CVPR 2018

979 papers

CartoonGAN: Generative Adversarial Networks for Photo Cartoonization

Yang Chen, Yu-Kun Lai, Yong-jin Liu

ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing

Chen-Hsuan Lin, Ersin Yumer, Oliver Wang, Eli Shechtman, Simon Lucey

Deep Image Prior

Dmitry Ulyanov, Andrea Vedaldi, Victor Lempitsky

Towards Universal Representation for Unseen Action Recognition

Yi Zhu, Yang Long, Yu Guan, Shawn Newsam, Ling Shao

Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neural Networks

Aojun Zhou, Anbang Yao, Kuan Wang, Yurong Chen

SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis

Wengling Chen, James Hays

SGAN: An Alternative Training of Generative Adversarial Networks

Tatjana Chavdarova, Francois Fleuret

SO-Net: Self-Organizing Network for Point Cloud Analysis

Jiaxin Li, Ben M. Chen, Gim Hee Lee

Spatially-Adaptive Filter Units for Deep Neural Networks

Domen Tabernik, Matej Kristan, Ales Leonardis

Learning Compact Recurrent Neural Networks With Block-Term Tensor Decomposition

Jinmian Ye, Linnan Wang, Guangxi Li, Di Chen, Shandian Zhe

The Power of Ensembles for Active Learning in Image Classification

William H. Beluch, Tim Genewein, Andreas Nürnberger, Jan M. Köhler

Boosting Self-Supervised Learning via Knowledge Transfer

Mehdi Noroozi, Ananth Vinjimoor, Paolo Favaro, Hamed Pirsiavash

Learning Structure and Strength of CNN Filters for Small Sample Size Training

Rohit Keshari, Mayank Vatsa, Richa Singh, Afzel Noore

Improvements to Context Based Self-Supervised Learning

T. Nathan Mundhenk, Daniel Ho, Barry Y. Chen

Wide Compression: Tensor Ring Nets

Wenqi Wang, Yifan Sun, Brian Eriksson, Wenlin Wang, Vaneet Aggarwal

Guided Proofreading of Automatic Segmentations for Connectomics

Daniel Haehn, Verena Kaynig, James Tompkin, Jeff W. Lichtman, Hanspeter Pfister

Weakly Supervised Learning of Single-Cell Feature Embeddings

Juan C. Caicedo, Claire McQuin, Allen Goodman, Shantanu Singh, Anne E. Carpenter

3D Registration of Curves and Surfaces Using Local Differential Information

Carolina Raposo, Joao P. Barreto

Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation

Adrian V. Dalca, John Guttag, Mert R. Sabuncu

CNN Driven Sparse Multi-Level B-Spline Image Registration

Pingge Jiang, James A. Shackleford

Learning Distributions of Shape Trajectories From Longitudinal Datasets: A Hierarchical Model on a Manifold of Diffeomorphisms

Alexandre Bône, Olivier Colliot, Stanley DURRLEMAN

Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database

Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison

An Unsupervised Learning Model for Deformable Medical Image Registration

Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John Guttag, Adrian V. Dalca

Translating and Segmenting Multimodal Medical Volumes With Cycle- and Shape-Consistency Generative Adversarial Network

Zizhao Zhang, Lin Yang, Yefeng Zheng

TOM-Net: Learning Transparent Object Matting From a Single Image

Guanying Chen, Kai Han, Kwan-Yee K. Wong

3D Semantic Segmentation With Submanifold Sparse Convolutional Networks

Benjamin Graham, Martin Engelcke, Laurens van der Maaten

Tell Me Where to Look: Guided Attention Inference Network

Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Yun Fu

PointGrid: A Deep Network for 3D Shape Understanding

Truc Le, Ye Duan

NISP: Pruning Networks Using Neuron Importance Score Propagation

Ruichi Yu, Ang Li, Chun-Fu Chen, Jui-Hsin Lai, Vlad I. Morariu

Boosting Adversarial Attacks With Momentum

Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu

Learning Intelligent Dialogs for Bounding Box Annotation

Ksenia Konyushkova, Jasper Uijlings, Christoph H. Lampert, Vittorio Ferrari

Manifold Learning in Quotient Spaces

Éloi Mehr, André Lieutier, Fernando Sanchez Bermudez, Vincent Guitteny, Nicolas Thome

Learning Generative ConvNets via Multi-Grid Modeling and Sampling

Ruiqi Gao, Yang Lu, Junpei Zhou, Song-chun Zhu, Ying Nian Wu

Light Field Intrinsics With a Deep Encoder-Decoder Network

Anna Alperovich, Ole Johannsen, Michael Strecke, Bastian Goldluecke

Sketch-a-Classifier: Sketch-Based Photo Classifier Generation

Conghui Hu, Da Li, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales

Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions

Bichen Wu, Alvin Wan, Xiangyu Yue, Peter Jin, Sicheng Zhao

Rethinking Feature Distribution for Loss Functions in Image Classification

Weitao Wan, Yuanyi Zhong, Tianpeng Li, Jiansheng Chen

Detail-Preserving Pooling in Deep Networks

Faraz Saeedan, Nicolas Weber, Michael Goesele, Stefan Roth

Analytic Expressions for Probabilistic Moments of PL-DNN With Gaussian Input

Adel Bibi, Modar Alfadly, Bernard Ghanem

Feature Space Transfer for Data Augmentation

Bo Liu, Xudong Wang, Mandar Dixit, Roland Kwitt, Nuno Vasconcelos

Reinforcement Cutting-Agent Learning for Video Object Segmentation

Junwei Han, Le Yang, Dingwen Zhang, Xiaojun Chang, Xiaodan Liang

Gibson Env: Real-World Perception for Embodied Agents

Fei Xia, Amir R. Zamir, Zhiyang He, Alexander Sax, Jitendra Malik

Generating Synthetic X-Ray Images of a Person From the Surface Geometry

Brian Teixeira, Vivek Singh, Terrence Chen, Kai Ma, Birgi Tamersoy

TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays

Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald M. Summers

Learning Intrinsic Image Decomposition From Watching the World

Zhengqi Li, Noah Snavely

Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective

Jing Zhang, Tong Zhang, Yuchao Dai, Mehrtash Harandi, Richard Hartley

Recurrent Pixel Embedding for Instance Grouping

Shu Kong, Charless C. Fowlkes

Real-World Repetition Estimation by Div, Grad and Curl

Tom F. H. Runia, Cees G. M. Snoek, Arnold W. M. Smeulders

Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation

Huaizu Jiang, Deqing Sun, Varun Jampani, Ming-Hsuan Yang, Erik Learned-Miller

VITAL: VIsual Tracking via Adversarial Learning

Yibing Song, Chao Ma, Xiaohe Wu, Lijun Gong, Linchao Bao

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation

Tak-Wai Hui, Xiaoou Tang, Chen Change Loy

High Performance Visual Tracking With Siamese Region Proposal Network

Bo Li, Junjie Yan, Wei Wu, Zheng Zhu, Xiaolin Hu

Learning Spatial-Aware Regressions for Visual Tracking

Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang

Multi-Cell Detection and Classification Using a Generative Convolutional Model

Florence Yellin, Benjamin D. Haeffele, Sophie Roth, René Vidal

Revisiting Deep Intrinsic Image Decompositions

Qingnan Fan, Jiaolong Yang, Gang Hua, Baoquan Chen, David Wipf

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume

Deqing Sun, Xiaodong Yang, Ming-Yu Liu, Jan Kautz

Customized Image Narrative Generation via Interactive Visual Question Generation and Answering

Andrew Shin, Yoshitaka Ushiku, Tatsuya Harada

Deep Spatio-Temporal Random Fields for Efficient Video Segmentation

Siddhartha Chandra, Camille Couprie, Iasonas Kokkinos

Interpret Neural Networks by Identifying Critical Data Routing Paths

Yulong Wang, Hang Su, Bo Zhang, Xiaolin Hu

Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning

Yucen Luo, Jun Zhu, Mengxi Li, Yong Ren, Bo Zhang

Deep Learning Under Privileged Information Using Heteroscedastic Dropout

John Lambert, Ozan Sener, Silvio Savarese

Learning Deep Structured Active Contours End-to-End

Diego Marcos, Devis Tuia, Benjamin Kellenberger, Lisa Zhang, Min Bai

Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation

Yen-Cheng Liu, Yu-Ying Yeh, Tzu-Chien Fu, Sheng-De Wang, Wei-Chen Chiu

A Variational U-Net for Conditional Appearance and Shape Generation

Patrick Esser, Ekaterina Sutter, Bjorn Ommer

Interleaved Structured Sparse Convolutional Neural Networks

Guotian Xie, Jingdong Wang, Ting Zhang, Jianhuang Lai, Richang Hong

Deep Cross-Media Knowledge Transfer

Xin Huang, Yuxin Peng

Interpretable Convolutional Neural Networks

Quanshi Zhang, Ying Nian Wu, Song-chun Zhu

BlockDrop: Dynamic Inference Paths in Residual Networks

Zuxuan Wu, Tushar Nagarajan, Abhishek Kumar, Steven Rennie, Larry S. Davis

Semi-Parametric Image Synthesis

Xiaojuan Qi, Qifeng Chen, Jiaya Jia, Vladlen Koltun

High-Resolution Image Synthesis and Semantic Manipulation With Conditional GANs

Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim

Multimodal Explanations: Justifying Decisions and Pointing to the Evidence

Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Anna Rohrbach, Bernt Schiele

The INaturalist Species Classification and Detection Dataset

Grant Van Horn, Oisin Mac Aodha, Yang Song, Yin Cui, Chen Sun

Path Aggregation Network for Instance Segmentation

Shu Liu, Lu Qi, Haifang Qin, Jianping Shi, Jiaya Jia

A Neural Multi-Sequence Alignment TeCHnique (NeuMATCH)

Pelin Dogan, Boyang Li, Leonid Sigal, Markus Gross

End-to-End Dense Video Captioning With Masked Transformer

Luowei Zhou, Yingbo Zhou, Jason J. Corso, Richard Socher, Caiming Xiong

Net2Vec: Quantifying and Explaining How Concepts Are Encoded by Filters in Deep Neural Networks

Ruth Fong, Andrea Vedaldi

Language-Based Image Editing With Recurrent Attentive Models

Jianbo Chen, Yelong Shen, Jianfeng Gao, Jingjing Liu, Xiaodong Liu

SBNet: Sparse Blocks Network for Fast Inference

Mengye Ren, Andrei Pokrovsky, Bin Yang, Raquel Urtasun

Learning Transferable Architectures for Scalable Image Recognition

Barret Zoph, Vijay Vasudevan, Jonathon Shlens, Quoc V. Le

Iterative Learning With Open-Set Noisy Labels

Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha

Context Embedding Networks

Kun Ho Kim, Oisin Mac Aodha, Pietro Perona

NestedNet: Learning Nested Sparse Structures in Deep Neural Networks

Eunwoo Kim, Chanho Ahn, Songhwai Oh

Learning Compositional Visual Concepts With Mutual Consistency

Yunye Gong, Srikrishna Karanam, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst

Group Consistent Similarity Learning via Deep CRF for Person Re-Identification

Dapeng Chen, Dan Xu, hongsheng Li, Nicu Sebe, Xiaogang Wang

Neural Kinematic Networks for Unsupervised Motion Retargetting

Ruben Villegas, Jimei Yang, Duygu Ceylan, Honglak Lee

Learning Descriptor Networks for 3D Shape Synthesis and Analysis

Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-chun Zhu

Unsupervised Person Image Synthesis in Arbitrary Poses

Albert Pumarola, Antonio Agudo, Alberto Sanfeliu, Francesc Moreno-Noguer

IVQA: Inverse Visual Question Answering

Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun

Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions

Torsten Sattler, Will Maddern, Carl Toft, Akihiko Torii, Lars Hammarstrand

SemStyle: Learning to Generate Stylised Image Captions Using Unaligned Text

Alexander Mathews, Lexing Xie, Xuming He

MovieGraphs: Towards Understanding Human-Centric Situations From Videos

Paul Vicol, Makarand Tapaswi, Lluis Castrejon, Sanja Fidler

Deflecting Adversarial Attacks With Pixel Deflection

Aaditya Prakash, Nick Moran, Solomon Garber, Antonella DiLillo, James Storer

Art of Singular Vectors and Universal Adversarial Perturbations

Valentin Khrulkov, Ivan Oseledets

Guide Me: Interacting With Deep Networks

Christian Rupprecht, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari

Large-Scale Distance Metric Learning With Uncertainty

Qi Qian, Jiasheng Tang, Hao Li, Shenghuo Zhu, Rong Jin

“Learning-Compression” Algorithms for Neural Net Pruning

Miguel Á. Carreira-Perpiñán, Yerlan Idelbayev

A PID Controller Approach for Stochastic Optimization of Deep Networks

Wangpeng An, Haoqian Wang, Qingyun Sun, Jun Xu, Qionghai Dai

Multi-Agent Diverse Generative Adversarial Networks

Arnab Ghosh, Viveka Kulharia, Vinay P. Namboodiri, Philip H.S. Torr, Puneet K. Dokania

Generate to Adapt: Aligning Domains Using Generative Adversarial Networks

Swami Sankaranarayanan, Yogesh Balaji, Carlos D. Castillo, Rama Chellappa