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CVPR 2019

1,294 papers

On Learning Density Aware Embeddings

Soumyadeep Ghosh, Richa Singh, Mayank Vatsa

Instance-Level Meta Normalization

Songhao Jia, Ding-Jie Chen, Hwann-Tzong Chen

Blind Geometric Distortion Correction on Images Through Deep Learning

Xiaoyu Li, Bo Zhang, Pedro V. Sander, Jing Liao

Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects

Michael A. Alcorn, Qi Li, Zhitao Gong, Chengfei Wang, Long Mai

HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs

Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri

Detection Based Defense Against Adversarial Examples From the Steganalysis Point of View

Jiayang Liu, Weiming Zhang, Yiwei Zhang, Dongdong Hou, Yujia Liu

Signal-To-Noise Ratio: A Robust Distance Metric for Deep Metric Learning

Tongtong Yuan, Weihong Deng, Jian Tang, Yinan Tang, Binghui Chen

SpotTune: Transfer Learning Through Adaptive Fine-Tuning

Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing

Co-Occurrence Neural Network

Irina Shevlev, Shai Avidan

RENAS: Reinforced Evolutionary Neural Architecture Search

Yukang Chen, GAOFENG MENG, Qian Zhang, SHIMING XIANG, Chang Huang

Adversarial Defense Through Network Profiling Based Path Extraction

Yuxian Qiu, Jingwen Leng, Cong Guo, Quan Chen, CHAO LI

Handwriting Recognition in Low-Resource Scripts Using Adversarial Learning

Ayan Kumar Bhunia, Abhirup Das, Ankan Kumar Bhunia, Perla Sai Raj Kishore, Partha Pratim Roy

What Does It Mean to Learn in Deep Networks? And, How Does One Detect Adversarial Attacks?

Ciprian A. Corneanu, Meysam Madadi, Sergio Escalera, Aleix M. Martinez

Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks

Hao Cheng, Dongze Lian, Bowen Deng, Shenghua Gao, Tao Tan

Soft Labels for Ordinal Regression

Raul Diaz, Amit Marathe

Sensitive-Sample Fingerprinting of Deep Neural Networks

Zecheng He, Tianwei Zhang, Ruby Lee

Reversible GANs for Memory-Efficient Image-To-Image Translation

Tycho F.A. van der Ouderaa, Daniel E. Worrall

Gait Recognition via Disentangled Representation Learning

Ziyuan Zhang, LUAN TRAN, Xi Yin, Yousef Atoum, Xiaoming Liu

Learning Joint Gait Representation via Quintuplet Loss Minimization

Kaihao Zhang, Wenhan Luo, Lin Ma, Wei Liu, Hongdong Li

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

Jiankang Deng, Jia Guo, Niannan Xue, Stefanos Zafeiriou

Deep Tree Learning for Zero-Shot Face Anti-Spoofing

Yaojie Liu, Joel Stehouwer, Amin Jourabloo, Xiaoming Liu

Visual Tracking via Adaptive Spatially-Regularized Correlation Filters

Kenan Dai, Dong Wang, Huchuan Lu, Chong Sun, Jianhua Li

ATOM: Accurate Tracking by Overlap Maximization

Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg

Graph Convolutional Tracking

Junyu Gao, Tianzhu Zhang, Changsheng Xu

GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching

Simone Melzi, Riccardo Spezialetti, Federico Tombari, Michael M. Bronstein, Luigi Di Stefano

Diverse Generation for Multi-Agent Sports Games

Raymond A. Yeh, Alexander G. Schwing, Jonathan Huang, Kevin Murphy

Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking

Jae Shin Yoon, Takaaki Shiratori, Shoou-I Yu, Hyun Soo Park

Taking a Deeper Look at the Inverse Compositional Algorithm

Zhaoyang Lv, Frank Dellaert, James M. Rehg, Andreas Geiger

SelFlow: Self-Supervised Learning of Optical Flow

Pengpeng Liu, Michael Lyu, Irwin King, Jia Xu

PVNet: Pixel-Wise Voting Network for 6DoF Pose Estimation

Sida Peng, Yuan Liu, Qixing Huang, Xiaowei Zhou, Hujun Bao

Learning Structure-And-Motion-Aware Rolling Shutter Correction

Bingbing Zhuang, Quoc-Huy Tran, Pan Ji, Loong-Fah Cheong, Manmohan Chandraker

Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion

Zhenpei Yang, Jeffrey Z. Pan, Linjie Luo, Xiaowei Zhou, Kristen Grauman

Learning the Depths of Moving People by Watching Frozen People

Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely

Convolutional Mesh Regression for Single-Image Human Shape Reconstruction

Nikos Kolotouros, Georgios Pavlakos, Kostas Daniilidis

SiCloPe: Silhouette-Based Clothed People

Ryota Natsume, Shunsuke Saito, Zeng Huang, Weikai Chen, Chongyang Ma

Occupancy Networks: Learning 3D Reconstruction in Function Space

Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, Andreas Geiger

PlaneRCNN: 3D Plane Detection and Reconstruction From a Single Image

Chen Liu, Kihwan Kim, Jinwei Gu, Yasutaka Furukawa, Jan Kautz

TextureNet: Consistent Local Parametrizations for Learning From High-Resolution Signals on Meshes

Jingwei Huang, Haotian Zhang, Li Yi, Thomas Funkhouser, Matthias Niessner

3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans

Ji Hou, Angela Dai, Matthias Niessner

Parallel Optimal Transport GAN

Gil Avraham, Yan Zuo, Tom Drummond

Balanced Self-Paced Learning for Generative Adversarial Clustering Network

Kamran Ghasedi, Xiaoqian Wang, Cheng Deng, Heng Huang

Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach

Minyoung Kim, Pritish Sahu, Behnam Gholami, Vladimir Pavlovic

Unsupervised Learning of Dense Shape Correspondence

Oshri Halimi, Or Litany, Emanuele Rodolà, Alex M. Bronstein, Ron Kimmel

Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss

Sangil Jung, Changyong Son, Seohyung Lee, Jinwoo Son, Jae-Joon Han

Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses

Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin

Adversarial Attacks Beyond the Image Space

xiaohui zeng, Chenxi Liu, Yu-Siang Wang, Weichao Qiu, Lingxi Xie

SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks

Bo Li, Wei Wu, Qiang Wang, Fangyi Zhang, Junliang Xing

Learning Video Representations From Correspondence Proposals

Xingyu Liu, Joon-Young Lee, Hailin Jin

Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence

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

Pay Attention! - Robustifying a Deep Visuomotor Policy Through Task-Focused Visual Attention

Pooya Abolghasemi, Amir Mazaheri, Mubarak Shah, Ladislau Boloni

Learning to Film From Professional Human Motion Videos

Chong Huang, Chuan-En Lin, Zhenyu Yang, Yan Kong, Peng Chen

Learning Shape-Aware Embedding for Scene Text Detection

Zhuotao Tian, Michelle Shu, Pengyuan Lyu, Ruiyu Li, Chao Zhou

Networks for Joint Affine and Non-Parametric Image Registration

Zhengyang Shen, Xu Han, Zhenlin Xu, Marc Niethammer

CRAVES: Controlling Robotic Arm With a Vision-Based Economic System

Yiming Zuo, Weichao Qiu, Lingxi Xie, Fangwei Zhong, Yizhou Wang

MSCap: Multi-Style Image Captioning With Unpaired Stylized Text

Longteng Guo, Jing Liu, Peng Yao, Jiangwei Li, Hanqing Lu

CLEVR-Ref+: Diagnosing Visual Reasoning With Referring Expressions

Runtao Liu, Chenxi Liu, Yutong Bai, Alan L. Yuille

Neural Sequential Phrase Grounding (SeqGROUND)

Pelin Dogan, Leonid Sigal, Markus Gross

What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions

Ehsan Abbasnejad, Qi Wu, Qinfeng Shi, Anton van den Hengel

Unsupervised Image Captioning

Yang Feng, Lin Ma, Wei Liu, Jiebo Luo

Scene Categorization From Contours: Medial Axis Based Salience Measures

Morteza Rezanejad, Gabriel Downs, John Wilder, Dirk B. Walther, Allan Jepson

Pattern-Affinitive Propagation Across Depth, Surface Normal and Semantic Segmentation

Zhenyu Zhang, Zhen Cui, Chunyan Xu, Yan Yan, Nicu Sebe

Associatively Segmenting Instances and Semantics in Point Clouds

Xinlong Wang, Shu Liu, Xiaoyong Shen, Chunhua Shen, Jiaya Jia

Did It Change? Learning to Detect Point-Of-Interest Changes for Proactive Map Updates

Jerome Revaud, Minhyeok Heo, Rafael S. Rezende, Chanmi You, Seong-Gyun Jeong

Deep Asymmetric Metric Learning via Rich Relationship Mining

Xinyi Xu, Yanhua Yang, Cheng Deng, Feng Zheng

Deep Spectral Clustering Using Dual Autoencoder Network

Xu Yang, Cheng Deng, Feng Zheng, Junchi Yan, Wei Liu

Adversarial Structure Matching for Structured Prediction Tasks

jyh-Jing Hwang, Tsung-Wei Ke, Jianbo Shi, Stella X. Yu

Context-Reinforced Semantic Segmentation

Yizhou Zhou, Xiaoyan Sun, Zheng-Jun Zha, Wenjun Zeng

Residual Regression With Semantic Prior for Crowd Counting

Jia Wan, Wenhan Luo, Baoyuan Wu, Antoni B. Chan, Wei Liu

Emotion-Aware Human Attention Prediction

Macario O. Cordel II, Shaojing Fan, Zhiqi Shen, Mohan S. Kankanhalli

Classification-Reconstruction Learning for Open-Set Recognition

Ryota Yoshihashi, Wen Shao, Rei Kawakami, Shaodi You, Makoto Iida

Part-Regularized Near-Duplicate Vehicle Re-Identification

Bing He, Jia Li, Yifan Zhao, Yonghong Tian

On the Intrinsic Dimensionality of Image Representations

Sixue Gong, Vishnu Naresh Boddeti, Anil K. Jain

Compressing Convolutional Neural Networks via Factorized Convolutional Filters

Tuanhui Li, Baoyuan Wu, Yujiu Yang, Yanbo Fan, Yong Zhang

Relational Knowledge Distillation

Wonpyo Park, Dongju Kim, Yan Lu, Minsu Cho

Attentive Relational Networks for Mapping Images to Scene Graphs

Mengshi Qi, Weijian Li, Zhengyuan Yang, Yunhong Wang, Jiebo Luo

GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud

Li Yi, Wang Zhao, He Wang, Minhyuk Sung, Leonidas J. Guibas

Progressive Image Deraining Networks: A Better and Simpler Baseline

Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, Deyu Meng

Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection

Jia-Xing Zhao, Yang Cao, Deng-Ping Fan, Ming-Ming Cheng, Xuan-Yi Li

A Simple Pooling-Based Design for Real-Time Salient Object Detection

Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, Jianmin Jiang