---
title: "IEEE Computer Society Conference on Computer Vision and"
description: "All 602 papers of IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2015 · page 3 of 7, the most cited first…"
canonical: "https://research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2015/papers/page/3/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2015/papers/page/3/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [IEEE Computer Society Conference on…](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/) / [2015](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2015/) / [papers](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2015/papers/) / page 3

# IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2015: all accepted papers

602 papers · page 3 of 7 · the most cited first · [← IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2015](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2015/)

[← prev](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2015/papers/page/2/) [1](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2015/papers/) [2](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2015/papers/page/2/) **3** [4](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2015/papers/page/4/) … [7](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2015/papers/page/7/) [next →](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2015/papers/page/4/)

201. **[Real-time coarse-to-fine topologically preserving segmentation ↗](https://doi.org/10.1109/cvpr.2015.7298913)**Jian Yao, Marko Boben, Sanja Fidler et al.*140 citations*
202. **[Deep roto-translation scattering for object classification ↗](https://doi.org/10.1109/cvpr.2015.7298904)**Edouard Oyallon, Stéphane Mallat*138 citations*
203. **[The stitched puppet: A graphical model of 3D human shape and pose ↗](https://doi.org/10.1109/cvpr.2015.7298976)**Silvia Zuffi, Michael J. Black*138 citations*
204. **[3D all the way: Semantic segmentation of urban scenes from start to end in 3D ↗](https://doi.org/10.1109/cvpr.2015.7299075)**Anđelo Martinović, Jan Knopp, Hayko Riemenschneider et al.*135 citations*
205. **[Learning Hypergraph-regularized Attribute Predictors ↗](https://doi.org/10.1109/cvpr.2015.7298638)**Sheng Huang, Mohamed Elhoseiny, Ahmed Elgammal et al.*135 citations*
206. **[Landmarks-based kernelized subspace alignment for unsupervised domain adaptation ↗](https://doi.org/10.1109/cvpr.2015.7298600)**Rahaf Aljundi, Rémi Emonet, Damien Muselet et al.*134 citations*
207. **[A weighted sparse coding framework for saliency detection ↗](https://doi.org/10.1109/cvpr.2015.7299158)**Nianyi Li, Bilin Sun, Jingyi Yu*133 citations*
208. **[Picture: A probabilistic programming language for scene perception ↗](https://doi.org/10.1109/cvpr.2015.7299068)**Tejas D. Kulkarni, Pushmeet Kohli, Joshua B. Tenenbaum et al.*133 citations*
209. **[Fisher vectors meet Neural Networks: A hybrid classification architecture ↗](https://doi.org/10.1109/cvpr.2015.7298998)**Florent Perronnin, Diane Larlus*132 citations*
210. **[Matching-CNN meets KNN: Quasi-parametric human parsing ↗](https://doi.org/10.1109/cvpr.2015.7298748)**Si Liu, Xiaodan Liang, Luoqi Liu et al.*131 citations*
211. **[Scene classification with semantic Fisher vectors ↗](https://doi.org/10.1109/cvpr.2015.7298916)**Mandar Dixit, Si Chen, Dashan Gao et al.*131 citations*
212. **[3D shape estimation from 2D landmarks: A convex relaxation approach ↗](https://doi.org/10.1109/cvpr.2015.7299074)**Xiaowei Zhou, Spyridon Leonardos, Xiaoyan Hu et al.*129 citations*
213. **[segDeepM: Exploiting segmentation and context in deep neural networks for object detection ↗](https://doi.org/10.1109/cvpr.2015.7299102)**Yukun Zhu, Raquel Urtasun, Ruslan Salakhutdinov et al.*129 citations*
214. **[Learning scene-specific pedestrian detectors without real data ↗](https://doi.org/10.1109/cvpr.2015.7299006)**Hironori Hattori, Vishnu Naresh Boddeti, Kris Kitani et al.*127 citations*
215. **[Simultaneous video defogging and stereo reconstruction ↗](https://doi.org/10.1109/cvpr.2015.7299133)**Zhuwen Li, Ping Tan, Robby T. Tan et al.*127 citations*
216. **[Robust camera location estimation by convex programming ↗](https://doi.org/10.1109/cvpr.2015.7298883)**Onur Özyeşil, Amit Singer*126 citations*
217. **[Depth from shading, defocus, and correspondence using light-field angular coherence ↗](https://doi.org/10.1109/cvpr.2015.7298804)**Michael W. Tao, Pratul P. Srinivasan, Jitendra Malik et al.*125 citations*
218. **[On pairwise costs for network flow multi-object tracking ↗](https://doi.org/10.1109/cvpr.2015.7299193)**Visesh Chari, Simon Lacoste-Julien, Ivan Laptev A et al.*125 citations*
219. **[Online sketching hashing ↗](https://doi.org/10.1109/cvpr.2015.7298865)**Cong Leng, Jiaxiang Wu, Jian Cheng et al.*125 citations*
220. **[Watch-n-patch: Unsupervised understanding of actions and relations ↗](https://doi.org/10.1109/cvpr.2015.7299065)**Chenxia Wu, Jiemi Zhang, Silvio Savarese et al.*124 citations*
221. **[Deepshape: Deep learned shape descriptor for 3D shape matching and retrieval ↗](https://doi.org/10.1109/cvpr.2015.7298732)**Jin Xie, Yi Fang, Fan Zhu et al.*123 citations*
222. **[Effective learning-based illuminant estimation using simple features ↗](https://doi.org/10.1109/cvpr.2015.7298702)**Dongliang Cheng, Brian L. Price, Scott D. Cohen et al.*123 citations*
223. **[Efficient illuminant estimation for color constancy using grey pixels ↗](https://doi.org/10.1109/cvpr.2015.7298838)**Kai-Fu Yang, Shaobing Gao, Yongjie Li*123 citations*
224. **[Multi-objective convolutional learning for face labeling ↗](https://doi.org/10.1109/cvpr.2015.7298967)**Sifei Liu, Jimei Yang, Chang Huang et al.*122 citations*
225. **[Visual vibrometry: Estimating material properties from small motions in video ↗](https://doi.org/10.1109/cvpr.2015.7299171)**Abe Davis, Katherine L. Bouman, Justin G. Chen et al.*121 citations*
226. **[Co-saliency detection via looking deep and wide ↗](https://doi.org/10.1109/cvpr.2015.7298918)**Dingwen Zhang, Junwei Han, Chao Li et al.*118 citations*
227. **[From single image query to detailed 3D reconstruction ↗](https://doi.org/10.1109/cvpr.2015.7299148)**Johannes L. Schönberger, Filip Radenović, Ondřej Chum et al.*118 citations*
228. **[Causal video object segmentation from persistence of occlusions ↗](https://doi.org/10.1109/cvpr.2015.7299055)**Brian Taylor, Vasiliy I. Karasev, Stefano Soattoc*116 citations*
229. **[Flying objects detection from a single moving camera ↗](https://doi.org/10.1109/cvpr.2015.7299040)**Artem Rozantsev, Vincent Lepetit, Pascal Fua*115 citations*
230. **[Face alignment using cascade Gaussian process regression trees ↗](https://doi.org/10.1109/cvpr.2015.7299048)**Dong‐Hoon Lee, Hyunsin Park, Chang D. Yoo*112 citations*
231. **[Learning an efficient model of hand shape variation from depth images ↗](https://doi.org/10.1109/cvpr.2015.7298869)**Sameh Khamis, Jonathan Taylor, Jamie Shotton et al.*112 citations*
232. **[SOM: Semantic obviousness metric for image quality assessment ↗](https://doi.org/10.1109/cvpr.2015.7298853)**Peng Zhang, Wengang Zhou, Lei Wu et al.*112 citations*
233. **[Unconstrained realtime facial performance capture ↗](https://doi.org/10.1109/cvpr.2015.7298776)**Pei-Lun Hsieh, Chongyang Ma, Jihun Yu et al.*112 citations*
234. **[Recognize complex events from static images by fusing deep channels ↗](https://doi.org/10.1109/cvpr.2015.7298768)**Yuanjun Xiong, Kai Zhu, Dahua Lin et al.*111 citations*
235. **[A maximum entropy feature descriptor for age invariant face recognition ↗](https://doi.org/10.1109/cvpr.2015.7299166)**Dihong Gong, Zhifeng Li, Dacheng Tao et al.*110 citations*
236. **[Handling motion blur in multi-frame super-resolution ↗](https://doi.org/10.1109/cvpr.2015.7299159)**Ziyang Ma, Renjie Liao, Xin Tao et al.*107 citations*
237. **[Learning semantic relationships for better action retrieval in images ↗](https://doi.org/10.1109/cvpr.2015.7298713)**Vignesh Ramanathan, Congcong Li, Jia Hao Deng et al.*107 citations*
238. **[Pairwise geometric matching for large-scale object retrieval ↗](https://doi.org/10.1109/cvpr.2015.7299151)**Xinchao Li, Martha Larson, Alan Hanjalić*107 citations*
239. **[Target Identity-aware Network Flow for online multiple target tracking ↗](https://doi.org/10.1109/cvpr.2015.7298718)**Afshin Dehghan, Yicong Tian, Philip H. S. Torr et al.*107 citations*
240. **[Traditional saliency reloaded: A good old model in new shape ↗](https://doi.org/10.1109/cvpr.2015.7298603)**Simone Frintrop, Thomas Artur Werner, Germán Martín García*107 citations*
241. **[Discriminant analysis on Riemannian manifold of Gaussian distributions for face recognition with image sets ↗](https://doi.org/10.1109/cvpr.2015.7298816)**Wen Wang, Ruiping Wang, Zhiwu Huang et al.*106 citations*
242. **[Geodesic exponential kernels: When curvature and linearity conflict ↗](https://doi.org/10.1109/cvpr.2015.7298922)**Aasa Feragen, François Lauze, Søren Hauberg*106 citations*
243. **[How many bits does it take for a stimulus to be salient? ↗](https://doi.org/10.1109/cvpr.2015.7299189)**Sayed Hossein Khatoonabadi, Nuno M. Vasconcelos, Ivan V. Bajić et al.*106 citations*
244. **[Leveraging stereo matching with learning-based confidence measures ↗](https://doi.org/10.1109/cvpr.2015.7298605)**Min‐Gyu Park, Kuk‐Jin Yoon*106 citations*
245. **[JOTS: Joint Online Tracking and Segmentation ↗](https://doi.org/10.1109/cvpr.2015.7298835)**Longyin Wen, Dawei Du, Zhen Lei et al.*105 citations*
246. **[RGBD-fusion: Real-time high precision depth recovery ↗](https://doi.org/10.1109/cvpr.2015.7299179)**Roy Or-El, Guy Rosman, Aaron Wetzler et al.*105 citations*
247. **[Tree quantization for large-scale similarity search and classification ↗](https://doi.org/10.1109/cvpr.2015.7299052)**Artem Babenko, Victor Lempitsky*105 citations*
248. **[Light field from micro-baseline image pair ↗](https://doi.org/10.1109/cvpr.2015.7299004)**Zhoutong Zhang, Yebin Liu, Qionghai Dai*104 citations*
249. **[Rent3D: Floor-plan priors for monocular layout estimation ↗](https://doi.org/10.1109/cvpr.2015.7298963)**Chenxi Liu, Alexander Gerhard Schwing, Kaustav Kundu et al.*104 citations*
250. **[Supervised mid-level features for word image representation ↗](https://doi.org/10.1109/cvpr.2015.7298914)**Albert Gordo*104 citations*
251. **[Watch and learn: Semi-supervised learning of object detectors from videos ↗](https://doi.org/10.1109/cvpr.2015.7298982)**Ishan Misra, Abhinav Shrivastava, Martial Hebert*104 citations*
252. **[Background Subtraction via generalized fused lasso foreground modeling ↗](https://doi.org/10.1109/cvpr.2015.7299099)**Bo Xin, Yuan Tian, Yizhou Wang et al.*102 citations*
253. **[Object-based RGBD image co-segmentation with mutex constraint ↗](https://doi.org/10.1109/cvpr.2015.7299072)**Huazhu Fu, Dong Xu, Stephen Lin et al.*101 citations*
254. **[Can humans fly? Action understanding with multiple classes of actors ↗](https://doi.org/10.1109/cvpr.2015.7298839)**Chenliang Xu, Shao-Hang Hsieh, Caiming Xiong et al.*100 citations*
255. **[High-speed hyperspectral video acquisition with a dual-camera architecture ↗](https://doi.org/10.1109/cvpr.2015.7299128)**Lizhi Wang, Zhiwei Xiong, Dahua Gao et al.*100 citations*
256. **[Large-scale damage detection using satellite imagery ↗](https://doi.org/10.1109/cvpr.2015.7298737)**Lionel Gueguen, Raffay Hamid*99 citations*
257. **[Semantic part segmentation using compositional model combining shape and appearance ↗](https://doi.org/10.1109/cvpr.2015.7298788)**Jianyu Wang, Alan Yuille*99 citations*
258. **[Simulating makeup through physics-based manipulation of intrinsic image layers ↗](https://doi.org/10.1109/cvpr.2015.7299093)**Chen Li, Kun Zhou, Stephen Ching-Feng Lin*99 citations*
259. **[Unconstrained 3D face reconstruction ↗](https://doi.org/10.1109/cvpr.2015.7298876)**Joseph Roth, Yiying Tong, Xiaoming Liu*99 citations*
260. **[Video magnification in presence of large motions ↗](https://doi.org/10.1109/cvpr.2015.7299039)**Mohamed A. Elgharib, Mohamed M. Hefeeda, Frédo Durand et al.*99 citations*
261. **[Deep hierarchical parsing for semantic segmentation ↗](https://doi.org/10.1109/cvpr.2015.7298651)**Abhishek Sharma, Oncel Tuzel, David W. Jacobs*97 citations*
262. **[Object detection by labeling superpixels ↗](https://doi.org/10.1109/cvpr.2015.7299146)**Junjie Yan, Yinan Yu, Xiangyu Zhu et al.*97 citations*
263. **[Random tree walk toward instantaneous 3D human pose estimation ↗](https://doi.org/10.1109/cvpr.2015.7298861)**Ho Yub Jung, Soochahn Lee, Yong Seok Heo et al.*97 citations*
264. **[Making better use of edges via perceptual grouping ↗](https://doi.org/10.1109/cvpr.2015.7298795)**Yonggang Qi, Yi-Zhe Song, Tao Xiang et al.*95 citations*
265. **[Data-driven depth map refinement via multi-scale sparse representation ↗](https://doi.org/10.1109/cvpr.2015.7298611)**Hyeokhyen Kwon, Yu‐Wing Tai, Stephen Ching-Feng Lin*93 citations*
266. **[Dense, accurate optical flow estimation with piecewise parametric model ↗](https://doi.org/10.1109/cvpr.2015.7298704)**Jiaolong Yang, Hongdong Li*93 citations*
267. **[Interleaved text/image Deep Mining on a large-scale radiology database ↗](https://doi.org/10.1109/cvpr.2015.7298712)**Hoo-Chang Shin, Le Lü, Lauren Kim et al.*93 citations*
268. **[Elastic functional coding of human actions: From vector-fields to latent variables ↗](https://doi.org/10.1109/cvpr.2015.7298934)**Rushil Anirudh, Pavan K. Turaga, Jingyong Su et al.*92 citations*
269. **[First-person pose recognition using egocentric workspaces ↗](https://doi.org/10.1109/cvpr.2015.7299061)**Grégory Rogez, James Steven Supančič, Deva Ramanan*92 citations*
270. **[Indoor scene structure analysis for single image depth estimation ↗](https://doi.org/10.1109/cvpr.2015.7298660)**Wei Zhuo, Mathieu Salzmann, Xuming He et al.*91 citations*
271. **[Transport-based single frame super resolution of very low resolution face images ↗](https://doi.org/10.1109/cvpr.2015.7299121)**Soheil Kolouri, Gustavo Kunde Rohde*91 citations*
272. **[Understanding image virality ↗](https://doi.org/10.1109/cvpr.2015.7298791)**Arturo Deza, Devi Parikh*91 citations*
273. **[Real-time 3D head pose and facial landmark estimation from depth images using triangular surface patch features ↗](https://doi.org/10.1109/cvpr.2015.7299104)**Chavdar Papazov, Tim K. Marks, Michael Jones*90 citations*
274. **[Riemannian coding and dictionary learning: Kernels to the rescue ↗](https://doi.org/10.1109/cvpr.2015.7299018)**Mehrtash Tafazzoli Harandi, Mathieu Salzmann*90 citations*
275. **[Blur kernel estimation using normalized color-line priors ↗](https://doi.org/10.1109/cvpr.2015.7298601)**Wei‐Sheng Lai, Jian–Jiun Ding, Yen‐Yu Lin et al.*89 citations*
276. **[Good features to track for visual SLAM ↗](https://doi.org/10.1109/cvpr.2015.7298743)**Guangcong Zhang, Patricio Antonio Vela*88 citations*
277. **[VisKE: Visual knowledge extraction and question answering by visual verification of relation phrases ↗](https://doi.org/10.1109/cvpr.2015.7298752)**Fereshteh Sadeghi, Santosh Divvala, Ali Farhadi*88 citations*
278. **[Visual recognition by counting instances: A multi-instance cardinality potential kernel ↗](https://doi.org/10.1109/cvpr.2015.7298875)**Hossein Hajimirsadeghi, Yan Wang, Arash Vahdat et al.*88 citations*
279. **[Book2Movie: Aligning video scenes with book chapters ↗](https://doi.org/10.1109/cvpr.2015.7298792)**Makarand Tapaswi, Martin Bäuml, Rainer Stiefelhagen*87 citations*
280. **[Data-driven sparsity-based restoration of JPEG-compressed images in dual transform-pixel domain ↗](https://doi.org/10.1109/cvpr.2015.7299153)**Xianming Liu, Xiaolin Wu, Jiantao Zhou et al.*87 citations*
281. **[Multi-instance object segmentation with occlusion handling ↗](https://doi.org/10.1109/cvpr.2015.7298969)**Yi-Ting Chen, Xiaokai Liu, Ming–Hsuan Yang*87 citations*
282. **[Solving multiple square jigsaw puzzles with missing pieces ↗](https://doi.org/10.1109/cvpr.2015.7299116)**Genady Paikin, Ayellet Tal*86 citations*
283. **[End-to-end integration of a Convolutional Network, Deformable Parts Model and non-maximum suppression ↗](https://doi.org/10.1109/cvpr.2015.7298686)**Li Wan, David Eigen, Rob Fergus*85 citations*
284. **[Salient Object Subitizing ↗](https://doi.org/10.1109/cvpr.2015.7299031)**Jianming Zhang, Shugao Ma, Mehrnoosh Sameki et al.*84 citations*
285. **[A light transport model for mitigating multipath interference in Time-of-flight sensors ↗](https://doi.org/10.1109/cvpr.2015.7298602)**Nikhil Naik, Achuta Kadambi, Christoph Rhemann et al.*83 citations*
286. **[Sparse depth super resolution ↗](https://doi.org/10.1109/cvpr.2015.7298837)**Jiajun Lu, David Alexander Forsyth*83 citations*
287. **[Sparse projections for high-dimensional binary codes ↗](https://doi.org/10.1109/cvpr.2015.7298954)**Yan Xia, Kaiming He, Pushmeet Kohli et al.*83 citations*
288. **[Web scale photo hash clustering on a single machine ↗](https://doi.org/10.1109/cvpr.2015.7298596)**Yunchao Gong, Marcin Pawlowski, Fei Yang et al.*83 citations*
289. **[On the relationship between visual attributes and convolutional networks ↗](https://doi.org/10.1109/cvpr.2015.7298730)**Victor A Escorcia, Juan Carlos Niebles, Bernard Ghanem*82 citations*
290. **[Unsupervised Simultaneous Orthogonal basis Clustering Feature Selection ↗](https://doi.org/10.1109/cvpr.2015.7299136)**Dongyoon Han, Junmo Kim*82 citations*
291. **[Visual recognition by learning from web data: A weakly supervised domain generalization approach ↗](https://doi.org/10.1109/cvpr.2015.7298894)**Li Niu, Wen Li, Dong Xu*81 citations*
292. **[Bilinear heterogeneous information machine for RGB-D action recognition ↗](https://doi.org/10.1109/cvpr.2015.7298708)**Yu Kong, Yun Fu*80 citations*
293. **[Improving object proposals with multi-thresholding straddling expansion ↗](https://doi.org/10.1109/cvpr.2015.7298874)**Xiaozhi Chen, Huimin Ma, Xiang Wang et al.*80 citations*
294. **[Shadow optimization from structured deep edge detection ↗](https://doi.org/10.1109/cvpr.2015.7298818)**Shen Li, Teck Wee Chua, Karianto Leman*80 citations*
295. **[Functional correspondence by matrix completion ↗](https://doi.org/10.1109/cvpr.2015.7298692)**Artiom Kovnatsky, Michael M. Bronstein, Xavier Bresson et al.*79 citations*
296. **[Multiple instance learning for soft bags via top instances ↗](https://doi.org/10.1109/cvpr.2015.7299056)**Weixin Li, Nuno M. Vasconcelos*79 citations*
297. **[Optimal graph learning with partial tags and multiple features for image and video annotation ↗](https://doi.org/10.1109/cvpr.2015.7299066)**Lianli Gao, Jingkuan Song, Feiping Nie et al.*79 citations*
298. **[DASC: Dense adaptive self-correlation descriptor for multi-modal and multi-spectral correspondence ↗](https://doi.org/10.1109/cvpr.2015.7298822)**Seungryong Kim, Dongbo Min, Bumsub Ham et al.*78 citations*
299. **[Global refinement of random forest ↗](https://doi.org/10.1109/cvpr.2015.7298672)**Shaoqing Ren, Xudong Cao, Yichen Wei et al.*77 citations*
300. **[Interaction part mining: A mid-level approach for fine-grained action recognition ↗](https://doi.org/10.1109/cvpr.2015.7298953)**Yang Zhou, Bingbing Ni, Richang Hong et al.*77 citations*

[← prev](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2015/papers/page/2/) [1](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2015/papers/) [2](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2015/papers/page/2/) **3** [4](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2015/papers/page/4/) … [7](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2015/papers/page/7/) [next →](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2015/papers/page/4/)

- [← back to](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2015/) — IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2015