CVPR 2018

979 papers

Unsupervised Deep Generative Adversarial Hashing Network

Kamran Ghasedi Dizaji, Feng Zheng, Najmeh Sadoughi, Yanhua Yang, Cheng Deng

Textbook Question Answering Under Instructor Guidance With Memory Networks

Juzheng Li, Hang Su, Jun Zhu, Siyu Wang, Bo Zhang

Link and Code: Fast Indexing With Graphs and Compact Regression Codes

Matthijs Douze, Alexandre Sablayrolles, Herve Jegou

Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection

David Novotny, Samuel Albanie, Diane Larlus, Andrea Vedaldi

Structured Set Matching Networks for One-Shot Part Labeling

Jonghyun Choi, Jayant Krishnamurthy, Aniruddha Kembhavi, Ali Farhadi

Divide and Grow: Capturing Huge Diversity in Crowd Images With Incrementally Growing CNN

Deepak Babu Sam, Neeraj N. Sajjan, R. Venkatesh Babu, Mukundhan Srinivasan

VizWiz Grand Challenge: Answering Visual Questions From Blind People

Danna Gurari, Qing Li, Abigale J. Stangl, Anhong Guo, Chi Lin

Zero-Shot Sketch-Image Hashing

Yuming Shen, Li Liu, Fumin Shen, Ling Shao

Relation Networks for Object Detection

Han Hu, Jiayuan Gu, Zheng Zhang, Jifeng Dai, Yichen Wei

An Analysis of Scale Invariance in Object Detection SNIP

Bharat Singh, Larry S. Davis

Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting With a Single Convolutional Net

Wenjie Luo, Bin Yang, Raquel Urtasun

3D-RCNN: Instance-Level 3D Object Reconstruction via Render-and-Compare

Abhijit Kundu, Yin Li, James M. Rehg

Visual to Sound: Generating Natural Sound for Videos in the Wild

Yipin Zhou, Zhaowen Wang, Chen Fang, Trung Bui, Tamara L. Berg

Facelet-Bank for Fast Portrait Manipulation

Ying-Cong Chen, Huaijia Lin, Michelle Shu, Ruiyu Li, Xin Tao

A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds

Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, Peter Sturm

Anticipating Traffic Accidents With Adaptive Loss and Large-Scale Incident DB

Tomoyuki Suzuki, Hirokatsu Kataoka, Yoshimitsu Aoki, Yutaka Satoh

Sparse, Smart Contours to Represent and Edit Images

Tali Dekel, Chuang Gan, Dilip Krishnan, Ce Liu, William T. Freeman

Cross-View Image Synthesis Using Conditional GANs

Krishna Regmi, Ali Borji

Learning Time/Memory-Efficient Deep Architectures With Budgeted Super Networks

Tom Véniat, Ludovic DENOYER

Generative Modeling Using the Sliced Wasserstein Distance

Ishan Deshpande, Ziyu Zhang, Alexander G. Schwing

Robust Classification With Convolutional Prototype Learning

Hong-Ming Yang, Xu-yao Zhang, Fei Yin, Cheng-lin Liu

Multi-Task Learning by Maximizing Statistical Dependence

Youssef A. Mejjati, Darren Cosker, Kwang In Kim

Local and Global Optimization Techniques in Graph-Based Clustering

Daiki Ikami, Toshihiko Yamasaki, Kiyoharu Aizawa

CLEAR: Cumulative LEARning for One-Shot One-Class Image Recognition

Jedrzej Kozerawski, Matthew Turk

Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation

Zhen Zhang, Mianzhi Wang, Yan Huang, Arye Nehorai

Sliced Wasserstein Distance for Learning Gaussian Mixture Models

Soheil Kolouri, Gustavo K. Rohde, Heiko Hoffmann

Hierarchical Recurrent Attention Networks for Structured Online Maps

Namdar Homayounfar, Wei-Chiu Ma, Shrinidhi Kowshika Lakshmikanth, Raquel Urtasun

Deformable GANs for Pose-Based Human Image Generation

Aliaksandr Siarohin, Enver Sangineto, Stéphane Lathuilière, Nicu Sebe

Disentangling Factors of Variation by Mixing Them

Qiyang Hu, Attila Szabó, Tiziano Portenier, Paolo Favaro, Matthias Zwicker

Defense Against Universal Adversarial Perturbations

Naveed Akhtar, Jian Liu, Ajmal Mian

Adversarially Learned One-Class Classifier for Novelty Detection

Mohammad Sabokrou, Mohammad Khalooei, Mahmood Fathy, Ehsan Adeli

Lightweight Probabilistic Deep Networks

Jochen Gast, Stefan Roth

Joint Pose and Expression Modeling for Facial Expression Recognition

Feifei Zhang, Tianzhu Zhang, Qirong Mao, Changsheng Xu

Low-Shot Learning With Large-Scale Diffusion

Matthijs Douze, arthur szlam, Bharath Hariharan, Herve Jegou

Domain Adaptive Faster R-CNN for Object Detection in the Wild

Yuhua Chen, Wen Li, Christos Sakaridis, Dengxin Dai, Luc Van Gool

A Biresolution Spectral Framework for Product Quantization

Lopamudra Mukherjee, Sathya N. Ravi, Jiming Peng, Vikas Singh

Unsupervised Correlation Analysis

Yedid Hoshen, Lior Wolf

Perturbative Neural Networks

Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides

BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning

Ziming Zhang, Yuanwei Wu, Guanghui Wang

Learning to See in the Dark

Chen Chen, Qifeng Chen, Jia Xu, Vladlen Koltun

Boundary Flow: A Siamese Network That Predicts Boundary Motion Without Training on Motion

Peng Lei, Fuxin Li, Sinisa Todorovic

Non-Blind Deblurring: Handling Kernel Uncertainty With CNNs

Subeesh Vasu, Venkatesh Reddy Maligireddy, A. N. Rajagopalan

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations

Kai Zhang, Wangmeng Zuo, Lei Zhang

Gated Fusion Network for Single Image Dehazing

Wenqi Ren, Lin Ma, Jiawei Zhang, Jinshan Pan, Xiaochun Cao

Flow Guided Recurrent Neural Encoder for Video Salient Object Detection

Guanbin Li, Yuan Xie, Tianhao Wei, Keze Wang, Liang Lin

Erase or Fill? Deep Joint Recurrent Rain Removal and Reconstruction in Videos

Jiaying Liu, Wenhan Yang, Shuai Yang, Zongming Guo

Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation

Younghyun Jo, Seoung Wug Oh, Jaeyeon Kang, Seon Joo Kim

Learning Convolutional Networks for Content-Weighted Image Compression

Mu Li, Wangmeng Zuo, Shuhang Gu, Debin Zhao, David Zhang

Universal Denoising Networks : A Novel CNN Architecture for Image Denoising

Stamatios Lefkimmiatis

Densely Connected Pyramid Dehazing Network

He Zhang, Vishal M. Patel

Active Fixation Control to Predict Saccade Sequences

Calden Wloka, Iuliia Kotseruba, John K. Tsotsos

MoNet: Moments Embedding Network

Mengran Gou, Fei Xiong, Octavia Camps, Mario Sznaier

Multi-Scale Weighted Nuclear Norm Image Restoration

Noam Yair, Tomer Michaeli

Image Blind Denoising With Generative Adversarial Network Based Noise Modeling

Jingwen Chen, Jiawei Chen, Hongyang Chao, Ming Yang

KIPPI: KInetic Polygonal Partitioning of Images

Jean-Philippe Bauchet, Florent Lafarge

Beyond the Pixel-Wise Loss for Topology-Aware Delineation

Agata Mosinska, Pablo Márquez-Neila, Mateusz Kozinski, Pascal Fua

Detect Globally, Refine Locally: A Novel Approach to Saliency Detection

Tiantian Wang, Lihe Zhang, Shuo Wang, Huchuan Lu, Gang Yang

“Zero-Shot” Super-Resolution Using Deep Internal Learning

Assaf Shocher, Nadav Cohen, Michal Irani

What Do Deep Networks Like to See?

Sebastian Palacio, Joachim Folz, Jörn Hees, Federico Raue, Damian Borth

Curve Reconstruction via the Global Statistics of Natural Curves

Ehud Barnea, Ohad Ben-Shahar

PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection

Nian Liu, Junwei Han, Ming-Hsuan Yang

Defocus Blur Detection via Multi-Stream Bottom-Top-Bottom Fully Convolutional Network

Wenda Zhao, Fan Zhao, Dong Wang, Huchuan Lu

Learning Dual Convolutional Neural Networks for Low-Level Vision

Jinshan Pan, Sifei Liu, Deqing Sun, Jiawei Zhang, Yang Liu

Pixels, Voxels, and Views: A Study of Shape Representations for Single View 3D Object Shape Prediction

Daeyun Shin, Charless C. Fowlkes, Derek Hoiem

Progressively Complementarity-Aware Fusion Network for RGB-D Salient Object Detection

Hao Chen, Youfu Li

Learning Patch Reconstructability for Accelerating Multi-View Stereo

Alex Poms, Chenglei Wu, Shoou-I Yu, Yaser Sheikh

Structure From Recurrent Motion: From Rigidity to Recurrency

Xiu Li, Hongdong Li, Hanbyul Joo, Yebin Liu, Yaser Sheikh

3D Pose Estimation and 3D Model Retrieval for Objects in the Wild

Alexander Grabner, Peter M. Roth, Vincent Lepetit

A Fast Resection-Intersection Method for the Known Rotation Problem

Qianggong Zhang, Tat-jun Chin, Huu Minh Le

SurfConv: Bridging 3D and 2D Convolution for RGBD Images

Hang Chu, Wei-Chiu Ma, Kaustav Kundu, Raquel Urtasun, Sanja Fidler

Inverse Composition Discriminative Optimization for Point Cloud Registration

Jayakorn Vongkulbhisal, Beñat Irastorza Ugalde, Fernando De la Torre, Joao P. Costeira

Camera Pose Estimation With Unknown Principal Point

Viktor Larsson, Zuzana Kukelova, Yinqiang Zheng

Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling

Xingyuan Sun, Jiajun Wu, Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang

Planar Shape Detection at Structural Scales

Hao Fang, Florent Lafarge, Mathieu Desbrun

Free Supervision From Video Games

Philipp Krähenbühl

Robust Depth Estimation From Auto Bracketed Images

Sunghoon Im, Hae-Gon Jeon, In So Kweon

Uncalibrated Photometric Stereo Under Natural Illumination

Zhipeng Mo, Boxin Shi, Feng Lu, Sai-Kit Yeung, Yasuyuki Matsushita

Tags2Parts: Discovering Semantic Regions From Shape Tags

Sanjeev Muralikrishnan, Vladimir G. Kim, Siddhartha Chaudhuri

Deep Marching Cubes: Learning Explicit Surface Representations

Yiyi Liao, Simon Donné, Andreas Geiger

Probabilistic Plant Modeling via Multi-View Image-to-Image Translation

Takahiro Isokane, Fumio Okura, Ayaka Ide, Yasuyuki Matsushita, Yasushi Yagi

Multi-View Consistency as Supervisory Signal for Learning Shape and Pose Prediction

Shubham Tulsiani, Alexei A. Efros, Jitendra Malik

Reconstructing Thin Structures of Manifold Surfaces by Integrating Spatial Curves

Shiwei Li, Yao Yao, Tian Fang, Long Quan

4D Human Body Correspondences From Panoramic Depth Maps

Zhong Li, Minye Wu, Wangyiteng Zhou, Jingyi Yu

Estimation of Camera Locations in Highly Corrupted Scenarios: All About That Base, No Shape Trouble

Yunpeng Shi, Gilad Lerman

Motion Segmentation by Exploiting Complementary Geometric Models

Xun Xu, Loong Fah Cheong, Zhuwen Li

Efficient, Sparse Representation of Manifold Distance Matrices for Classical Scaling

Javier S. Turek, Alexander G. Huth

Coding Kendall's Shape Trajectories for 3D Action Recognition

Amor Ben Tanfous, Hassen Drira, Boulbaba Ben Amor

Self-Calibrating Polarising Radiometric Calibration

Daniel Teo, Boxin Shi, Yinqiang Zheng, Sai-Kit Yeung

DeepMVS: Learning Multi-View Stereopsis

Po-Han Huang, Kevin Matzen, Johannes Kopf, Narendra Ahuja, Jia-Bin Huang

Learning for Disparity Estimation Through Feature Constancy

Zhengfa Liang, Yiliu Feng, Yulan Guo, Hengzhu Liu, Wei Chen

Real-Time Monocular Depth Estimation Using Synthetic Data With Domain Adaptation via Image Style Transfer

Amir Atapour-Abarghouei, Toby P. Breckon

PU-Net: Point Cloud Upsampling Network

Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-or, Pheng-Ann Heng

Deep Adversarial Metric Learning

Yueqi Duan, Wenzhao Zheng, Xudong Lin, Jiwen Lu, Jie Zhou

Decoupled Networks

Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin

Learning Deep Descriptors With Scale-Aware Triplet Networks

Michel Keller, Zetao Chen, Fabiola Maffra, Patrik Schmuck, Margarita Chli

CondenseNet: An Efficient DenseNet Using Learned Group Convolutions

Gao Huang, Shichen Liu, Laurens van der Maaten, Kilian Q. Weinberger

LDMNet: Low Dimensional Manifold Regularized Neural Networks

Wei Zhu, Qiang Qiu, Jiaji Huang, Robert Calderbank, Guillermo Sapiro

Self-Supervised Feature Learning by Learning to Spot Artifacts

Simon Jenni, Paolo Favaro

Partial Transfer Learning With Selective Adversarial Networks

ZHANGJIE CAO, Mingsheng Long, Jianmin Wang, Michael I. Jordan

Lean Multiclass Crowdsourcing

Grant Van Horn, Steve Branson, Scott Loarie, Serge Belongie, Pietro Perona