CVPR 2016

643 papers

CRAFT Objects From Images

Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li

Zero-Shot Learning via Joint Latent Similarity Embedding

Ziming Zhang, Venkatesh Saligrama

Deep Exemplar 2D-3D Detection by Adapting From Real to Rendered Views

Francisco Massa, Bryan C. Russell, Mathieu Aubry

Cataloging Public Objects Using Aerial and Street-Level Images - Urban Trees

Jan D. Wegner, Steven Branson, David Hall, Konrad Schindler, Pietro Perona

PPP: Joint Pointwise and Pairwise Image Label Prediction

Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, baoxin Li

Modality and Component Aware Feature Fusion For RGB-D Scene Classification

Anran Wang, Jianfei Cai, Jiwen Lu, Tat-Jen Cham

Fast Zero-Shot Image Tagging

Yang Zhang, Boqing Gong, Mubarak Shah

Recovering the Missing Link: Predicting Class-Attribute Associations for Unsupervised Zero-Shot Learning

Ziad Al-Halah, Makarand Tapaswi, Rainer Stiefelhagen

Marr Revisited: 2D-3D Alignment via Surface Normal Prediction

Aayush Bansal, Bryan Russell, Abhinav Gupta

Fast Training of Triplet-Based Deep Binary Embedding Networks

Bohan Zhuang, Guosheng Lin, Chunhua Shen, Ian Reid

On Benefits of Selection Diversity via Bilevel Exclusive Sparsity

Haichuan Yang, Yijun Huang, Lam Tran, Ji Liu, Shuai Huang

Globally Optimal Rigid Intensity Based Registration: A Fast Fourier Domain Approach

Behrooz Nasihatkon, Frida Fejne, Fredrik Kahl

Moral Lineage Tracing

Florian Jug, Evgeny Levinkov, Corinna Blasse, Eugene W. Myers, Bjoern Andres

TenSR: Multi-Dimensional Tensor Sparse Representation

Na Qi, Yunhui Shi, Xiaoyan Sun, Baocai Yin

Estimating Sparse Signals With Smooth Support via Convex Programming and Block Sparsity

Sohil Shah, Tom Goldstein, Christoph Studer

Solving Temporal Puzzles

Caglayan Dicle, Burak Yilmaz, Octavia Camps, Mario Sznaier

Minimizing the Maximal Rank

Erik Bylow, Carl Olsson, Fredrik Kahl, Mikael Nilsson

Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization

Mingkui Tan, Shijie Xiao, Junbin Gao, Dong Xu, Anton van den Hengel

Memory Efficient Max Flow for Multi-Label Submodular MRFs

Thalaiyasingam Ajanthan, Richard Hartley, Mathieu Salzmann

Guaranteed Outlier Removal With Mixed Integer Linear Programs

Tat-jun Chin, Yang Heng Kee, Anders Eriksson, Frank Neumann

Principled Parallel Mean-Field Inference for Discrete Random Fields

Pierre Baque, Timur Bagautdinov, Francois Fleuret, Pascal Fua

Sparse Coding for Classification via Discrimination Ensemble

Yuhui Quan, Yong Xu, Yuping Sun, Yan Huang, Hui Ji

Relaxation-Based Preprocessing Techniques for Markov Random Field Inference

Chen Wang, Ramin Zabih

Trust No One: Low Rank Matrix Factorization Using Hierarchical RANSAC

Magnus Oskarsson, Kenneth Batstone, Kalle Åström

Context-Aware Gaussian Fields for Non-Rigid Point Set Registration

Gang Wang, Zhicheng Wang, Yufei Chen, Qiangqiang Zhou, Weidong Zhao

Gravitational Approach for Point Set Registration

Vladislav Golyanik, Sk Aziz Ali, Didier Stricker

Estimating Correspondences of Deformable Objects "In-The-Wild"

Yuxiang Zhou, Epameinondas Antonakos, Joan Alabort-i-Medina, Anastasios Roussos, Stefanos Zafeiriou

Saliency Unified: A Deep Architecture for Simultaneous Eye Fixation Prediction and Salient Object Segmentation

Srinivas S. S. Kruthiventi, Vennela Gudisa, Jaley H. Dholakiya, R. Venkatesh Babu

Longitudinal Face Modeling via Temporal Deep Restricted Boltzmann Machines

Chi Nhan Duong, Khoa Luu, Kha Gia Quach, Tien D. Bui

A Paradigm for Building Generalized Models of Human Image Perception Through Data Fusion

Shaojing Fan, Tian-Tsong Ng, Bryan L. Koenig, Ming Jiang, Qi Zhao

End-To-End Saliency Mapping via Probability Distribution Prediction

Saumya Jetley, Naila Murray, Eleonora Vig

Recombinator Networks: Learning Coarse-To-Fine Feature Aggregation

Sina Honari, Jason Yosinski, Pascal Vincent, Christopher Pal

Unconstrained Salient Object Detection via Proposal Subset Optimization

Jianming Zhang, Stan Sclaroff, Zhe Lin, Xiaohui Shen, Brian Price

Exemplar-Driven Top-Down Saliency Detection via Deep Association

Shengfeng He, Rynson W.H. Lau, Qingxiong Yang

FANNG: Fast Approximate Nearest Neighbour Graphs

Ben Harwood, Tom Drummond

Efficient Coarse-To-Fine PatchMatch for Large Displacement Optical Flow

Yinlin Hu, Rui Song, Yunsong Li

Efficient Deep Learning for Stereo Matching

Wenjie Luo, Alexander G. Schwing, Raquel Urtasun

GOGMA: Globally-Optimal Gaussian Mixture Alignment

Dylan Campbell, Lars Petersson

A Field Model for Repairing 3D Shapes

Duc Thanh Nguyen, Binh-Son Hua, Khoi Tran, Quang-Hieu Pham, Sai-Kit Yeung

Learning Weight Uncertainty With Stochastic Gradient MCMC for Shape Classification

Chunyuan Li, Andrew Stevens, Changyou Chen, Yunchen Pu, Zhe Gan

Detecting Vanishing Points Using Global Image Context in a Non-Manhattan World

Menghua Zhai, Scott Workman, Nathan Jacobs

Volumetric and Multi-View CNNs for Object Classification on 3D Data

Charles R. Qi, Hao Su, Matthias Niessner, Angela Dai, Mengyuan Yan

Motion From Structure (MfS): Searching for 3D Objects in Cluttered Point Trajectories

Jayakorn Vongkulbhisal, Ricardo Cabral, Fernando De la Torre, Joao P. Costeira

Linear Shape Deformation Models With Local Support Using Graph-Based Structured Matrix Factorisation

Florian Bernard, Peter Gemmar, Frank Hertel, Jorge Goncalves, Johan Thunberg

Slicing Convolutional Neural Network for Crowd Video Understanding

Jing Shao, Chen-Change Loy, Kai Kang, Xiaogang Wang

Fits Like a Glove: Rapid and Reliable Hand Shape Personalization

David Joseph Tan, Thomas Cashman, Jonathan Taylor, Andrew Fitzgibbon, Daniel Tarlow

Bottom-Up and Top-Down Reasoning With Hierarchical Rectified Gaussians

Peiyun Hu, Deva Ramanan

Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose Estimation

Dipan K. Pal, Felix Juefei-Xu, Marios Savvides

LOMo: Latent Ordinal Model for Facial Analysis in Videos

Karan Sikka, Gaurav Sharma, Marian Bartlett

ForgetMeNot: Memory-Aware Forensic Facial Sketch Matching

Shuxin Ouyang, Timothy M. Hospedales, Yi-Zhe Song, Xueming Li

EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild

C. Fabian Benitez-Quiroz, Ramprakash Srinivasan, Aleix M. Martinez

Some Like It Hot - Visual Guidance for Preference Prediction

Rasmus Rothe, Radu Timofte, Luc Van Gool

A 3D Morphable Model Learnt From 10,000 Faces

James Booth, Anastasios Roussos, Stefanos Zafeiriou, Allan Ponniah, David Dunaway

Situation Recognition: Visual Semantic Role Labeling for Image Understanding

Mark Yatskar, Luke Zettlemoyer, Ali Farhadi

WIDER FACE: A Face Detection Benchmark

Shuo Yang, Ping Luo, Chen-Change Loy, Xiaoou Tang

DeepStereo: Learning to Predict New Views From the World's Imagery

John Flynn, Ivan Neulander, James Philbin, Noah Snavely

Monocular Depth Estimation Using Neural Regression Forest

Anirban Roy, Sinisa Todorovic

Accelerated Generative Models for 3D Point Cloud Data

Benjamin Eckart, Kihwan Kim, Alejandro Troccoli, Alonzo Kelly, Jan Kautz

From Dusk Till Dawn: Modeling in the Dark

Filip Radenovic, Johannes L. Schonberger, Dinghuang Ji, Jan-Michael Frahm, Ondřej Chum

Just Look at the Image: Viewpoint-Specific Surface Normal Prediction for Improved Multi-View Reconstruction

Silvano Galliani, Konrad Schindler

Theory and Practice of Structure-From-Motion Using Affine Correspondences

Carolina Raposo, Joao P. Barreto

Semantic 3D Reconstruction With Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint

Nikolay Savinov, Christian Häne, Lubor Ladicky, Marc Pollefeys

SVBRDF-Invariant Shape and Reflectance Estimation From Light-Field Cameras

Ting-Chun Wang, Manmohan Chandraker, Alexei A. Efros, Ravi Ramamoorthi

HyperDepth: Learning Depth From Structured Light Without Matching

Sean Ryan Fanello, Christoph Rhemann, Vladimir Tankovich, Adarsh Kowdle, Sergio Orts Escolano

Structured Prediction of Unobserved Voxels From a Single Depth Image

Michael Firman, Oisin Mac Aodha, Simon Julier, Gabriel J. Brostow

Efficient 3D Room Shape Recovery From a Single Panorama

Hao Yang, Hui Zhang

High-Quality Depth From Uncalibrated Small Motion Clip

Hyowon Ha, Sunghoon Im, Jaesik Park, Hae-Gon Jeon, In So Kweon

Random Features for Sparse Signal Classification

Jen-Hao Rick Chang, Aswin C. Sankaranarayanan, B. V. K. Vijaya Kumar

Sparse Coding for Third-Order Super-Symmetric Tensor Descriptors With Application to Texture Recognition

Piotr Koniusz, Anoop Cherian

Learning Local Image Descriptors With Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions

Vijay Kumar B G, Gustavo Carneiro, Ian Reid

Learning Deep Representation for Imbalanced Classification

Chen Huang, Yining Li, Chen Change Loy, Xiaoou Tang

Min Norm Point Algorithm for Higher Order MRF-MAP Inference

Ishant Shanu, Chetan Arora, Parag Singla

Discriminatively Embedded K-Means for Multi-View Clustering

Jinglin Xu, Junwei Han, Feiping Nie

Simultaneous Clustering and Model Selection for Tensor Affinities

Zhuwen Li, Shuoguang Yang, Loong-Fah Cheong, Kim-Chuan Toh

Semi-Supervised Vocabulary-Informed Learning

Yanwei Fu, Leonid Sigal

Synthesized Classifiers for Zero-Shot Learning

Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, Fei Sha

Learning to Select Pre-Trained Deep Representations With Bayesian Evidence Framework

Yong-Deok Kim, Taewoong Jang, Bohyung Han, Seungjin Choi

Structural-RNN: Deep Learning on Spatio-Temporal Graphs

Ashesh Jain, Amir R. Zamir, Silvio Savarese, Ashutosh Saxena

NetVLAD: CNN Architecture for Weakly Supervised Place Recognition

Relja Arandjelović, Petr Gronat, Akihiko Torii, Tomas Pajdla, Josef Sivic

MSR-VTT: A Large Video Description Dataset for Bridging Video and Language

Jun Xu, Tao Mei, Ting Yao, Yong Rui

Backtracking ScSPM Image Classifier for Weakly Supervised Top-Down Saliency

Hisham Cholakkal, Jubin Johnson, Deepu Rajan

Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations

xian wei, Hao Shen, Martin Kleinsteuber

Sliced Wasserstein Kernels for Probability Distributions

Soheil Kolouri, Yang Zou, Gustavo K. Rohde

Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization

Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin

Recognizing Emotions From Abstract Paintings Using Non-Linear Matrix Completion

Xavier Alameda-Pineda, Elisa Ricci, Yan Yan, Nicu Sebe

Active Learning for Delineation of Curvilinear Structures

Agata Mosinska-Domanska, Raphael Sznitman, Przemyslaw Glowacki, Pascal Fua

Kernel Approximation via Empirical Orthogonal Decomposition for Unsupervised Feature Learning

Yusuke Mukuta, Tatsuya Harada

Robust Tensor Factorization With Unknown Noise

Xi'ai Chen, Zhi Han, Yao Wang, Qian Zhao, Deyu Meng

Subspace Clustering With Priors via Sparse Quadratically Constrained Quadratic Programming

Yongfang Cheng, Yin Wang, Mario Sznaier, Octavia Camps

Approximate Log-Hilbert-Schmidt Distances Between Covariance Operators for Image Classification

Ha Quang Minh, Marco San Biagio, Loris Bazzani, Vittorio Murino

When VLAD Met Hilbert

Mehrtash Harandi, Mathieu Salzmann, Fatih Porikli

Unsupervised Learning of Discriminative Attributes and Visual Representations

Chen Huang, Chen Change Loy, Xiaoou Tang

Symmetry reCAPTCHA

Chris Funk, Yanxi Liu

Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds

Ming Yin, Yi Guo, Junbin Gao, Zhaoshui He, Shengli Xie

Joint Unsupervised Learning of Deep Representations and Image Clusters

Jianwei Yang, Devi Parikh, Dhruv Batra

Multi-Label Ranking From Positive and Unlabeled Data

Atsushi Kanehira, Tatsuya Harada

Large Scale Hard Sample Mining With Monte Carlo Tree Search

Olivier Canevet, Francois Fleuret

Multilinear Hyperplane Hashing

Xianglong Liu, Xinjie Fan, Cheng Deng, Zhujin Li, Hao Su

Deep Canonical Time Warping

George Trigeorgis, Mihalis A. Nicolaou, Stefanos Zafeiriou, Bjorn W. Schuller

Constrained Deep Transfer Feature Learning and Its Applications

Yue Wu, Qiang Ji