CVPR 2016

643 papers

Deep Structured Scene Parsing by Learning With Image Descriptions

Liang Lin, Guangrun Wang, Rui Zhang, Ruimao Zhang, Xiaodan Liang

Hierarchically Gated Deep Networks for Semantic Segmentation

Guo-Jun Qi

Fast Algorithms for Linear and Kernel SVM+

Wen Li, Dengxin Dai, Mingkui Tan, Dong Xu, Luc Van Gool

Less Is More: Zero-Shot Learning From Online Textual Documents With Noise Suppression

Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel

Deep Decision Network for Multi-Class Image Classification

Venkatesh N. Murthy, Vivek Singh, Terrence Chen, R. Manmatha, Dorin Comaniciu

Recursive Recurrent Nets With Attention Modeling for OCR in the Wild

Chen-Yu Lee, Simon Osindero

iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning

Ali Borji, Saeed Izadi, Laurent Itti

Refining Architectures of Deep Convolutional Neural Networks

Sukrit Shankar, Duncan Robertson, Yani Ioannou, Antonio Criminisi, Roberto Cipolla

A Task-Oriented Approach for Cost-Sensitive Recognition

Roozbeh Mottaghi, Hannaneh Hajishirzi, Ali Farhadi

Ambiguity Helps: Classification With Disagreements in Crowdsourced Annotations

Viktoriia Sharmanska, Daniel Hernández-lobato, José Miguel Hernández-Lobato, Novi Quadrianto

Efficient Globally Optimal 2D-To-3D Deformable Shape Matching

Zorah Lähner, Emanuele Rodolà, Frank R. Schmidt, Michael M. Bronstein, Daniel Cremers

Eye Tracking for Everyone

Kyle Krafka, Aditya Khosla, Petr Kellnhofer, Harini Kannan, Suchendra Bhandarkar

Deep Relative Distance Learning: Tell the Difference Between Similar Vehicles

Hongye Liu, Yonghong Tian, Yaowei Yang, Lu Pang, Tiejun Huang

How Hard Can It Be? Estimating the Difficulty of Visual Search in an Image

Radu Tudor Ionescu, Bogdan Alexe, Marius Leordeanu, Marius Popescu, Dim P. Papadopoulos

Monocular 3D Object Detection for Autonomous Driving

Xiaozhi Chen, Kaustav Kundu, Ziyu Zhang, Huimin Ma, Sanja Fidler

Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection

Keze Wang, Liang Lin, Wangmeng Zuo, Shuhang Gu, Lei Zhang

Exploit All the Layers: Fast and Accurate CNN Object Detector With Scale Dependent Pooling and Cascaded Rejection Classifiers

Fan Yang, Wongun Choi, Yuanqing Lin

Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer

Yuxing Tang, Josiah Wang, Boyang Gao, Emmanuel Dellandrea, Robert Gaizauskas

Traffic-Sign Detection and Classification in the Wild

Zhe Zhu, Dun Liang, Songhai Zhang, Xiaolei Huang, Baoli Li

When Naive Bayes Nearest Neighbors Meet Convolutional Neural Networks

Ilja Kuzborskij, Fabio Maria Carlucci, Barbara Caputo

Detecting Migrating Birds at Night

Jia-Bin Huang, Rich Caruana, Andrew Farnsworth, Steve Kelling, Narendra Ahuja

Incremental Object Discovery in Time-Varying Image Collections

Theodora Kontogianni, Markus Mathias, Bastian Leibe

Efficient Large-Scale Similarity Search Using Matrix Factorization

Ahmet Iscen, Michael Rabbat, Teddy Furon

Deep Supervised Hashing for Fast Image Retrieval

HaoMiao Liu, Ruiping Wang, Shiguang Shan, Xilin Chen

Efficient Indexing of Billion-Scale Datasets of Deep Descriptors

Artem Babenko, Victor Lempitsky

Aggregating Image and Text Quantized Correlated Components

Thi Quynh Nhi Tran, Herve Le Borgne, Michel Crucianu

Collaborative Quantization for Cross-Modal Similarity Search

Ting Zhang, Jingdong Wang

Efficient Large-Scale Approximate Nearest Neighbor Search on the GPU

Patrick Wieschollek, Oliver Wang, Alexander Sorkine-Hornung, Hendrik P. A. Lensch

Supervised Quantization for Similarity Search

Xiaojuan Wang, Ting Zhang, Guo-Jun Qi, Jinhui Tang, Jingdong Wang

Shortlist Selection With Residual-Aware Distance Estimator for K-Nearest Neighbor Search

Jae-Pil Heo, Zhe Lin, Xiaohui Shen, Jonathan Brandt, Sung-eui Yoon

Improved Hamming Distance Search Using Variable Length Substrings

Eng-Jon Ong, Miroslaw Bober

A Key Volume Mining Deep Framework for Action Recognition

Wangjiang Zhu, Jie Hu, Gang Sun, Xudong Cao, Yu Qiao

A Hierarchical Pose-Based Approach to Complex Action Understanding Using Dictionaries of Actionlets and Motion Poselets

Ivan Lillo, Juan Carlos Niebles, Alvaro Soto

A Hierarchical Deep Temporal Model for Group Activity Recognition

Mostafa S. Ibrahim, Srikanth Muralidharan, Zhiwei Deng, Arash Vahdat, Greg Mori

A Multi-Stream Bi-Directional Recurrent Neural Network for Fine-Grained Action Detection

Bharat Singh, Tim K. Marks, Michael Jones, Oncel Tuzel, Ming Shao

VLAD3: Encoding Dynamics of Deep Features for Action Recognition

Yingwei Li, Weixin Li, Vijay Mahadevan, Nuno Vasconcelos

Learning Activity Progression in LSTMs for Activity Detection and Early Detection

Shugao Ma, Leonid Sigal, Stan Sclaroff

Convolutional Two-Stream Network Fusion for Video Action Recognition

Christoph Feichtenhofer, Axel Pinz, Andrew Zisserman

Discriminative Hierarchical Rank Pooling for Activity Recognition

Basura Fernando, Peter Anderson, Marcus Hutter, Stephen Gould

Fast Temporal Activity Proposals for Efficient Detection of Human Actions in Untrimmed Videos

Fabian Caba Heilbron, Juan Carlos Niebles, Bernard Ghanem

Cascaded Interactional Targeting Network for Egocentric Video Analysis

Yang Zhou, Bingbing Ni, Richang Hong, Xiaokang Yang, Qi Tian

Going Deeper into First-Person Activity Recognition

Minghuang Ma, haoqi fan, Kris M. Kitani

They Are Not Equally Reliable: Semantic Event Search Using Differentiated Concept Classifiers

Xiaojun Chang, Yao-Liang Yu, Yi Yang, Eric P. Xing

Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

Wenzhe Shi, Jose Caballero, Ferenc Huszar, Johannes Totz, Andrew P. Aitken

Seven Ways to Improve Example-Based Single Image Super Resolution

Radu Timofte, Rasmus Rothe, Luc Van Gool

Image Deblurring Using Smartphone Inertial Sensors

Zhe Hu, Lu Yuan, Stephen Lin, Ming-Hsuan Yang

Parametric Object Motion From Blur

Jochen Gast, Anita Sellent, Stefan Roth

PSyCo: Manifold Span Reduction for Super Resolution

Eduardo Pérez-Pellitero, Jordi Salvador, Javier Ruiz-Hidalgo, Bodo Rosenhahn

Blind Image Deconvolution by Automatic Gradient Activation

Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi

A Probabilistic Framework for Color-Based Point Set Registration

Martin Danelljan, Giulia Meneghetti, Fahad Shahbaz Khan, Michael Felsberg

Using Spatial Order to Boost the Elimination of Incorrect Feature Matches

Lior Talker, Yael Moses, Ilan Shimshoni

Efficient Intersection of Three Quadrics and Applications in Computer Vision

Zuzana Kukelova, Jan Heller, Andrew Fitzgibbon

A Direct Least-Squares Solution to the PnP Problem With Unknown Focal Length

Yinqiang Zheng, Laurent Kneip

A Hole Filling Approach Based on Background Reconstruction for View Synthesis in 3D Video

Guibo Luo, Yuesheng Zhu, Zhaotian Li, Liming Zhang

Mirror Surface Reconstruction Under an Uncalibrated Camera

Kai Han, Kwan-Yee K. Wong, Dirk Schnieders, miaomiao Liu

Globally Optimal Manhattan Frame Estimation in Real-Time

Kyungdon Joo, Tae-Hyun Oh, Junsik Kim, In So Kweon

A Consensus-Based Framework for Distributed Bundle Adjustment

Anders Eriksson, John Bastian, Tat-jun Chin, Mats Isaksson

Heterogeneous Light Fields

Maximilian Diebold, Bernd Jahne, Alexander Gatto

Homography Estimation From the Common Self-Polar Triangle of Separate Ellipses

Haifei Huang, Hui Zhang, Yiu-ming Cheung

Optimal Relative Pose With Unknown Correspondences

Johan Fredriksson, Viktor Larsson, Carl Olsson, Fredrik Kahl

Inextensible Non-Rigid Shape-From-Motion by Second-Order Cone Programming

Ajad Chhatkuli, Daniel Pizarro, Toby Collins, Adrien Bartoli

Spatiotemporal Bundle Adjustment for Dynamic 3D Reconstruction

Minh Vo, Srinivasa G. Narasimhan, Yaser Sheikh

A Comparative Study for Single Image Blind Deblurring

Wei-Sheng Lai, Jia-Bin Huang, Zhe Hu, Narendra Ahuja, Ming-Hsuan Yang

Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization

Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu, Shuhang Gu

A Holistic Approach to Cross-Channel Image Noise Modeling and Its Application to Image Denoising

Seonghyeon Nam, Youngbae Hwang, Yasuyuki Matsushita, Seon Joo Kim

Non-Local Image Dehazing

Dana Berman, Tali treibitz, Shai Avidan

Group MAD Competition - A New Methodology to Compare Objective Image Quality Models

Kede Ma, Qingbo Wu, Zhou Wang, Zhengfang Duanmu, Hongwei Yong

RAW Image Reconstruction Using a Self-Contained sRGB-JPEG Image With Only 64 KB Overhead

Rang M. H. Nguyen, Michael S. Brown

Accurate Image Super-Resolution Using Very Deep Convolutional Networks

Jiwon Kim, Jung Kwon Lee, Kyoung Mu Lee

Deeply-Recursive Convolutional Network for Image Super-Resolution

Jiwon Kim, Jung Kwon Lee, Kyoung Mu Lee

Blind Image Deblurring Using Dark Channel Prior

Jinshan Pan, Deqing Sun, Hanspeter Pfister, Ming-Hsuan Yang

Unsupervised Learning of Edges

Yin Li, Manohar Paluri, James M. Rehg, Piotr Dollár

Contour Detection in Unstructured 3D Point Clouds

Timo Hackel, Jan D. Wegner, Konrad Schindler

Do Computational Models Differ Systematically From Human Object Perception?

R. T. Pramod, S. P. Arun

Regularity-Driven Facade Matching Between Aerial and Street Views

Mark Wolff, Robert T. Collins, Yanxi Liu

Large-Scale Location Recognition and the Geometric Burstiness Problem

Torsten Sattler, Michal Havlena, Konrad Schindler, Marc Pollefeys

What's Wrong With That Object? Identifying Images of Unusual Objects by Modelling the Detection Score Distribution

Peng Wang, Lingqiao Liu, Chunhua Shen, Zi Huang, Anton van den Hengel

Towards Open Set Deep Networks

Abhijit Bendale, Terrance E. Boult

Geometry-Informed Material Recognition

Joseph DeGol, Mani Golparvar-Fard, Derek Hoiem

Dense Human Body Correspondences Using Convolutional Networks

Lingyu Wei, Qixing Huang, Duygu Ceylan, Etienne Vouga, Hao Li

3D Semantic Parsing of Large-Scale Indoor Spaces

Iro Armeni, Ozan Sener, Amir R. Zamir, Helen Jiang, Ioannis Brilakis

Three-Dimensional Object Detection and Layout Prediction Using Clouds of Oriented Gradients

Zhile Ren, Erik B. Sudderth

3D Shape Attributes

David F. Fouhey, Abhinav Gupta, Andrew Zisserman

3D Action Recognition From Novel Viewpoints

Hossein Rahmani, Ajmal Mian

Information Bottleneck Learning Using Privileged Information for Visual Recognition

Saeid Motiian, Marco Piccirilli, Donald A. Adjeroh, Gianfranco Doretto

Efficient Training of Very Deep Neural Networks for Supervised Hashing

Ziming Zhang, Yuting Chen, Venkatesh Saligrama

Metric Learning as Convex Combinations of Local Models With Generalization Guarantees

Valentina Zantedeschi, Rémi Emonet, Marc Sebban

Loss Functions for Top-k Error: Analysis and Insights

Maksim Lapin, Matthias Hein, Bernt Schiele

Structured Regression Gradient Boosting

Ferran Diego, Fred A. Hamprecht

Recurrently Target-Attending Tracking

Zhen Cui, Shengtao Xiao, Jiashi Feng, Shuicheng Yan

3D Part-Based Sparse Tracker With Automatic Synchronization and Registration

Adel Bibi, Tianzhu Zhang, Bernard Ghanem

Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking

Martin Danelljan, Gustav Hager, Fahad Shahbaz Khan, Michael Felsberg

Siamese Instance Search for Tracking

Ran Tao, Efstratios Gavves, Arnold W.M. Smeulders

Robust Optical Flow Estimation of Double-Layer Images Under Transparency or Reflection

Jiaolong Yang, Hongdong Li, Yuchao Dai, Robby T. Tan

Staple: Complementary Learners for Real-Time Tracking

Luca Bertinetto, Jack Valmadre, Stuart Golodetz, Ondrej Miksik, Philip H. S. Torr

Online Multi-Object Tracking via Structural Constraint Event Aggregation

Ju Hong Yoon, Chang-Ryeol Lee, Ming-Hsuan Yang, Kuk-Jin Yoon

Determining Occlusions From Space and Time Image Reconstructions

Juan-Manuel Perez-Rua, Tomas Crivelli, Patrick Bouthemy, Patrick Pérez

STCT: Sequentially Training Convolutional Networks for Visual Tracking

Lijun Wang, Wanli Ouyang, Xiaogang Wang, Huchuan Lu

Hierarchical Gaussian Descriptor for Person Re-Identification

Tetsu Matsukawa, Takahiro Okabe, Einoshin Suzuki, Yoichi Sato

Improving Person Re-Identification via Pose-Aware Multi-Shot Matching

Yeong-Jun Cho, Kuk-Jin Yoon