CVPR 2019

1,294 papers

Atlas of Digital Pathology: A Generalized Hierarchical Histological Tissue Type-Annotated Database for Deep Learning

Mahdi S. Hosseini, Lyndon Chan, Gabriel Tse, Michael Tang, Jun Deng

Direct Object Recognition Without Line-Of-Sight Using Optical Coherence

Xin Lei, Liangyu He, Yixuan Tan, Ken Xingze Wang, Xinggang Wang

Progressive Ensemble Networks for Zero-Shot Recognition

Meng Ye, Yuhong Guo

Task Agnostic Meta-Learning for Few-Shot Learning

Muhammad Abdullah Jamal, Guo-Jun Qi

A Poisson-Gaussian Denoising Dataset With Real Fluorescence Microscopy Images

Yide Zhang, Yinhao Zhu, Evan Nichols, Qingfei Wang, Siyuan Zhang

Large-Scale Interactive Object Segmentation With Human Annotators

Rodrigo Benenson, Stefan Popov, Vittorio Ferrari

Deep Spherical Quantization for Image Search

Sepehr Eghbali, Ladan Tahvildari

PMS-Net: Robust Haze Removal Based on Patch Map for Single Images

Wei-Ting Chen, Jian-Jiun Ding, Sy-Yen Kuo

Adaptive Confidence Smoothing for Generalized Zero-Shot Learning

Yuval Atzmon, Gal Chechik

Hyperspectral Image Super-Resolution With Optimized RGB Guidance

Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang

Local Features and Visual Words Emerge in Activations

Oriane Siméoni, Yannis Avrithis, Ondřej Chum

Customizable Architecture Search for Semantic Segmentation

Yiheng Zhang, Zhaofan Qiu, Jingen Liu, Ting Yao, Dong Liu

Learning Active Contour Models for Medical Image Segmentation

Xu Chen, Bryan M. Williams, Srinivasa R. Vallabhaneni, Gabriela Czanner, Rachel Williams

Interactive Full Image Segmentation by Considering All Regions Jointly

Eirikur Agustsson, Jasper R. R. Uijlings, Vittorio Ferrari

Greedy Structure Learning of Hierarchical Compositional Models

Adam Kortylewski, Aleksander Wieczorek, Mario Wieser, Clemens Blumer, Sonali Parbhoo

Content-Aware Multi-Level Guidance for Interactive Instance Segmentation

Soumajit Majumder, Angela Yao

Weakly Supervised Video Moment Retrieval From Text Queries

Niluthpol Chowdhury Mithun, Sujoy Paul, Amit K. Roy-Chowdhury

FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Network

Jonah Philion

Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images

Hao Wang, Doyen Sahoo, Chenghao Liu, Ee-Peng Lim, Steven C. H. Hoi

Retrieval-Augmented Convolutional Neural Networks Against Adversarial Examples

Jake Zhao (Junbo), Kyunghyun Cho

QATM: Quality-Aware Template Matching for Deep Learning

Jiaxin Cheng, Yue Wu, Wael AbdAlmageed, Premkumar Natarajan

Deep Transfer Learning for Multiple Class Novelty Detection

Pramuditha Perera, Vishal M. Patel

Graphical Contrastive Losses for Scene Graph Parsing

Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro

Data-Driven Neuron Allocation for Scale Aggregation Networks

Yi Li, Zhanghui Kuang, Yimin Chen, Wayne Zhang

Weakly Supervised Image Classification Through Noise Regularization

Mengying Hu, Hu Han, Shiguang Shan, Xilin Chen

Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection

Philippe Burlina, Neil Joshi, I-Jeng Wang

Learning to Learn Image Classifiers With Visual Analogy

Linjun Zhou, Peng Cui, Shiqiang Yang, Wenwu Zhu, Qi Tian

Rethinking Knowledge Graph Propagation for Zero-Shot Learning

Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang, Hao Wang, Yujia Zhang

R2GAN: Cross-Modal Recipe Retrieval With Generative Adversarial Network

Bin Zhu, Chong-Wah Ngo, Jingjing Chen, Yanbin Hao

Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot Learning

Bin Tong, Chao Wang, Martin Klinkigt, Yoshiyuki Kobayashi, Yuuichi Nonaka

Exploring Object Relation in Mean Teacher for Cross-Domain Detection

Qi Cai, Yingwei Pan, Chong-Wah Ngo, Xinmei Tian, Lingyu Duan

Adversarial Defense by Stratified Convolutional Sparse Coding

Bo Sun, Nian-Hsuan Tsai, Fangchen Liu, Ronald Yu, Hao Su

Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation

Zhezhi He, Deliang Fan

Additive Adversarial Learning for Unbiased Authentication

Jian Liang, Yuren Cao, Chenbin Zhang, Shiyu Chang, Kun Bai

Robustness Verification of Classification Deep Neural Networks via Linear Programming

Wang Lin, Zhengfeng Yang, Xin Chen, Qingye Zhao, Xiangkun Li

Regularizing Activation Distribution for Training Binarized Deep Networks

Ruizhou Ding, Ting-Wu Chin, Zeye Liu, Diana Marculescu

ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation

Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Hongxu Yin, Fei Sun

Sim-Real Joint Reinforcement Transfer for 3D Indoor Navigation

Fengda Zhu, Linchao Zhu, Yi Yang

End-To-End Efficient Representation Learning via Cascading Combinatorial Optimization

Yeonwoo Jeong, Yoonsung Kim, Hyun Oh Song

Model-Blind Video Denoising via Frame-To-Frame Training

Thibaud Ehret, Axel Davy, Jean-Michel Morel, Gabriele Facciolo, Pablo Arias

PEPSI : Fast Image Inpainting With Parallel Decoding Network

Min-Cheol Sagong, Yong-goo Shin, Seung-wook Kim, Seung Park, Sung-jea Ko

Trust Region Based Adversarial Attack on Neural Networks

Zhewei Yao, Amir Gholami, Peng Xu, Kurt Keutzer, Michael W. Mahoney

A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations

Saeid Asgari Taghanaki, Kumar Abhishek, Shekoofeh Azizi, Ghassan Hamarneh

AIRD: Adversarial Learning Framework for Image Repurposing Detection

Ayush Jaiswal, Yue Wu, Wael AbdAlmageed, Iacopo Masi, Premkumar Natarajan

Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning

Oleksiy Ostapenko, Mihai Puscas, Tassilo Klein, Patrick Jähnichen, Moin Nabi

Semi-Supervised Learning With Graph Learning-Convolutional Networks

Bo Jiang, Ziyan Zhang, Doudou Lin, Jin Tang, Bin Luo

Building Efficient Deep Neural Networks With Unitary Group Convolutions

Ritchie Zhao, Yuwei Hu, Jordan Dotzel, Christopher De Sa, Zhiru Zhang

Characterizing and Avoiding Negative Transfer

Zirui Wang, Zihang Dai, Barnabás Póczos, Jaime Carbonell

Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks

Seungjoo Yoo, Hyojin Bahng, Sunghyo Chung, Junsoo Lee, Jaehyuk Chang

Detecting Overfitting of Deep Generative Networks via Latent Recovery

Ryan Webster, Julien Rabin, Loic Simon, Frederic Jurie

Importance Estimation for Neural Network Pruning

Pavlo Molchanov, Arun Mallya, Stephen Tyree, iuri frosio, Jan Kautz

Task-Free Continual Learning

Rahaf Aljundi, Klaas Kelchtermans, Tinne Tuytelaars

Learning From Noisy Labels by Regularized Estimation of Annotator Confusion

Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan, Daniel C. Alexander, Nathan Silberman

Rob-GAN: Generator, Discriminator, and Adversarial Attacker

Xuanqing Liu, Cho-jui Hsieh

Defending Against Adversarial Attacks by Randomized Diversification

Olga Taran, Shideh Rezaeifar, Taras Holotyak, Slava Voloshynovskiy

SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization

Shijie Cao, Lingxiao Ma, Wencong Xiao, Chen Zhang, Yunxin Liu

ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model

Haichuan Yang, Yuhao Zhu, Ji Liu

Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset

Martin Mundt, Sagnik Majumder, Sreenivas Murali, Panagiotis Panetsos, Visvanathan Ramesh

An End-To-End Network for Generating Social Relationship Graphs

Arushi Goel, Keng Teck Ma, Cheston Tan

Single-Frame Regularization for Temporally Stable CNNs

Gabriel Eilertsen, Rafal K. Mantiuk, Jonas Unger

Pixel-Adaptive Convolutional Neural Networks

Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik Learned-Miller

A Convex Relaxation for Multi-Graph Matching

Paul Swoboda, Dagmar Kainm, Ashkan Mokarian, Christian Theobalt, Florian Bernard

MAP Inference via Block-Coordinate Frank-Wolfe Algorithm

Paul Swoboda, Vladimir Kolmogorov

Guaranteed Matrix Completion Under Multiple Linear Transformations

CHAO LI, Wei He, Longhao Yuan, Zhun Sun, Qibin Zhao

A Sufficient Condition for Convergences of Adam and RMSProp

Fangyu Zou, Li Shen, Zequn Jie, Weizhong Zhang, Wei Liu

Lifting Vectorial Variational Problems: A Natural Formulation Based on Geometric Measure Theory and Discrete Exterior Calculus

Thomas Möllenhoff, Daniel Cremers

Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope

Tolga Birdal, Umut Simsekli

FilterReg: Robust and Efficient Probabilistic Point-Set Registration Using Gaussian Filter and Twist Parameterization

Wei Gao, Russ Tedrake

Path-Invariant Map Networks

Zaiwei Zhang, Zhenxiao Liang, Lemeng Wu, Xiaowei Zhou, Qixing Huang

Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations

David Acuna, Amlan Kar, Sanja Fidler

Second-Order Attention Network for Single Image Super-Resolution

Tao Dai, Jianrui Cai, yongbing zhang, Shu-Tao Xia, Lei Zhang

Modulating Image Restoration With Continual Levels via Adaptive Feature Modification Layers

Jingwen He, Chao Dong, Yu Qiao

Residual Networks for Light Field Image Super-Resolution

Shuo Zhang, Youfang Lin, Hao Sheng

Unprocessing Images for Learned Raw Denoising

Tim Brooks, Ben Mildenhall, Tianfan Xue, Jiawen Chen, Dillon Sharlet

"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors

Yosef Gandelsman, Assaf Shocher, Michal Irani

SOSNet: Second Order Similarity Regularization for Local Descriptor Learning

Yurun Tian, Xin Yu, Bin Fan, Fuchao Wu, Huub Heijnen

DVC: An End-To-End Deep Video Compression Framework

Guo Lu, Wanli Ouyang, Dong Xu, Xiaoyun Zhang, Chunlei Cai

DAVANet: Stereo Deblurring With View Aggregation

Shangchen Zhou, Jiawei Zhang, Wangmeng Zuo, Haozhe Xie, Jinshan Pan

Neural RGB(r)D Sensing: Depth and Uncertainty From a Video Camera

Chao Liu, Jinwei Gu, Kihwan Kim, Srinivasa G. Narasimhan, Jan Kautz

Expressive Body Capture: 3D Hands, Face, and Body From a Single Image

Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman

Monocular Total Capture: Posing Face, Body, and Hands in the Wild

Donglai Xiang, Hanbyul Joo, Yaser Sheikh

Unsupervised Part-Based Disentangling of Object Shape and Appearance

Dominik Lorenz, Leonard Bereska, Timo Milbich, Bjorn Ommer

Boosting Local Shape Matching for Dense 3D Face Correspondence

Zhenfeng Fan, Xiyuan Hu, Chen Chen, Silong Peng

Combining 3D Morphable Models: A Large Scale Face-And-Head Model

Stylianos Ploumpis, Haoyang Wang, Nick Pears, William A. P. Smith, Stefanos Zafeiriou

Self-Supervised Representation Learning From Videos for Facial Action Unit Detection

Yong Li, Jiabei Zeng, Shiguang Shan, Xilin Chen

Slim DensePose: Thrifty Learning From Sparse Annotations and Motion Cues

Natalia Neverova, James Thewlis, Riza Alp Guler, Iasonas Kokkinos, Andrea Vedaldi

In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations

Ikhsanul Habibie, Weipeng Xu, Dushyant Mehta, Gerard Pons-Moll, Christian Theobalt

Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation

Xipeng Chen, Kwan-Yee Lin, Wentao Liu, Chen Qian, Liang Lin

HoloPose: Holistic 3D Human Reconstruction In-The-Wild

Riza Alp Guler, Iasonas Kokkinos

Towards Social Artificial Intelligence: Nonverbal Social Signal Prediction in a Triadic Interaction

Hanbyul Joo, Tomas Simon, Mina Cikara, Yaser Sheikh

CrowdPose: Efficient Crowded Scenes Pose Estimation and a New Benchmark

Jiefeng Li, Can Wang, Hao Zhu, Yihuan Mao, Hao-Shu Fang

Self-Supervised 3D Hand Pose Estimation Through Training by Fitting

Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao

3D Hand Shape and Pose From Images in the Wild

Adnane Boukhayma, Rodrigo de Bem, Philip H.S. Torr

3D Hand Shape and Pose Estimation From a Single RGB Image

Liuhao Ge, Zhou Ren, Yuncheng Li, Zehao Xue, Yingying Wang

AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations

Xiao Zhang, Rui Zhao, Yu Qiao, Xiaogang Wang, hongsheng Li

FML: Face Model Learning From Videos

Ayush Tewari, Florian Bernard, Pablo Garrido, Gaurav Bharaj, Mohamed Elgharib

High-Quality Face Capture Using Anatomical Muscles

Michael Bao, Matthew Cong, Stephane Grabli, Ronald Fedkiw

SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates

Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord

A Generative Adversarial Density Estimator

M. Ehsan Abbasnejad, Qinfeng Shi, Anton van den Hengel, Lingqiao Liu

Explainability Methods for Graph Convolutional Neural Networks

Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann