Pushmeet Kohli

According to our database1, Pushmeet Kohli authored at least 259 papers between 2003 and 2021.

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Bibliography

2021
Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs.
CoRR, 2021

Improved Branch and Bound for Neural Network Verification via Lagrangian Decomposition.
CoRR, 2021

Making sense of sensory input.
Artif. Intell., 2021

Partition-Merge: Distributed Inference and Modularity Optimization.
IEEE Access, 2021

Self-supervised Adversarial Robustness for the Low-label, High-data Regime.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Improved protein structure prediction using potentials from deep learning.
Nat., 2020

Branch and Bound for Piecewise Linear Neural Network Verification.
J. Mach. Learn. Res., 2020

Solving Mixed Integer Programs Using Neural Networks.
CoRR, 2020

Towards transformation-resilient provenance detection of digital media.
CoRR, 2020

Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples.
CoRR, 2020

Contrastive Training for Improved Out-of-Distribution Detection.
CoRR, 2020

Evaluating the Apperception Engine.
CoRR, 2020

Strong Generalization and Efficiency in Neural Programs.
CoRR, 2020

Lagrangian Decomposition for Neural Network Verification.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Training Generative Adversarial Networks by Solving Ordinary Differential Equations.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

The Autoencoding Variational Autoencoder.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

CLEVRER: Collision Events for Video Representation and Reasoning.
Proceedings of the 8th International Conference on Learning Representations, 2020

Toward Evaluating Robustness of Deep Reinforcement Learning with Continuous Control.
Proceedings of the 8th International Conference on Learning Representations, 2020

Towards Verified Robustness under Text Deletion Interventions.
Proceedings of the 8th International Conference on Learning Representations, 2020

Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs.
Proceedings of the 8th International Conference on Learning Representations, 2020

A Framework for robustness Certification of Smoothed Classifiers using F-Divergences.
Proceedings of the 8th International Conference on Learning Representations, 2020

Adversarially Robust Representations with Smooth Encoders.
Proceedings of the 8th International Conference on Learning Representations, 2020

Reducing Sentiment Bias in Language Models via Counterfactual Evaluation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, 2020

Towards Robust Image Classification Using Sequential Attention Models.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Efficient Relaxations for Dense CRFs with Sparse Higher-Order Potentials.
SIAM J. Imaging Sci., 2019

Opening the Black Box: Hierarchical Sampling Optimization for Hand Pose Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

An Alternative Surrogate Loss for PGD-based Adversarial Testing.
CoRR, 2019

A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities.
CoRR, 2019

REGAL: Transfer Learning For Fast Optimization of Computation Graphs.
CoRR, 2019

Meta-Learning surrogate models for sequential decision making.
CoRR, 2019

Efficient Neural Network Verification with Exactness Characterization.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Adversarial Robustness through Local Linearization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Transferable Graph Exploration.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Are Labels Required for Improving Adversarial Robustness?
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Dual Approach to Verify and Train Deep Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Graph Matching Networks for Learning the Similarity of Graph Structured Objects.
Proceedings of the 36th International Conference on Machine Learning, 2019

CompILE: Compositional Imitation Learning and Execution.
Proceedings of the 36th International Conference on Machine Learning, 2019

Structured agents for physical construction.
Proceedings of the 36th International Conference on Machine Learning, 2019

Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures.
Proceedings of the 7th International Conference on Learning Representations, 2019

Analysing Mathematical Reasoning Abilities of Neural Models.
Proceedings of the 7th International Conference on Learning Representations, 2019

Verification of Non-Linear Specifications for Neural Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

Value Propagation Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision.
Proceedings of the 7th International Conference on Learning Representations, 2019

Learning to Understand Goal Specifications by Modelling Reward.
Proceedings of the 7th International Conference on Learning Representations, 2019

Scalable Verified Training for Provably Robust Image Classification.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

The Body is Not a Given: Joint Agent Policy Learning and Morphology Evolution.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Degenerate Feedback Loops in Recommender Systems.
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018
Machine Learning and Model Checking Join Forces (Dagstuhl Seminar 18121).
Dagstuhl Reports, 2018

Scaling shared model governance via model splitting.
CoRR, 2018

Verification of deep probabilistic models.
CoRR, 2018

Compositional Imitation Learning: Explaining and executing one task at a time.
CoRR, 2018

Strength in Numbers: Trading-off Robustness and Computation via Adversarially-Trained Ensembles.
CoRR, 2018

On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models.
CoRR, 2018

Learning to Follow Language Instructions with Adversarial Reward Induction.
CoRR, 2018

Relational inductive biases, deep learning, and graph networks.
CoRR, 2018

Training verified learners with learned verifiers.
CoRR, 2018

A Dual Approach to Scalable Verification of Deep Networks.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Unified View of Piecewise Linear Neural Network Verification.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Neuro-symbolic program corrector for introductory programming assignments.
Proceedings of the 40th International Conference on Software Engineering, 2018

Programmatically Interpretable Reinforcement Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

Adversarial Risk and the Dangers of Evaluating Against Weak Attacks.
Proceedings of the 35th International Conference on Machine Learning, 2018

Can Neural Networks Understand Logical Entailment?
Proceedings of the 6th International Conference on Learning Representations, 2018

Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis.
Proceedings of the 6th International Conference on Learning Representations, 2018

Jointly Learning "What" and "How" from Instructions and Goal-States.
Proceedings of the 6th International Conference on Learning Representations, 2018

Batched Large-scale Bayesian Optimization in High-dimensional Spaces.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Piecewise Linear Neural Network verification: A comparative study.
CoRR, 2017

Semantic Code Repair using Neuro-Symbolic Transformation Networks.
CoRR, 2017

Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning.
CoRR, 2017

Deep API Programmer: Learning to Program with APIs.
CoRR, 2017

AP: Artificial Programming.
Proceedings of the 2nd Summit on Advances in Programming Languages, 2017

Learning Shape Analysis.
Proceedings of the Static Analysis - 24th International Symposium, 2017

Learning Disentangled Representations with Semi-Supervised Deep Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Neural Program Meta-Induction.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning to See Physics via Visual De-animation.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Batched High-dimensional Bayesian Optimization via Structural Kernel Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

RobustFill: Neural Program Learning under Noisy I/O.
Proceedings of the 34th International Conference on Machine Learning, 2017

Learning Continuous Semantic Representations of Symbolic Expressions.
Proceedings of the 34th International Conference on Machine Learning, 2017

Support Regularized Sparse Coding and Its Fast Encoder.
Proceedings of the 5th International Conference on Learning Representations, 2017

Neuro-Symbolic Program Synthesis.
Proceedings of the 5th International Conference on Learning Representations, 2017

Learning to superoptimize programs.
Proceedings of the 5th International Conference on Learning Representations, 2017

Vision-as-Inverse-Graphics: Obtaining a Rich 3D Explanation of a Scene from a Single Image.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

DeepContext: Context-Encoding Neural Pathways for 3D Holistic Scene Understanding.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Realistic Dynamic Facial Textures from a Single Image Using GANs.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Raster-to-Vector: Revisiting Floorplan Transformation.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Neural Scene De-rendering.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Efficient and precise interactive hand tracking through joint, continuous optimization of pose and correspondences.
ACM Trans. Graph., 2016

Fusion4D: real-time performance capture of challenging scenes.
ACM Trans. Graph., 2016

Time-Sensitive Bayesian Information Aggregation for Crowdsourcing Systems.
J. Artif. Intell. Res., 2016

Inducing Interpretable Representations with Variational Autoencoders.
CoRR, 2016

A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Stories.
CoRR, 2016

Multi-way Particle Swarm Fusion.
CoRR, 2016

Deep Multi-Modal Image Correspondence Learning.
CoRR, 2016

Summary - TerpreT: A Probabilistic Programming Language for Program Induction.
CoRR, 2016

TerpreT: A Probabilistic Programming Language for Program Induction.
CoRR, 2016

Memory-augmented Attention Modelling for Videos.
CoRR, 2016

Learning to superoptimize programs - Workshop Version.
CoRR, 2016


Political Dimensionality Estimation Using a Probabilistic Graphical Model.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

MSR System Description - TAC 2016 KBP Cold Start Slof Filling Track.
Proceedings of the 2016 Text Analysis Conference, 2016

Story Cloze Evaluator: Vector Space Representation Evaluation by Predicting What Happens Next.
Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP, 2016

Batched Gaussian Process Bandit Optimization via Determinantal Point Processes.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Adaptive Neural Compilation.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories.
Proceedings of the NAACL HLT 2016, 2016


Overcoming Occlusion with Inverse Graphics.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Deep Disentangled Representations for Volumetric Reconstruction.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Efficient Continuous Relaxations for Dense CRF.
Proceedings of the Computer Vision - ECCV 2016, 2016

The Global Patch Collider.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Layered Scene Decomposition via the Occlusion-CRF.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Learning to Navigate the Energy Landscape.
Proceedings of the Fourth International Conference on 3D Vision, 2016

2015
MobileFusion: Real-Time Volumetric Surface Reconstruction and Dense Tracking on Mobile Phones.
IEEE Trans. Vis. Comput. Graph., 2015

SemanticPaint: Interactive 3D Labeling and Learning at your Fingertips.
ACM Trans. Graph., 2015

Fast and accurate scene text understanding with image binarization and off-the-shelf OCR.
Int. J. Document Anal. Recognit., 2015

PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions.
CoRR, 2015

CO2 Forest: Improved Random Forest by Continuous Optimization of Oblique Splits.
CoRR, 2015

Dynamic SfM: Detecting Scene Changes from Image Pairs.
Comput. Graph. Forum, 2015

Language Understanding in the Wild: Combining Crowdsourcing and Machine Learning.
Proceedings of the 24th International Conference on World Wide Web, 2015

Motion Segmentation of Truncated Signed Distance Function Based Volumetric Surfaces.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Minimizing Expected Losses in Perturbation Models with Multidimensional Parametric Min-cuts.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

SemanticPaint: interactive segmentation and learning of 3D world.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2015

Efficient Non-greedy Optimization of Decision Trees.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Deep Convolutional Inverse Graphics Network.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Information Gathering in Networks via Active Exploration.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Opening the Black Box: Hierarchical Sampling Optimization for Estimating Human Hand Pose.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Learning to Hire Teams.
Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing, 2015

Faster and More Dynamic Maximum Flow by Incremental Breadth-First Search.
Proceedings of the Algorithms - ESA 2015, 2015

Sparse projections for high-dimensional binary codes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Computationally bounded retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Picture: A probabilistic programming language for scene perception.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Accurate, Robust, and Flexible Real-time Hand Tracking.
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015

Consensus Message Passing for Layered Graphical Models.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Semantic Image Segmentation.
Computer Vision, A Reference Guide, 2014

Learning to be a depth camera for close-range human capture and interaction.
ACM Trans. Graph., 2014

Relating Things and Stuff via ObjectProperty Interactions.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Efficient Energy Minimization for Enforcing Label Statistics.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Associative Hierarchical Random Fields.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Image Segmentation UsingHigher-Order Correlation Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Manifestations of user personality in website choice and behaviour on online social networks.
Mach. Learn., 2014

Inverse Graphics with Probabilistic CAD Models.
CoRR, 2014

Memory Bounded Deep Convolutional Networks.
CoRR, 2014

Real-Time Symmetry-Preserving Deformation.
Comput. Graph. Forum, 2014

Symmetry-Aware Template Deformation and Fitting.
Comput. Graph. Forum, 2014

Community-based bayesian aggregation models for crowdsourcing.
Proceedings of the 23rd International World Wide Web Conference, 2014

A large-scale exploration of group viewing patterns.
Proceedings of the ACM International Conference on Interactive Experiences for TV and Online Video, 2014

Just-In-Time Learning for Fast and Flexible Inference.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

On user behaviour adaptation under interface change.
Proceedings of the 19th International Conference on Intelligent User Interfaces, 2014

FLARE: Fast layout for augmented reality applications.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2014

Multi-utility Learning: Structured-Output Learning with Multiple Annotation-Specific Loss Functions.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2014

A Contour Completion Model for Augmenting Surface Reconstructions.
Proceedings of the Computer Vision - ECCV 2014, 2014

Perceptually Inspired Layout-Aware Losses for Image Segmentation.
Proceedings of the Computer Vision - ECCV 2014, 2014

Non-parametric Higher-Order Random Fields for Image Segmentation.
Proceedings of the Computer Vision - ECCV 2014, 2014

Gesture Recognition Portfolios for Personalization.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Multi-output Learning for Camera Relocalization.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Filter Forests for Learning Data-Dependent Convolutional Kernels.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

The cost of principles: analyzing power in compatibility weighted voting games.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Your digital image: factors behind demographic and psychometric predictions from social network profiles.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Efficiently Enforcing Diversity in Multi-Output Structured Prediction.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Real-Time Face Reconstruction from a Single Depth Image.
Proceedings of the 2nd International Conference on 3D Vision, 2014

Efficient Submodular Function Minimization for Computer Vision.
Proceedings of the Tractability: Practical Approaches to Hard Problems, 2014

2013
Key Developments in Human Pose Estimation for Kinect.
Proceedings of the Consumer Depth Cameras for Computer Vision, 2013

Task-Specific Image Partitioning.
IEEE Trans. Image Process., 2013

Efficient Human Pose Estimation from Single Depth Images.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Inference Methods for CRFs with Co-occurrence Statistics.
Int. J. Comput. Vis., 2013

Efficient Energy Minimization for Enforcing Statistics.
CoRR, 2013

Multi-dimensional Parametric Mincuts for Constrained MAP Inference.
CoRR, 2013

A two-layer Conditional Random Field for the classification of partially occluded objects.
CoRR, 2013

Partition-Merge: Distributed Inference and Modularity Optimization.
CoRR, 2013

Decision Jungles: Compact and Rich Models for Classification.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Synthetic training in object detection.
Proceedings of the IEEE International Conference on Image Processing, 2013

Image Binarization for End-to-End Text Understanding in Natural Images.
Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

3D Scene Understanding by Voxel-CRF.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Spatial Inference Machines.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Compressible Motion Fields.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

GeoF: Geodesic Forests for Learning Coupled Predictors.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

A Principled Deep Random Field Model for Image Segmentation.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

DivMCuts: Faster Training of Structural SVMs with Diverse M-Best Cutting-Planes.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

A Fast Bandit Algorithm for Recommendation to Users With Heterogenous Tastes.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Optimal Coalition Structure Generation in Cooperative Graph Games.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
On Detection of Multiple Object Instances Using Hough Transforms.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Learning Low-order Models for Enforcing High-order Statistics.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Geometric Image Parsing in Man-Made Environments.
Int. J. Comput. Vis., 2012

User-Centric Learning and Evaluation of Interactive Segmentation Systems.
Int. J. Comput. Vis., 2012

SimpleFlow: A Non-iterative, Sublinear Optical Flow Algorithm.
Comput. Graph. Forum, 2012

Colonel Blotto on Facebook: the effect of social relations on strategic interaction.
Proceedings of the Web Science 2012, 2012

Personality and patterns of Facebook usage.
Proceedings of the Web Science 2012, 2012

Context-Sensitive Decision Forests for Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Multiple Choice Learning: Learning to Produce Multiple Structured Outputs.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Higher-order density consistency potentials for Discrete Tomography.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

A Convex Discrete-Continuous Approach for Markov Random Fields.
Proceedings of the Computer Vision - ECCV 2012, 2012

Indoor Segmentation and Support Inference from RGBD Images.
Proceedings of the Computer Vision - ECCV 2012, 2012

Latent Hough Transform for Object Detection.
Proceedings of the Computer Vision - ECCV 2012, 2012

Large-Lexicon Attribute-Consistent Text Recognition in Natural Images.
Proceedings of the Computer Vision - ECCV 2012, 2012

Relating Things and Stuff by High-Order Potential Modeling.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Learning to Efficiently Detect Repeatable Interest Points in Depth Data.
Proceedings of the Computer Vision - ECCV 2012, 2012

Curvature Prior for MRF-Based Segmentation and Shape Inpainting.
Proceedings of the Pattern Recognition, 2012

Conditional regression forests for human pose estimation.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Instructing people for training gestural interactive systems.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2012

MAP inference in Discrete Models.
Proceedings of the British Machine Vision Conference, 2012

2011
Tighter Relaxations for MAP-MRF Inference: A Local Primal-Dual Gap based Separation Algorithm.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Optimal Coalition Structures in Graph Games
CoRR, 2011

KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera.
Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology, 2011

KinectFusion: real-time dynamic 3D surface reconstruction and interaction.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2011

Higher-Order Correlation Clustering for Image Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

KinectFusion: Real-time dense surface mapping and tracking.
Proceedings of the 10th IEEE International Symposium on Mixed and Augmented Reality, 2011

Dynamic Tree Block Coordinate Ascent.
Proceedings of the 28th International Conference on Machine Learning, 2011

Decision tree fields.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Efficient regression of general-activity human poses from depth images.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Putting MAP Back on the Map.
Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011

Variable grouping for energy minimization.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Object stereo - Joint stereo matching and object segmentation.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Making the right moves: Guiding alpha-expansion using local primal-dual gaps.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Transforming Image Completion.
Proceedings of the British Machine Vision Conference, 2011

Team coverage games.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

Rip-off: playing the cooperative negotiation game.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

2010
Dynamic Graph Cuts and Their Applications in Computer Vision.
Proceedings of the Computer Vision: Detection, Recognition and Reconstruction, 2010

Dynamic Hybrid Algorithms for MAP Inference in Discrete MRFs.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Exact and Approximate Inference in Associative Hierarchical Networks using Graph Cuts.
Proceedings of the UAI 2010, 2010

Learning an interactive segmentation system.
Proceedings of the Seventh Indian Conference on Computer Vision, 2010

Energy Minimization under Constraints on Label Counts.
Proceedings of the Computer Vision, 2010

Graph Cut Based Inference with Co-occurrence Statistics.
Proceedings of the Computer Vision - ECCV 2010, 2010

TriangleFlow: Optical Flow with Triangulation-Based Higher-Order Likelihoods.
Proceedings of the Computer Vision, 2010

Uncertainty Driven Multi-scale Optimization.
Proceedings of the Pattern Recognition, 2010

A spatially varying PSF-based prior for alpha matting.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Energy minimization for linear envelope MRFs.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Surface stereo with soft segmentation.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Coalitional Structure Generation in Skill Games.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
P³ & Beyond: Move Making Algorithms for Solving Higher Order Functions.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Robust Higher Order Potentials for Enforcing Label Consistency.
Int. J. Comput. Vis., 2009

Learning an Interactive Segmentation System
CoRR, 2009

Local Rules for Global MAP: When Do They Work ?
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Image segmentation with a bounding box prior.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Associative hierarchical CRFs for object class image segmentation.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Minimizing sparse higher order energy functions of discrete variables.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

A perceptually motivated online benchmark for image matting.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Unwrap mosaics: a new representation for video editing.
ACM Trans. Graph., 2008

Simultaneous Segmentation and Pose Estimation of Humans Using Dynamic Graph Cuts.
Int. J. Comput. Vis., 2008

Measuring uncertainty in graph cut solutions.
Comput. Vis. Image Underst., 2008

On partial optimality in multi-label MRFs.
Proceedings of the Machine Learning, 2008

Learning CRFs Using Graph Cuts.
Proceedings of the Computer Vision, 2008

Exact inference in multi-label CRFs with higher order cliques.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Reduce, reuse & recycle: Efficiently solving multi-label MRFs.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Minimizing dynamic and higher order energy functions using graph cuts.
PhD thesis, 2007

Dynamic Graph Cuts for Efficient Inference in Markov Random Fields.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

P3 & Beyond: Solving Energies with Higher Order Cliques.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Using Strong Shape Priors for Stereo.
Proceedings of the Computer Vision, Graphics and Image Processing, 5th Indian Conference, 2006

OBJCUT for Face Detection.
Proceedings of the Computer Vision, Graphics and Image Processing, 5th Indian Conference, 2006

Measuring Uncertainty in Graph Cut Solutions - Efficiently Computing Min-marginal Energies Using Dynamic Graph Cuts.
Proceedings of the Computer Vision, 2006

PoseCut: Simultaneous Segmentation and 3D Pose Estimation of Humans Using Dynamic Graph-Cuts.
Proceedings of the Computer Vision, 2006

2005
Effciently Solving Dynamic Markov Random Fields Using Graph Cuts.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

2003
A New Genetic Algorithm Based Scheme for Inferring Finite State Machines From Accept/Reject Data Samples.
Proceedings of the 1st Indian International Conference on Artificial Intelligence, 2003

A Classifier System Based on Evolved Finite State Machines.
Proceedings of the 1st Indian International Conference on Artificial Intelligence, 2003


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