CVPR 2011: Colorado Springs, CO, USA

• Yingying Zhu, Mark Cox, Simon Lucey:
  3D motion reconstruction for real-world camera motion. 1-8
  
• Dolev Pomeranz, Michal Shemesh, Ohad Ben-Shahar:
  A fully automated greedy square jigsaw puzzle solver. 9-16
  
• Yu Cao, Lili Ju, Qin Zou, Chengzhang Qu, Song Wang:
  A Multichannel Edge-Weighted Centroidal Voronoi Tessellation algorithm for 3D super-alloy image segmentation. 17-24
  
• Yuelei Xie, Hong Chang, Zhe Li, Luhong Liang, Xilin Chen, Debin Zhao:
  A unified framework for locating and recognizing human actions. 25-32
  
• Masashi Nishiyama, Takahiro Okabe, Imari Sato, Yoichi Sato:
  Aesthetic quality classification of photographs based on color harmony. 33-40
  
• Lionel Baboud, Martin Cadík, Elmar Eisemann, Hans-Peter Seidel:
  Automatic photo-to-terrain alignment for the annotation of mountain pictures. 41-48
  
• Junhong Gao, Seon Joo Kim, Michael S. Brown:
  Constructing image panoramas using dual-homography warping. 49-56
  
• Roberto Tron, René Vidal:
  Distributed computer vision algorithms through distributed averaging. 57-63
  
• Reyes Rios-Cabrera, Tinne Tuytelaars, Luc J. Van Gool:
  Efficient multi-camera detection, tracking, and identification using a shared set of haar-features. 65-71
  
• David L. Smith, Jacqueline Field, Erik G. Learned-Miller:
  Enforcing similarity constraints with integer programming for better scene text recognition. 73-80
  
• Zhiwei Zhu, Han-Pang Chiu, Taragay Oskiper, Saad Ali, Raia Hadsell, Supun Samarasekera, Rakesh Kumar:
  High-precision localization using visual landmarks fused with range data. 81-88
  
• Yuanyuan Ding, Jing Xiao, Jingyi Yu:
  Importance filtering for image retargeting. 89-96
  
• Vladimir Bychkovsky, Sylvain Paris, Eric Chan, Frédo Durand:
  Learning photographic global tonal adjustment with a database of input / output image pairs. 97-104
  
• Vladimir Bychkovsky, Sylvain Paris, Eric Chan, Frédo Durand:
  Learning photographic global tonal adjustment with a database of input/output image pairs. 97-104
  
• Daniel Fleck, Zoran Duric:
  Predicting image matching using affine distortion models. 105-112
  
• Filippo Bergamasco, Andrea Albarelli, Emanuele Rodolà, Andrea Torsello:
  RUNE-Tag: A high accuracy fiducial marker with strong occlusion resilience. 113-120
  
• Yiqun Hu, Ajmal S. Mian, Robyn A. Owens:
  Sparse approximated nearest points for image set classification. 121-128
  
• Dirk R. Padfield:
  The magic sigma. 129-136
  
• Ziheng Zhou, Guoying Zhao, Matti Pietikäinen:
  Towards a practical lipreading system. 137-144
  
• Phillip Isola, Jianxiong Xiao, Antonio Torralba, Aude Oliva:
  What makes an image memorable? 145-152
  
• Wenye Ma, Jean-Michel Morel, Stanley Osher, Aichi Chien:
  An L1-based variational model for Retinex theory and its application to medical images. 153-160
  
• Daniel Kurz, Selim Ben Himane:
  Inertial sensor-aligned visual feature descriptors. 161-166
  
• Trevor Owens, Kate Saenko, Ayan Chakrabarti, Ying Xiong, Todd Zickler, Trevor Darrell:
  Learning object color models from multi-view constraints. 169-176
  
• Matthew Brown, Sabine Süsstrunk:
  Multi-spectral SIFT for scene category recognition. 177-184
  
• Cherry Zhang, Imari Sato:
  Separating reflective and fluorescent components of an image. 185-192
  
• Ayan Chakrabarti, Todd Zickler:
  Statistics of real-world hyperspectral images. 193-200
  
• Miguel Oliveira, Angel Domingo Sappa, Vitor Santos:
  Unsupervised local color correction for coarsely registered images. 201-208
  
• Ce Liu, Deqing Sun:
  A Bayesian approach to adaptive video super resolution. 209-216
  
• Yuanyuan Ding, Jing Xiao, Jingyi Yu:
  A theory of multi-perspective defocusing. 217-224
  
• Matthias Grundmann, Vivek Kwatra, Irfan A. Essa:
  Auto-directed video stabilization with robust L1 optimal camera paths. 225-232
  
• Dilip Krishnan, Terence Tay, Rob Fergus:
  Blind deconvolution using a normalized sparsity measure. 233-240
  
• Taeg Sang Cho, Sylvain Paris, Berthold K. P. Horn, William T. Freeman:
  Blur kernel estimation using the radon transform. 241-248
  
• Juan C. Caicedo, Ashish Kapoor, Sing Bing Kang:
  Collaborative personalization of image enhancement. 249-256
  
• Codruta Orniana Ancuti, Cosmin Ancuti, Philippe Bekaert:
  Enhancing by saliency-guided decolorization. 257-264
  
• Rohit Pandharkar, Andreas Velten, Andrew Bardagjy, Everett Lawson, Moungi Bawendi, Ramesh Raskar:
  Estimating Motion and size of moving non-line-of-sight objects in cluttered environments. 265-272
  
• Wen Li, Jun Zhang, Qionghai Dai:
  Exploring aligned complementary image pair for blind motion deblurring. 273-280
  
• Xiaowu Chen, Mengmeng Chen, Xin Jin, Qinping Zhao:
  Face illumination transfer through edge-preserving filters. 281-287
  
• Mushfiqur Rouf, Rafal Mantiuk, Wolfgang Heidrich, Matthew Trentacoste, Cheryl Lau:
  Glare encoding of high dynamic range images. 289-296
  
• Xun Cao, Xin Tong, Qionghai Dai, Stephen Lin:
  High resolution multispectral video capture with a hybrid camera system. 297-304
  
• Huixuan Tang, Neel Joshi, Ashish Kapoor:
  Learning a blind measure of perceptual image quality. 305-312
  
• Michael Rubinstein, Ce Liu, Peter Sand, Frédo Durand, William T. Freeman:
  Motion denoising with application to time-lapse photography. 313-320
  
• Priyam Chatterjee, Neel Joshi, Sing Bing Kang, Yasuyuki Matsushita:
  Noise suppression in low-light images through joint denoising and demosaicing. 321-328
  
• Dikpal Reddy, Ashok Veeraraghavan, Rama Chellappa:
  P2C2: Programmable pixel compressive camera for high speed imaging. 329-336
  
• Philippe Weinzaepfel, Herve Jegou, Patrick Pérez:
  Reconstructing an image from its local descriptors. 337-344
  
• Wen-Yan Lin, Siying Liu, Yasuyuki Matsushita, Tian-Tsong Ng, Loong Fah Cheong:
  Smoothly varying affine stitching. 345-352
  
• Ilya Reshetouski, Alkhazur Manakov, Hans-Peter Seidel, Ivo Ihrke:
  Three-dimensional kaleidoscopic imaging. 353-360
  
• Sanjeev J. Koppal, Ioannis Gkioulekas, Todd Zickler, Geoffrey L. Barrows:
  Wide-angle micro sensors for vision on a tight budget. 361-368
  
• Xiaogang Chen, Xiangjian He, Jie Yang, Qiang Wu:
  An effective document image deblurring algorithm. 369-376
  
• Yuandong Tian, Srinivasa G. Narasimhan:
  Rectification and 3D reconstruction of curved document images. 377-384
  
• Venkata Gopal Edupuganti, Vinayak A. Agarwal, Suryaprakash Kompalli:
  Registration of camera captured documents under non-rigid deformation. 385-392
  
• Xu-Yao Zhang, Cheng-Lin Liu:
  Style transfer matrix learning for writer adaptation. 393-400
  
• Sergey Karayev, Mario Fritz, Sanja Fidler, Trevor Darrell:
  A probabilistic model for recursive factorized image features. 401-408
  
• Ming-Ming Cheng, Guo-Xin Zhang, Niloy J. Mitra, Xiaolei Huang, Shi-Min Hu:
  Global contrast based salient region detection. 409-416
  
• Meng Wang, Janusz Konrad, Prakash Ishwar, Kevin Jing, Henry A. Rowley:
  Image saliency: From intrinsic to extrinsic context. 417-424
  
• Michael Dixon, Austin Abrams, Nathan Jacobs, Robert Pless:
  On analyzing video with very small motions. 425-432
  
• Naila Murray, Maria Vanrell, Xavier Otazu, C. Alejandro Párraga:
  Saliency estimation using a non-parametric low-level vision model. 433-440
  
• Wei Wang, Cheng Chen, Yizhou Wang, Tingting Jiang, Fang Fang, Yuan Yao:
  Simulating human saccadic scanpaths on natural images. 441-448
  
• He He, Wan-Chi Siu:
  Single image super-resolution using Gaussian process regression. 449-456
  
• Weisheng Dong, Xin Li, Lei Zhang, Guangming Shi:
  Sparsity-based image denoising via dictionary learning and structural clustering. 457-464
  
• Antonio Jose Rodríguez-Sánchez, John K. Tsotsos:
  The importance of intermediate representations for the modeling of 2D shape detection: Endstopping and curvature tuned computations. 465-469
  
• Lijuan Duan, Chunpeng Wu, Jun Miao, Laiyun Qing, Yu Fu:
  Visual saliency detection by spatially weighted dissimilarity. 473-480
  
• Chunhui Zhu, Fang Wen, Jian Sun:
  A rank-order distance based clustering algorithm for face tagging. 481-488
  
• Xinxiao Wu, Dong Xu, Lixin Duan, Jiebo Luo:
  Action recognition using context and appearance distribution features. 489-496
  
• Qi Yin, Xiaoou Tang, Jian Sun:
  An associate-predict model for face recognition. 497-504
  
• Ming Yang, Shenghuo Zhu, Fengjun Lv, Kai Yu:
  Correspondence driven adaptation for human profile recognition. 505-512
  
• Wei Zhang, Xiaogang Wang, Xiaoou Tang:
  Coupled information-theoretic encoding for face photo-sketch recognition. 513-520
  
• Ashwin Thangali, Joan P. Nash, Stan Sclaroff, Carol Neidle:
  Exploiting phonological constraints for handshape inference in ASL video. 521-528
  
• Lior Wolf, Tal Hassner, Itay Maoz:
  Face recognition in unconstrained videos with matched background similarity. 529-534
  
• Carlos D. Castillo, David W. Jacobs:
  Wide-baseline stereo for face recognition with large pose variation. 537-544
  
• Peter N. Belhumeur, David W. Jacobs, David J. Kriegman, Neeraj Kumar:
  Localizing parts of faces using a consensus of exemplars. 545-552
  
• Qinfeng Shi, Anders Eriksson, Anton van den Hengel, Chunhua Shen:
  Is face recognition really a Compressive Sensing problem? 553-560
  
• Cong Zhao, Wai-kuen Cham, Xiaogang Wang:
  Joint face alignment with a generic deformable face model. 561-568
  
• Yan Chen, Hujun Bao, Xiaofei He:
  Non-negative local coordinate factorization for image representation. 569-574
  
• Vidit Jain, Erik G. Learned-Miller:
  Online domain adaptation of a pre-trained cascade of classifiers. 577-584
  
• Kuang-Yu Chang, Chu-Song Chen, Yi-Ping Hung:
  Ordinal hyperplanes ranker with cost sensitivities for age estimation. 585-592
  
• Abhishek Sharma, David W. Jacobs:
  Bypassing synthesis: PLS for face recognition with pose, low-resolution and sketch. 593-600
  
• Soma Biswas, Gaurav Aggarwal, Patrick J. Flynn:
  Pose-robust recognition of low-resolution face images. 601-608
  
• Jixu Chen, Qiang Ji:
  Probabilistic gaze estimation without active personal calibration. 609-616
  
• Gabriele Fanelli, Juergen Gall, Luc J. Van Gool:
  Real time head pose estimation with random regression forests. 617-624
  
• Meng Yang, Lei Zhang, Jian Yang, David Zhang:
  Robust sparse coding for face recognition. 625-632
  
• Irene Kotsia, Ioannis Patras:
  Support tucker machines. 633-640
  
• Omar Ocegueda, Shishir K. Shah, Ioannis A. Kakadiaris:
  Which parts of the face give out your identity? 641-648
  
• Wei-Shi Zheng, Shaogang Gong, Tao Xiang:
  Person re-identification by probabilistic relative distance comparison. 649-656
  
• Guodong Guo, Guowang Mu:
  Simultaneous dimensionality reduction and human age estimation via kernel partial least squares regression. 657-664
  
• Chaoying Tang, Adams Wai-Kin Kong, Noah Craft:
  Uncovering vein patterns from color skin images for forensic analysis. 665-672
  
• Alexandros Panagopoulos, Chaohui Wang, Dimitris Samaras, Nikos Paragios:
  Illumination estimation and cast shadow detection through a higher-order graphical model. 673-680
  
• Lu-Hung Chen, Yao-Hsiang Yang, Chu-Song Chen, Ming-Yen Cheng:
  Illumination invariant feature extraction based on natural images statistics - Taking face images as an example. 681-688
  
• Miao Liao, Xinyu Huang, Ruigang Yang:
  Interreflection removal for photometric stereo by using spectrum-dependent albedo. 689-696
  
• Li Shen, Chuohao Yeo:
  Intrinsic images decomposition using a local and global sparse representation of reflectance. 697-704
  
• Mohamed Abdelaziz Ahmed, François Pitié, Anil C. Kokaram:
  Reflection detection in image sequences. 705-712
  
• Mohit Gupta, Amit Agrawal, Ashok Veeraraghavan, Srinivasa G. Narasimhan:
  Structured light 3D scanning in the presence of global illumination. 713-720
  
• Aaron Netz, Margarita Osadchy:
  Using specular highlights as pose invariant features for 2D-3D pose estimation. 721-728
  
• Albert Gordo, Florent Perronnin:
  Asymmetric distances for binary embeddings. 729-736
  
• David M. Chen, Georges Baatz, Kevin Köser, Sam S. Tsai, Ramakrishna Vedantham, Timo Pylvänäinen, Kimmo Roimela, Xin Chen, Jeff Bach, Marc Pollefeys, Bernd Girod, Radek Grzeszczuk:
  City-scale landmark identification on mobile devices. 737-744
  
• Matthijs Douze, Arnau Ramisa, Cordelia Schmid:
  Combining attributes and Fisher vectors for efficient image retrieval. 745-752
  
• Junfeng He, Shih-Fu Chang, Regunathan Radhakrishnan, Claus Bauer:
  Compact hashing with joint optimization of search accuracy and time. 753-760
  
• Yang Cao, Changhu Wang, Liqing Zhang, Lei Zhang:
  Edgel index for large-scale sketch-based image search. 761-768
  
• Brandon M. Smith, Shengqi Zhu, Li Zhang:
  Face image retrieval by shape manipulation. 769-776
  
• Danfeng Qin, Stephan Gammeter, Lukas Bossard, Till Quack, Luc J. Van Gool:
  Hello neighbor: Accurate object retrieval with k-reciprocal nearest neighbors. 777-784
  
• Jia Deng, Alexander C. Berg, Fei-Fei Li:
  Hierarchical semantic indexing for large scale image retrieval. 785-792
  
• Hua Wang, Heng Huang, Chris H. Q. Ding:
  Image annotation using bi-relational graph of images and semantic labels. 793-800
  
• Behjat Siddiquie, Rogério Schmidt Feris, Larry S. Davis:
  Image ranking and retrieval based on multi-attribute queries. 801-808
  
• Yimeng Zhang, Zhaoyin Jia, Tsuhan Chen:
  Image retrieval with geometry-preserving visual phrases. 809-816
  
• Yunchao Gong, Svetlana Lazebnik:
  Iterative quantization: A procrustean approach to learning binary codes. 817-824
  
• Liang Li, Shuqiang Jiang, Qingming Huang:
  Learning image Vicept description via mixed-norm regularization for large scale semantic image search. 825-832
  
• Thomas Mensink, Jakob J. Verbeek, Gabriela Csurka:
  Learning structured prediction models for interactive image labeling. 833-840
  
• Guojun Qi, Qi Tian, Thomas S. Huang:
  Locality-sensitive support vector machine by exploring local correlation and global regularization. 841-848
  
• Wei Liu, Yu-Gang Jiang, Jiebo Luo, Shih-Fu Chang:
  Noise resistant graph ranking for improved web image search. 849-856
  
• Xiaogang Wang, Ke Liu, Xiaoou Tang:
  Query-specific visual semantic spaces for web image re-ranking. 857-864
  
• Gang Yu, Junsong Yuan, Zicheng Liu:
  Unsupervised random forest indexing for fast action search. 865-872
  
• Alexis Joly, Olivier Buisson:
  Random maximum margin hashing. 873-880
  
• Yang Yang, Yi Yang, Zi Huang, Heng Tao Shen, Feiping Nie:
  Tag localization with spatial correlations and joint group sparsity. 881-888
  
• Ondrej Chum, Andrej Mikulík, Michal Perdoch, Jiri Matas:
  Total recall II: Query expansion revisited. 889-896
  
• Guo-Jun Qi, Charu C. Aggarwal, Yong Rui, Qi Tian, Shiyu Chang, Thomas S. Huang:
  Towards cross-category knowledge propagation for learning visual concepts. 897-904
  
• Yin-Hsi Kuo, Hsuan-Tien Lin, Wen-Huang Cheng, Yi-Hsuan Yang, Winston H. Hsu:
  Unsupervised auxiliary visual words discovery for large-scale image object retrieval. 905-912
  
• Shubao Liu, David B. Cooper:
  A complete statistical inverse ray tracing approach to multi-view stereo. 913-920
  
• Fiora Pirri, Matia Pizzoli, Alessandro Rudi:
  A general method for the point of regard estimation in 3D space. 921-928
  
• Adarsh Kowdle, Yao-Jen Chang, Andrew C. Gallagher, Tsuhan Chen:
  Active learning for piecewise planar 3D reconstruction. 929-936
  
• Mandar Dixit, Nikhil Rasiwasia, Nuno Vasconcelos:
  Adapted Gaussian models for image classification. 937-943
  
• Malcolm Reynolds, Jozef Dobos, Leto Peel, Tim Weyrich, Gabriel J. Brostow:
  Capturing Time-of-Flight data with confidence. 945-952
  
• Michael Hornacek, Stefan Maierhofer:
  Extracting vanishing points across multiple views. 953-960
  
• Xinggang Wang, Xiang Bai, Wenyu Liu, Longin Jan Latecki:
  Feature context for image classification and object detection. 961-968
  
• Chenglei Wu, Bennett Wilburn, Yasuyuki Matsushita, Christian Theobalt:
  High-quality shape from multi-view stereo and shading under general illumination. 969-976
  
• Maria Zontak, Michal Irani:
  Internal statistics of a single natural image. 977-984
  
• Jiandong Tian, Yandong Tang:
  Linearity of each channel pixel values from a surface in and out of shadows and its applications. 985-992
  
• Michael Kolomenkin, George Leifman, Ilan Shimshoni, Ayellet Tal:
  Reconstruction of relief objects from line drawings. 993-1000
  
• Yusuke Yoshiyasu, Nobutoshi Yamazaki:
  Topology-adaptive multi-view photometric stereo. 1001-1008
  
• Peng Zhao, Long Quan:
  Translation symmetry detection in a fronto-parallel view. 1009-1016
  
• Maximilian Baust, Anthony J. Yezzi, Gözde B. Ünal, Nassir Navab:
  A Sobolev-type metric for polar active contours. 1017-1024
  
• Shaoting Zhang, Yiqiang Zhan, Maneesh Dewan, Junzhou Huang, Dimitris N. Metaxas, Xiang Sean Zhou:
  Sparse shape composition: A new framework for shape prior modeling. 1025-1032
  
• Seungil Huh, Mei Chen:
  Detection of mitosis within a stem cell population of high cell confluence in phase-contrast microscopy images. 1033-1040
  
• Mohamed E. Hussein, Fatih Porikli, Rui Li, Suayb Arslan:
  CrossTrack: Robust 3D tracking from two cross-sectional views. 1041-1048
  
• Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff:
  Effective 3D object detection and regression using probabilistic segmentation features in CT images. 1049-1056
  
• Dongfeng Han, John E. Bayouth, Qi Song, Sudershan Bhatia, Milan Sonka, Xiaodong Wu:
  Feature guided motion artifact reduction with structure-awareness in 4D CT images. 1057-1064
  
• Bernard Ng, Rafeef Abugharbieh:
  Generalized group sparse classifiers with application in fMRI brain decoding. 1065-1071
  
• Luping Zhou, Yaping Wang, Yang Li, Pew-Thian Yap, Dinggang Shen:
  Hierarchical anatomical brain networks for MCI prediction by partial least square analysis. 1073-1080
  
• François Rousseau, Piotr A. Habas, Colin Studholme:
  Human brain labeling using image similarities. 1081-1088
  
• Uday Kurkure, Yen H. Le, Nikos Paragios, James P. Carson, Tao Ju, Ioannis A. Kakadiaris:
  Landmark/image-based deformable registration of gene expression data. 1089-1096
  
• Wen Wu, Terrence Chen, Peng Wang, Shaohua Kevin Zhou, Dorin Comaniciu, Adrian Barbu, Norbert Strobel:
  Learning-based hypothesis fusion for robust catheter tracking in 2D X-ray fluoroscopy. 1097-1104
  
• Yu Wang, Arunachalam Narayanaswamy, Badrinath Roysam:
  Novel 4-D Open-Curve Active Contour and curve completion approach for automated tree structure extraction. 1105-1112
  
• Hongzhi Wang, Jung Wook Suh, Sandhitsu R. Das, John Pluta, Murat Altinay, Paul A. Yushkevich:
  Regression-based label fusion for multi-atlas segmentation. 1113-1120
  
• Xiaoguang Lu, Terrence Chen, Dorin Comaniciu:
  Robust discriminative wire structure modeling with application to stent enhancement in fluoroscopy. 1121-1127
  
• Yi Fang, Mengtian Sun, S. V. N. Vishwanathan, Karthik Ramani:
  sLLE: Spherical locally linear embedding with applications to tomography. 1129-1136
  
• Ernesto Brau, Damayanthi Dunatunga, Kobus Barnard, Tatsuya Tsukamoto, Ravi Palanivelu, Philip Lee:
  A generative statistical model for tracking multiple smooth trajectories. 1137-1144
  
• Yair Adato, Todd Zickler, Ohad Ben-Shahar:
  A polar representation of motion and implications for optical flow. 1145-1152
  
• Omar Oreifej, Guang Shu, Teresa Pace, Mubarak Shah:
  A two-stage reconstruction approach for seeing through water. 1153-1160
  
• Nan Jiang, Wenyu Liu, Ying Wu:
  Adaptive and discriminative metric differential tracking. 1161-1168
  
• Steve Gu, Carlo Tomasi:
  Branch and track. 1169-1174
  
• Thang Ba Dinh, Nam Vo, Gérard G. Medioni:
  Context tracker: Exploring supporters and distracters in unconstrained environments. 1177-1184
  
• Zheng Wu, Thomas H. Kunz, Margrit Betke:
  Efficient track linking methods for track graphs using network-flow and set-cover techniques. 1185-1192
  
• Thomas Müller, Jens Rannacher, Clemens Rabe, Uwe Franke:
  Feature- and depth-supported modified total variation optical flow for 3D motion field estimation in real scenes. 1193-1200
  
• Hamed Pirsiavash, Deva Ramanan, Charless C. Fowlkes:
  Globally-optimal greedy algorithms for tracking a variable number of objects. 1201-1208
  
• Brian Amberg, Thomas Vetter:
  GraphTrack: Fast and globally optimal tracking in videos. 1209-1216
  
• Cheng-Hao Kuo, Ram Nevatia:
  How does person identity recognition help multi-person tracking? 1217-1224
  
• Yun Zeng, Chaohui Wang, Yang Wang, Xianfeng Gu, Dimitris Samaras, Nikos Paragios:
  Intrinsic dense 3D surface tracking. 1225-1232
  
• Bo Yang, Chang Huang, Ram Nevatia:
  Learning affinities and dependencies for multi-target tracking using a CRF model. 1233-1240
  
• Jean-Sébastien Franco, Edmond Boyer:
  Learning temporally consistent rigidities. 1241-1248
  
• Yebin Liu, Carsten Stoll, Juergen Gall, Hans-Peter Seidel, Christian Theobalt:
  Markerless motion capture of interacting characters using multi-view image segmentation. 1249-1256
  
• Xue Mei, Haibin Ling, Yi Wu, Erik Blasch, Li Bai:
  Minimum error bounded efficient ℓ1 tracker with occlusion detection. 1257-1264
  
• Anton Andriyenko, Konrad Schindler:
  Multi-target tracking by continuous energy minimization. 1265-1272
  
• William Brendel, Mohamed R. Amer, Sinisa Todorovic:
  Multiobject tracking as maximum weight independent set. 1273-1280
  
• Benjamin Sapp, David Weiss, Ben Taskar:
  Parsing human motion with stretchable models. 1281-1288
  
• Francesc Moreno-Noguer, Josep M. Porta:
  Probabilistic simultaneous pose and non-rigid shape recovery. 1289-1296
  
• Jamie Shotton, Andrew W. Fitzgibbon, Mat Cook, Toby Sharp, Mark Finocchio, Richard Moore, Alex Kipman, Andrew Blake:
  Real-time human pose recognition in parts from single depth images. 1297-1304
  
• Hanxi Li, Chunhua Shen, Qinfeng Shi:
  Real-time visual tracking using compressive sensing. 1305-1312
  
• Baiyang Liu, Junzhou Huang, Lin Yang, Casimir A. Kulikowski:
  Robust tracking using local sparse appearance model and K-selection. 1313-1320
  
• Ben Daubney, Xianghua Xie:
  Tracking 3D human pose with large root node uncertainty. 1321-1328
  
• Nan Jiang, Wenyu Liu, Heng Su, Ying Wu:
  Tracking low resolution objects by metric preservation. 1329-1336
  
• Jan Prokaj, Gérard G. Medioni:
  Using 3D scene structure to improve tracking. 1337-1344
  
• Kota Yamaguchi, Alexander C. Berg, Luis E. Ortiz, Tamara L. Berg:
  Who are you with and where are you going? 1345-1352
  
• Marco Pedersoli, Andrea Vedaldi, Jordi Gonzàlez:
  A coarse-to-fine approach for fast deformable object detection. 1353-1360
  
• Tianshi Gao, Benjamin Packer, Daphne Koller:
  A segmentation-aware object detection model with occlusion handling. 1361-1368
  
• Guang Chen, Tony X. Han, Shihong Lao:
  Adapting an object detector by considering the worst case: A conservative approach. 1369-1376
  
• Alexander G. Schwing, Christopher Zach, Yefeng Zheng, Marc Pollefeys:
  Adaptive random forest - How many "experts" to ask before making a decision? 1377-1384
  
• Yi Yang, Deva Ramanan:
  Articulated pose estimation with flexible mixtures-of-parts. 1385-1392
  
• Junge Zhang, Kaiqi Huang, Yinan Yu, Tieniu Tan:
  Boosted local structured HOG-LBP for object localization. 1393-1400
  
• Sudheendra Vijayanarasimhan, Kristen Grauman:
  Efficient region search for object detection. 1401-1408
  
• Senjian An, Patrick Peursum, Wanquan Liu, Svetha Venkatesh:
  Efficient subwindow search with submodular score functions. 1409-1416
  
• Alexander Sibiryakov:
  Fast and high-performance template matching method. 1417-1424
  
• Devi Parikh, C. Lawrence Zitnick:
  Finding the weakest link in person detectors. 1425-1432
  
• Karim Ali, David Hasler, François Fleuret:
  FlowBoost - Appearance learning from sparsely annotated video. 1433-1440
  
• Tianyang Ma, Longin Jan Latecki:
  From partial shape matching through local deformation to robust global shape similarity for object detection. 1441-1448
  
• Sudheendra Vijayanarasimhan, Kristen Grauman:
  Large-scale live active learning: Training object detectors with crawled data and crowds. 1449-1456
  
• Taehee Lee, Stefano Soatto:
  Learning and matching multiscale template descriptors for real-time detection, localization and tracking. 1457-1464
  
• Sam Johnson, Mark Everingham:
  Learning effective human pose estimation from inaccurate annotation. 1465-1472
  
• Leonid Pishchulin, Arjun Jain, Christian Wojek, Mykhaylo Andriluka, Thorsten Thormählen, Bernt Schiele:
  Learning people detection models from few training samples. 1473-1480
  
• Ruslan Salakhutdinov, Antonio Torralba, Joshua B. Tenenbaum:
  Learning to share visual appearance for multiclass object detection. 1481-1488
  
• Markéta Dubská, Adam Herout, Jirí Havel:
  PClines - Line detection using parallel coordinates. 1489-1494
  
• Ziming Zhang, Jonathan Warrell, Philip H. S. Torr:
  Proposal generation for object detection using cascaded ranking SVMs. 1497-1504
  
• Nima Razavi, Juergen Gall, Luc J. Van Gool:
  Scalable multi-class object detection. 1505-1512
  
• Patrick Ott, Mark Everingham:
  Shared parts for deformable part-based models. 1513-1520
  
• Antonio Torralba, Alexei A. Efros:
  Unbiased look at dataset bias. 1521-1528
  
• Helmut Grabner, Juergen Gall, Luc J. Van Gool:
  What makes a chair a chair? 1529-1536
  
• Lingqiao Liu, Lei Wang, Chunhua Shen:
  A generalized probabilistic framework for compact codebook creation. 1537-1544
  
• Roberto Rigamonti, Matthew A. Brown, Vincent Lepetit:
  Are sparse representations really relevant for image classification? 1545-1552
  
• Jaechul Kim, Kristen Grauman:
  Boundary preserving dense local regions. 1553-1560
  
• Joan Bruna, Stéphane Mallat:
  Classification with scattering operators. 1561-1566
  
• Chao-Yeh Chen, Kristen Grauman:
  Clues from the beaten path: Location estimation with bursty sequences of tourist photos. 1569-1576
  
• Bangpeng Yao, Aditya Khosla, Fei-Fei Li:
  Combining randomization and discrimination for fine-grained image categorization. 1577-1584
  
• Zheng Song, Qiang Chen, ZhongYang Huang, Yang Hua, Shuicheng Yan:
  Contextualizing object detection and classification. 1585-1592
  
• Francesc Moreno-Noguer:
  Deformation and illumination invariant feature point descriptor. 1593-1600
  
• Girish Kulkarni, Visruth Premraj, Sagnik Dhar, Siming Li, Yejin Choi, Alexander C. Berg, Tamara L. Berg:
  Baby talk: Understanding and generating simple image descriptions. 1601-1608
  
• Naveen Kulkarni, Baoxin Li:
  Discriminative affine sparse codes for image classification. 1609-1616
  
• Tatsuya Harada, Yoshitaka Ushiku, Yuya Yamashita, Yasuo Kuniyoshi:
  Discriminative spatial pyramid. 1617-1624
  
• Jun Wang, Ying Tan:
  Efficient Euclidean distance transform using perpendicular bisector segmentation. 1625-1632
  
• Jungmin Lee, Minsu Cho, Kyoung Mu Lee:
  Hyper-graph matching via reweighted random walks. 1633-1640
  
• Marcus Rohrbach, Michael Stark, Bernt Schiele:
  Evaluating knowledge transfer and zero-shot learning in a large-scale setting. 1641-1648
  
• Yongzhen Huang, Kaiqi Huang, Chong Wang, Tieniu Tan:
  Exploring relations of visual codes for image classification. 1649-1656
  
• Sagnik Dhar, Vicente Ordonez, Tamara L. Berg:
  High level describable attributes for predicting aesthetics and interestingness. 1657-1664
  
• Jorge Sánchez, Florent Perronnin:
  High-dimensional signature compression for large-scale image classification. 1665-1672
  
• Chunjie Zhang, Jing Liu, Qi Tian, Changsheng Xu, Hanqing Lu, Songde Ma:
  Image classification by non-negative sparse coding, low-rank and sparse decomposition. 1673-1680
  
• Devi Parikh, Kristen Grauman:
  Interactively building a discriminative vocabulary of nameable attributes. 1681-1688
  
• Yuanqing Lin, Fengjun Lv, Shenghuo Zhu, Ming Yang, Timothée Cour, Kai Yu, Liangliang Cao, Thomas S. Huang:
  Large-scale image classification: Fast feature extraction and SVM training. 1689-1696
  
• Zhuolin Jiang, Zhe Lin, Larry S. Davis:
  Learning a discriminative dictionary for sparse coding via label consistent K-SVD. 1697-1704
  
• Yang Wang, Duan Tran, Zicheng Liao:
  Learning hierarchical poselets for human parsing. 1705-1712
  
• Kai Yu, Yuanqing Lin, John D. Lafferty:
  Learning image representations from the pixel level via hierarchical sparse coding. 1713-1720
  
• Yong Jae Lee, Kristen Grauman:
  Learning the easy things first: Self-paced visual category discovery. 1721-1728
  
• Liefeng Bo, Kevin Lai, Xiaofeng Ren, Dieter Fox:
  Object recognition with hierarchical kernel descriptors. 1729-1736
  
• Bing Li, Rong Xiao, Zhiwei Li, Rui Cai, Bao-Liang Lu, Lei Zhang:
  Rank-SIFT: Learning to rank repeatable local interest points. 1737-1744
  
• Mohammad Amin Sadeghi, Ali Farhadi:
  Recognition using visual phrases. 1745-1752
  
• Yongzhen Huang, Kaiqi Huang, Yinan Yu, Tieniu Tan:
  Salient coding for image classification. 1753-1760
  
• Sung Ju Hwang, Fei Sha, Kristen Grauman:
  Sharing features between objects and their attributes. 1761-1768
  
• Zhenxing Niu, Gang Hua, Xinbo Gao, Qi Tian:
  Spatial-DiscLDA for visual recognition. 1769-1776
  
• Thomas Deselaers, Vittorio Ferrari:
  Visual and semantic similarity in ImageNet. 1777-1784
  
• Brian Kulis, Kate Saenko, Trevor Darrell:
  What you saw is not what you get: Domain adaptation using asymmetric kernel transforms. 1785-1792
  
• Rahul Garg, Steven M. Seitz, Deva Ramanan, Noah Snavely:
  Where's Waldo: Matching people in images of crowds. 1793-1800
  
• Paolo Favaro, René Vidal, Avinash Ravichandran:
  A closed form solution to robust subspace estimation and clustering. 1801-1807
  
• Jianping Shi, Xiang Ren, Guang Dai, Jingdong Wang, Zhihua Zhang:
  A non-convex relaxation approach to sparse dictionary learning. 1809-1816
  
• Bogdan Savchynskyy, Jörg H. Kappes, Stefan Schmidt, Christoph Schnörr:
  A study of Nesterov's scheme for Lagrangian decomposition and MAP labeling. 1817-1823
  
• Yinqiang Zheng, Shigeki Sugimoto, Masatoshi Okutomi:
  Deterministically maximizing feasible subsystem for robust model fitting with unit norm constraint. 1825-1832
  
• Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun:
  Distributed message passing for large scale graphical models. 1833-1840
  
• Nikos Komodakis:
  Efficient training for pairwise or higher order CRFs via dual decomposition. 1841-1848
  
• Guillaume Charpiat:
  Exhaustive family of energies minimizable exactly by a graph cut. 1849-1856
  
• Andrew C. Gallagher, Dhruv Batra, Devi Parikh:
  Inference for order reduction in Markov random fields. 1857-1864
  
• Dhruv Batra, Pushmeet Kohli:
  Making the right moves: Guiding alpha-expansion using local primal-dual gaps. 1865-1872
  
• Ehsan Elhamifar, René Vidal:
  Robust classification using structured sparse representation. 1873-1879
  
• Lopamudra Mukherjee, Vikas Singh, Jiming Peng:
  Scale invariant cosegmentation for image groups. 1881-1888
  
• Anton Osokin, Dmitry Vetrov, Vladimir Kolmogorov:
  Submodular decomposition framework for inference in associative Markov networks with global constraints. 1889-1896
  
• Stefanie Jegelka, Jeff Bilmes:
  Submodularity beyond submodular energies: Coupling edges in graph cuts. 1897-1904
  
• Evgeny Strekalovskiy, Daniel Cremers:
  Total variation for cyclic structures: Convex relaxation and efficient minimization. 1905-1911
  
• Taesup Kim, Sebastian Nowozin, Pushmeet Kohli, Chang D. Yoo:
  Variable grouping for energy minimization. 1913-1920
  
• Ruxandra Lasowski, Art Tevs, Michael Wand, Hans-Peter Seidel:
  Wavelet belief propagation for large scale inference problems. 1921-1928
  
• Bing Li, Weihua Xiong, Weiming Hu, Ou Wu:
  Evaluating combinational color constancy methods on real-world images. 1929-1936
  
• Sebastian Brutzer, Benjamin Höferlin, Gunther Heidemann:
  Evaluation of background subtraction techniques for video surveillance. 1937-1944
  
• Andreas Geiger, Martin Lauer, Raquel Urtasun:
  A generative model for 3D urban scene understanding from movable platforms. 1945-1952
  
• Qi-Xing Huang, Mei Han, Bo Wu, Sergey Ioffe:
  A hierarchical conditional random field model for labeling and segmenting images of street scenes. 1953-1960
  
• Abhinav Gupta, Scott Satkin, Alexei A. Efros, Martial Hebert:
  From 3D scene geometry to human workspace. 1961-1968
  
• Juergen Gall, Andrea Fossati, Luc J. Van Gool:
  Functional categorization of objects using real-time markerless motion capture. 1969-1976
  
• Xiao Cai, Feiping Nie, Heng Huang, Farhad Kamangar:
  Heterogeneous image feature integration via multi-modal spectral clustering. 1977-1984
  
• Alessandro Perina, Nebojsa Jojic:
  Image analysis by counting on a grid. 1985-1992
  
• Christian Wojek, Stefan Walk, Stefan Roth, Bernt Schiele:
  Monocular 3D scene understanding with explicit occlusion reasoning. 1993-2000
  
• Xi Chen, Arpit Jain, Abhinav Gupta, Larry S. Davis:
  Piecing together the segmentation jigsaw using context. 2001-2008
  
• Luca Del Pero, Jinyan Guan, Ernesto Brau, Joseph Schlecht, Kobus Barnard:
  Sampling bedrooms. 2009-2016
  
• Nadia Payet, Sinisa Todorovic:
  Scene shape from texture of objects. 2017-2024
  
• Sid Ying-Ze Bao, Silvio Savarese:
  Semantic structure from motion. 2025-2032
  
• Ruiqi Guo, Qieyun Dai, Derek Hoiem:
  Single-image shadow detection and removal using paired regions. 2033-2040
  
• Jin Yu, Tat-Jun Chin, David Suter:
  A global optimization approach to robust multi-model fitting. 2041-2048
  
• Kaiming He, Christoph Rhemann, Carsten Rother, Xiaoou Tang, Jian Sun:
  A global sampling method for alpha matting. 2049-2056
  
• Subhransu Maji, Nisheeth K. Vishnoi, Jitendra Malik:
  Biased normalized cuts. 2057-2064
  
• Ryan Kennedy, Jean H. Gallier, Jianbo Shi:
  Contour cut: Identifying salient contours in images by solving a Hermitian eigenvalue problem. 2065-2072
  
• Katerina Fragkiadaki, Jianbo Shi:
  Detection free tracking: Exploiting motion and topology for segmenting and tracking under entanglement. 2073-2080
  
• Jason Chang, John W. Fisher III:
  Efficient MCMC sampling with implicit shape representations. 2081-2088
  
• Chao Chen, Daniel Freedman, Christoph H. Lampert:
  Enforcing topological constraints in random field image segmentation. 2089-2096
  
• Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, Rama Chellappa:
  Entropy rate superpixel segmentation. 2097-2104
  
• Minglun Gong:
  Foreground segmentation of live videos using locally competing 1SVMs. 2105-2112
  
• Viet Quoc Pham, Keita Takahashi, Takeshi Naemura:
  Foreground-background segmentation using iterated distribution matching. 2113-2120
  
• Akshaya Kumar Mishra, Paul W. Fieguth, David A. Clausi:
  From active contours to active surfaces. 2121-2128
  
• Kai-Yueh Chang, Tyng-Luh Liu, Shang-Hong Lai:
  From co-saliency to co-segmentation: An efficient and fully unsupervised energy minimization model. 2129-2136
  
• Behrooz Nasihatkon, Richard Hartley:
  Graph connectivity in sparse subspace clustering. 2137-2144
  
• Yi Fang, Mengtian Sun, Minhyong Kim, Karthik Ramani:
  Heat-mapping: A robust approach toward perceptually consistent mesh segmentation. 2145-2152
  
• Luca Bertelli, Tianli Yu, Diem Vu, Burak Gokturk:
  Kernelized structural SVM learning for supervised object segmentation. 2153-2160
  
• Ahmad Humayun, Oisin Mac Aodha, Gabriel J. Brostow:
  Learning to find occlusion regions. 2161-2168
  
• Giorgos Sfikas, Christophoros Nikou, Nikolas P. Galatsanos, Christian Heinrich:
  Majorization-minimization mixture model determination in image segmentation. 2169-2176
  
• Boris Flach, Dmitrij Schlesinger:
  Modelling composite shapes by Gibbs random fields. 2177-2182
  
• Victor Adrian Prisacariu, Ian Reid:
  Nonlinear shape manifolds as shape priors in level set segmentation and tracking. 2185-2192
  
• Philip Lee, Ying Wu:
  Nonlocal matting. 2193-2200
  
• Zhiding Yu, Oscar C. Au, Ketan Tang, Chunjing Xu:
  Nonparametric density estimation on a graph: Learning framework, fast approximation and application in image segmentation. 2201-2208
  
• Hongbo Zhou, Qiang Cheng:
  O(N) implicit subspace embedding for unsupervised multi-scale image segmentation. 2209-2215
  
• Sara Vicente, Carsten Rother, Vladimir Kolmogorov:
  Object cosegmentation. 2217-2224
  
• Thomas Brox, Lubomir D. Bourdev, Subhransu Maji, Jitendra Malik:
  Object segmentation by alignment of poselet activations to image contours. 2225-2232
  
• Patrik Sundberg, Thomas Brox, Michael Maire, Pablo Arbelaez, Jitendra Malik:
  Occlusion boundary detection and figure/ground assignment from optical flow. 2233-2240
  
• Honghui Zhang, Tian Fang, Xiaowu Chen, Qinping Zhao, Long Quan:
  Partial similarity based nonparametric scene parsing in certain environment. 2241-2248
  
• Xiaobai Liu, Jiashi Feng, Shuicheng Yan, Liang Lin, Hai Jin:
  Segment an image by looking into an image corpus. 2249-2256
  
• Ignas Budvytis, Vijay Badrinarayanan, Roberto Cipolla:
  Semi-supervised video segmentation using tree structured graphical models. 2257-2264
  
• Yihang Bo, Charless C. Fowlkes:
  Shape-based pedestrian parsing. 2265-2272
  
• Olivier Teboul, Iasonas Kokkinos, Loïc Simon, Panagiotis Koutsourakis, Nikos Paragios:
  Shape grammar parsing via Reinforcement Learning. 2273-2280
  
• Alex Shyr, Trevor Darrell, Michael I. Jordan, Raquel Urtasun:
  Supervised hierarchical Pitman-Yor process for natural scene segmentation. 2281-2288
  
• Toufiq Parag, Ahmed M. Elgammal:
  Supervised hypergraph labeling. 2289-2296
  
• Mu Li, Xiao-Chen Lian, James T. Kwok, Bao-Liang Lu:
  Time and space efficient spectral clustering via column sampling. 2297-2304
  
• Kevin Streib, James W. Davis:
  Using Ripley's K-function to improve graph-based clustering techniques. 2305-2312
  
• Dheeraj Singaraju, René Vidal:
  Using global bag of features models in random fields for joint categorization and segmentation of objects. 2313-2319
  
• Zhengdong Zhang, Yasuyuki Matsushita, Yi Ma:
  Camera calibration with lens distortion from low-rank textures. 2321-2328
  
• Rei Kawakami, Yasuyuki Matsushita, John Wright, Moshe Ben-Ezra, Yu-Wing Tai, Katsushi Ikeuchi:
  High-resolution hyperspectral imaging via matrix factorization. 2329-2336
  
• Joon-Young Lee, Boxin Shi, Yasuyuki Matsushita, In-So Kweon, Katsushi Ikeuchi:
  Radiometric calibration by transform invariant low-rank structure. 2337-2344
  
• Yu Cao, Zhiqi Zhang, Irina Czogiel, Ian Dryden, Song Wang:
  2D nonrigid partial shape matching using MCMC and contour subdivision. 2345-2352
  
• Anne Jorstad, David Jacobs, Alain Trouvé:
  A deformation and lighting insensitive metric for face recognition based on dense correspondences. 2353-2360
  
• Dan Raviv, Michael M. Bronstein, Alexander M. Bronstein, Ron Kimmel, Nir A. Sochen:
  Affine-invariant diffusion geometry for the analysis of deformable 3D shapes. 2361-2367
  
• Xingwei Yang, Longin Jan Latecki:
  Affinity learning on a tensor product graph with applications to shape and image retrieval. 2369-2376
  
• Bin Fan, Fuchao Wu, Zhanyi Hu:
  Aggregating gradient distributions into intensity orders: A novel local image descriptor. 2377-2384
  
• Daniel Glasner, Shiv Naga Prasad Vitaladevuni, Ronen Basri:
  Contour-based joint clustering of multiple segmentations. 2385-2392
  
• Weiyu Zhang, Praveen Srinivasan, Jianbo Shi:
  Discriminative image warping with attribute flow. 2393-2400
  
• Kirill A. Sidorov, Stephen Richmond, David Marshall:
  Efficient groupwise non-rigid registration of textured surfaces. 2401-2408
  
• Daniel Pizarro, Adrien Bartoli:
  Global optimization for optimal generalized procrustes analysis. 2409-2415
  
• Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano:
  Graph matching through entropic manifold alignment. 2417-2424
  
• Behzad Kamgar-Parsi, Behrooz Kamgar-Parsi:
  Matching 2D image lines to 3D models: Two improvements and a new algorithm. 2425-2432
  
• Huayan Wang, Daphne Koller:
  Multi-level inference by relaxed dual decomposition for human pose segmentation. 2433-2440
  
• Andrea Torsello, Emanuele Rodolà, Andrea Albarelli:
  Multiview registration via graph diffusion of dual quaternions. 2441-2448
  
• Effrosini Kokiopoulou, Daniel Kressner, Michail Zervos, Nikos Paragios:
  Optimal similarity registration of volumetric images. 2449-2456
  
• Wei Zeng, Xianfeng David Gu:
  Registration for 3D surfaces with large deformations using quasi-conformal curvature flow. 2457-2464
  
• Jeroen Hermans, Dirk Smeets, Dirk Vandermeulen, Paul Suetens:
  Robust point set registration using EM-ICP with information-theoretically optimal outlier handling. 2465-2472
  
• Hao Jiang, Tai-Peng Tian, Stan Sclaroff:
  Scale and rotation invariant matching using linearly augmented trees. 2473-2480
  
• Avinash Sharma, Radu Horaud, Jan Cech, Edmond Boyer:
  Topologically-robust 3D shape matching based on diffusion geometry and seed growing. 2481-2488
  
• Qian-Yi Zhou, Ulrich Neumann:
  2.5D building modeling with topology control. 2489-2496
  
• Xavier Maurice, Pierre Graebling, Christophe Doignon:
  A pattern framework driven by the Hamming distance for structured light-based reconstruction with a single image. 2497-2504
  
• Manmohan Krishna Chandraker, Jiamin Bai, Ravi Ramamoorthi:
  A theory of differential photometric stereo for unknown isotropic BRDFs. 2505-2512
  
• Sai Kit Yeung, Tai-Pang Wu, Chi-Keung Tang, Tony F. Chan, Stanley Osher:
  Adequate reconstruction of transparent objects on a shoestring budget. 2513-2520
  
• Jonathan T. Barron, Jitendra Malik:
  High-frequency shape and albedo from shading using natural image statistics. 2521-2528
  
• Matthew Harker, Paul O'Leary:
  Least squares surface reconstruction from gradients: Direct algebraic methods with spectral, Tikhonov, and constrained regularization. 2529-2536
  
• Jonathan Balzer, Sebastian Höfer, Jürgen Beyerer:
  Multiview specular stereo reconstruction of large mirror surfaces. 2537-2544
  
• Marshall F. Tappen:
  Recovering shape from a single image of a mirrored surface from curvature constraints. 2545-2552
  
• Micah K. Johnson, Edward H. Adelson:
  Shape estimation in natural illumination. 2553-2560
  
• Yuriy Vasilyev, Todd Zickler, Steven J. Gortler, Ohad Ben-Shahar:
  Shape from specular flow: Is one flow enough? 2561-2568
  
• Yali Zheng, Shohei Nobuhara, Yaser Sheikh:
  Structure from motion blur in low light. 2569-2576
  
• Tianfan Xue, Jianzhuang Liu, Xiaoou Tang:
  Symmetric piecewise planar object reconstruction from a single image. 2577-2584
  
• Chunhua Shen, Zhihui Hao:
  A direct formulation for totally-corrective multi-class boosting. 2585-2592
  
• Subhabrata Bhattacharya, Rahul Sukthankar, Rong Jin, Mubarak Shah:
  A probabilistic representation for efficient large scale visual recognition tasks. 2593-2600
  
• Chunhua Shen, Junae Kim, Lei Wang:
  A scalable dual approach to semidefinite metric learning. 2601-2608
  
• Yadong Mu, Jian Dong, Xiaotong Yuan, Shuicheng Yan:
  Accelerated low-rank visual recovery by random projection. 2609-2616
  
• Jinbo Bi, Dijia Wu, Le Lu, Meizhu Liu, Yimo Tao, Matthias Wolf:
  AdaBoost on low-rank PSD matrices for metric learning. 2617-2624
  
• Uwe Schmidt, Kevin Schelten, Stefan Roth:
  Bayesian deblurring with integrated noise estimation. 2625-2632
  
• Yunchao Gong, Svetlana Lazebnik:
  Comparing data-dependent and data-independent embeddings for classification and ranking of Internet images. 2633-2640
  
• Kevin Schelten, Stefan Roth:
  Connecting non-quadratic variational models and MRFs. 2641-2648
  
• Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan:
  Dynamic batch mode active learning. 2649-2656
  
• Anat Levin, Yair Weiss, Frédo Durand, William T. Freeman:
  Efficient marginal likelihood optimization in blind deconvolution. 2657-2664
  
• Carolina Galleguillos, Brian McFee, Serge Belongie, Gert R. G. Lanckriet:
  From region similarity to category discovery. 2665-2672
  
• Oscar M. Danielsson, Babak Rasolzadeh, Stefan Carlsson:
  Gated classifiers: Boosting under high intra-class variation. 2673-2680
  
• Antoni B. Chan, Daxiang Dong:
  Generalized Gaussian process models. 2681-2688
  
• Sushil Mittal, Saket Anand, Peter Meer:
  Generalized projection based M-estimator: Theory and applications. 2689-2696
  
• Jiashi Feng, Bingbing Ni, Qi Tian, Shuicheng Yan:
  Geometric ℓp-norm feature pooling for image classification. 2697-2704
  
• Mehrtash Tafazzoli Harandi, Conrad Sanderson, Sareh Abolahrari Shirazi, Brian C. Lovell:
  Graph embedding discriminant analysis on Grassmannian manifolds for improved image set matching. 2705-2712
  
• Xiong Li, Tai Sing Lee, Yuncai Liu:
  Hybrid generative-discriminative classification using posterior divergence. 2713-2720
  
• Patrick S. Li, Inmar E. Givoni, Brendan J. Frey:
  Learning better image representations using 'flobject analysis'. 2721-2728
  
• Graham W. Taylor, Ian Spiro, Christoph Bregler, Rob Fergus:
  Learning invariance through imitation. 2729-2736
  
• Stéphane Ross, Daniel Munoz, Martial Hebert, J. Andrew Bagnell:
  Learning message-passing inference machines for structured prediction. 2737-2744
  
• Jian Sun, Marshall F. Tappen:
  Learning non-local range Markov Random field for image restoration. 2745-2752
  
• Christian Leistner, Martin Godec, Samuel Schulter, Amir Saffari, Manuel Werlberger, Horst Bischof:
  Improving classifiers with unlabeled weakly-related videos. 2753-2760
  
• Dong Huang, Yuandong Tian, Fernando De la Torre:
  Local isomorphism to solve the pre-image problem in kernel methods. 2761-2768
  
• Raghuraman Gopalan, Jagan Sankaranarayanan:
  Max-margin clustering: Detecting margins from projections of points on lines. 2769-2776
  
• Junsong Yuan, Ming Yang, Ying Wu:
  Mining discriminative co-occurrence patterns for visual recognition. 2777-2784
  
• Sylvain Takerkart, Liva Ralaivola:
  MKPM: A multiclass extension to the kernel projection machine. 2785-2791
  
• Joshua Susskind, Geoffrey E. Hinton, Roland Memisevic, Marc Pollefeys:
  Modeling the joint density of two images under a variety of transformations. 2793-2800
  
• Serhat Selcuk Bucak, Rong Jin, Anil K. Jain:
  Multi-label learning with incomplete class assignments. 2801-2808
  
• Shenghua Gao, Liang-Tien Chia, Ivor Wai-Hung Tsang:
  Multi-layer group sparse coding - For concurrent image classification and annotation. 2809-2816
  
• Sung Won Park, Marios Savvides:
  Multifactor analysis based on factor-dependent geometry. 2817-2824
  
• Guangliang Chen, Mauro Maggioni:
  Multiscale geometric and spectral analysis of plane arrangements. 2825-2832
  
• Anat Levin, Boaz Nadler:
  Natural image denoising: Optimality and inherent bounds. 2833-2840
  
• Mithun Das Gupta, Jing Xiao:
  Non-negative matrix factorization as a feature selection tool for maximum margin classifiers. 2841-2848
  
• Ran He, Wei-Shi Zheng, Bao-Gang Hu, Xiang-Wei Kong:
  Nonnegative sparse coding for discriminative semi-supervised learning. 2849-2856
  
• Marc'Aurelio Ranzato, Joshua Susskind, Volodymyr Mnih, Geoffrey E. Hinton:
  On deep generative models with applications to recognition. 2857-2864
  
• Zoltán Szabó, Barnabás Póczos, András Lörincz:
  Online group-structured dictionary learning. 2865-2872
  
• Xingwei Yang, Nagesh Adluru, Longin Jan Latecki:
  Particle filter with state permutations for solving image jigsaw puzzles. 2873-2880
  
• Jason Saragih:
  Principal regression analysis. 2881-2888
  
• Ran He, Zhenan Sun, Tieniu Tan, Wei-Shi Zheng:
  Recovery of corrupted low-rank matrices via half-quadratic based nonconvex minimization. 2889-2896
  
• Meizhu Liu, Baba C. Vemuri:
  Robust and efficient regularized boosting using total Bregman divergence. 2897-2902
  
• Deng Cai, Hujun Bao, Xiaofei He:
  Sparse concept coding for visual analysis. 2905-2910
  
• Louise Benoît, Julien Mairal, Francis Bach, Jean Ponce:
  Sparse image representation with epitomes. 2913-2920
  
• Dong Huang, Markus Storer, Fernando De la Torre, Horst Bischof:
  Supervised local subspace learning for continuous head pose estimation. 2921-2928
  
• Mohammad J. Saberian, Hamed Masnadi-Shirazi, Nuno Vasconcelos:
  TaylorBoost: First and second-order boosting algorithms with explicit margin control. 2929-2934
  
• Justin Domke:
  Parameter learning with truncated message-passing. 2937-2943
  
• Huu-Giao Nguyen, Ronan Fablet, Jean-Marc Boucher:
  Visual textures as realizations of multivariate log-Gaussian Cox processes. 2945-2952
  
• Yinqiang Zheng, Shigeki Sugimoto, Masatoshi Okutomi:
  A branch and contract algorithm for globally optimal fundamental matrix estimation. 2953-2960
  
• Olof Enqvist, Fangyuan Jiang, Fredrik Kahl:
  A brute-force algorithm for reconstructing a scene from two projections. 2961-2968
  
• Laurent Kneip, Davide Scaramuzza, Roland Siegwart:
  A novel parametrization of the perspective-three-point problem for a direct computation of absolute camera position and orientation. 2969-2976
  
• Ji Zhao, Jiayi Ma, Jinwen Tian, Jie Ma, Dazhi Zhang:
  A robust method for vector field learning with application to mismatch removing. 2977-2984
  
• Michael Holroyd, Jason Lawrence:
  An analysis of using high-frequency sinusoidal illumination to measure the 3D shape of translucent objects. 2985-2991
  
• Amit Agrawal, Yuichi Taguchi, Srikumar Ramalingam:
  Beyond Alhazen's problem: Analytical projection model for non-central catadioptric cameras with quadric mirrors. 2993-3000
  
• David J. Crandall, Andrew Owens, Noah Snavely, Dan Huttenlocher:
  Discrete-continuous optimization for large-scale structure from motion. 3001-3008
  
• Chris Russell, João Fayad, Lourdes de Agapito:
  Energy based multiple model fitting for non-rigid structure from motion. 3009-3016
  
• Christoph Rhemann, Asmaa Hosni, Michael Bleyer, Carsten Rother, Margrit Gelautz:
  Fast cost-volume filtering for visual correspondence and beyond. 3017-3024
  
• Maxime Lhuillier:
  Fusion of GPS and structure-from-motion using constrained bundle adjustments. 3025-3032
  
• Liang Wang, Ruigang Yang:
  Global stereo matching leveraged by sparse ground control points. 3033-3040
  
• Richard I. Hartley, Khurrum Aftab, Jochen Trumpf:
  L1 rotation averaging using the Weiszfeld algorithm. 3041-3048
  
• Ali Elqursh, Ahmed M. Elgammal:
  Line-based relative pose estimation. 3049-3056
  
• Changchang Wu, Sameer Agarwal, Brian Curless, Steven M. Seitz:
  Multicore bundle adjustment. 3057-3064
  
• Paulo F. U. Gotardo, Aleix M. Martinez:
  Non-rigid structure from motion with complementary rank-3 spaces. 3065-3072
  
• Mohamed Tamaazousti, Vincent Gay-Bellile, Sylvie Naudet-Collette, Steve Bourgeois, Michel Dhome:
  NonLinear refinement of structure from motion reconstruction by taking advantage of a partial knowledge of the environment. 3073-3080
  
• Michael Bleyer, Carsten Rother, Pushmeet Kohli, Daniel Scharstein, Sudipta Sinha:
  Object stereo - Joint stereo matching and object segmentation. 3081-3088
  
• Miles E. Hansard, Radu Horaud, Michel Amat, Seungkyu Lee:
  Projective alignment of range and parallax data. 3089-3096
  
• Antonio L. Rodríguez, Pedro E. López-de-Teruel, Alberto Ruiz:
  Reduced epipolar cost for accelerated incremental SfM. 3097-3104
  
• Branislav Micusík:
  Relative pose problem for non-overlapping surveillance cameras with known gravity vector. 3105-3112
  
• Changchang Wu, Jan-Michael Frahm, Marc Pollefeys:
  Repetition-based dense single-view reconstruction. 3113-3120
  
• Michal Jancosek, Tomás Pajdla:
  Multi-view reconstruction preserving weakly-supported surfaces. 3121-3128
  
• Jan Cech, Jordi Sanchez-Riera, Radu Horaud:
  Scene flow estimation by growing correspondence seeds. 3129-3136
  
• Richard Roberts, Sudipta N. Sinha, Richard Szeliski, Drew Steedly:
  Structure from motion for scenes with large duplicate structures. 3137-3144
  
• Srikumar Ramalingam, Sofien Bouaziz, Peter F. Sturm, Philip H. S. Torr:
  The light-path less traveled. 3145-3152
  
• Sangmin Oh, Anthony Hoogs, A. G. Amitha Perera, Naresh P. Cuntoor, Chia-Chih Chen, Jong Taek Lee, Saurajit Mukherjee, J. K. Aggarwal, Hyungtae Lee, Larry Davis, Eran Swears, Xioyang Wang, Qiang Ji, Kishore K. Reddy, Mubarak Shah, Carl Vondrick, Hamed Pirsiavash, Deva Ramanan, Jenny Yuen, Antonio Torralba, Bi Song, Anesco Fong, Amit K. Roy Chowdhury, Mita Desai:
  A large-scale benchmark dataset for event recognition in surveillance video. 3153-3160
  
• Xinyi Cui, Qingshan Liu, Mingchen Gao, Dimitris N. Metaxas:
  Abnormal detection using interaction energy potentials. 3161-3167
  
• Heng Wang, Alexander Kläser, Cordelia Schmid, Cheng-Lin Liu:
  Action recognition by dense trajectories. 3169-3176
  
• Subhransu Maji, Lubomir D. Bourdev, Jitendra Malik:
  Action recognition from a distributed representation of pose and appearance. 3177-3184
  
• Jiang Wang, Zhuoyuan Chen, Ying Wu:
  Action recognition with multiscale spatio-temporal contexts. 3185-3192
  
• Binlong Li, Mustafa Ayazoglu, Teresa Mao, Octavia I. Camps, Mario Sznaier:
  Activity recognition using dynamic subspace angles. 3193-3200
  
• Adrien Gaidon, Zaïd Harchaoui, Cordelia Schmid:
  Actom sequence models for efficient action detection. 3201-3208
  
• Jingen Liu, Mubarak Shah, Benjamin Kuipers, Silvio Savarese:
  Cross-view action recognition via view knowledge transfer. 3209-3216
  
• Weilong Yang, George Toderici:
  Discriminative tag learning on YouTube videos with latent sub-tags. 3217-3224
  
• Gloria Zen, Elisa Ricci:
  Earth mover's prototypes: A convex learning approach for discovering activity patterns in dynamic scenes. 3225-3232
  
• Rémi Emonet, Jagannadan Varadarajan, Jean-Marc Odobez:
  Extracting and locating temporal motifs in video scenes using a hierarchical non parametric Bayesian model. 3233-3240
  
• Kris Makoto Kitani, Takahiro Okabe, Yoichi Sato, Akihiro Sugimoto:
  Fast unsupervised ego-action learning for first-person sports videos. 3241-3248
  
• Wei-Lwun Lu, Jo-Anne Ting, Kevin P. Murphy, James J. Little:
  Identifying players in broadcast sports videos using conditional random fields. 3249-3256
  
• Liang Wang, Yizhou Wang, Tingting Jiang, Wen Gao:
  Instantly telling what happens in a video sequence using simple features. 3257-3264
  
• Minh Hoai Nguyen, Zhen-Zhong Lan, Fernando De la Torre:
  Joint segmentation and classification of human actions in video. 3265-3272
  
• Wongun Choi, Khuram Shahid, Silvio Savarese:
  Learning context for collective activity recognition. 3273-3280
  
• Alireza Fathi, Xiaofeng Ren, James M. Rehg:
  Learning to recognize objects in egocentric activities. 3281-3288
  
• Vlad I. Morariu, Larry S. Davis:
  Multi-agent event recognition in structured scenarios. 3289-3296
  
• Omid Aghazadeh, Josephine Sullivan, Stefan Carlsson:
  Novelty detection from an ego-centric perspective. 3297-3304
  
• Anwaar-ul Haq, Iqbal Gondal, Manzur Murshed:
  On dynamic scene geometry for view-invariant action matching. 3305-3312
  
• Bin Zhao, Fei-Fei Li, Eric P. Xing:
  Online detection of unusual events in videos via dynamic sparse coding. 3313-3320
  
• Du Tran, Junsong Yuan:
  Optimal spatio-temporal path discovery for video event detection. 3321-3328
  
• William Brendel, Alan Fern, Sinisa Todorovic:
  Probabilistic event logic for interval-based event recognition. 3329-3336
  
• Jingen Liu, Benjamin Kuipers, Silvio Savarese:
  Recognizing human actions by attributes. 3337-3344
  
• Suha Kwak, Bohyung Han, Joon Hee Han:
  Scenario-based video event recognition by constraint flow. 3345-3352
  
• Oded Shahar, Alon Faktor, Michal Irani:
  Space-time super-resolution from a single video. 3353-3360
  
• Quoc V. Le, Will Y. Zou, Serena Y. Yeung, Andrew Y. Ng:
  Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis. 3361-3368
  
• J. Lezama, Karteek Alahari, Josef Sivic, Ivan Laptev:
  Track to the future: Spatio-temporal video segmentation with long-range motion cues. 3369-3376
  
• Chao Liang, Changsheng Xu, Jian Cheng, Hanqing Lu:
  TVParser: An automatic TV video parsing method. 3377-3384
  
• Ákos Utasi, Csaba Benedek:
  A 3-D marked point process model for multi-view people detection. 3385-3392
  
• Xin Sun, Hongxun Yao, Shengping Zhang:
  A novel supervised level set method for non-rigid object tracking. 3393-3400
  
• Meng Wang, Xiaogang Wang:
  Automatic adaptation of a generic pedestrian detector to a specific traffic scene. 3401-3408
  
• Tao Yang, Yanning Zhang, Xiaomin Tong, Xiaoqiang Zhang, Rui Qi Yu:
  Continuously tracking and see-through occlusion based on a new hybrid synthetic aperture imaging model. 3409-3416
  
• Anoop Cherian, Vassilios Morellas, Nikolaos Papanikolopoulos, Saad Bedros:
  Dirichlet process mixture models on symmetric positive definite matrices for appearance clustering in video surveillance applications. 3417-3424
  
• Chia-Chih Chen, J. K. Aggarwal:
  Modeling human activities as speech. 3425-3432
  
• Karthik Sankaranarayanan, James W. Davis:
  Object association across PTZ cameras using logistic MIL. 3433-3440
  
• Bolei Zhou, Xiaogang Wang, Xiaoou Tang:
  Random field topic model for semantic region analysis in crowded scenes from tracklets. 3441-3448
  
• Yang Cong, Junsong Yuan, Ji Liu:
  Sparse reconstruction cost for abnormal event detection. 3449-3456
  
• Ben Benfold, Ian Reid:
  Stable multi-target tracking in real-time surveillance video. 3457-3464
  
• Bogdan C. Matei, Harpreet S. Sawhney, Supun Samarasekera:
  Vehicle tracking across nonoverlapping cameras using joint kinematic and appearance features. 3465-3472
  
• Peng Huang, Chris Budd, Adrian Hilton:
  Global temporal registration of multiple non-rigid surface sequences. 3473-3480
  
• Jianbing Shen, Xiaoshan Yang, Yunde Jia, Xuelong Li:
  Intrinsic images using optimization. 3481-3487
  
• Jongwoo Lim, Jan-Michael Frahm, Marc Pollefeys:
  Online environment mapping. 3489-3496
  
• Jan Heller, Michal Havlena, Akihiro Sugimoto, Tomás Pajdla:
  Structure-from-motion based hand-eye calibration using L∞ minimization. 3497-3503