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Pushmeet Kohli
2010 – today
- 2013
[j15]Lubor Ladicky, Christopher Russell, Pushmeet Kohli, Philip H. S. Torr: Inference Methods for CRFs with Co-occurrence Statistics. International Journal of Computer Vision 103(2): 213-225 (2013)
[j14]Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli, Chang D. Yoo: Task-Specific Image Partitioning. IEEE Transactions on Image Processing 22(2): 488-500 (2013)- 2012
[j13]Michael W. Tao, Jiamin Bai, Pushmeet Kohli, Sylvain Paris: SimpleFlow: A Non-iterative, Sublinear Optical Flow Algorithm. Comput. Graph. Forum 31(2): 345-353 (2012)
[j12]Elena Tretiak, Olga Barinova, Pushmeet Kohli, Victor S. Lempitsky: Geometric Image Parsing in Man-Made Environments. International Journal of Computer Vision 97(3): 305-321 (2012)
[j11]Pushmeet Kohli, Hannes Nickisch, Carsten Rother, Christoph Rhemann: User-Centric Learning and Evaluation of Interactive Segmentation Systems. International Journal of Computer Vision 100(3): 261-274 (2012)
[j10]Patrick Pletscher, Pushmeet Kohli: Learning Low-order Models for Enforcing High-order Statistics. Journal of Machine Learning Research - Proceedings Track 22: 886-894 (2012)
[j9]Olga Barinova, Victor S. Lempitsky, Pushmeet Kohli: On Detection of Multiple Object Instances Using Hough Transforms. IEEE Trans. Pattern Anal. Mach. Intell. 34(9): 1773-1784 (2012)
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[c58]Simon Fothergill, Helena M. Mentis, Pushmeet Kohli, Sebastian Nowozin: Instructing people for training gestural interactive systems. CHI 2012: 1737-1746
[c57]Min Sun, Pushmeet Kohli, Jamie Shotton: Conditional regression forests for human pose estimation. CVPR 2012: 3394-3401
[c56]Alexander Shekhovtsov, Pushmeet Kohli, Carsten Rother: Curvature Prior for MRF-Based Segmentation and Shape Inpainting. DAGM/OAGM Symposium 2012: 41-51
[c55]Stefan Holzer, Jamie Shotton, Pushmeet Kohli: Learning to Efficiently Detect Repeatable Interest Points in Depth Data. ECCV (1) 2012: 200-213
[c54]Byung-soo Kim, Min Sun, Pushmeet Kohli, Silvio Savarese: Relating Things and Stuff by High-Order Potential Modeling. ECCV Workshops (3) 2012: 293-304
[c53]Nima Razavi, Juergen Gall, Pushmeet Kohli, Luc J. Van Gool: Latent Hough Transform for Object Detection. ECCV (3) 2012: 312-325
[c52]Christopher Zach, Pushmeet Kohli: A Convex Discrete-Continuous Approach for Markov Random Fields. ECCV (6) 2012: 386-399
[c51]Nathan Silberman, Derek Hoiem, Pushmeet Kohli, Rob Fergus: Indoor Segmentation and Support Inference from RGBD Images. ECCV (5) 2012: 746-760
[c50]Tatiana Novikova, Olga Barinova, Pushmeet Kohli, Victor S. Lempitsky: Large-Lexicon Attribute-Consistent Text Recognition in Natural Images. ECCV (6) 2012: 752-765
[c49]Jérôme Plumat, Benoit M. Macq, Pushmeet Kohli: Higher-order density consistency potentials for Discrete Tomography. ICIP 2012: 2065-2068
[c48]Peter Kontschieder, Samuel Rota Bulò, Antonio Criminisi, Pushmeet Kohli, Marcello Pelillo, Horst Bischof: Context-Sensitive Decision Forests for Object Detection. NIPS 2012: 440-448
[c47]Abner Guzmán-Rivera, Dhruv Batra, Pushmeet Kohli: Multiple Choice Learning: Learning to Produce Multiple Structured Outputs. NIPS 2012: 1808-1816
[c46]Yoram Bachrach, Michal Kosinski, Thore Graepel, Pushmeet Kohli, David Stillwell: Personality and patterns of Facebook usage. WebSci 2012: 24-32
[c45]Pushmeet Kohli, Michael Kearns, Yoram Bachrach, Ralf Herbrich, David Stillwell, Thore Graepel: Colonel Blotto on Facebook: the effect of social relations on strategic interaction. WebSci 2012: 141-150
[i4]Christopher Russell, Lubor Ladicky, Pushmeet Kohli, Philip H. S. Torr: Exact and Approximate Inference in Associative Hierarchical Networks using Graph Cuts. CoRR abs/1203.3512 (2012)- 2011
[j8]Dhruv Batra, Sebastian Nowozin, Pushmeet Kohli: Tighter Relaxations for MAP-MRF Inference: A Local Primal-Dual Gap based Separation Algorithm. Journal of Machine Learning Research - Proceedings Track 15: 146-154 (2011)
[c44]Yoram Bachrach, Pushmeet Kohli, Thore Graepel: Rip-off: playing the cooperative negotiation game. AAMAS 2011: 1179-1180
[c43]
[c42]Alex Mansfield, Mukta Prasad, Carsten Rother, Toby Sharp, Pushmeet Kohli, Luc J. Van Gool: Transforming Image Completion. BMVC 2011: 1-11
[c41]Dhruv Batra, Pushmeet Kohli: Making the right moves: Guiding alpha-expansion using local primal-dual gaps. CVPR 2011: 1865-1872
[c40]Taesup Kim, Sebastian Nowozin, Pushmeet Kohli, Chang D. Yoo: Variable grouping for energy minimization. CVPR 2011: 1913-1920
[c39]Michael Bleyer, Carsten Rother, Pushmeet Kohli, Daniel Scharstein, Sudipta N. Sinha: Object stereo - Joint stereo matching and object segmentation. CVPR 2011: 3081-3088
[c38]Patrick Pletscher, Sebastian Nowozin, Pushmeet Kohli, Carsten Rother: Putting MAP Back on the Map. DAGM-Symposium 2011: 111-121
[c37]Ross B. Girshick, Jamie Shotton, Pushmeet Kohli, Antonio Criminisi, Andrew W. Fitzgibbon: Efficient regression of general-activity human poses from depth images. ICCV 2011: 415-422
[c36]Sebastian Nowozin, Carsten Rother, Shai Bagon, Toby Sharp, Bangpeng Yao, Pushmeet Kohli: Decision tree fields. ICCV 2011: 1668-1675
[c35]Daniel Tarlow, Dhruv Batra, Pushmeet Kohli, Vladimir Kolmogorov: Dynamic Tree Block Coordinate Ascent. ICML 2011: 113-120
[c34]Richard A. Newcombe, Shahram Izadi, Otmar Hilliges, David Molyneaux, David Kim, Andrew J. Davison, Pushmeet Kohli, Jamie Shotton, Steve Hodges, Andrew W. Fitzgibbon: KinectFusion: Real-time dense surface mapping and tracking. ISMAR 2011: 127-136
[c33]Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli, Chang Dong Yoo: Higher-Order Correlation Clustering for Image Segmentation. NIPS 2011: 1530-1538
[c32]Shahram Izadi, Richard A. Newcombe, David Kim, Otmar Hilliges, David Molyneaux, Steve Hodges, Pushmeet Kohli, Jamie Shotton, Andrew J. Davison, Andrew W. Fitzgibbon: KinectFusion: real-time dynamic 3D surface reconstruction and interaction. SIGGRAPH Talks 2011: 23
[c31]Shahram Izadi, David Kim, Otmar Hilliges, David Molyneaux, Richard A. Newcombe, Pushmeet Kohli, Jamie Shotton, Steve Hodges, Dustin Freeman, Andrew J. Davison, Andrew W. Fitzgibbon: KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera. UIST 2011: 559-568
[i3]Yoram Bachrach, Pushmeet Kohli, Vladimir Kolmogorov, Morteza Zadimoghaddam: Optimal Coalition Structures in Graph Games. CoRR abs/1108.5248 (2011)
[i2]Alexander Shekhovtsov, Pushmeet Kohli, Carsten Rother: Curvature Prior for MRF-based Segmentation and Shape Inpainting. CoRR abs/1109.1480 (2011)- 2010
[j7]Karteek Alahari, Pushmeet Kohli, Philip H. S. Torr: Dynamic Hybrid Algorithms for MAP Inference in Discrete MRFs. IEEE Trans. Pattern Anal. Mach. Intell. 32(10): 1846-1857 (2010)
[c30]Yoram Bachrach, Reshef Meir, Kyomin Jung, Pushmeet Kohli: Coalitional Structure Generation in Skill Games. AAAI 2010
[c29]Michael Bleyer, Carsten Rother, Pushmeet Kohli: Surface stereo with soft segmentation. CVPR 2010: 1570-1577
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[c27]Christoph Rhemann, Carsten Rother, Pushmeet Kohli, Margrit Gelautz: A spatially varying PSF-based prior for alpha matting. CVPR 2010: 2149-2156
[c26]Olga Barinova, Victor S. Lempitsky, Pushmeet Kohli: On detection of multiple object instances using hough transforms. CVPR 2010: 2233-2240
[c25]Pushmeet Kohli, Victor S. Lempitsky, Carsten Rother: Uncertainty Driven Multi-scale Optimization. DAGM-Symposium 2010: 242-251
[c24]Olga Barinova, Victor S. Lempitsky, Elena Tretiak, Pushmeet Kohli: Geometric Image Parsing in Man-Made Environments. ECCV (2) 2010: 57-70
[c23]Lubor Ladicky, Christopher Russell, Pushmeet Kohli, Philip H. S. Torr: Graph Cut Based Inference with Co-occurrence Statistics. ECCV (5) 2010: 239-253
[c22]Ben Glocker, Tim Hauke Heibel, Nassir Navab, Pushmeet Kohli, Carsten Rother: TriangleFlow: Optical Flow with Triangulation-Based Higher-Order Likelihoods. ECCV (3) 2010: 272-285
[c21]Yongsub Lim, Kyomin Jung, Pushmeet Kohli: Energy Minimization under Constraints on Label Counts. ECCV (2) 2010: 535-551
[c20]Hannes Nickisch, Carsten Rother, Pushmeet Kohli, Christoph Rhemann: Learning an interactive segmentation system. ICVGIP 2010: 274-281
[c19]Christopher Russell, Lubor Ladicky, Pushmeet Kohli, Philip H. S. Torr: Exact and Approximate Inference in Associative Hierarchical Networks using Graph Cuts. UAI 2010: 501-508
[p1]Pushmeet Kohli, Philip H. S. Torr: Dynamic Graph Cuts and Their Applications in Computer Vision. Computer Vision: Detection, Recognition and Reconstruction 2010: 51-108
2000 – 2009
- 2009
[j6]Pushmeet Kohli, Lubor Ladicky, Philip H. S. Torr: Robust Higher Order Potentials for Enforcing Label Consistency. International Journal of Computer Vision 82(3): 302-324 (2009)
[j5]Pushmeet Kohli, M. Pawan Kumar, Philip H. S. Torr: P³ & Beyond: Move Making Algorithms for Solving Higher Order Functions. IEEE Trans. Pattern Anal. Mach. Intell. 31(9): 1645-1656 (2009)
[c18]Carsten Rother, Pushmeet Kohli, Wei Feng, Jiaya Jia: Minimizing sparse higher order energy functions of discrete variables. CVPR 2009: 1382-1389
[c17]Christoph Rhemann, Carsten Rother, Jue Wang, Margrit Gelautz, Pushmeet Kohli, Pamela Rott: A perceptually motivated online benchmark for image matting. CVPR 2009: 1826-1833
[c16]Victor S. Lempitsky, Pushmeet Kohli, Carsten Rother, Toby Sharp: Image segmentation with a bounding box prior. ICCV 2009: 277-284
[c15]Lubor Ladicky, Christopher Russell, Pushmeet Kohli, Philip H. S. Torr: Associative hierarchical CRFs for object class image segmentation. ICCV 2009: 739-746
[c14]Kyomin Jung, Pushmeet Kohli, Devavrat Shah: Local Rules for Global MAP: When Do They Work ? NIPS 2009: 871-879
[i1]Hannes Nickisch, Pushmeet Kohli, Carsten Rother: Learning an Interactive Segmentation System. CoRR abs/0912.2492 (2009)- 2008
[j4]Pushmeet Kohli, Philip H. S. Torr: Measuring uncertainty in graph cut solutions. Computer Vision and Image Understanding 112(1): 30-38 (2008)
[j3]Pushmeet Kohli, Jonathan Rihan, Matthieu Bray, Philip H. S. Torr: Simultaneous Segmentation and Pose Estimation of Humans Using Dynamic Graph Cuts. International Journal of Computer Vision 79(3): 285-298 (2008)
[j2]Alex Rav-Acha, Pushmeet Kohli, Carsten Rother, Andrew W. Fitzgibbon: Unwrap mosaics: a new representation for video editing. ACM Trans. Graph. 27(3) (2008)
[c13]Karteek Alahari, Pushmeet Kohli, Philip H. S. Torr: Reduce, reuse & recycle: Efficiently solving multi-label MRFs. CVPR 2008
[c12]Pushmeet Kohli, Lubor Ladicky, Philip H. S. Torr: Robust higher order potentials for enforcing label consistency. CVPR 2008
[c11]Srikumar Ramalingam, Pushmeet Kohli, Karteek Alahari, Philip H. S. Torr: Exact inference in multi-label CRFs with higher order cliques. CVPR 2008
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[c9]Pushmeet Kohli, Alexander Shekhovtsov, Carsten Rother, Vladimir Kolmogorov, Philip H. S. Torr: On partial optimality in multi-label MRFs. ICML 2008: 480-487- 2007
[j1]Pushmeet Kohli, Philip H. S. Torr: Dynamic Graph Cuts for Efficient Inference in Markov Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. 29(12): 2079-2088 (2007)
[c8]Pushmeet Kohli, M. Pawan Kumar, Philip H. S. Torr: P3 & Beyond: Solving Energies with Higher Order Cliques. CVPR 2007- 2006
[c7]Pushmeet Kohli, Philip H. S. Torr: Measuring Uncertainty in Graph Cut Solutions - Efficiently Computing Min-marginal Energies Using Dynamic Graph Cuts. ECCV (2) 2006: 30-43
[c6]Matthieu Bray, Pushmeet Kohli, Philip H. S. Torr: PoseCut: Simultaneous Segmentation and 3D Pose Estimation of Humans Using Dynamic Graph-Cuts. ECCV (2) 2006: 642-655
[c5]
[c4]Yunda Sun, Pushmeet Kohli, Matthieu Bray, Philip H. S. Torr: Using Strong Shape Priors for Stereo. ICVGIP 2006: 882-893- 2005
[c3]Pushmeet Kohli, Philip H. S. Torr: Effciently Solving Dynamic Markov Random Fields Using Graph Cuts. ICCV 2005: 922-929- 2003
[c2]
[c1]Pushmeet Kohli: A New Genetic Algorithm Based Scheme for Inferring Finite State Machines From Accept/Reject Data Samples. IICAI 2003: 632-645
Coauthor Index
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last updated on 2013-05-24 22:21 CEST by the dblp team



