cvpr2015总结

 

cvpr所有文章

http://cs.stanford.edu/people/karpathy/cvpr2015papers/

 

 

CNN

Hypercolumns for Object Segmentation and Fine-Grained Localization
Bharath Hariharan, Pablo Arbeláez, Ross Girshick, Jitendra Malik

Improving Object Detection With Deep Convolutional Networks via Bayesian Optimization and Structured Prediction
Yuting Zhang, Kihyuk Sohn, Ruben Villegas, Gang Pan, Honglak Lee

Going Deeper With Convolutions
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich

Deep Neural Networks Are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Anh Nguyen, Jason Yosinski, Jeff Clune

Deformable Part Models are Convolutional Neural Networks
Ross Girshick, Forrest Iandola, Trevor Darrell, Jitendra Malik

Efficient Object Localization Using Convolutional Networks
Jonathan Tompson, Ross Goroshin, Arjun Jain, Yann LeCun, Christoph Bregler

End-to-End Integration of a Convolution Network, Deformable Parts Model and Non-Maximum Suppression
Li Wan, David Eigen, Rob Fergus

Computing the Stereo Matching Cost With a Convolutional Neural Network
Jure Žbontar, Yann LeCun

Efficient and Accurate Approximations of Nonlinear Convolutional Networks
Xiangyu Zhang, Jianhua Zou, Xiang Ming, Kaiming He, Jian Sun

Deep Visual-Semantic Alignments for Generating Image Descriptions
Andrej Karpathy, Li Fei-Fei

Long-Term Recurrent Convolutional Networks for Visual Recognition and Description
Jeffrey Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Kate Saenko, Trevor Darrell

Fully Convolutional Networks for Semantic Segmentation
Jonathan Long, Evan Shelhamer, Trevor Darrell

Deep Multiple Instance Learning for Image Classification and Auto-Annotation
Jiajun Wu, Yinan Yu, Chang Huang, Kai Yu

Understanding Deep Image Representations by Inverting Them
Aravindh Mahendran, Andrea Vedaldi

Convolutional Neural Networks at Constrained Time Cost
Kaiming He, Jian Sun

3D


DynamicFusion: Reconstruction and Tracking of Non-Rigid Scenes in Real-Time
Richard A. Newcombe, Dieter Fox, Steven M. Seitz

3D Scanning Deformable Objects With a Single RGBD Sensor
Mingsong Dou, Jonathan Taylor, Henry Fuchs, Andrew Fitzgibbon, Shahram Izadi

Direction Matters: Depth Estimation With a Surface Normal Classifier
Christian Häne, Ľubor Ladický, Marc Pollefeys

Designing Deep Networks for Surface Normal Estimation
Xiaolong Wang, David Fouhey, Abhinav Gupta

PAIGE: PAirwise Image Geometry Encoding for Improved Efficiency in Structure-From-Motion
Johannes L. Schönberger, Alexander C. Berg, Jan-Michael Frahm

Category-Specific Object Reconstruction From a Single Image
Abhishek Kar, Shubham Tulsiani, João Carreira, Jitendra Malik

Computing the Stereo Matching Cost With a Convolutional Neural Network
Jure Žbontar, Yann LeCun

Robust Large Scale Monocular Visual SLAM
Guillaume Bourmaud, Rémi Mégret

Reconstructing the World* in Six Days *(As Captured by the Yahoo 100 Million Image Dataset)
Jared Heinly, Johannes L. Schönberger, Enrique Dunn, Jan-Michael Frahm

Inferring 3D Layout of Building Facades From a Single Image
Jiyan Pan, Martial Hebert, Takeo Kanade

Exact Bias Correction and Covariance Estimation for Stereo Vision
Charles Freundlich, Michael Zavlanos, Philippos Mordohai

Deep Convolutional Neural Fields for Depth Estimation From a Single Image
Fayao Liu, Chunhua Shen, Guosheng Lin

Hash

Web Scale Photo Hash Clustering on A Single Machine
Yunchao Gong, Marcin Pawlowski, Fei Yang, Louis Brandy, Lubomir Bourdev, Rob Fergus

Detecion

Expanding Object Detector's Horizon: Incremental Learning Framework for Object Detection in Videos
Alina Kuznetsova, Sung Ju Hwang, Bodo Rosenhahn, Leonid Sigal

Deformable Part Models are Convolutional Neural Networks
Ross Girshick, Forrest Iandola, Trevor Darrell, Jitendra Malik

Efficient Object Localization Using Convolutional Networks
Jonathan Tompson, Ross Goroshin, Arjun Jain, Yann LeCun, Christoph Bregler

End-to-End Integration of a Convolution Network, Deformable Parts Model and Non-Maximum Suppression
Li Wan, David Eigen, Rob Fergus

Unsupervised Object Discovery and Localization in the Wild: Part-Based Matching With Bottom-Up Region Proposals
Minsu Cho, Suha Kwak, Cordelia Schmid, Jean Ponce

Model Recommendation: Generating Object Detectors From Few Samples
Yu-Xiong Wang, Martial Hebert

Learning Scene-Specific Pedestrian Detectors Without Real Data
Hironori Hattori, Vishnu Naresh Boddeti, Kris M. Kitani, Takeo Kanade

Classification

What do 15,000 Object Categories Tell Us About Classifying and Localizing Actions?
Mihir Jain, Jan C. van Gemert, Cees G. M. Snoek

From Categories to Subcategories: Large-Scale Image Classification With Partial Class Label Refinement
Marko Ristin, Juergen Gall, Matthieu Guillaumin, Luc Van Gool

Global Refinement of Random Forest
Shaoqing Ren, Xudong Cao, Yichen Wei, Jian Sun

A Novel Locally Linear KNN Model for Visual Recognition
Qingfeng Liu, Chengjun Liu

Learning From Massive Noisy Labeled Data for Image Classification
Tong Xiao, Tian Xia, Yi Yang, Chang Huang, Xiaogang Wang

Visual Recognition by Learning From Web Data: A Weakly Supervised Domain Generalization Approach
Li Niu, Wen Li, Dong Xu

Optimization&Learning

Graph-Based Simplex Method for Pairwise Energy Minimization With Binary Variables
Daniel Průša

Maximum Persistency via Iterative Relaxed Inference With Graphical Models
Alexander Shekhovtsov, Paul Swoboda, Bogdan Savchynskyy

Efficient Parallel Optimization for Potts Energy With Hierarchical Fusion
Olga Veksler

Global Supervised Descent Method
Xuehan Xiong, Fernando De la Torre

A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs With a Costly Max-Oracle
Neel Shah, Vladimir Kolmogorov, Christoph H. Lampert

Three Viewpoints Toward Exemplar SVM
Takumi Kobayashi

Iteratively Reweighted Graph Cut for Multi-Label MRFs With Non-Convex Priors
Thalaiyasingam Ajanthan, Richard Hartley, Mathieu Salzmann, Hongdong Li

Segmentation&Superpixel

Superpixel Segmentation Using Linear Spectral Clustering
Zhengqin Li, Jiansheng Chen

Real-Time Coarse-to-Fine Topologically Preserving Segmentation
Jian Yao, Marko Boben, Sanja Fidler, Raquel Urtasun

Learning to Segment Moving Objects in Videos
Katerina Fragkiadaki, Pablo Arbeláez, Panna Felsen, Jitendra Malik

Face

Web-Scale Training for Face Identification
Yaniv Taigman, Ming Yang, Marc'Aurelio Ranzato, Lior Wolf

Low-level


Image Partitioning Into Convex Polygons
Liuyun Duan, Florent Lafarge

Fast and Accurate Image Upscaling With Super-Resolution Forests
Samuel Schulter, Christian Leistner, Horst Bischof

L0TV: A New Method for Image Restoration in the Presence of Impulse Noise
Ganzhao Yuan, Bernard Ghanem

Robust Image Filtering Using Joint Static and Dynamic Guidance
Bumsub Ham, Minsu Cho, Jean Ponce

Dataset

A Large-Scale Car Dataset for Fine-Grained Categorization and Verification
Linjie Yang, Ping Luo, Chen Change Loy, Xiaoou Tang