Kohli, Pushmeet

137 publications

TMLR 2025 Privacy Awareness for Information-Sharing Assistants: A Case-Study on Form-Filling with Contextual Integrity Sahra Ghalebikesabi, Eugene Bagdasarian, Ren Yi, Itay Yona, Ilia Shumailov, Aneesh Pappu, Chongyang Shi, Laura Weidinger, Robert Stanforth, Leonard Berrada, Pushmeet Kohli, Po-Sen Huang, Borja Balle

ICLR 2025 Scaling Wearable Foundation Models Girish Narayanswamy, Xin Liu, Kumar Ayush, Yuzhe Yang, Xuhai Xu, Shun Liao, Jake Garrison, Shyam A. Tailor, Jacob Sunshine, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak Patel, Samy Abdel-Ghaffar, Daniel McDuff

NeurIPS 2025 SensorLM: Learning the Language of Wearable Sensors Yuwei Zhang, Kumar Ayush, Siyuan Qiao, A. Ali Heydari, Girish Narayanswamy, Maxwell A Xu, Ahmed Metwally, Jinhua Xu, Jake Garrison, Xuhai Xu, Tim Althoff, Yun Liu, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak Patel, Cecilia Mascolo, Xin Liu, Daniel McDuff, Yuzhe Yang

IJCAI 2022 Making Sense of Raw Input (Extended Abstract) Richard Evans, Matko Bosnjak, Lars Buesing, Kevin Ellis, David Pfau, Pushmeet Kohli, Marek J. Sergot

ICLR 2021 Self-Supervised Adversarial Robustness for the Low-Label, High-Data Regime Sven Gowal, Po-Sen Huang, Aaron van den Oord, Timothy Mann, Pushmeet Kohli

ICLR 2020 A Framework for Robustness Certification of Smoothed Classifiers Using F-Divergences Krishnamurthy Dvijotham, Jamie Hayes, Borja Balle, Zico Kolter, Chongli Qin, Andras Gyorgy, Kai Xiao, Sven Gowal, Pushmeet Kohli

ICLR 2020 Adversarially Robust Representations with Smooth Encoders Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham, Pushmeet Kohli

JMLR 2020 Branch and Bound for Piecewise Linear Neural Network Verification Rudy Bunel, Jingyue Lu, Ilker Turkaslan, Philip H.S. Torr, Pushmeet Kohli, M. Pawan Kumar

ICLR 2020 CLEVRER: CoLlision Events for Video REpresentation and Reasoning Kexin Yi, Chuang Gan, Yunzhu Li, Pushmeet Kohli, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum

NeurIPS 2020 Enabling Certification of Verification-Agnostic Networks via Memory-Efficient Semidefinite Programming Sumanth Dathathri, Krishnamurthy Dvijotham, Alexey Kurakin, Aditi Raghunathan, Jonathan Uesato, Rudy R Bunel, Shreya Shankar, Jacob Steinhardt, Ian Goodfellow, Percy Liang, Pushmeet Kohli

UAI 2020 Lagrangian Decomposition for Neural Network Verification Rudy Bunel, Alessandro De Palma, Alban Desmaison, Krishnamurthy Dvijotham, Pushmeet Kohli, Philip Torr, M. Pawan Kumar

ICLR 2020 Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs Aditya Paliwal, Felix Gimeno, Vinod Nair, Yujia Li, Miles Lubin, Pushmeet Kohli, Oriol Vinyals

NeurIPS 2020 The Autoencoding Variational Autoencoder Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham, Sven Gowal, Pushmeet Kohli

ICLR 2020 Toward Evaluating Robustness of Deep Reinforcement Learning with Continuous Control Tsui-Wei Weng, Krishnamurthy Dvijotham, Jonathan Uesato, Kai Xiao, Sven Gowal, Robert Stanforth, Pushmeet Kohli

ICLR 2020 Towards Verified Robustness Under Text Deletion Interventions Johannes Welbl, Po-Sen Huang, Robert Stanforth, Sven Gowal, Krishnamurthy Dvijotham, Martin Szummer, Pushmeet Kohli

NeurIPS 2020 Training Generative Adversarial Networks by Solving Ordinary Differential Equations Chongli Qin, Yan Wu, Jost Tobias Springenberg, Andy Brock, Jeff Donahue, Timothy Lillicrap, Pushmeet Kohli

IJCAI 2019 A Dual Approach to Verify and Train Deep Networks Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Timothy A. Mann, Pushmeet Kohli

NeurIPS 2019 Adversarial Robustness Through Local Linearization Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli

ICLR 2019 Analysing Mathematical Reasoning Abilities of Neural Models David Saxton, Edward Grefenstette, Felix Hill, Pushmeet Kohli

NeurIPS 2019 Are Labels Required for Improving Adversarial Robustness? Jean-Baptiste Alayrac, Jonathan Uesato, Po-Sen Huang, Alhussein Fawzi, Robert Stanforth, Pushmeet Kohli

ICML 2019 CompILE: Compositional Imitation Learning and Execution Thomas Kipf, Yujia Li, Hanjun Dai, Vinicius Zambaldi, Alvaro Sanchez-Gonzalez, Edward Grefenstette, Pushmeet Kohli, Peter Battaglia

UAI 2019 Efficient Neural Network Verification with Exactness Characterization Krishnamurthy Dvijotham, Robert Stanforth, Sven Gowal, Chongli Qin, Soham De, Pushmeet Kohli

ICML 2019 Graph Matching Networks for Learning the Similarity of Graph Structured Objects Yujia Li, Chenjie Gu, Thomas Dullien, Oriol Vinyals, Pushmeet Kohli

NeurIPS 2019 Learning Transferable Graph Exploration Hanjun Dai, Yujia Li, Chenglong Wang, Rishabh Singh, Po-Sen Huang, Pushmeet Kohli

ICLR 2019 Learning to Understand Goal Specifications by Modelling Reward Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Arian Hosseini, Pushmeet Kohli, Edward Grefenstette

ICLR 2019 Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures Jonathan Uesato, Ananya Kumar, Csaba Szepesvari, Tom Erez, Avraham Ruderman, Keith Anderson, Krishnamurthy Dvijotham, Nicolas Heess, Pushmeet Kohli

ICML 2019 Structured Agents for Physical Construction Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly Stachenfeld, Pushmeet Kohli, Peter Battaglia, Jessica Hamrick

ICLR 2019 The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences from Natural Supervision Jiayuan Mao, Chuang Gan, Pushmeet Kohli, Joshua B. Tenenbaum, Jiajun Wu

ICLR 2019 Value Propagation Networks Nantas Nardelli, Gabriel Synnaeve, Zeming Lin, Pushmeet Kohli, Philip H. S. Torr, Nicolas Usunier

ICLR 2019 Verification of Non-Linear Specifications for Neural Networks Chongli Qin, Krishnamurthy Dvijotham, Brendan O'Donoghue, Rudy Bunel, Robert Stanforth, Sven Gowal, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli

UAI 2018 A Dual Approach to Scalable Verification of Deep Networks Krishnamurthy Dvijotham, Robert Stanforth, Sven Gowal, Timothy A. Mann, Pushmeet Kohli

NeurIPS 2018 A Unified View of Piecewise Linear Neural Network Verification Rudy R Bunel, Ilker Turkaslan, Philip Torr, Pushmeet Kohli, Pawan K Mudigonda

ICML 2018 Adversarial Risk and the Dangers of Evaluating Against Weak Attacks Jonathan Uesato, Brendan O’Donoghue, Pushmeet Kohli, Aaron Oord

AISTATS 2018 Batched Large-Scale Bayesian Optimization in High-Dimensional Spaces Zi Wang, Clement Gehring, Pushmeet Kohli, Stefanie Jegelka

ICLR 2018 Can Neural Networks Understand Logical Entailment? Richard Evans, David Saxton, David Amos, Pushmeet Kohli, Edward Grefenstette

ICLR 2018 Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis Rudy Bunel, Matthew Hausknecht, Jacob Devlin, Rishabh Singh, Pushmeet Kohli

NeurIPS 2018 Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding Kexin Yi, Jiajun Wu, Chuang Gan, Antonio Torralba, Pushmeet Kohli, Josh Tenenbaum

ICML 2018 Programmatically Interpretable Reinforcement Learning Abhinav Verma, Vijayaraghavan Murali, Rishabh Singh, Pushmeet Kohli, Swarat Chaudhuri

ICML 2017 Batched High-Dimensional Bayesian Optimization via Structural Kernel Learning Zi Wang, Chengtao Li, Stefanie Jegelka, Pushmeet Kohli

ICCV 2017 DeepContext: Context-Encoding Neural Pathways for 3D Holistic Scene Understanding Yinda Zhang, Mingru Bai, Pushmeet Kohli, Shahram Izadi, Jianxiong Xiao

ICML 2017 Learning Continuous Semantic Representations of Symbolic Expressions Miltiadis Allamanis, Pankajan Chanthirasegaran, Pushmeet Kohli, Charles Sutton

NeurIPS 2017 Learning Disentangled Representations with Semi-Supervised Deep Generative Models Siddharth N, Brooks Paige, Jan-Willem van de Meent, Alban Desmaison, Noah Goodman, Pushmeet Kohli, Frank Wood, Philip Torr

NeurIPS 2017 Learning to See Physics via Visual De-Animation Jiajun Wu, Erika Lu, Pushmeet Kohli, Bill Freeman, Josh Tenenbaum

ICLR 2017 Learning to Superoptimize Programs Rudy Bunel, Alban Desmaison, M. Pawan Kumar, Philip H. S. Torr, Pushmeet Kohli

NeurIPS 2017 Neural Program Meta-Induction Jacob Devlin, Rudy R Bunel, Rishabh Singh, Matthew Hausknecht, Pushmeet Kohli

CVPR 2017 Neural Scene De-Rendering Jiajun Wu, Joshua B. Tenenbaum, Pushmeet Kohli

ICLR 2017 Neuro-Symbolic Program Synthesis Emilio Parisotto, Abdel-rahman Mohamed, Rishabh Singh, Lihong Li, Dengyong Zhou, Pushmeet Kohli

ICCV 2017 Raster-to-Vector: Revisiting Floorplan Transformation Chen Liu, Jiajun Wu, Pushmeet Kohli, Yasutaka Furukawa

ICCV 2017 Realistic Dynamic Facial Textures from a Single Image Using GANs Kyle Olszewski, Zimo Li, Chao Yang, Yi Zhou, Ronald Yu, Zeng Huang, Sitao Xiang, Shunsuke Saito, Pushmeet Kohli, Hao Li

ICML 2017 RobustFill: Neural Program Learning Under Noisy I/O Jacob Devlin, Jonathan Uesato, Surya Bhupatiraju, Rishabh Singh, Abdel-rahman Mohamed, Pushmeet Kohli

ICML 2017 Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning Jakob Foerster, Nantas Nardelli, Gregory Farquhar, Triantafyllos Afouras, Philip H. S. Torr, Pushmeet Kohli, Shimon Whiteson

ICLR 2017 Support Regularized Sparse Coding and Its Fast Encoder Yingzhen Yang, Jiahui Yu, Pushmeet Kohli, Jianchao Yang, Thomas S. Huang

ICCVW 2017 Vision-as-Inverse-Graphics: Obtaining a Rich 3D Explanation of a Scene from a Single Image Lukasz Romaszko, Christopher K. I. Williams, Pol Moreno, Pushmeet Kohli

ICML 2017 Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning Junhyuk Oh, Satinder Singh, Honglak Lee, Pushmeet Kohli

NeurIPS 2016 Adaptive Neural Compilation Rudy R Bunel, Alban Desmaison, Pawan K Mudigonda, Pushmeet Kohli, Philip Torr

NeurIPS 2016 Batched Gaussian Process Bandit Optimization via Determinantal Point Processes Tarun Kathuria, Amit Deshpande, Pushmeet Kohli

ECCV 2016 Deep Disentangled Representations for Volumetric Reconstruction Edward Grant, Pushmeet Kohli, Marcel van Gerven

ECCVW 2016 Deep Disentangled Representations for Volumetric Reconstruction Edward Grant, Pushmeet Kohli, Marcel van Gerven

ECCV 2016 Efficient Continuous Relaxations for Dense CRF Alban Desmaison, Rudy Bunel, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar

CVPR 2016 Layered Scene Decomposition via the Occlusion-CRF Chen Liu, Pushmeet Kohli, Yasutaka Furukawa

ECCV 2016 Overcoming Occlusion with Inverse Graphics Pol Moreno, Christopher K. I. Williams, Charlie Nash, Pushmeet Kohli

ECCVW 2016 Overcoming Occlusion with Inverse Graphics Pol Moreno, Christopher K. I. Williams, Charlie Nash, Pushmeet Kohli

NeurIPS 2016 PerforatedCNNs: Acceleration Through Elimination of Redundant Convolutions Mikhail Figurnov, Aizhan Ibraimova, Dmitry P Vetrov, Pushmeet Kohli

UAI 2016 Political Dimensionality Estimation Using a Probabilistic Graphical Model Yoad Lewenberg, Yoram Bachrach, Lucas Bordeaux, Pushmeet Kohli

CVPR 2016 The Global Patch Collider Shenlong Wang, Sean Ryan Fanello, Christoph Rhemann, Shahram Izadi, Pushmeet Kohli

JAIR 2016 Time-Sensitive Bayesian Information Aggregation for Crowdsourcing Systems Matteo Venanzi, John Guiver, Pushmeet Kohli, Nicholas R. Jennings

CVPR 2015 Computationally Bounded Retrieval Mohammad Rastegari, Cem Keskin, Pushmeet Kohli, Shahram Izadi

AISTATS 2015 Consensus Message Passing for Layered Graphical Models Varun Jampani, S. M. Ali Eslami, Daniel Tarlow, Pushmeet Kohli, John M. Winn

NeurIPS 2015 Deep Convolutional Inverse Graphics Network Tejas D Kulkarni, William F. Whitney, Pushmeet Kohli, Josh Tenenbaum

NeurIPS 2015 Efficient Non-Greedy Optimization of Decision Trees Mohammad Norouzi, Maxwell Collins, Matthew A Johnson, David J Fleet, Pushmeet Kohli

IJCAI 2015 Information Gathering in Networks via Active Exploration Adish Singla, Eric Horvitz, Pushmeet Kohli, Ryen White, Andreas Krause

UAI 2015 Minimizing Expected Losses in Perturbation Models with Multidimensional Parametric Min-Cuts Adrian Kim, Kyomin Jung, Yongsub Lim, Daniel Tarlow, Pushmeet Kohli

WACV 2015 Motion Segmentation of Truncated Signed Distance Function Based Volumetric Surfaces Samunda Perera, Nick Barnes, Xuming He, Shahram Izadi, Pushmeet Kohli, Ben Glocker

ICCV 2015 Opening the Black Box: Hierarchical Sampling Optimization for Estimating Human Hand Pose Danhang Tang, Jonathan Taylor, Pushmeet Kohli, Cem Keskin, Tae-Kyun Kim, Jamie Shotton

CVPR 2015 Picture: A Probabilistic Programming Language for Scene Perception Tejas D. Kulkarni, Pushmeet Kohli, Joshua B. Tenenbaum, Vikash Mansinghka

CVPR 2015 Sparse Projections for High-Dimensional Binary Codes Yan Xia, Kaiming He, Pushmeet Kohli, Jian Sun

ECCV 2014 A Contour Completion Model for Augmenting Surface Reconstructions Nathan Silberman, Lior Shapira, Ran Gal, Pushmeet Kohli

AISTATS 2014 Efficiently Enforcing Diversity in Multi-Output Structured Prediction Abner Guzmán-Rivera, Pushmeet Kohli, Dhruv Batra, Rob A. Rutenbar

CVPR 2014 Filter Forests for Learning Data-Dependent Convolutional Kernels Sean Ryan Fanello, Cem Keskin, Pushmeet Kohli, Shahram Izadi, Jamie Shotton, Antonio Criminisi, Ugo Pattacini, Tim Paek

CVPR 2014 Gesture Recognition Portfolios for Personalization Angela Yao, Luc Van Gool, Pushmeet Kohli

NeurIPS 2014 Just-in-Time Learning for Fast and Flexible Inference S. M. Ali Eslami, Daniel Tarlow, Pushmeet Kohli, John Winn

MLJ 2014 Manifestations of User Personality in Website Choice and Behaviour on Online Social Networks Michal Kosinski, Yoram Bachrach, Pushmeet Kohli, David Stillwell, Thore Graepel

CVPR 2014 Multi-Output Learning for Camera Relocalization Abner Guzman-Rivera, Pushmeet Kohli, Ben Glocker, Jamie Shotton, Toby Sharp, Andrew Fitzgibbon, Shahram Izadi

ECCV 2014 Non-Parametric Higher-Order Random Fields for Image Segmentation Pablo Márquez-Neila, Pushmeet Kohli, Carsten Rother, Luis Baumela

ECCV 2014 Perceptually Inspired Layout-Aware Losses for Image Segmentation Anton Osokin, Pushmeet Kohli

ICCV 2013 3D Scene Understanding by Voxel-CRF Byung-Soo Kim, Pushmeet Kohli, Silvio Savarese

AAAI 2013 A Fast Bandit Algorithm for Recommendation to Users with Heterogenous Tastes Pushmeet Kohli, Mahyar Salek, Greg Stoddard

CVPR 2013 A Principled Deep Random Field Model for Image Segmentation Pushmeet Kohli, Anton Osokin, Stefanie Jegelka

CVPR 2013 Compressible Motion Fields Giuseppe Ottaviano, Pushmeet Kohli

NeurIPS 2013 Decision Jungles: Compact and Rich Models for Classification Jamie Shotton, Toby Sharp, Pushmeet Kohli, Sebastian Nowozin, John Winn, Antonio Criminisi

AISTATS 2013 DivMCuts: Faster Training of Structural SVMs with Diverse M-Best Cutting-Planes Abner Guzmán-Rivera, Pushmeet Kohli, Dhruv Batra

CVPR 2013 GeoF: Geodesic Forests for Learning Coupled Predictors Peter Kontschieder, Pushmeet Kohli, Jamie Shotton, Antonio Criminisi

AAAI 2013 Optimal Coalition Structure Generation in Cooperative Graph Games Yoram Bachrach, Pushmeet Kohli, Vladimir Kolmogorov, Morteza Zadimoghaddam

CVPR 2013 Spatial Inference Machines Roman Shapovalov, Dmitry Vetrov, Pushmeet Kohli

ECCV 2012 A Convex Discrete-Continuous Approach for Markov Random Fields Christopher Zach, Pushmeet Kohli

CVPR 2012 Conditional Regression Forests for Human Pose Estimation Min Sun, Pushmeet Kohli, Jamie Shotton

NeurIPS 2012 Context-Sensitive Decision Forests for Object Detection Peter Kontschieder, Samuel R. Bulò, Antonio Criminisi, Pushmeet Kohli, Marcello Pelillo, Horst Bischof

ECCV 2012 Indoor Segmentation and Support Inference from RGBD Images Nathan Silberman, Derek Hoiem, Pushmeet Kohli, Rob Fergus

ECCV 2012 Large-Lexicon Attribute-Consistent Text Recognition in Natural Images Tatiana Novikova, Olga Barinova, Pushmeet Kohli, Victor S. Lempitsky

ECCV 2012 Latent Hough Transform for Object Detection Nima Razavi, Juergen Gall, Pushmeet Kohli, Luc Van Gool

AISTATS 2012 Learning Low-Order Models for Enforcing High-Order Statistics Patrick Pletscher, Pushmeet Kohli

ECCV 2012 Learning to Efficiently Detect Repeatable Interest Points in Depth Data Stefan Holzer, Jamie Shotton, Pushmeet Kohli

NeurIPS 2012 Multiple Choice Learning: Learning to Produce Multiple Structured Outputs Abner Guzmán-rivera, Dhruv Batra, Pushmeet Kohli

ECCV 2012 Relating Things and Stuff by High-Order Potential Modeling Byung-soo Kim, Min Sun, Pushmeet Kohli, Silvio Savarese

ECCVW 2012 Relating Things and Stuff by High-Order Potential Modeling Byung-soo Kim, Min Sun, Pushmeet Kohli, Silvio Savarese

ICCV 2011 Decision Tree Fields Sebastian Nowozin, Carsten Rother, Shai Bagon, Toby Sharp, Bangpeng Yao, Pushmeet Kohli

ICML 2011 Dynamic Tree Block Coordinate Ascent Daniel Tarlow, Dhruv Batra, Pushmeet Kohli, Vladimir Kolmogorov

ICCV 2011 Efficient Regression of General-Activity Human Poses from Depth Images Ross B. Girshick, Jamie Shotton, Pushmeet Kohli, Antonio Criminisi, Andrew W. Fitzgibbon

NeurIPS 2011 Higher-Order Correlation Clustering for Image Segmentation Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli, Chang D. Yoo

CVPR 2011 Making the Right Moves: Guiding Alpha-Expansion Using Local Primal-Dual Gaps Dhruv Batra, Pushmeet Kohli

CVPR 2011 Object Stereo - Joint Stereo Matching and Object Segmentation Michael Bleyer, Carsten Rother, Pushmeet Kohli, Daniel Scharstein, Sudipta N. Sinha

AISTATS 2011 Tighter Relaxations for MAP-MRF Inference: A Local Primal-Dual Gap Based Separation Algorithm Dhruv Batra, Sebastian Nowozin, Pushmeet Kohli

CVPR 2011 Variable Grouping for Energy Minimization Taesup Kim, Sebastian Nowozin, Pushmeet Kohli, Chang D. Yoo

CVPR 2010 A Spatially Varying PSF-Based Prior for Alpha Matting Christoph Rhemann, Carsten Rother, Pushmeet Kohli, Margrit Gelautz

AAAI 2010 Coalitional Structure Generation in Skill Games Yoram Bachrach, Reshef Meir, Kyomin Jung, Pushmeet Kohli

ECCV 2010 Energy Minimization Under Constraints on Label Counts Yongsub Lim, Kyomin Jung, Pushmeet Kohli

CVPR 2010 Energy Minimization for Linear Envelope MRFs Pushmeet Kohli, M. Pawan Kumar

UAI 2010 Exact and Approximate Inference in Associative Hierarchical Networks Using Graph Cuts Chris Russell, Lubor Ladicky, Pushmeet Kohli, Philip H. S. Torr

ECCV 2010 Geometric Image Parsing in Man-Made Environments Olga Barinova, Victor S. Lempitsky, Elena Tretiak, Pushmeet Kohli

ECCV 2010 Graph Cut Based Inference with Co-Occurrence Statistics Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr

CVPR 2010 On Detection of Multiple Object Instances Using Hough Transforms Olga Barinova, Victor S. Lempitsky, Pushmeet Kohli

CVPR 2010 Surface Stereo with Soft Segmentation Michael Bleyer, Carsten Rother, Pushmeet Kohli

ECCV 2010 TriangleFlow: Optical Flow with Triangulation-Based Higher-Order Likelihoods Ben Glocker, Tim Hauke Heibel, Nassir Navab, Pushmeet Kohli, Carsten Rother

CVPR 2009 A Perceptually Motivated Online Benchmark for Image Matting Christoph Rhemann, Carsten Rother, Jue Wang, Margrit Gelautz, Pushmeet Kohli, Pamela Rott

ICCV 2009 Associative Hierarchical CRFs for Object Class Image Segmentation Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr

ICCV 2009 Image Segmentation with a Bounding Box Prior Victor S. Lempitsky, Pushmeet Kohli, Carsten Rother, Toby Sharp

NeurIPS 2009 Local Rules for Global MAP: When Do They Work ? Kyomin Jung, Pushmeet Kohli, Devavrat Shah

CVPR 2009 Minimizing Sparse Higher Order Energy Functions of Discrete Variables Carsten Rother, Pushmeet Kohli, Wei Feng, Jiaya Jia

CVPR 2008 Exact Inference in Multi-Label CRFs with Higher Order Cliques Srikumar Ramalingam, Pushmeet Kohli, Karteek Alahari, Philip H. S. Torr

ECCV 2008 Learning CRFs Using Graph Cuts Martin Szummer, Pushmeet Kohli, Derek Hoiem

ICML 2008 On Partial Optimality in Multi-Label MRFs Pushmeet Kohli, Alexander Shekhovtsov, Carsten Rother, Vladimir Kolmogorov, Philip H. S. Torr

CVPR 2008 Reduce, Reuse & Recycle: Efficiently Solving Multi-Label MRFs Karteek Alahari, Pushmeet Kohli, Philip H. S. Torr

CVPR 2008 Robust Higher Order Potentials for Enforcing Label Consistency Pushmeet Kohli, Lubor Ladicky, Philip H. S. Torr

CVPR 2007 P3 & Beyond: Solving Energies with Higher Order Cliques Pushmeet Kohli, M. Pawan Kumar, Philip H. S. Torr

ECCV 2006 Measuring Uncertainty in Graph Cut Solutions - Efficiently Computing Min-Marginal Energies Using Dynamic Graph Cuts Pushmeet Kohli, Philip H. S. Torr

ECCV 2006 PoseCut: Simultaneous Segmentation and 3D Pose Estimation of Humans Using Dynamic Graph-Cuts Matthieu Bray, Pushmeet Kohli, Philip H. S. Torr

ICCV 2005 Effciently Solving Dynamic Markov Random Fields Using Graph Cuts Pushmeet Kohli, Philip H. S. Torr