CVPR 2018

979 papers

HATS: Histograms of Averaged Time Surfaces for Robust Event-Based Object Classification

Amos Sironi, Manuele Brambilla, Nicolas Bourdis, Xavier Lagorce, Ryad Benosman

Enhancing the Spatial Resolution of Stereo Images Using a Parallax Prior

Daniel S. Jeon, Seung-Hwan Baek, Inchang Choi, Min H. Kim

Salient Object Detection Driven by Fixation Prediction

Wenguan Wang, Jianbing Shen, Xingping Dong, Ali Borji

Context-Aware Synthesis for Video Frame Interpolation

Simon Niklaus, Feng Liu

A High-Quality Denoising Dataset for Smartphone Cameras

Abdelrahman Abdelhamed, Stephen Lin, Michael S. Brown

Compassionately Conservative Balanced Cuts for Image Segmentation

Nathan D. Cahill, Tyler L. Hayes, Renee T. Meinhold, John F. Hamilton

Focus Manipulation Detection via Photometric Histogram Analysis

Can Chen, Scott McCloskey, Jingyi Yu

Deep Back-Projection Networks for Super-Resolution

Muhammad Haris, Gregory Shakhnarovich, Norimichi Ukita

Image Super-Resolution via Dual-State Recurrent Networks

Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock

Learning to Promote Saliency Detectors

Yu Zeng, Huchuan Lu, Lihe Zhang, Mengyang Feng, Ali Borji

Generating a Fusion Image: One's Identity and Another's Shape

Donggyu Joo, Doyeon Kim, Junmo Kim

Robust Physical-World Attacks on Deep Learning Visual Classification

Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati

Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs

Emanuel Laude, Jan-Hendrik Lange, Jonas Schüpfer, Csaba Domokos, Laura Leal-Taixé

Towards Human-Machine Cooperation: Self-Supervised Sample Mining for Object Detection

Keze Wang, Xiaopeng Yan, Dongyu Zhang, Lei Zhang, Liang Lin

Deep Adversarial Subspace Clustering

Pan Zhou, Yunqing Hou, Jiashi Feng

MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks

Ariel Gordon, Elad Eban, Ofir Nachum, Bo Chen, Hao Wu

Multi-Label Zero-Shot Learning With Structured Knowledge Graphs

Chung-Wei Lee, Wei Fang, Chih-Kuan Yeh, Yu-Chiang Frank Wang

Stochastic Variational Inference With Gradient Linearization

Tobias Plötz, Anne S. Wannenwetsch, Stefan Roth

Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data

Arghya Pal, Vineeth N. Balasubramanian

Improving Landmark Localization With Semi-Supervised Learning

Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher Pal

Recurrent Residual Module for Fast Inference in Videos

Bowen Pan, Wuwei Lin, Xiaolin Fang, Chaoqin Huang, Bolei Zhou

MoCoGAN: Decomposing Motion and Content for Video Generation

Sergey Tulyakov, Ming-Yu Liu, Xiaodong Yang, Jan Kautz

Global Versus Localized Generative Adversarial Nets

Guo-Jun Qi, Liheng Zhang, Hao Hu, Marzieh Edraki, Jingdong Wang

Edit Probability for Scene Text Recognition

Fan Bai, Zhanzhan Cheng, Yi Niu, Shiliang Pu, Shuigeng Zhou

Duplex Generative Adversarial Network for Unsupervised Domain Adaptation

Lanqing Hu, Meina Kan, Shiguang Shan, Xilin Chen

Scalable and Effective Deep CCA via Soft Decorrelation

Xiaobin Chang, Tao Xiang, Timothy M. Hospedales

On the Importance of Label Quality for Semantic Segmentation

Aleksandar Zlateski, Ronnachai Jaroensri, Prafull Sharma, Fredo Durand

Person Re-Identification With Cascaded Pairwise Convolutions

Yicheng Wang, Zhenzhong Chen, Feng Wu, Gang Wang

Structure Preserving Video Prediction

Jingwei Xu, Bingbing Ni, Zefan Li, Shuo Cheng, Xiaokang Yang

One-Shot Action Localization by Learning Sequence Matching Network

Hongtao Yang, Xuming He, Fatih Porikli

Excitation Backprop for RNNs

Sarah Adel Bargal, Andrea Zunino, Donghyun Kim, Jianming Zhang, Vittorio Murino

Appearance-and-Relation Networks for Video Classification

Limin Wang, Wei Li, Wen Li, Luc Van Gool

Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos

Hsien-Tzu Cheng, Chun-Hung Chao, Jin-Dong Dong, Hao-Kai Wen, Tyng-luh Liu

A Memory Network Approach for Story-Based Temporal Summarization of 360° Videos

Sangho Lee, Jinyoung Sung, Youngjae Yu, Gunhee Kim

Motion-Guided Cascaded Refinement Network for Video Object Segmentation

Ping Hu, Gang Wang, Xiangfei Kong, Jason Kuen, Yap-Peng Tan

Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition

Shuyang Sun, Zhanghui Kuang, Lu Sheng, Wanli Ouyang, Wei Zhang

Geometry-Aware Scene Text Detection With Instance Transformation Network

Fangfang Wang, Liming Zhao, Xi Li, Xinchao Wang, Dacheng Tao

DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection Under Partial Occlusion

Zhishuai Zhang, Cihang Xie, Jianyu Wang, Lingxi Xie, Alan L. Yuille

Bootstrapping the Performance of Webly Supervised Semantic Segmentation

Tong Shen, Guosheng Lin, Chunhua Shen, Ian Reid

Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features

Xiang Wang, Shaodi You, Xi Li, Huimin Ma

GroupCap: Group-Based Image Captioning With Structured Relevance and Diversity Constraints

Fuhai Chen, Rongrong Ji, Xiaoshuai Sun, Yongjian Wu, Jinsong Su

Conditional Generative Adversarial Network for Structured Domain Adaptation

Weixiang Hong, Zhenzhen Wang, Ming Yang, Junsong Yuan

Adversarial Complementary Learning for Weakly Supervised Object Localization

Xiaolin Zhang, Yunchao Wei, Jiashi Feng, Yi Yang, Thomas S. Huang

AttnGAN: Fine-Grained Text to Image Generation With Attentional Generative Adversarial Networks

Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan

MAttNet: Modular Attention Network for Referring Expression Comprehension

Licheng Yu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu

Min-Entropy Latent Model for Weakly Supervised Object Detection

Fang Wan, Pengxu Wei, Jianbin Jiao, Zhenjun Han, Qixiang Ye

HashGAN: Deep Learning to Hash With Pair Conditional Wasserstein GAN

Yue Cao, Bin Liu, Mingsheng Long, Jianmin Wang

Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning

Weifeng Ge, Sibei Yang, Yizhou Yu

Compare and Contrast: Learning Prominent Visual Differences

Steven Chen, Kristen Grauman

Clinical Skin Lesion Diagnosis Using Representations Inspired by Dermatologist Criteria

Jufeng Yang, Xiaoxiao Sun, Jie Liang, Paul L. Rosin

Multi-Scale Location-Aware Kernel Representation for Object Detection

Hao Wang, Qilong Wang, Mingqi Gao, Peihua Li, Wangmeng Zuo

Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks

Dinesh Jayaraman, Kristen Grauman

Deep Cauchy Hashing for Hamming Space Retrieval

Yue Cao, Mingsheng Long, Bin Liu, Jianmin Wang

Image Generation From Scene Graphs

Justin Johnson, Agrim Gupta, Li Fei-fei

COCO-Stuff: Thing and Stuff Classes in Context

Holger Caesar, Jasper Uijlings, Vittorio Ferrari

Learning to Compare: Relation Network for Few-Shot Learning

Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip H.S. Torr

Blazingly Fast Video Object Segmentation With Pixel-Wise Metric Learning

Yuhua Chen, Jordi Pont-Tuset, Alberto Montes, Luc Van Gool

Mask-Guided Contrastive Attention Model for Person Re-Identification

Chunfeng Song, Yan Huang, Wanli Ouyang, Liang Wang

Video Person Re-Identification With Competitive Snippet-Similarity Aggregation and Co-Attentive Snippet Embedding

Dapeng Chen, hongsheng Li, Tong Xiao, Shuai Yi, Xiaogang Wang

Recognizing Human Actions as the Evolution of Pose Estimation Maps

Mengyuan Liu, Junsong Yuan

Video Representation Learning Using Discriminative Pooling

Jue Wang, Anoop Cherian, Fatih Porikli, Stephen Gould

MoNet: Deep Motion Exploitation for Video Object Segmentation

Huaxin Xiao, Jiashi Feng, Guosheng Lin, Yu Liu, Maojun Zhang

Rethinking the Faster R-CNN Architecture for Temporal Action Localization

Yu-Wei Chao, Sudheendra Vijayanarasimhan, Bryan Seybold, David A. Ross, Jia Deng

On the Convergence of PatchMatch and Its Variants

Thibaud Ehret, Pablo Arias

Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons

Edward Kim, Darryl Hannan, Garrett Kenyon

Revisiting Knowledge Transfer for Training Object Class Detectors

Jasper Uijlings, Stefan Popov, Vittorio Ferrari

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

Yuhong Li, Xiaofan Zhang, Deming Chen

R-FCN-3000 at 30fps: Decoupling Detection and Classification

Bharat Singh, Hengduo Li, Abhishek Sharma, Larry S. Davis

Stacked Latent Attention for Multimodal Reasoning

haoqi fan, Jiatong Zhou

Human Semantic Parsing for Person Re-Identification

Mahdi M. Kalayeh, Emrah Basaran, Muhittin Gökmen, Mustafa E. Kamasak, Mubarak Shah

Learning Rich Features for Image Manipulation Detection

Peng Zhou, Xintong Han, Vlad I. Morariu, Larry S. Davis

Zero-Shot Visual Recognition Using Semantics-Preserving Adversarial Embedding Networks

Long Chen, Hanwang Zhang, Jun Xiao, Wei Liu, Shih-fu Chang

Hierarchical Novelty Detection for Visual Object Recognition

Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin

Transductive Unbiased Embedding for Zero-Shot Learning

Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, Mingli Song

Tensorize, Factorize and Regularize: Robust Visual Relationship Learning

Seong Jae Hwang, Sathya N. Ravi, Zirui Tao, Hyunwoo J. Kim, Maxwell D. Collins

A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts

Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Xi Peng, Ahmed Elgammal

Image-Image Domain Adaptation With Preserved Self-Similarity and Domain-Dissimilarity for Person Re-Identification

Weijian Deng, Liang Zheng, Qixiang Ye, Guoliang Kang, Yi Yang

Pointwise Convolutional Neural Networks

Binh-Son Hua, Minh-Khoi Tran, Sai-Kit Yeung

Learning to Act Properly: Predicting and Explaining Affordances From Images

Ching-Yao Chuang, Jiaman Li, Antonio Torralba, Sanja Fidler

Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors

Junhyug Noh, Soochan Lee, Beomsu Kim, Gunhee Kim

Recurrent Scene Parsing With Perspective Understanding in the Loop

Shu Kong, Charless C. Fowlkes

Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization

Peihua Li, Jiangtao Xie, Qilong Wang, Zilin Gao

3D Object Detection With Latent Support Surfaces

Zhile Ren, Erik B. Sudderth

W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection

Yongqiang Zhang, Yancheng Bai, Mingli Ding, Yongqiang Li, Bernard Ghanem

Frustum PointNets for 3D Object Detection From RGB-D Data

Charles R. Qi, Wei Liu, Chenxia Wu, Hao Su, Leonidas J. Guibas

Super-Resolving Very Low-Resolution Face Images With Supplementary Attributes

Xin Yu, Basura Fernando, Richard Hartley, Fatih Porikli

Feedback-Prop: Convolutional Neural Network Inference Under Partial Evidence

Tianlu Wang, Kota Yamaguchi, Vicente Ordonez

On the Robustness of Semantic Segmentation Models to Adversarial Attacks

Anurag Arnab, Ondrej Miksik, Philip H.S. Torr

GAGAN: Geometry-Aware Generative Adversarial Networks

Jean Kossaifi, Linh Tran, Yannis Panagakis, Maja Pantic

SplineCNN: Fast Geometric Deep Learning With Continuous B-Spline Kernels

Matthias Fey, Jan Eric Lenssen, Frank Weichert, Heinrich Müller

Efficient Interactive Annotation of Segmentation Datasets With Polygon-RNN++

David Acuna, huan ling, Amlan Kar, Sanja Fidler

Learning Steerable Filters for Rotation Equivariant CNNs

Maurice Weiler, Fred A. Hamprecht, Martin Storath

Modulated Convolutional Networks

Xiaodi Wang, Baochang Zhang, Ce Li, Rongrong Ji, Jungong Han

A Constrained Deep Neural Network for Ordinal Regression

Yanzhu Liu, Adams Wai Kin Kong, Chi Keong Goh

FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis

Yujun Shen, Ping Luo, Junjie Yan, Xiaogang Wang, Xiaoou Tang

Towards a Mathematical Understanding of the Difficulty in Learning With Feedforward Neural Networks

Hao Shen

Learning to Sketch With Shortcut Cycle Consistency

Jifei Song, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales

Decorrelated Batch Normalization

Lei Huang, Dawei Yang, Bo Lang, Jia Deng

Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network

Daniel Merget, Matthias Rock, Gerhard Rigoll

A Two-Step Disentanglement Method

Naama Hadad, Lior Wolf, Moni Shahar