CVPR 2018

979 papers

InverseFaceNet: Deep Monocular Inverse Face Rendering

Hyeongwoo Kim, Michael Zollhöfer, Ayush Tewari, Justus Thies, Christian Richardt

Geometry-Aware Deep Network for Single-Image Novel View Synthesis

miaomiao Liu, Xuming He, Mathieu Salzmann

Attentional ShapeContextNet for Point Cloud Recognition

Saining Xie, Sainan Liu, Zeyu Chen, Zhuowen Tu

Reflection Removal for Large-Scale 3D Point Clouds

Jae-Seong Yun, Jae-Young Sim

Solving the Perspective-2-Point Problem for Flying-Camera Photo Composition

Ziquan Lan, David Hsu, Gim Hee Lee

ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans

Angela Dai, Daniel Ritchie, Martin Bokeloh, Scott Reed, Jürgen Sturm

Very Large-Scale Global SfM by Distributed Motion Averaging

Siyu Zhu, Runze Zhang, Lei Zhou, Tianwei Shen, Tian Fang

Large-Scale Point Cloud Semantic Segmentation With Superpoint Graphs

Loic Landrieu, Martin Simonovsky

Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling

Yiru Shen, Chen Feng, Yaoqing Yang, Dong Tian

Baseline Desensitizing in Translation Averaging

Bingbing Zhuang, Loong-Fah Cheong, Gim Hee Lee

Trust Your Model: Light Field Depth Estimation With Inline Occlusion Handling

Hendrik Schilling, Maximilian Diebold, Carsten Rother, Bernd Jahne

Im2Struct: Recovering 3D Shape Structure From a Single RGB Image

Chengjie Niu, Jun Li, Kai Xu

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen

Image to Image Translation for Domain Adaptation

Zak Murez, Soheil Kolouri, David Kriegman, Ravi Ramamoorthi, Kyungnam Kim

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

Yin Zhou, Oncel Tuzel

An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption

Xiyu Yu, Tongliang Liu, Mingming Gong, Kayhan Batmanghelich, Dacheng Tao

PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition

Mikaela Angelina Uy, Gim Hee Lee

Geometry Aware Constrained Optimization Techniques for Deep Learning

Soumava Kumar Roy, Zakaria Mhammedi, Mehrtash Harandi

View Extrapolation of Human Body From a Single Image

Hao Zhu, Hao Su, Peng Wang, Xun Cao, Ruigang Yang

Geometric Robustness of Deep Networks: Analysis and Improvement

Can Kanbak, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard

Learning Strict Identity Mappings in Deep Residual Networks

Xin Yu, Zhiding Yu, Srikumar Ramalingam

Generative Adversarial Perturbations

Omid Poursaeed, Isay Katsman, Bicheng Gao, Serge Belongie

The Lovász-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks

Maxim Berman, Amal Rannen Triki, Matthew B. Blaschko

Deep Diffeomorphic Transformer Networks

Nicki Skafte Detlefsen, Oren Freifeld, Søren Hauberg

Conditional Probability Models for Deep Image Compression

Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool

Improved Lossy Image Compression With Priming and Spatially Adaptive Bit Rates for Recurrent Networks

Nick Johnston, Damien Vincent, David Minnen, Michele Covell, Saurabh Singh

Two-Step Quantization for Low-Bit Neural Networks

Peisong Wang, Qinghao Hu, Yifan Zhang, Chunjie Zhang, Yang Liu

Dynamic Few-Shot Visual Learning Without Forgetting

Spyros Gidaris, Nikos Komodakis

Learning to Localize Sound Source in Visual Scenes

Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon

High-Order Tensor Regularization With Application to Attribute Ranking

Kwang In Kim, Juhyun Park, James Tompkin

Residual Parameter Transfer for Deep Domain Adaptation

Artem Rozantsev, Mathieu Salzmann, Pascal Fua

Coupled End-to-End Transfer Learning With Generalized Fisher Information

Shixing Chen, Caojin Zhang, Ming Dong

Deep Mutual Learning

Ying Zhang, Tao Xiang, Timothy M. Hospedales, Huchuan Lu

DS*: Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems

Florian Bernard, Christian Theobalt, Michael Moeller

SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks

Julian Faraone, Nicholas Fraser, Michaela Blott, Philip H.W. Leong

Partially Shared Multi-Task Convolutional Neural Network With Local Constraint for Face Attribute Learning

Jiajiong Cao, Yingming Li, Zhongfei Zhang

Generalized Zero-Shot Learning via Synthesized Examples

Vinay Kumar Verma, Gundeep Arora, Ashish Mishra, Piyush Rai

Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification

Wenguan Wang, Yuanlu Xu, Jianbing Shen, Song-chun Zhu

Zigzag Learning for Weakly Supervised Object Detection

XIAOPENG ZHANG, Jiashi Feng, Hongkai Xiong, Qi Tian

Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries

Bohan Zhuang, Qi Wu, Chunhua Shen, Ian Reid, Anton van den Hengel

Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval

CHAO LI, Cheng Deng, Ning Li, Wei Liu, Xinbo Gao

Learning to Segment Every Thing

Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, Ross Girshick

Tips and Tricks for Visual Question Answering: Learnings From the 2017 Challenge

Damien Teney, Peter Anderson, Xiaodong He, Anton van den Hengel

Video Captioning via Hierarchical Reinforcement Learning

Xin Wang, Wenhu Chen, Jiawei Wu, Yuan-Fang Wang, William Yang Wang

Single-Shot Refinement Neural Network for Object Detection

Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, Stan Z. Li

Long-Term On-Board Prediction of People in Traffic Scenes Under Uncertainty

Apratim Bhattacharyya, Mario Fritz, Bernt Schiele

Towards Dense Object Tracking in a 2D Honeybee Hive

Katarzyna Bozek, Laetitia Hebert, Alexander S. Mikheyev, Greg J. Stephens

A Network Architecture for Point Cloud Classification via Automatic Depth Images Generation

Riccardo Roveri, Lukas Rahmann, Cengiz Oztireli, Markus Gross

Dynamic Graph Generation Network: Generating Relational Knowledge From Diagrams

Daesik Kim, YoungJoon Yoo, Jee-Soo Kim, SangKuk Lee, Nojun Kwak

Grounding Referring Expressions in Images by Variational Context

Hanwang Zhang, Yulei Niu, Shih-fu Chang

Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition

Yaming Wang, Vlad I. Morariu, Larry S. Davis

Feature Selective Networks for Object Detection

Yao Zhai, Jingjing Fu, Yan Lu, Houqiang Li

Object Referring in Videos With Language and Human Gaze

Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool

Data Distillation: Towards Omni-Supervised Learning

Ilija Radosavovic, Piotr Dollár, Ross Girshick, Georgia Gkioxari, Kaiming He

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning

Yin Cui, Yang Song, Chen Sun, Andrew Howard, Serge Belongie

Pose Transferrable Person Re-Identification

Jinxian Liu, Bingbing Ni, Yichao Yan, Peng Zhou, Shuo Cheng

IQA: Visual Question Answering in Interactive Environments

Daniel Gordon, Aniruddha Kembhavi, Mohammad Rastegari, Joseph Redmon, Dieter Fox

Memory Matching Networks for One-Shot Image Recognition

Qi Cai, Yingwei Pan, Ting Yao, Chenggang Yan, Tao Mei

Dual Skipping Networks

Changmao Cheng, Yanwei Fu, Yu-Gang Jiang, Wei Liu, Wenlian Lu

Pseudo Mask Augmented Object Detection

Xiangyun Zhao, Shuang Liang, Yichen Wei

Who Let the Dogs Out? Modeling Dog Behavior From Visual Data

Kiana Ehsani, Hessam Bagherinezhad, Joseph Redmon, Roozbeh Mottaghi, Ali Farhadi

Knowledge Aided Consistency for Weakly Supervised Phrase Grounding

Kan Chen, Jiyang Gao, Ram Nevatia

Classification-Driven Dynamic Image Enhancement

Vivek Sharma, Ali Diba, Davy Neven, Michael S. Brown, Luc Van Gool

Hashing as Tie-Aware Learning to Rank

Kun He, Fatih Cakir, Sarah Adel Bargal, Stan Sclaroff

MaskLab: Instance Segmentation by Refining Object Detection With Semantic and Direction Features

Liang-Chieh Chen, Alexander Hermans, George Papandreou, Florian Schroff, Peng Wang

ClusterNet: Detecting Small Objects in Large Scenes by Exploiting Spatio-Temporal Information

Rodney LaLonde, Dong Zhang, Mubarak Shah

Feature Super-Resolution: Make Machine See More Clearly

Weimin Tan, Bo Yan, Bahetiyaer Bare

Finding Beans in Burgers: Deep Semantic-Visual Embedding With Localization

Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord

DOTA: A Large-Scale Dataset for Object Detection in Aerial Images

Gui-Song Xia, Xiang Bai, Jian Ding, Zhen Zhu, Serge Belongie

Deep Cocktail Network: Multi-Source Unsupervised Domain Adaptation With Category Shift

Ruijia Xu, Ziliang Chen, Wangmeng Zuo, Junjie Yan, Liang Lin

Lions and Tigers and Bears: Capturing Non-Rigid, 3D, Articulated Shape From Images

Silvia Zuffi, Angjoo Kanazawa, Michael J. Black

Beyond Grobner Bases: Basis Selection for Minimal Solvers

Viktor Larsson, Magnus Oskarsson, Kalle Åström, Alge Wallis, Zuzana Kukelova

Extreme 3D Face Reconstruction: Seeing Through Occlusions

Anh Tuan Tran, Tal Hassner, Iacopo Masi, Eran Paz, Yuval Nirkin

Automatic 3D Indoor Scene Modeling From Single Panorama

Yang Yang, Shi Jin, Ruiyang Liu, Sing Bing Kang, Jingyi Yu

Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation

Dan Xu, Wei Wang, Hao Tang, Hong Liu, Nicu Sebe

Neural 3D Mesh Renderer

Hiroharu Kato, Yoshitaka Ushiku, Tatsuya Harada

RayNet: Learning Volumetric 3D Reconstruction With Ray Potentials

Despoina Paschalidou, Osman Ulusoy, Carolin Schmitt, Luc Van Gool, Andreas Geiger

Tangent Convolutions for Dense Prediction in 3D

Maxim Tatarchenko, Jaesik Park, Vladlen Koltun, Qian-Yi Zhou

Modeling Facial Geometry Using Compositional VAEs

Timur Bagautdinov, Chenglei Wu, Jason Saragih, Pascal Fua, Yaser Sheikh

A Unifying Contrast Maximization Framework for Event Cameras, With Applications to Motion, Depth, and Optical Flow Estimation

Guillermo Gallego, Henri Rebecq, Davide Scaramuzza

Polarimetric Dense Monocular SLAM

Luwei Yang, Feitong Tan, Ao Li, Zhaopeng Cui, Yasutaka Furukawa

Im2Pano3D: Extrapolating 360° Structure and Semantics Beyond the Field of View

Shuran Song, Andy Zeng, Angel X. Chang, Manolis Savva, Silvio Savarese

Left-Right Comparative Recurrent Model for Stereo Matching

Zequn Jie, pengfei wang, Yonggen Ling, Bo Zhao, Yunchao Wei

Density Adaptive Point Set Registration

Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Per-Erik Forssen, Michael Felsberg

Teaching Categories to Human Learners With Visual Explanations

Oisin Mac Aodha, Shihan Su, Yuxin Chen, Pietro Perona, Yisong Yue

Environment Upgrade Reinforcement Learning for Non-Differentiable Multi-Stage Pipelines

Shuqin Xie, Zitian Chen, Chao Xu, Cewu Lu

Collaborative and Adversarial Network for Unsupervised Domain Adaptation

Weichen Zhang, Wanli Ouyang, Wen Li, Dong Xu

Weakly Supervised Instance Segmentation Using Class Peak Response

Yanzhao Zhou, Yi Zhu, Qixiang Ye, Qiang Qiu, Jianbin Jiao

Shape From Shading Through Shape Evolution

Dawei Yang, Jia Deng

Boosting Domain Adaptation by Discovering Latent Domains

Massimiliano Mancini, Lorenzo Porzi, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci

Empirical Study of the Topology and Geometry of Deep Networks

Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Stefano Soatto

Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Swami Sankaranarayanan, Yogesh Balaji, Arpit Jain, Ser Nam Lim, Rama Chellappa

Multi-Task Adversarial Network for Disentangled Feature Learning

Yang Liu, Zhaowen Wang, Hailin Jin, Ian Wassell

Unsupervised Feature Learning via Non-Parametric Instance Discrimination

Zhirong Wu, Yuanjun Xiong, Stella X. Yu, Dahua Lin

Maximum Classifier Discrepancy for Unsupervised Domain Adaptation

Kuniaki Saito, Kohei Watanabe, Yoshitaka Ushiku, Tatsuya Harada

Taskonomy: Disentangling Task Transfer Learning

Amir R. Zamir, Alexander Sax, William Shen, Leonidas J. Guibas, Jitendra Malik

Wasserstein Introspective Neural Networks

Kwonjoon Lee, Weijian Xu, Fan Fan, Zhuowen Tu

Efficient Optimization for Rank-Based Loss Functions

Pritish Mohapatra, Michal Rolinek, C.V. Jawahar, Vladimir Kolmogorov, M. Pawan Kumar

DenseASPP for Semantic Segmentation in Street Scenes

Maoke Yang, Kun Yu, Chi Zhang, Zhiwei Li, Kuiyuan Yang

Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments

Peter Anderson, Qi Wu, Damien Teney, Jake Bruce, Mark Johnson