CVPR 2019

1,294 papers

Unsupervised Learning of Consensus Maximization for 3D Vision Problems

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

A Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing

Shifeng Zhang, Xiaobo Wang, Ajian Liu, Chenxu Zhao, Jun Wan

PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding

Kaichun Mo, Shilin Zhu, Angel X. Chang, Li Yi, Subarna Tripathi

DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios

Guorun Yang, Xiao Song, Chaoqin Huang, Zhidong Deng, Jianping Shi

Pose2Seg: Detection Free Human Instance Segmentation

Song-Hai Zhang, Ruilong Li, Xin Dong, Paul Rosin, Zixi Cai

Unsupervised Moving Object Detection via Contextual Information Separation

Yanchao Yang, Antonio Loquercio, Davide Scaramuzza, Stefano Soatto

SCOPS: Self-Supervised Co-Part Segmentation

Wei-Chih Hung, Varun Jampani, Sifei Liu, Pavlo Molchanov, Ming-Hsuan Yang

Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples

Zihao Liu, Qi Liu, Tao Liu, Nuo Xu, Xue Lin

Bottom-Up Object Detection by Grouping Extreme and Center Points

Xingyi Zhou, JIACHENG ZHUO, Philipp Krähenbühl

Feature Selective Anchor-Free Module for Single-Shot Object Detection

Chenchen Zhu, Yihui He, Marios Savvides

Learning a Unified Classifier Incrementally via Rebalancing

Saihui Hou, Xinyu Pan, Chen Change Loy, Zilei Wang, Dahua Lin

Libra R-CNN: Towards Balanced Learning for Object Detection

Jiangmiao Pang, Kai Chen, Jianping Shi, Huajun Feng, Wanli Ouyang

Query-Guided End-To-End Person Search

Bharti Munjal, Sikandar Amin, Federico Tombari, Fabio Galasso

Generative Dual Adversarial Network for Generalized Zero-Shot Learning

He Huang, Changhu Wang, Philip S. Yu, Chang-Dong Wang

Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing

JIAXIN CHEN, Jie Qin, Li Liu, Fan Zhu, Fumin Shen

Automatic Adaptation of Object Detectors to New Domains Using Self-Training

Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang

PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud

Shaoshuai Shi, Xiaogang Wang, hongsheng Li

Weakly Supervised Person Re-Identification

Jingke Meng, Sheng Wu, Wei-Shi Zheng

Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization

Junbao Zhuo, Shuhui Wang, Shuhao Cui, Qingming Huang

Re-Ranking via Metric Fusion for Object Retrieval and Person Re-Identification

Song Bai, Peng Tang, Philip H.S. Torr, Longin Jan Latecki

Visual Attention Consistency Under Image Transforms for Multi-Label Image Classification

Hao Guo, Kang Zheng, Xiaochuan Fan, Hongkai Yu, Song Wang

Generalizable Person Re-Identification by Domain-Invariant Mapping Network

Jifei Song, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales

Thinking Outside the Pool: Active Training Image Creation for Relative Attributes

Aron Yu, Kristen Grauman

Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation

Yunhang Shen, Rongrong Ji, Yan Wang, Yongjian Wu, Liujuan Cao

Adapting Object Detectors via Selective Cross-Domain Alignment

Xinge ZHU, Jiangmiao Pang, Ceyuan Yang, Jianping Shi, Dahua Lin

Generalising Fine-Grained Sketch-Based Image Retrieval

Kaiyue Pang, Ke Li, Yongxin Yang, Honggang Zhang, Timothy M. Hospedales

Densely Semantically Aligned Person Re-Identification

Zhizheng Zhang, Cuiling Lan, Wenjun Zeng, Zhibo Chen

Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression

Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian Reid

Learning a Deep ConvNet for Multi-Label Classification With Partial Labels

Thibaut Durand, Nazanin Mehrasa, Greg Mori

Feature-Level Frankenstein: Eliminating Variations for Discriminative Recognition

Xiaofeng Liu, Site Li, Lingsheng Kong, Wanqing Xie, Ping Jia

Progressive Feature Alignment for Unsupervised Domain Adaptation

Chaoqi Chen, Weiping Xie, Wenbing Huang, Yu Rong, Xinghao Ding

Learning to Reduce Dual-Level Discrepancy for Infrared-Visible Person Re-Identification

Zhixiang Wang, Zheng Wang, Yinqiang Zheng, Yung-Yu Chuang, Shin'ichi Satoh

Dissecting Person Re-Identification From the Viewpoint of Viewpoint

Xiaoxiao Sun, Liang Zheng

Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-Identification

Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li, Yi Yang

Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack

Zhezhi He, Adnan Siraj Rakin, Deliang Fan

Knowledge Adaptation for Efficient Semantic Segmentation

Tong He, Chunhua Shen, Zhi Tian, Dong Gong, Changming Sun

Learning Channel-Wise Interactions for Binary Convolutional Neural Networks

Ziwei Wang, Jiwen Lu, Chenxin Tao, Jie Zhou, Qi Tian

Bag of Tricks for Image Classification with Convolutional Neural Networks

Tong He, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie

Co-Occurrent Features in Semantic Segmentation

Hang Zhang, Han Zhang, Chenguang Wang, Junyuan Xie

Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks

Kuan Fang, Alexander Toshev, Li Fei-fei, Silvio Savarese

FlowNet3D: Learning Scene Flow in 3D Point Clouds

Xingyu Liu, Charles R. Qi, Leonidas J. Guibas

On Implicit Filter Level Sparsity in Convolutional Neural Networks

Dushyant Mehta, Kwang In Kim, Christian Theobalt

Selective Kernel Networks

Xiang Li, Wenhai Wang, Xiaolin Hu, Jian Yang

Feature Denoising for Improving Adversarial Robustness

Cihang Xie, Yuxin Wu, Laurens van der Maaten, Alan L. Yuille, Kaiming He

Attending to Discriminative Certainty for Domain Adaptation

Vinod Kumar Kurmi, Shanu Kumar, Vinay P. Namboodiri

Latent Space Autoregression for Novelty Detection

Davide Abati, Angelo Porrello, SIMONE CALDERARA, Rita Cucchiara

Divide and Conquer the Embedding Space for Metric Learning

Artsiom Sanakoyeu, Vadim Tschernezki, Uta Buchler, Bjorn Ommer

Learning to Generate Synthetic Data via Compositing

Shashank Tripathi, Siddhartha Chandra, Amit Agrawal, Ambrish Tyagi, James M. Rehg

Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition

Yongming Rao, Jiwen Lu, Jie Zhou

SSN: Learning Sparse Switchable Normalization via SparsestMax

Wenqi Shao, Tianjian Meng, Jingyu Li, Ruimao Zhang, Yudian Li

Graph-Based Global Reasoning Networks

Yunpeng Chen, Marcus Rohrbach, Zhicheng Yan, Yan Shuicheng, Jiashi Feng

Deep RNN Framework for Visual Sequential Applications

Bo Pang, Kaiwen Zha, Hanwen Cao, Chen Shi, Cewu Lu

Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation

Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian Reid

Meta-Transfer Learning for Few-Shot Learning

Qianru Sun, Yaoyao Liu, Tat-Seng Chua, Bernt Schiele

Perceive Where to Focus: Learning Visibility-Aware Part-Level Features for Partial Person Re-Identification

Yifan Sun, Qin Xu, Yali Li, Chi Zhang, Yikang LI

TopNet: Structural Point Cloud Decoder

Lyne P. Tchapmi, Vineet Kosaraju, Hamid Rezatofighi, Ian Reid, Silvio Savarese

Large Scale Incremental Learning

Yue Wu, Yinpeng Chen, Lijuan Wang, Yuancheng Ye, Zicheng Liu

Parsing R-CNN for Instance-Level Human Analysis

Lu Yang, Qing Song, Zhihui Wang, Ming Jiang

Efficient Video Classification Using Fewer Frames

Shweta Bhardwaj, Mukundhan Srinivasan, Mitesh M. Khapra

Gaussian Temporal Awareness Networks for Action Localization

Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo

Language-Driven Temporal Activity Localization: A Semantic Matching Reinforcement Learning Model

Weining Wang, Yan Huang, Liang Wang

2.5D Visual Sound

Ruohan Gao, Kristen Grauman

MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation

Shuangjie Xu, Daizong Liu, Linchao Bao, Wei Liu, Pan Zhou

What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment

Paritosh Parmar, Brendan Tran Morris

Which Way Are You Going? Imitative Decision Learning for Path Forecasting in Dynamic Scenes

Yuke Li

Long-Term Feature Banks for Detailed Video Understanding

Chao-Yuan Wu, Christoph Feichtenhofer, haoqi fan, Kaiming He, Philipp Krähenbühl

Relational Action Forecasting

Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy

STEP: Spatio-Temporal Progressive Learning for Video Action Detection

Xitong Yang, Xiaodong Yang, Ming-Yu Liu, Fanyi Xiao, Larry S. Davis

Timeception for Complex Action Recognition

Noureldien Hussein, Efstratios Gavves, Arnold W.M. Smeulders

Video Action Transformer Network

Rohit Girdhar, Joao Carreira, Carl Doersch, Andrew Zisserman

Deep Reinforcement Learning of Volume-Guided Progressive View Inpainting for 3D Point Scene Completion From a Single Depth Image

Xiaoguang Han, Zhaoxuan Zhang, Dong Du, Mingdai Yang, Jingming Yu

Coordinate-Free Carlsson-Weinshall Duality and Relative Multi-View Geometry

Matthew Trager, Martial Hebert, Jean Ponce

NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences

Chen Zhao, Zhiguo Cao, Chi Li, Xin Li, Jiaqi Yang

LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation

Sunok Kim, Seungryong Kim, Dongbo Min, Kwanghoon Sohn

Real-Time Self-Adaptive Deep Stereo

Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano

GA-Net: Guided Aggregation Net for End-To-End Stereo Matching

FEIHU ZHANG, Victor Prisacariu, Ruigang Yang, Philip H.S. Torr

Pushing the Boundaries of View Extrapolation With Multiplane Images

Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng

DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation

Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, Steven Lovegrove

Strand-Accurate Multi-View Hair Capture

Giljoo Nam, Chenglei Wu, Min H. Kim, Yaser Sheikh

Revealing Scenes by Inverting Structure From Motion Reconstructions

Francesco Pittaluga, Sanjeev J. Koppal, Sing Bing Kang, Sudipta N. Sinha

BAD SLAM: Bundle Adjusted Direct RGB-D SLAM

Thomas Schops, Torsten Sattler, Marc Pollefeys

SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences

Huu M. Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung

AutoAugment: Learning Augmentation Strategies From Data

Ekin D. Cubuk, Barret Zoph, Dandelion Mane, Vijay Vasudevan, Quoc V. Le

Striking the Right Balance With Uncertainty

Salman Khan, Munawar Hayat, Syed Waqas Zamir, Jianbing Shen, Ling Shao

Learning Loss for Active Learning

Donggeun Yoo, In So Kweon

Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation

Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua

Hardness-Aware Deep Metric Learning

Wenzhao Zheng, Zhaodong Chen, Jiwen Lu, Jie Zhou

Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization

Siyuan Qiao, Zhe Lin, Jianming Zhang, Alan L. Yuille

On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions

Yusuke Tsuzuku, Issei Sato

Why ReLU Networks Yield High-Confidence Predictions Far Away From the Training Data and How to Mitigate the Problem

Matthias Hein, Maksym Andriushchenko, Julian Bitterwolf

Kervolutional Neural Networks

Chen Wang, Jianfei Yang, Lihua Xie, Junsong Yuan

Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning

Spyros Gidaris, Nikos Komodakis

Edge-Labeling Graph Neural Network for Few-Shot Learning

Jongmin Kim, Taesup Kim, Sungwoong Kim, Chang D. Yoo

Finding Task-Relevant Features for Few-Shot Learning by Category Traversal

Hongyang Li, David Eigen, Samuel Dodge, Matthew Zeiler, Xiaogang Wang