CVPR 2019

1,294 papers

Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss

Lele Chen, Ross K. Maddox, Zhiyao Duan, Chenliang Xu

T-Net: Parametrizing Fully Convolutional Nets With a Single High-Order Tensor

Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos, Maja Pantic

Unequal-Training for Deep Face Recognition With Long-Tailed Noisy Data

Yaoyao Zhong, Weihong Deng, Mei Wang, Jiani Hu, Jianteng Peng

Face-Focused Cross-Stream Network for Deception Detection in Videos

Mingyu Ding, An Zhao, Zhiwu Lu, Tao Xiang, Ji-Rong Wen

Fast and Robust Multi-Person 3D Pose Estimation From Multiple Views

Junting Dong, Wen Jiang, Qixing Huang, Hujun Bao, Xiaowei Zhou

RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation

Bastian Wandt, Bodo Rosenhahn

PoseFix: Model-Agnostic General Human Pose Refinement Network

Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee

Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision

Soubhik Sanyal, Timo Bolkart, Haiwen Feng, Michael J. Black

3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training

Dario Pavllo, Christoph Feichtenhofer, David Grangier, Michael Auli

Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation

Yunyang Xiong, Hyunwoo J. Kim, Vikas Singh

Bayesian Hierarchical Dynamic Model for Human Action Recognition

Rui Zhao, Wanru Xu, Hui Su, Qiang Ji

FA-RPN: Floating Region Proposals for Face Detection

Mahyar Najibi, Bharat Singh, Larry S. Davis

Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition

Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu

Neural Scene Decomposition for Multi-Person Motion Capture

Helge Rhodin, Victor Constantin, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua

RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion

Jie Li, Yu Liu, Dong Gong, Qinfeng Shi, Xia Yuan

Single Image Depth Estimation Trained via Depth From Defocus Cues

Shir Gur, Lior Wolf

3D Motion Decomposition for RGBD Future Dynamic Scene Synthesis

Xiaojuan Qi, Zhengzhe LIU, Qifeng Chen, Jiaya Jia

MMFace: A Multi-Metric Regression Network for Unconstrained Face Reconstruction

Hongwei Yi, Chen Li, Qiong Cao, Xiaoyong Shen, Sheng Li

Hybrid Scene Compression for Visual Localization

Federico Camposeco, Andrea Cohen, Marc Pollefeys, Torsten Sattler

Stereo R-CNN Based 3D Object Detection for Autonomous Driving

Peiliang Li, Xiaozhi Chen, Shaojie Shen

Learning Non-Volumetric Depth Fusion Using Successive Reprojections

Simon Donné, Andreas Geiger

Connecting the Dots: Learning Representations for Active Monocular Depth Estimation

Gernot Riegler, Yiyi Liao, Simon Donné, Vladlen Koltun, Andreas Geiger

Triangulation Learning Network: From Monocular to Stereo 3D Object Detection

Zengyi Qin, Jinglu Wang, Yan Lu

What Object Should I Use? - Task Driven Object Detection

Johann Sawatzky, Yaser Souri, Christian Grund, Jürgen Gall

Rethinking the Evaluation of Video Summaries

Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkila

Depth From a Polarisation + RGB Stereo Pair

Dizhong Zhu, William A. P. Smith

Reflective and Fluorescent Separation Under Narrow-Band Illumination

Koji Koyamatsu, Daichi Hidaka, Takahiro Okabe, Hendrik P. A. Lensch

Learning to Minify Photometric Stereo

Junxuan Li, Antonio Robles-Kelly, Shaodi You, Yasuyuki Matsushita

Audio Visual Scene-Aware Dialog

Huda Alamri, Vincent Cartillier, Abhishek Das, Jue Wang, Anoop Cherian

Joint Manifold Diffusion for Combining Predictions on Decoupled Observations

Kwang In Kim, Hyung Jin Chang

Speech2Face: Learning the Face Behind a Voice

Tae-Hyun Oh, Tali Dekel, Changil Kim, Inbar Mosseri, William T. Freeman

Isospectralization, or How to Hear Shape, Style, and Correspondence

Luca Cosmo, Mikhail Panine, Arianna Rampini, Maks Ovsjanikov, Michael M. Bronstein

Adaptive Pyramid Context Network for Semantic Segmentation

Junjun He, Zhongying Deng, Lei Zhou, Yali Wang, Yu Qiao

Leveraging Crowdsourced GPS Data for Road Extraction From Aerial Imagery

Tao Sun, Zonglin Di, Pengyu Che, Chun Liu, Yin Wang

Object Instance Annotation With Deep Extreme Level Set Evolution

Zian Wang, David Acuna, huan ling, Amlan Kar, Sanja Fidler

ZigZagNet: Fusing Top-Down and Bottom-Up Context for Object Segmentation

Di Lin, Dingguo Shen, Siting Shen, Yuanfeng Ji, Dani Lischinski

BASNet: Boundary-Aware Salient Object Detection

Xuebin Qin, Zichen Zhang, Chenyang Huang, Chao Gao, Masood Dehghan

A Late Fusion CNN for Digital Matting

Yunke Zhang, Lixue Gong, Lubin Fan, Peiran Ren, Qixing Huang

Fitting Multiple Heterogeneous Models by Multi-Class Cascaded T-Linkage

Luca Magri, Andrea Fusiello

Graphonomy: Universal Human Parsing via Graph Transfer Learning

Ke Gong, Yiming Gao, Xiaodan Liang, Xiaohui Shen, Meng Wang

Point Cloud Oversegmentation With Graph-Structured Deep Metric Learning

Loic Landrieu, Mohamed Boussaha

DARNet: Deep Active Ray Network for Building Segmentation

Dominic Cheng, Renjie Liao, Sanja Fidler, Raquel Urtasun

A-CNN: Annularly Convolutional Neural Networks on Point Clouds

Artem Komarichev, Zichun Zhong, Jing Hua

Exploring the Bounds of the Utility of Context for Object Detection

Ehud Barnea, Ohad Ben-Shahar

Leveraging the Invariant Side of Generative Zero-Shot Learning

Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, LEI ZHU

Triply Supervised Decoder Networks for Joint Detection and Segmentation

Jiale Cao, Yanwei Pang, Xuelong Li

Mapping, Localization and Path Planning for Image-Based Navigation Using Visual Features and Map

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

MetaCleaner: Learning to Hallucinate Clean Representations for Noisy-Labeled Visual Recognition

Weihe Zhang, Yali Wang, Yu Qiao

Grid R-CNN

Xin Lu, Buyu Li, Yuxin Yue, Quanquan Li, Junjie Yan

Domain-Specific Batch Normalization for Unsupervised Domain Adaptation

Woong-Gi Chang, Tackgeun You, Seonguk Seo, Suha Kwak, Bohyung Han

Multi-Task Multi-Sensor Fusion for 3D Object Detection

Ming Liang, Bin Yang, Yun Chen, Rui Hu, Raquel Urtasun

Efficient Featurized Image Pyramid Network for Single Shot Detector

Yanwei Pang, Tiancai Wang, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao

Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks

N. Dinesh Reddy, Minh Vo, Srinivasa G. Narasimhan

RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices

Chong Peng, Chenglizhao Chen, Zhao Kang, Jianbo Li, Qiang Cheng

Quantization Networks

Jiwei Yang, Xu Shen, Jun Xing, Xinmei Tian, Houqiang Li

Ensemble Deep Manifold Similarity Learning Using Hard Proxies

Nicolas Aziere, Sinisa Todorovic

Towards Universal Object Detection by Domain Attention

Xudong Wang, Zhaowei Cai, Dashan Gao, Nuno Vasconcelos

Revisiting Perspective Information for Efficient Crowd Counting

Miaojing Shi, Zhaohui Yang, Chao Xu, Qijun Chen

Towards Robust Curve Text Detection With Conditional Spatial Expansion

Zichuan Liu, Guosheng Lin, Sheng Yang, Fayao Liu, Weisi Lin

Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning

Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao

Stochastic Class-Based Hard Example Mining for Deep Metric Learning

Yumin Suh, Bohyung Han, Wonsik Kim, Kyoung Mu Lee

All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification

Weijie Chen, Di Xie, yuan zhang, Shiliang Pu

Pedestrian Detection With Autoregressive Network Phases

Garrick Brazil, Xiaoming Liu

Moving Object Detection Under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition

Moein Shakeri, Hong Zhang

Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy

Aoxue Li, Tiange Luo, Zhiwu Lu, Tao Xiang, Liwei Wang

Adaptive Transfer Network for Cross-Domain Person Re-Identification

Jiawei Liu, Zheng-Jun Zha, Di Chen, Richang Hong, Meng Wang

Compact Feature Learning for Multi-Domain Image Classification

Yajing Liu, Xinmei Tian, Ya Li, Zhiwei Xiong, Feng Wu

VRSTC: Occlusion-Free Video Person Re-Identification

Ruibing Hou, Bingpeng MA, Hong Chang, Xinqian Gu, Shiguang Shan

Few-Shot Adaptive Faster R-CNN

Tao Wang, XIAOPENG ZHANG, Li Yuan, Jiashi Feng

PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet

Yasuhiro Aoki, Hunter Goforth, Rangaprasad Arun Srivatsan, Simon Lucey

A Main/Subsidiary Network Framework for Simplifying Binary Neural Networks

Yinghao Xu, Xin Dong, Yudian Li, Hao Su

Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction

Osama Makansi, Eddy Ilg, Ozgun Cicek, Thomas Brox

AANet: Attribute Attention Network for Person Re-Identifications

Chiat-Pin Tay, Sharmili Roy, Kim-Hui Yap

Variational Bayesian Dropout With a Hierarchical Prior

Yuhang Liu, Wenyong Dong, Lei Zhang, Dong Gong, Qinfeng Shi

Building Detail-Sensitive Semantic Segmentation Networks With Polynomial Pooling

Zhen Wei, Jingyi Zhang, Li Liu, Fan Zhu, Fumin Shen

PPGNet: Learning Point-Pair Graph for Line Segment Detection

Ziheng Zhang, Zhengxin Li, Ning Bi, Jia Zheng, Jinlei Wang

Knowledge Distillation via Instance Relationship Graph

Yufan Liu, Jiajiong Cao, Bing Li, chunfeng yuan, Weiming Hu

Accelerating Convolutional Neural Networks via Activation Map Compression

Georgios Georgiadis

IGE-Net: Inverse Graphics Energy Networks for Human Pose Estimation and Single-View Reconstruction

Dominic Jack, Frederic Maire, Sareh Shirazi, Anders Eriksson

Feature Space Perturbations Yield More Transferable Adversarial Examples

Nathan Inkawhich, Wei Wen, Hai (Helen) Li, Yiran Chen

Semantically Aligned Bias Reducing Zero Shot Learning

Akanksha Paul, Narayanan C. Krishnan, Prateek Munjal

OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks

Jiashi Li, Qi Qi, Jingyu Wang, Ce Ge, Yujian Li

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection

Golnaz Ghiasi, Tsung-Yi Lin, Quoc V. Le

Attention-Guided Unified Network for Panoptic Segmentation

Yanwei Li, Xinze Chen, Zheng Zhu, Lingxi Xie, Guan Huang

Probabilistic End-To-End Noise Correction for Learning With Noisy Labels

Kun Yi, Jianxin Wu

Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration

Xing Liu, Masanori Suganuma, Zhun Sun, Takayuki Okatani

Deeply-Supervised Knowledge Synergy

Dawei Sun, Anbang Yao, Aojun Zhou, Hao Zhao

ShieldNets: Defending Against Adversarial Attacks Using Probabilistic Adversarial Robustness

Rajkumar Theagarajan, Ming Chen, Bir Bhanu, Jing Zhang

Disentangling Adversarial Robustness and Generalization

David Stutz, Matthias Hein, Bernt Schiele

MFAS: Multimodal Fusion Architecture Search

Juan-Manuel Perez-Rua, Valentin Vielzeuf, Stephane Pateux, Moez Baccouche, Frederic Jurie

Strong-Weak Distribution Alignment for Adaptive Object Detection

Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko

Enhanced Bayesian Compression via Deep Reinforcement Learning

Xin Yuan, Liangliang Ren, Jiwen Lu, Jie Zhou

Bidirectional Learning for Domain Adaptation of Semantic Segmentation

Yunsheng Li, Lu Yuan, Nuno Vasconcelos

Deep Sky Modeling for Single Image Outdoor Lighting Estimation

Yannick Hold-Geoffroy, Akshaya Athawale, Jean-Francois Lalonde

Neural Illumination: Lighting Prediction for Indoor Environments

Shuran Song, Thomas Funkhouser

Fast Spatially-Varying Indoor Lighting Estimation

Mathieu Garon, Kalyan Sunkavalli, Sunil Hadap, Nathan Carr, Jean-Francois Lalonde

MeshAdv: Adversarial Meshes for Visual Recognition

Chaowei Xiao, Dawei Yang, Bo Li, Jia Deng, mingyan liu

GeoNet: Deep Geodesic Networks for Point Cloud Analysis

Tong He, Haibin Huang, Li Yi, Yuqian Zhou, Chihao Wu

Neural Rerendering in the Wild

Moustafa Meshry, Dan B. Goldman, Sameh Khamis, Hugues Hoppe, Rohit Pandey

Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising

Wei He, Quanming Yao, CHAO LI, Naoto Yokoya, Qibin Zhao