CVPR2015 Code & Paper Link

공개 코드 링크

Andelo Martinovic et. al.

3D All The Way: Semantic Segmentation of Urban Scenes From Start to End in 3D

https://bitbucket.org/amartino/facade3d

Z. Wu, S. Song, A. Khosla, F. Yu, L. Zhang, X. Tang and J. Xiao

3D ShapeNets: A Deep Representation for Volumetric Shape Modeling

http://3dshapenets.cs.princeton.edu/3DShapeNetsCode.zip

Sebastian Haner, Kalle Åström

Absolute Pose for Cameras Under Flat Refractive Interfaces

http://github.com/sebhaner/refractive_pose

Hae-Gon Jeon, Jaesik Park, Gyeongmin Choe, Jinsun Park, Yunsu Bok, Yu-Wing Tai and In So Kweon

Accurate Depth Map Estimation from a Lenslet Light Field Camera

https://drive.google.com/…/0B2553ggh3QTcS01zU0RjOG5FTjQ/view

Christoph Käding, Alexander Freytag, Erik Rodner, Paul Bodesheim, and Joachim Denzler

Active Learning and Discovery of Object Categories in the Presence of Unnameable Instances

https://github.com/cvjena/

Epameinondas Antonakos, Joan Alabort-i-Medina, Stefanos Zafeiriou

Active Pictorial Structures

http://www.menpo.org/

Fabian Caba Heilbron, Victor Escorcia, Bernard Ghanem and Juan Carlos Niebles

ActivityNet: A Large-Scale Video Benchmark for Human Activity Understanding

http://activity-net.org

David Perra, Rohit Kumar Gupta, Jan-Micheal Frahm

Adaptive Eye-Camera Calibration for Head-Worn Devices

http://cs.unc.edu/~jmf/publications/gaze_release.7z

Neel Shah, Vladimir Kolmogorov and Christoph H. Lampert.

A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs with a Costly max-Oracle

http://pub.ist.ac.at/~vnk/software/SVM-v1.02.zip

Bo Xin, Yuan Tian, Yizhou Wang, Wen Gao

Background Subtraction via Generalized Fused Lasso Foreground Modeling

http://idm.pku.edu.cn/st…/wangyizhou/code/code_bs_cvpr15.rar

Peixian Chen, Naiyan Wang, Nevin L. Zhang, and Dit-Yan Yeung. 

Bayesian adaptive matrix factorization with automatic model selection

http://peixianc.me/amf_codes.zip

Tali Dekel, Shaul Oron, Michael Rubinstein, Shai Avidan, William T. Freeman

Best-Buddies Similarity for Robust Template Matching

http://people.csail.mit.edu/…/BBS_code_and_data_release_v1.…

Balntas, Vassileios and Tang, Lilian and Mikolajczyk, Krystian,

BOLD - Binary Online Learned Descriptor For Efficient Image Matching,

https://github.com/vbalnt/bold

C. Xu, S.-H. Hsieh, C. Xiong, and J. J. Corso. 

Can humans fly? Action understanding with multiple classes of actors

http://web.eecs.umich.edu/~jjcorso/r/a2d/

amélie royer, christoph h. lampert. 

Classifier adaptation at prediction time

http://pub.ist.ac.at/~aroyer/Ressources/CVPR2015/Classifier_Adaptation_At_Prediction_Time_src.zip

Nebehay, Georg and Pflugfelder, Roman

Clustering of Static-Adaptive Correspondences for Deformable Object Tracking

https://github.com/gnebehay/CppMT

Xiao, Yao and Lu, Cewu and Tsougenis, Efstratios and Lu, Yongyi and Tang, Chi-Keung,

Complexity-Adaptive Distance Metric for Object Proposals Generation

http://www.cse.ust.hk/~yxiaoab/cvpr2015/files/Release.zip

Chris Sweeney Laurent Kneip Tobias H¨ollerer Matthew Turk

Computing Similarity Transformations from Only Image Correspondences

http://cs.ucsb.edu/~cmsweeney/theia/

Seungryung Kim, Dongbo Min, Bumsub Ham, Seungchul Ryu, Minh N. Do, and Kwanghoon Sohn,

DASC: Dense Adaptive Self-Correlation Descriptor for Multi-modal and Multi-spectral Correspondence

http://seungryong.github.io/…/DASCdescriptor_CVPR2015_v1.0.…

Nguyen A, Yosinski J, Clune J. 

Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images

https://github.com/Evolving-AI-Lab/fooling

Andrej Karpathy, Li Fei-Fei

Deep Visual-Semantic Alignments for Generating Image Descriptions

https://github.com/karpathy/neuraltalk

Fatma Güney and Andreas Geiger

Displets: Resolving Stereo Ambiguities using Object Knowledge [0]

http://www.cvlibs.net/projects/displets/

J. Dong and S. Soatto. 

Domain-Size Pooling in Local Descriptors: DSP-SIFT

http://vision.ucla.edu/~jingming/proj/dsp/dsp_toolbox_v0.0.2.zip

Wulff and Black, 

Efficient Sparse-to-Dense Optical Flow Estimation using a Learned Basis and Layers

https://github.com/jswulff/pcaflow

Philippe Weinzaepfel, Jerome Revaud, Zaid Harchaoui and Cordelia Schmid

EpicFlow: Edge-Preserving Interpolation of Correspondences for Optical Flow

http://pascal.inrialpes.fr/data2/epicflow/files/EpicFlow_v1.00.zip

Yan Li et. al.

Face Video Retrieval with Image Query via Hashing across Euclidean Space and Riemannian Manifold

http://vipl.ict.ac.cn/resources/codes

Jon Long, Evan Shelhamer, Trevor Darrell

Fully Convolutional Networks for Semantic Segmentation

http://www.cs.berkeley.edu/~jonlong/

Xiangyu Zhu, Zhen Lei, Junjie Yan, Dong Yi, Stan Z. Li, 

High-Fidelity Pose and Expression Normalization for Face Recognition in the Wild

http://www.cbsr.ia.ac.cn/users/xiangyuzhu/projects/HPEN/main.htm

S. H. Khatoonabadi, N. Vasconcelos, I. V. Bajić, and Y. Shan, 

How many bits does it take for a stimulus to be salient?

http://mcl.ensc.sfu.ca/software/kvbs_cvpr2015.rar

http://www.svcl.ucsd.edu/projects/hossein/kvbs_cvpr2015.rar

Yuting Zhang, Kihyuk Sohn, Ruben Villegas, Gang Pan, Honglak Lee, 

Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction

https://github.com/YutingZhang/fgs-obj

Hoo-Chang Shin Le Lu Lauren Kim Ari Seff Jianhua Yao Ronald M. Summers

Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database

https://github.com/rsummers11/CADLab

A. Milan, L. Leal-Taixe, K. Schindler and I. Reid

Joint Tracking and Segmentation of Multiple Targets

https://bitbucket.org/amilan/segtracking

Ganzhao Yuan, and Bernard Ghanem. 

l0TV: A New Method for Image Restoration in the Presence of Impulse Noise

http://yuanganzhao.weebly.com/uploads/1/0/7/5/10759809/l0tv.zip

D. Sun, E. B. Sudderth, and H. Pfister 

Layered RGBD Scene Flow Estimation

http://people.seas.harvard.edu/~dqsun/publication/2015/rgbd_layered_flow_code.zip

Sergey Zagoruyko, Nikos Komodakis, 

Learning to Compare Image Patches via Convolutional Neural Networks

https://github.com/szagoruyko/cvpr15deepcompare

Jeff Donahue et. al.

Long-term Recurrent Convolutional Networks for Visual Recognition and Description,

http://jeffdonahue.com/lrcn/

A. Shekhovtsov, P. Swoboda and B. Savchynskyy

Maximum Persistency via Iterative Relaxed Inference with Graphical Models

http://cmp.felk.cvut.cz/~shekhovt/persistency/

Zhibin Hong, Zhe Chen, Chaohui Wang, Xue Mei, Danil Prokhorov, and Dacheng Tao

MUlti-Store Tracker (MUSTer): a Cognitive Psychology Inspired Approach to Object Tracking

https://sites.google.com/site/multistoretrackermuster/MUSTer_code_v1.1.zip?attredirects=0&d=1

Visesh Chari Simon Lacoste-Julieny Ivan Laptev Josef Sivic

On Pairwise Costs for Network Flow Multi-Object Tracking

https://github.com/viseshchari/TrackingNetFlow

Shengcai Liao, Yang Hu, Xiangyu Zhu, and Stan Z. Li, 

Person Re-identification by Local Maximal Occurrence Representation and Metric Learning

http://www.cbsr.ia.ac.cn/users/scliao/projects/lomo_xqda/

Ijaz Akhter and Michael J. Black

Pose-Conditioned Joint Angle Limits for 3D Human Pose Reconstruction

http://poseprior.is.tue.mpg.de/

G. Tzimiropoulos, 

Project-Out Cascaded Regression with an application to Face Alignment,

https://www.dropbox.com/s/wtiuv36lji6ds60/po_cr_code_v1.zip?dl=0

YiChang Shih, Dilip Krishnan, Fredo Durand, William T. Freeman

Reflection Removal Using Ghosting Cues [0]

https://www.dropbox.com/s/gah3aw…/dereflection_06102015.zip…

B. Ham, M. Cho, J. Ponce

Robust Image Filtering Using Joint Static and Dynamic Guidance

http://www.di.ens.fr/…/sdfil…/code/sdfilter-release-v1.1.zip

Changyang Li, Yuchen Yuan, Weidong Cai1, Yong Xia, and David Dagan Feng

Robust Saliency Detection via Regularized Random Walks Ranking

http://sydney.edu.au/…/~y…/cvpr2015/rrwr_matlab_cvpr2015.zip

W. Wang, J. Shen, F. Porikli, 

Saliency-aware geodesic video object segmentation

https://github.com/shenjianbing/SaliencySeg

Yin Wang, Caglayan Dicle, Mario Sznaier and Octavia Camps

Self Scaled Regularized Robust Regression

http://robustsystems.coe.neu.edu/…/sys…/code/CVPR15_S2R3.zip

Jia-Bin Huang, Abhishek Singh, and Narendra Ahuja, 

Single Image Super-Resolution from Transformed Self-Exemplars

https://github.com/jbhuang0604/SelfExSR

Fang Wang, Le Kang, and Yi Li

Sketch-based 3D Shape Retrieval using Convolutional Neural Networks

http://users.cecs.anu.edu.au/~yili/cnnsbsr/

Julian Straub, Trevor Campbell, Jonathan P. How, John W. Fisher III. 

"Small-Variance Nonparametric Clustering on the Hypersphere"

https://github.com/jstraub/dpMMlowVar

Yan Xia, Kaiming He, Pushmeet Kohli, and Jian Sun

Sparse Projections for High-Dimensional Binary Codes

http://research.microsoft.com/…/people/kahe/cvp…/spbe_v1.zip

Fumin Shen, Chunhua Shen, Wei Liu, Heng Tao Shen, 

"Supervised Discrete Hashing"

https://github.com/bd622/DiscretHashing

Zuffi, Silvia and Black, Michael J.

The Stitched Puppet: A Graphical Model of 3D Human Shape and Pose,

http://stitch.is.tue.mpg.de/pre_download

Y. Verdie, K. M. Yi, P. Fua, and V. Lepetit. 

"TILDE: A Temporally Invariant Learned DEtector.",

https://github.com/kmyid/TILDE/tree/v1.0.1

Abhijit Bendale, Terrance Boult

Towards OpenWorld Recognition

http://vast.uccs.edu/OpenWorld

Simone Frintrop, Thomas Werner, and Germán Martín García

Traditional Saliency Reloaded: A Good Old Model in New Shape 

http://www.iai.uni-bonn.de/~frintrop/vocus2-version1.0.tgz

Aravindh Mahendran and Andrea Vedaldi. 

"Understanding deep image representations by inverting them."

https://github.com/aravindhm/deep-goggle

Joan Alabort-i-Medina1, Stefanos Zafeiriou1

Unifying Holistic and Parts-Based Deformable Model Fitting

http://www.menpo.org/

M. Cho, S. Kwak, C. Schmid, J. Ponce

Unsupervised Object Discovery and Localization in the Wild: Part-based Matching with Bottom-up Region Proposals

http://www.di.ens.fr/w…/research/objectdiscovery/UODL_v1.zip

Chenxia Wu et. al. 

Watch-n-Patch: Unsupervised Understanding of Actions and Relations

http://watchnpatch.cs.cornell.edu/

Fatemeh Shokrollahi Yancheshmeh et. al.

Unsupervised Visual Alignment with Similarity Graphs

https://bitbucket.org/kamara…/image_alignment-code/wiki/Home

공개 예정

 

Yongfang Cheng, Jose A Lopez, Octavia Camps, Mario Sznaier

A Convex Optimization Approach to Robust Fundamental Matrix Estimation

http://robustsystems.coe.neu.edu/?q=content/publications

L. Wang, Y. Qiao, and Xiaoou Tang, 

Action Recognition with Trajectory-Pooled Deep-Convolutional Descriptors,

https://wanglimin.github.io/tdd/index.html

Marcus A. Brubaker, Ali Punjani and David Fleet

"Building Proteins in a Day: Efficient 3D Molecular Reconstruction"

http://www.cs.toronto.edu/~mbrubake/

Ross Girshick Forrest Iandola Trevor Darrell Jitendra Malik

Deformable Part Models are Convolutional Neural Networks

http://www.cs.berkeley.edu/~rbg/

Ching L. Teo, Cornelia Fermüller, Yiannis Aloimonos

Fast 2D Border Ownership Assignment

http://www.umiacs.umd.edu/~cteo/BOWN_SRF/

Saurabh Singh, Derek Hoiem and David Forsyth. 

Learning a Sequential Search for Landmarks 

http://vision.cs.uiuc.edu/projects/lssland/

Paul Wohlhart and Vincent Lepetit

Learning Descriptors for Object Recognition and 3D Pose Estimation

https://cvarlab.icg.tugraz.at/projects/3d_object_detection/

Philippe Weinzaepfel Jerome Revaud Zaid Harchaoui Cordelia Schmid

Learning to Detect Motion Boundaries

http://lear.inrialpes.fr/research/motionboundaries/

Mi Zhang, Jian Yao*, Menghan Xia, Yi Zhang, Kai Li, and Yaping Liu. 

"Line-Based Multiple Label Energy Optimization for Fisheye Image Rectification and Calibration

http://cvrs.whu.edu.cn/projects/FIRC/

Xufeng Han et. at.

MatchNet: Unifying Feature and Metric Learning for Patch-based Matching

http://www.cs.unc.edu/~xufeng/matchnet/

Sean Bell, Paul Upchurch, Noah Snavely, Kavita Bala

Material Recognition in the Wild with the Materials in Context Database

http://opensurfaces.cs.cornell.edu/publications/minc/…

Yu-Wei Chao, Zhan Wang, Rada Mihalcea, and Jia Deng. 

Mining Semantic Affordances of Visual Object Categories

http://www-personal.umich.edu/~ywchao/semantic_affordance/

Moritz Menze and Andreas Geiger

Object Scene Flow for Autonomous Vehicles

http://www.cvlibs.net/projects/objectsceneflow/

Jeong-Kyun Lee and Kuk-Jin Yoon

Real-time Joint Estimation of Camera Orientation and Vanishing Points

https://cvl.gist.ac.kr/…/real-time-joint-estimation-of-came…

Hyung Jin Chang Yiannis Demiris

Unsupervised Learning of Complex Articulated Kinematic Structures combining Motion and Skeleton Information

https://hyungjinchang.wordpress.com/…/kinematic-structure-…/