaany, Dipan K. Pal, Marios Savvides

Unsupervised Domain-Specific Deblurring via Disentangled Representations

Boyu Lu, Jun-Cheng Chen, Rama Chellappa

Divergence Prior and Vessel-Tree Reconstruction

Zhongwen Zhang, Dmitrii Marin, Egor Chesakov, Marc Moreno Maza, Maria Drangova

Understanding and Visualizing Deep Visual Saliency Models

Sen He, Hamed R. Tavakoli, Ali Borji, Yang Mi, Nicolas Pugeault

MAGSAC: Marginalizing Sample Consensus

Daniel Barath, Jiri Matas, Jana Noskova

Beyond Gradient Descent for Regularized Segmentation Losses

Dmitrii Marin, Meng Tang, Ismail Ben Ayed, Yuri Boykov

Viewport Proposal CNN for 360deg Video Quality Assessment

Chen Li, Mai Xu, Lai Jiang, Shanyi Zhang, Xiaoming Tao

A Variational EM Framework With Adaptive Edge Selection for Blind Motion Deblurring

Liuge Yang, Hui Ji

All-Weather Deep Outdoor Lighting Estimation

Jinsong Zhang, Kalyan Sunkavalli, Yannick Hold-Geoffroy, Sunil Hadap, Jonathan Eisenman

Hyperspectral Imaging With Random Printed Mask

Yuanyuan Zhao, Hui GUO, Zhan Ma, Xun Cao, Tao Yue

Analysis of Feature Visibility in Non-Line-Of-Sight Measurements

Xiaochun Liu, Sebastian Bauer, Andreas Velten

Deep Geometric Prior for Surface Reconstruction

Francis Williams, Teseo Schneider, Claudio Silva, Denis Zorin, Joan Bruna

Ray-Space Projection Model for Light Field Camera

Qi Zhang, Jinbo Ling, Qing Wang, Jingyi Yu

Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds Using Convolutional Neural Networks

Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer

Capture, Learning, and Synthesis of 3D Speaking Styles

Daniel Cudeiro, Timo Bolkart, Cassidy Laidlaw, Anurag Ranjan, Michael J. Black

Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification

Si Wu, Guangchang Deng, Jichang Li, Rui Li, Zhiwen Yu

Event-Based High Dynamic Range Image and Very High Frame Rate Video Generation Using Conditional Generative Adversarial Networks

Lin Wang, S. Mohammad Mostafavi I., Yo-Sung Ho, Kuk-Jin Yoon

Learning Image and Video Compression Through Spatial-Temporal Energy Compaction

Zhengxue Cheng, Heming Sun, Masaru Takeuchi, Jiro Katto

Inserting Videos Into Videos

Donghoon Lee, Tomas Pfister, Ming-Hsuan Yang

Style Transfer by Relaxed Optimal Transport and Self-Similarity

Nicholas Kolkin, Jason Salavon, Gregory Shakhnarovich

BeautyGlow: On-Demand Makeup Transfer Framework With Reversible Generative Network

Hung-Jen Chen, Ka-Ming Hui, Szu-Yu Wang, Li-Wu Tsao, Hong-Han Shuai

A Content Transformation Block for Image Style Transfer

Dmytro Kotovenko, Artsiom Sanakoyeu, Pingchuan Ma, Sabine Lang, Bjorn Ommer

Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection

Rui Shao, Xiangyuan Lan, Jiawei Li, Pong C. Yuen

Automatic Face Aging in Videos via Deep Reinforcement Learning

Chi Nhan Duong, Khoa Luu, Kha Gia Quach, Nghia Nguyen, Eric Patterson

Towards Natural and Accurate Future Motion Prediction of Humans and Animals

Zhenguang Liu, Shuang Wu, Shuyuan Jin, Qi Liu, Shijian Lu

Object Discovery in Videos as Foreground Motion Clustering

Christopher Xie, Yu Xiang, Zaïd Harchaoui, Dieter Fox

Out-Of-Distribution Detection for Generalized Zero-Shot Action Recognition

Devraj Mandal, Sanath Narayan, Sai Kumar Dwivedi, Vikram Gupta, Shuaib Ahmed

A Structured Model for Action Detection

Yubo Zhang, Pavel Tokmakov, Martial Hebert, Cordelia Schmid

Learning Actor Relation Graphs for Group Activity Recognition

Jianchao Wu, Limin Wang, Li Wang, Jie Guo, Gangshan Wu

LSTA: Long Short-Term Attention for Egocentric Action Recognition

Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz

Representation Flow for Action Recognition

AJ Piergiovanni, Michael S. Ryoo

Dance With Flow: Two-In-One Stream Action Detection

Jiaojiao Zhao, Cees G. M. Snoek

Time-Conditioned Action Anticipation in One Shot

Qiuhong Ke, Mario Fritz, Bernt Schiele

Action Recognition From Single Timestamp Supervision in Untrimmed Videos

Davide Moltisanti, Sanja Fidler, Dima Damen

P2SGrad: Refined Gradients for Optimizing Deep Face Models

Xiao Zhang, Rui Zhao, Junjie Yan, Mengya Gao, Yu Qiao

CrossInfoNet: Multi-Task Information Sharing Based Hand Pose Estimation

Kuo Du, Xiangbo Lin, Yi Sun, Xiaohong Ma

Generating Multiple Hypotheses for 3D Human Pose Estimation With Mixture Density Network

Chen Li, Gim Hee Lee

Disentangling Latent Hands for Image Synthesis and Pose Estimation

Linlin Yang, Angela Yao

R3 Adversarial Network for Cross Model Face Recognition

Ken Chen, Yichao Wu, Haoyu Qin, Ding Liang, Xuebo Liu

Semantic Component Decomposition for Face Attribute Manipulation

Ying-Cong Chen, Xiaohui Shen, Zhe Lin, Xin Lu, I-Ming Pao

Unsupervised Face Normalization With Extreme Pose and Expression in the Wild

Yichen Qian, Weihong Deng, Jiani Hu

Facial Emotion Distribution Learning by Exploiting Low-Rank Label Correlations Locally

Xiuyi Jia, Xiang Zheng, Weiwei Li, Changqing Zhang, Zechao Li

Neuro-Inspired Eye Tracking With Eye Movement Dynamics

Kang Wang, Hui Su, Qiang Ji

3D Guided Fine-Grained Face Manipulation

Zhenglin Geng, Chen Cao, Sergey Tulyakov

SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception

Yue Meng, Yongxi Lu, Aman Raj, Samuel Sunarjo, Rui Guo

Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge

Fabio Tosi, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia