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