CVPR 2019

1,294 papers

DynTypo: Example-Based Dynamic Text Effects Transfer

Yifang Men, Zhouhui Lian, Yingmin Tang, Jianguo Xiao

Structure-Preserving Stereoscopic View Synthesis With Multi-Scale Adversarial Correlation Matching

Yu Zhang, Dongqing Zou, Jimmy S. Ren, Zhe Jiang, Xiaohao Chen

Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-To-Image Translation

Matteo Tomei, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara

Foreground-Aware Image Inpainting

Wei Xiong, Jiahui Yu, Zhe Lin, Jimei Yang, Xin Lu

SketchGAN: Joint Sketch Completion and Recognition With Generative Adversarial Network

Fang Liu, Xiaoming Deng, Yu-Kun Lai, Yong-jin Liu, Cuixia Ma

Mixture Density Generative Adversarial Networks

Hamid Eghbal-zadeh, Werner Zellinger, Gerhard Widmer

Non-Adversarial Image Synthesis With Generative Latent Nearest Neighbors

Yedid Hoshen, Ke Li, Jitendra Malik

DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-To-Image Synthesis

Minfeng Zhu, Pingbo Pan, Wei Chen, Yi Yang

Deep Video Inpainting

Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon

ROI Pooled Correlation Filters for Visual Tracking

Yuxuan Sun, Chong Sun, Dong Wang, You He, Huchuan Lu

Led3D: A Lightweight and Efficient Deep Approach to Recognizing Low-Quality 3D Faces

Guodong Mu, Di Huang, Guosheng Hu, Jia Sun, Yunhong Wang

Inverse Discriminative Networks for Handwritten Signature Verification

Ping Wei, Huan Li, Ping Hu

Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation

Junhwa Hur, Stefan Roth

On the Continuity of Rotation Representations in Neural Networks

Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, Hao Li

Re-Identification With Consistent Attentive Siamese Networks

Meng Zheng, Srikrishna Karanam, Ziyan Wu, Richard J. Radke

Peeking Into the Future: Predicting Future Person Activities and Locations in Videos

Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander G. Hauptmann, Li Fei-fei

Unsupervised 3D Pose Estimation With Geometric Self-Supervision

Ching-Hang Chen, Ambrish Tyagi, Amit Agrawal, Dylan Drover, Rohith MV

Feature Transfer Learning for Face Recognition With Under-Represented Data

Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker

Deep High-Resolution Representation Learning for Human Pose Estimation

Ke Sun, Bin Xiao, Dong Liu, Jingdong Wang

A Compact Embedding for Facial Expression Similarity

Raviteja Vemulapalli, Aseem Agarwala

Multi-Person Pose Estimation With Enhanced Channel-Wise and Spatial Information

Kai Su, Dongdong Yu, Zhenqi Xu, Xin Geng, Changhu Wang

Multi-Person Articulated Tracking With Spatial and Temporal Embeddings

Sheng Jin, Wentao Liu, Wanli Ouyang, Chen Qian

Face Parsing With RoI Tanh-Warping

Jinpeng Lin, Hao Yang, Dong Chen, Ming Zeng, Fang Wen

Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction

Alex Wong, Stefano Soatto

Visual Localization by Learning Objects-Of-Interest Dense Match Regression

Philippe Weinzaepfel, Gabriela Csurka, Yohann Cabon, Martin Humenberger

Lending Orientation to Neural Networks for Cross-View Geo-Localization

Liu Liu, Hongdong Li

Learning 3D Human Dynamics From Video

Angjoo Kanazawa, Jason Y. Zhang, Panna Felsen, Jitendra Malik

Learning Single-Image Depth From Videos Using Quality Assessment Networks

Weifeng Chen, Shengyi Qian, Jia Deng

Learning Independent Object Motion From Unlabelled Stereoscopic Videos

Zhe Cao, Abhishek Kar, Christian Häne, Jitendra Malik

Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial Learning

Gianluca Agresti, Henrik Schaefer, Piergiorgio Sartor, Pietro Zanuttigh

Scan2Mesh: From Unstructured Range Scans to 3D Meshes

Angela Dai, Matthias Niessner

PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing

Hengshuang Zhao, Li Jiang, Chi-Wing Fu, Jiaya Jia

Recurrent Neural Network for (Un-)Supervised Learning of Monocular Video Visual Odometry and Depth

Rui Wang, Stephen M. Pizer, Jan-Michael Frahm

The Perfect Match: 3D Point Cloud Matching With Smoothed Densities

Zan Gojcic, Caifa Zhou, Jan D. Wegner, Andreas Wieser

Synthesizing 3D Shapes From Silhouette Image Collections Using Multi-Projection Generative Adversarial Networks

Xiao Li, Yue Dong, Pieter Peers, Xin Tong

Recurrent MVSNet for High-Resolution Multi-View Stereo Depth Inference

Yao Yao, Zixin Luo, Shiwei Li, Tianwei Shen, Tian Fang

Hierarchical Deep Stereo Matching on High-Resolution Images

Gengshan Yang, Joshua Manela, Michael Happold, Deva Ramanan

SimulCap : Single-View Human Performance Capture With Cloth Simulation

Tao Yu, Zerong Zheng, Yuan Zhong, Jianhui Zhao, Qionghai Dai

Privacy Preserving Image-Based Localization

Pablo Speciale, Johannes L. Schonberger, Sing Bing Kang, Sudipta N. Sinha, Marc Pollefeys

Multi-Scale Geometric Consistency Guided Multi-View Stereo

Qingshan Xu, Wenbing Tao

Self-Supervised Convolutional Subspace Clustering Network

Junjian Zhang, Chun-Guang Li, Chong You, Xianbiao Qi, Honggang Zhang

Compressing Unknown Images With Product Quantizer for Efficient Zero-Shot Classification

Jin Li, Xuguang Lan, Yang Liu, Le Wang, Nanning Zheng

ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving

Xibin Song, Peng Wang, Dingfu Zhou, Rui Zhu, Chenye Guan

A Bayesian Perspective on the Deep Image Prior

Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon

Predicting Visible Image Differences Under Varying Display Brightness and Viewing Distance

Nanyang Ye, Krzysztof Wolski, Rafal K. Mantiuk

Efficient Multi-Domain Learning by Covariance Normalization

Yunsheng Li, Nuno Vasconcelos

Iterative Projection and Matching: Finding Structure-Preserving Representatives and Its Application to Computer Vision

Alireza Zaeemzadeh, Mohsen Joneidi, Nazanin Rahnavard, Mubarak Shah

A Neurobiological Evaluation Metric for Neural Network Model Search

Nathaniel Blanchard, Jeffery Kinnison, Brandon RichardWebster, Pouya Bashivan, Walter J. Scheirer

Weakly Supervised Open-Set Domain Adaptation by Dual-Domain Collaboration

Shuhan Tan, Jiening Jiao, Wei-Shi Zheng

Creative Flow+ Dataset

Maria Shugrina, Ziheng Liang, Amlan Kar, Jiaman Li, Angad Singh

LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking

Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng

Fast Object Class Labelling via Speech

Michael Gygli, Vittorio Ferrari

LVIS: A Dataset for Large Vocabulary Instance Segmentation

Agrim Gupta, Piotr Dollár, Ross Girshick

Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure From Motion

Suryansh Kumar

DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images

Yuying Ge, Ruimao Zhang, Xiaogang Wang, Xiaoou Tang, Ping Luo

Surface Reconstruction From Normals: A Robust DGP-Based Discontinuity Preservation Approach

Wuyuan Xie, Miaohui Wang, Mingqiang Wei, Jianmin Jiang, Jing Qin

RAVEN: A Dataset for Relational and Analogical Visual REasoNing

Chi Zhang, Feng Gao, Baoxiong Jia, Yixin Zhu, Song-chun Zhu

Scene Parsing via Integrated Classification Model and Variance-Based Regularization

Hengcan Shi, Hongliang Li, Qingbo Wu, Zichen Song

Interactive Image Segmentation via Backpropagating Refinement Scheme

Won-Dong Jang, Chang-Su Kim

DeepFlux for Skeletons in the Wild

Yukang Wang, Yongchao Xu, Stavros Tsogkas, Xiang Bai, Sven Dickinson

RVOS: End-To-End Recurrent Network for Video Object Segmentation

Carles Ventura, Miriam Bellver, Andreu Girbau, Amaia Salvador, Ferran Marques

FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference

Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon

Fast Interactive Object Annotation With Curve-GCN

huan ling, Jun Gao, Amlan Kar, Wenzheng Chen, Sanja Fidler

Fast User-Guided Video Object Segmentation by Interaction-And-Propagation Networks

Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim

KE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing

Mengshi Qi, Yunhong Wang, Jie Qin, Annan Li

Precise Detection in Densely Packed Scenes

Eran Goldman, Roei Herzig, Aviv Eisenschtat, Jacob Goldberger, Tal Hassner

CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning

Chi Zhang, Guosheng Lin, Fayao Liu, Rui Yao, Chunhua Shen

Ranked List Loss for Deep Metric Learning

Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Romain Garnier

RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection

Leonid Karlinsky, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides

High-Level Semantic Feature Detection: A New Perspective for Pedestrian Detection

Wei Liu, Shengcai Liao, Weiqiang Ren, Weidong Hu, Yinan Yu

Multi-Label Image Recognition With Graph Convolutional Networks

Zhao-Min Chen, Xiu-Shen Wei, Peng Wang, Yanwen Guo

Distraction-Aware Shadow Detection

Quanlong Zheng, Xiaotian Qiao, Ying Cao, Rynson W.H. Lau

Destruction and Construction Learning for Fine-Grained Image Recognition

Yue Chen, Yalong Bai, Wei Zhang, Tao Mei

Dynamic Recursive Neural Network

Qiushan Guo, Zhipeng Yu, Yichao Wu, Ding Liang, Haoyu Qin

Learning Without Memorizing

Prithviraj Dhar, Rajat Vikram Singh, Kuan-Chuan Peng, Ziyan Wu, Rama Chellappa

On Exploring Undetermined Relationships for Visual Relationship Detection

Yibing Zhan, Jun Yu, Ting Yu, Dacheng Tao

Towards Accurate One-Stage Object Detection With AP-Loss

Kean Chen, Jianguo Li, Weiyao Lin, John See, Ji Wang

Detect-To-Retrieve: Efficient Regional Aggregation for Image Search

Marvin Teichmann, Andre Araujo, Menglong Zhu, Jack Sim

Context-Aware Crowd Counting

Weizhe Liu, Mathieu Salzmann, Pascal Fua

Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-Based Image Retrieval

Anjan Dutta, Zeynep Akata

Deep Global Generalized Gaussian Networks

Qilong Wang, Peihua Li, Qinghua Hu, Pengfei Zhu, Wangmeng Zuo

Label Propagation for Deep Semi-Supervised Learning

Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondřej Chum

DSFD: Dual Shot Face Detector

Jian Li, Yabiao Wang, Changan Wang, Ying Tai, Jianjun Qian

Learning to Learn From Noisy Labeled Data

Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli

End-To-End Supervised Product Quantization for Image Search and Retrieval

Benjamin Klein, Lior Wolf

Domain-Symmetric Networks for Adversarial Domain Adaptation

Yabin Zhang, Hui Tang, Kui Jia, Mingkui Tan

Xun Wang, Xintong Han, Weilin Huang, Dengke Dong, Matthew R. Scott

Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition

Heliang Zheng, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo

Learning to Learn Relation for Important People Detection in Still Images

Wei-Hong Li, Fa-Ting Hong, Wei-Shi Zheng

ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis

Chao Chen, Guanbin Li, Ruijia Xu, Tianshui Chen, Meng Wang

Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations

Wonhee Lee, Joonil Na, Gunhee Kim

Hybrid Task Cascade for Instance Segmentation

Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li

Deep Embedding Learning With Discriminative Sampling Policy

Yueqi Duan, Lei Chen, Jiwen Lu, Jie Zhou

Knockoff Nets: Stealing Functionality of Black-Box Models

Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz

Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure

Xiaohan Ding, guiguang ding, Yuchen Guo, Jungong Han

Distilling Object Detectors With Fine-Grained Feature Imitation

Tao Wang, Li Yuan, XIAOPENG ZHANG, Jiashi Feng

Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?

Shilin Zhu, Xin Dong, Hao Su

Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification

Yiru Zhao, Xu Shen, Zhongming Jin, Hongtao Lu, Xian-Sheng Hua

LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks

Sudhakar Kumawat, Shanmuganathan Raman

Contrastive Adaptation Network for Unsupervised Domain Adaptation

Guoliang Kang, Lu Jiang, Yi Yang, Alexander G. Hauptmann