CVPR 2018

979 papers

VirtualHome: Simulating Household Activities via Programs

Xavier Puig, Kevin Ra, Marko Boben, Jiaman Li, Tingwu Wang

Accurate and Diverse Sampling of Sequences Based on a “Best of Many” Sample Objective

Apratim Bhattacharyya, Bernt Schiele, Mario Fritz

MapNet: An Allocentric Spatial Memory for Mapping Environments

João F. Henriques, Andrea Vedaldi

Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images

Tribhuvanesh Orekondy, Mario Fritz, Bernt Schiele

TextureGAN: Controlling Deep Image Synthesis With Texture Patches

Wenqi Xian, Patsorn Sangkloy, Varun Agrawal, Amit Raj, Jingwan Lu

Separating Style and Content for Generalized Style Transfer

Yexun Zhang, Ya Zhang, Wenbin Cai

Learning Monocular 3D Human Pose Estimation From Multi-View Images

Helge Rhodin, Jörg Spörri, Isinsu Katircioglu, Victor Constantin, Frédéric Meyer

Seeing Voices and Hearing Faces: Cross-Modal Biometric Matching

Arsha Nagrani, Samuel Albanie, Andrew Zisserman

Hand PointNet: 3D Hand Pose Estimation Using Point Sets

Liuhao Ge, Yujun Cai, Junwu Weng, Junsong Yuan

Mesoscopic Facial Geometry Inference Using Deep Neural Networks

Loc Huynh, Weikai Chen, Shunsuke Saito, Jun Xing, Koki Nagano

Pose-Guided Photorealistic Face Rotation

Yibo Hu, Xiang Wu, Bing Yu, Ran He, Zhenan Sun

Video Based Reconstruction of 3D People Models

Thiemo Alldieck, Marcus Magnor, Weipeng Xu, Christian Theobalt, Gerard Pons-Moll

Unsupervised Training for 3D Morphable Model Regression

Kyle Genova, Forrester Cole, Aaron Maschinot, Aaron Sarna, Daniel Vlasic

Unsupervised Learning and Segmentation of Complex Activities From Video

Fadime Sener, Angela Yao

Detecting and Recognizing Human-Object Interactions

Georgia Gkioxari, Ross Girshick, Piotr Dollár, Kaiming He

SSNet: Scale Selection Network for Online 3D Action Prediction

Jun Liu, Amir Shahroudy, Gang Wang, Ling-Yu Duan, Alex C. Kot

Synthesizing Images of Humans in Unseen Poses

Guha Balakrishnan, Amy Zhao, Adrian V. Dalca, Fredo Durand, John Guttag

Augmented Skeleton Space Transfer for Depth-Based Hand Pose Estimation

Seungryul Baek, Kwang In Kim, Tae-kyun Kim

Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies

Hanbyul Joo, Tomas Simon, Yaser Sheikh

Visual Feature Attribution Using Wasserstein GANs

Christian F. Baumgartner, Lisa M. Koch, Kerem Can Tezcan, Jia Xi Ang, Ender Konukoglu

Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation

Xiaowei Xu, Qing Lu, Lin Yang, Sharon Hu, Danny Chen

Thoracic Disease Identification and Localization With Limited Supervision

Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei

Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation

Qihang Yu, Lingxi Xie, Yan Wang, Yuyin Zhou, Elliot K. Fishman

GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning

Yueqi Duan, Ziwei Wang, Jiwen Lu, Xudong Lin, Jie Zhou

Deep Semantic Face Deblurring

Ziyi Shen, Wei-Sheng Lai, Tingfa Xu, Jan Kautz, Ming-Hsuan Yang

Missing Slice Recovery for Tensors Using a Low-Rank Model in Embedded Space

Tatsuya Yokota, Burak Erem, Seyhmus Guler, Simon K. Warfield, Hidekata Hontani

Avatar-Net: Multi-Scale Zero-Shot Style Transfer by Feature Decoration

Lu Sheng, Ziyi Lin, Jing Shao, Xiaogang Wang

Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration

Xinyuan Zhang, Xin Yuan, Lawrence Carin

Arbitrary Style Transfer With Deep Feature Reshuffle

Shuyang Gu, Congliang Chen, Jing Liao, Lu Yuan

On the Duality Between Retinex and Image Dehazing

Adrian Galdran, Aitor Alvarez-Gila, Alessandro Bria, Javier Vazquez-Corral, Marcelo Bertalmío

Single Image Dehazing via Conditional Generative Adversarial Network

Runde Li, Jinshan Pan, Zechao Li, Jinhui Tang

A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping

Debang Li, Huikai Wu, Junge Zhang, Kaiqi Huang

DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

Orest Kupyn, Volodymyr Budzan, Mykola Mykhailych, Dmytro Mishkin, Jiri Matas

Scale-Recurrent Network for Deep Image Deblurring

Xin Tao, Hongyun Gao, Xiaoyong Shen, Jue Wang, Jiaya Jia

Efficient Subpixel Refinement With Symbolic Linear Predictors

Vincent Lui, Jonathon Geeves, Winston Yii, Tom Drummond

Importance Weighted Adversarial Nets for Partial Domain Adaptation

Jing Zhang, Zewei Ding, Wanqing Li, Philip Ogunbona

Fast and Robust Estimation for Unit-Norm Constrained Linear Fitting Problems

Daiki Ikami, Toshihiko Yamasaki, Kiyoharu Aizawa

Geometric Multi-Model Fitting With a Convex Relaxation Algorithm

Paul Amayo, Pedro Pinies, Lina M. Paz, Paul Newman

Deep Density Clustering of Unconstrained Faces

Wei-An Lin, Jun-Cheng Chen, Carlos D. Castillo, Rama Chellappa

Efficient Parametrization of Multi-Domain Deep Neural Networks

Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi

OLÉ: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep Learning

José Lezama, Qiang Qiu, Pablo Musé, Guillermo Sapiro

From Source to Target and Back: Symmetric Bi-Directional Adaptive GAN

Paolo Russo, Fabio M. Carlucci, Tatiana Tommasi, Barbara Caputo

SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval

Peng Xu, Yongye Huang, Tongtong Yuan, Kaiyue Pang, Yi-Zhe Song

HydraNets: Specialized Dynamic Architectures for Efficient Inference

Ravi Teja Mullapudi, William R. Mark, Noam Shazeer, Kayvon Fatahalian

People, Penguins and Petri Dishes: Adapting Object Counting Models to New Visual Domains and Object Types Without Forgetting

Mark Marsden, Kevin McGuinness, Suzanne Little, Ciara E. Keogh, Noel E. O'Connor

Neural Style Transfer via Meta Networks

Falong Shen, Shuicheng Yan, Gang Zeng

Learning and Using the Arrow of Time

Donglai Wei, Joseph J. Lim, Andrew Zisserman, William T. Freeman

Resource Aware Person Re-Identification Across Multiple Resolutions

Yan Wang, Lequn Wang, Yurong You, Xu Zou, Vincent Chen

SoS-RSC: A Sum-of-Squares Polynomial Approach to Robustifying Subspace Clustering Algorithms

Mario Sznaier, Octavia Camps

Matching Adversarial Networks

Gellert Mattyus, Raquel Urtasun

Learning Deep Sketch Abstraction

Umar Riaz Muhammad, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales

Unsupervised Domain Adaptation With Similarity Learning

Pedro O. Pinheiro

Regularizing RNNs for Caption Generation by Reconstructing the Past With the Present

Xinpeng Chen, Lin Ma, Wenhao Jiang, Jian Yao, Wei Liu

Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis

Seunghoon Hong, Dingdong Yang, Jongwook Choi, Honglak Lee

Re-Weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation

Qingchao Chen, Yang Liu, Zhaowen Wang, Ian Wassell, Kevin Chetty

Tagging Like Humans: Diverse and Distinct Image Annotation

Baoyuan Wu, Weidong Chen, peng sun, Wei Liu, Bernard Ghanem

Feature Quantization for Defending Against Distortion of Images

Zhun Sun, Mete Ozay, Yan Zhang, Xing Liu, Takayuki Okatani

Unsupervised Cross-Dataset Person Re-Identification by Transfer Learning of Spatial-Temporal Patterns

Jianming Lv, Weihang Chen, Qing Li, Can Yang

Face Aging With Identity-Preserved Conditional Generative Adversarial Networks

Zongwei Wang, Xu Tang, Weixin Luo, Shenghua Gao

Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks

Jason Kuen, Xiangfei Kong, Zhe Lin, Gang Wang, Jianxiong Yin

Towards Effective Low-Bitwidth Convolutional Neural Networks

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

ClcNet: Improving the Efficiency of Convolutional Neural Network Using Channel Local Convolutions

Dong-Qing Zhang

Eye In-Painting With Exemplar Generative Adversarial Networks

Brian Dolhansky, Cristian Canton Ferrer

ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes

Yuhua Chen, Wen Li, Luc Van Gool

Inference in Higher Order MRF-MAP Problems With Small and Large Cliques

Ishant Shanu, Chetan Arora, S.N. Maheshwari

CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization

Frederick Tung, Greg Mori

Representing and Learning High Dimensional Data With the Optimal Transport Map From a Probabilistic Viewpoint

Serim Park, Matthew Thorpe

Controllable Video Generation With Sparse Trajectories

Zekun Hao, Xun Huang, Serge Belongie

What Have We Learned From Deep Representations for Action Recognition?

Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes, Andrew Zisserman

Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification

Xiang Long, Chuang Gan, Gerard de Melo, Jiajun Wu, Xiao Liu

Learning Compressible 360° Video Isomers

Yu-Chuan Su, Kristen Grauman

Optimizing Video Object Detection via a Scale-Time Lattice

Kai Chen, Jiaqi Wang, Shuo Yang, Xingcheng Zhang, Yuanjun Xiong

LAMV: Learning to Align and Match Videos With Kernelized Temporal Layers

Lorenzo Baraldi, Matthijs Douze, Rita Cucchiara, Herve Jegou

Non-Local Neural Networks

Xiaolong Wang, Ross Girshick, Abhinav Gupta, Kaiming He

Neural Sign Language Translation

Necati Cihan Camgoz, Simon Hadfield, Oscar Koller, Hermann Ney, Richard Bowden

Repulsion Loss: Detecting Pedestrians in a Crowd

Xinlong Wang, Tete Xiao, Yuning Jiang, Shuai Shao, Jian Sun

PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

Arun Mallya, Svetlana Lazebnik

Beyond Trade-Off: Accelerate FCN-Based Face Detector With Higher Accuracy

Guanglu Song, Yu Liu, Ming Jiang, Yujie Wang, Junjie Yan

Visual Grounding via Accumulated Attention

Chaorui Deng, Qi Wu, Qingyao Wu, Fuyuan Hu, Fan Lyu

Learning Visual Knowledge Memory Networks for Visual Question Answering

Zhou Su, Chen Zhu, Yinpeng Dong, Dongqi Cai, Yurong Chen

Learning Multi-Instance Enriched Image Representations via Non-Greedy Ratio Maximization of the l1-Norm Distances

Kai Liu, Hua Wang, Feiping Nie, Hao Zhang

Bidirectional Retrieval Made Simple

Jonatas Wehrmann, Rodrigo C. Barros

Learning Attribute Representations With Localization for Flexible Fashion Search

Kenan E. Ak, Ashraf A. Kassim, Joo Hwee Lim, Jo Yew Tham

Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning

Vasili Ramanishka, Yi-Ting Chen, Teruhisa Misu, Kate Saenko

Learning From Noisy Web Data With Category-Level Supervision

Li Niu, Qingtao Tang, Ashok Veeraraghavan, Ashutosh Sabharwal

Differential Attention for Visual Question Answering

Badri Patro, Vinay P. Namboodiri

Zero-Shot Kernel Learning

Hongguang Zhang, Piotr Koniusz

Leveraging Unlabeled Data for Crowd Counting by Learning to Rank

Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov

PIXOR: Real-Time 3D Object Detection From Point Clouds

Bin Yang, Wenjie Luo, Raquel Urtasun

Mining on Manifolds: Metric Learning Without Labels

Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondřej Chum

Fast Spectral Ranking for Similarity Search

Ahmet Iscen, Yannis Avrithis, Giorgos Tolias, Teddy Furon, Ondřej Chum

Reconstruction Network for Video Captioning

Bairui Wang, Lin Ma, Wei Zhang, Wei Liu

Show Me a Story: Towards Coherent Neural Story Illustration

Hareesh Ravi, Lezi Wang, Carlos Muniz, Leonid Sigal, Dimitris Metaxas

Preserving Semantic Relations for Zero-Shot Learning

Yashas Annadani, Soma Biswas

Future Person Localization in First-Person Videos

Takuma Yagi, Karttikeya Mangalam, Ryo Yonetani, Yoichi Sato

Weakly Supervised Coupled Networks for Visual Sentiment Analysis

Jufeng Yang, Dongyu She, Yu-Kun Lai, Paul L. Rosin, Ming-Hsuan Yang

Audio to Body Dynamics

Eli Shlizerman, Lucio Dery, Hayden Schoen, Ira Kemelmacher-Shlizerman

Multi-Content GAN for Few-Shot Font Style Transfer

Samaneh Azadi, Matthew Fisher, Vladimir G. Kim, Zhaowen Wang, Eli Shechtman

Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation

Pengyuan Lyu, Cong Yao, Wenhao Wu, Shuicheng Yan, Xiang Bai

VITON: An Image-Based Virtual Try-On Network

Xintong Han, Zuxuan Wu, Zhe Wu, Ruichi Yu, Larry S. Davis