Pushmeet Kohli | Academic Influence

Pushmeet Kohli's Degrees

PhD Computer Science Oxford Brookes University

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Best Online PhD of Computer Science (Doctorates) 2025

Why Is Pushmeet Kohli Influential?

According to Wikipedia, Pushmeet Kohli is a computer scientist at Google DeepMind where he holds the position of Vice President of research for the "Secure and Reliable AI" and "AI for Science and Sustainability". Before joining DeepMind, he was partner scientist and director of research at Microsoft Research and a post-doctoral fellow at the University of Cambridge. Kohli's research investigates applications of machine learning and computer vision. He has also made contributions in game theory, discrete algorithms and psychometrics.

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Pushmeet Kohli's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Highly accurate protein structure prediction with AlphaFold (2021) (8720)
Indoor Segmentation and Support Inference from RGBD Images (2012) (4209)
KinectFusion: Real-time dense surface mapping and tracking (2011) (3829)
KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera (2011) (2230)
Relational inductive biases, deep learning, and graph networks (2018) (2037)
Improved protein structure prediction using potentials from deep learning (2020) (1753)
Robust Higher Order Potentials for Enforcing Label Consistency (2008) (1038)
Highly accurate protein structure prediction for the human proteome (2021) (1032)
Deep Convolutional Inverse Graphics Network (2015) (904)
AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models (2021) (831)
Associative hierarchical CRFs for object class image segmentation (2009) (706)
Protein complex prediction with AlphaFold-Multimer (2021) (682)
Holoportation: Virtual 3D Teleportation in Real-time (2016) (488)
A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories (2016) (479)
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning (2017) (475)
Accurate, Robust, and Flexible Real-time Hand Tracking (2015) (469)
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks (2018) (450)
The Neuro-Symbolic Concept Learner: Interpreting Scenes Words and Sentences from Natural Supervision (2019) (449)
Efficient regression of general-activity human poses from depth images (2011) (426)
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding (2018) (412)
Image segmentation with a bounding box prior (2009) (406)
Instructing people for training gestural interactive systems (2012) (405)
Fusion4D: real-time performance capture of challenging scenes (2016) (405)
On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models (2018) (396)
Efficient Human Pose Estimation from Single Depth Images (2013) (392)
Graph Cut Based Inference with Co-occurrence Statistics (2010) (373)
A perceptually motivated online benchmark for image matting (2009) (349)
A Dual Approach to Scalable Verification of Deep Networks (2018) (339)
RobustFill: Neural Program Learning under Noisy I/O (2017) (315)
Learning Disentangled Representations with Semi-Supervised Deep Generative Models (2017) (315)
On Detection of Multiple Object Instances Using Hough Transforms (2010) (313)
Visual Storytelling (2016) (312)
Learning CRFs Using Graph Cuts (2008) (311)
Personality and patterns of Facebook usage (2012) (307)
Graph Matching Networks for Learning the Similarity of Graph Structured Objects (2019) (303)
Efficient and precise interactive hand tracking through joint, continuous optimization of pose and correspondences (2016) (284)
Markov Random Fields for Vision and Image Processing (2011) (274)
Neuro-Symbolic Program Synthesis (2016) (267)
Are Labels Required for Improving Adversarial Robustness? (2019) (260)
Dynamic Graph Cuts for Efficient Inference in Markov Random Fields (2007) (256)
P3 & Beyond: Solving Energies with Higher Order Cliques (2007) (255)
CLEVRER: CoLlision Events for Video REpresentation and Reasoning (2019) (248)
A Unified View of Piecewise Linear Neural Network Verification (2017) (242)
Analysing Mathematical Reasoning Abilities of Neural Models (2019) (233)
Community-based bayesian aggregation models for crowdsourcing (2014) (232)
Adversarial Robustness through Local Linearization (2019) (231)
Manifestations of user personality in website choice and behaviour on online social networks (2014) (229)
Magnetic control of tokamak plasmas through deep reinforcement learning (2022) (224)
Efficiently solving dynamic Markov random fields using graph cuts (2005) (219)
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning (2017) (218)
Efficient Human Pose Estimation from Single Depth Images (2013) (218)
Programmatically Interpretable Reinforcement Learning (2018) (215)
Competition-level code generation with AlphaCode (2022) (213)
Tractability: Practical Approaches to Hard Problems (2013) (212)
PoseCut: Simultaneous Segmentation and 3D Pose Estimation of Humans Using Dynamic Graph-Cuts (2006) (201)
Effective gene expression prediction from sequence by integrating long-range interactions (2021) (200)
Minimizing sparse higher order energy functions of discrete variables (2009) (199)
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples (2020) (197)
Picture: A probabilistic programming language for scene perception (2015) (190)
KinectFusion: real-time dynamic 3D surface reconstruction and interaction (2011) (188)
Conditional regression forests for human pose estimation (2012) (188)
Unveiling the predictive power of static structure in glassy systems (2020) (184)
Object stereo — Joint stereo matching and object segmentation (2011) (183)
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis (2018) (171)
SimpleFlow: A Non‐iterative, Sublinear Optical Flow Algorithm (2012) (168)
Geometric Image Parsing in Man-Made Environments (2010) (165)
Learning to See Physics via Visual De-animation (2017) (164)
Multiple Choice Learning: Learning to Produce Multiple Structured Outputs (2012) (164)
Simultaneous Segmentation and Pose Estimation of Humans Using Dynamic Graph Cuts (2008) (164)
Advancing mathematics by guiding human intuition with AI (2021) (156)
Training verified learners with learned verifiers (2018) (154)
Memory Bounded Deep Convolutional Networks (2014) (154)
A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Stories (2016) (153)
Surface stereo with soft segmentation (2010) (153)
Opening the Black Box: Hierarchical Sampling Optimization for Estimating Human Hand Pose (2015) (143)
Higher-Order Correlation Clustering for Image Segmentation (2011) (141)
Contrastive Training for Improved Out-of-Distribution Detection (2020) (139)
Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13) (2019) (137)
Batched Large-scale Bayesian Optimization in High-dimensional Spaces (2017) (135)
3D Scene Understanding by Voxel-CRF (2013) (132)
Large-Lexicon Attribute-Consistent Text Recognition in Natural Images (2012) (129)
Learning to Understand Goal Specifications by Modelling Reward (2018) (129)
Decision tree fields (2011) (128)
Decision Jungles: Compact and Rich Models for Classification (2013) (124)
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions (2015) (122)
P³ & Beyond: Move Making Algorithms for Solving Higher Order Functions (2009) (121)
Raster-to-Vector: Revisiting Floorplan Transformation (2017) (120)
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation (2019) (120)
Neural Scene De-rendering (2017) (119)
Can Neural Networks Understand Logical Entailment? (2018) (118)
TerpreT: A Probabilistic Programming Language for Program Induction (2016) (117)
Degenerate Feedback Loops in Recommender Systems (2019) (117)
Applying and improving AlphaFold at CASP14 (2021) (111)
MobileFusion: Real-Time Volumetric Surface Reconstruction and Dense Tracking on Mobile Phones (2015) (110)
Learning to Navigate the Energy Landscape (2016) (109)
Exact inference in multi-label CRFs with higher order cliques (2008) (107)
SemanticPaint: Interactive 3D Labeling and Learning at your Fingertips (2015) (106)
Associative Hierarchical Random Fields (2014) (104)
Solving Mixed Integer Programs Using Neural Networks (2020) (104)
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning (2017) (103)
Image Segmentation UsingHigher-Order Correlation Clustering (2014) (101)
Measuring uncertainty in graph cut solutions (2008) (98)
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation (2019) (98)
Efficient Non-greedy Optimization of Decision Trees (2015) (98)
Pushing the frontiers of density functionals by solving the fractional electron problem (2021) (97)
Branch and Bound for Piecewise Linear Neural Network Verification (2019) (96)
Multi-output Learning for Camera Relocalization (2014) (93)
Batched Gaussian Process Bandit Optimization via Determinantal Point Processes (2016) (91)
Unwrap mosaics: a new representation for video editing (2008) (87)
Discovering faster matrix multiplication algorithms with reinforcement learning (2022) (85)
Solving Energies with Higher Order Cliques (2007) (82)
Sparse projections for high-dimensional binary codes (2015) (82)
Learning Continuous Semantic Representations of Symbolic Expressions (2016) (81)
CompILE: Compositional Imitation Learning and Execution (2018) (80)
Realistic Dynamic Facial Textures from a Single Image Using GANs (2017) (77)
Learning to be a depth camera for close-range human capture and interaction (2014) (77)
When Can We Use KinectFusion for Ground Truth Acquisition (2012) (77)
GeoF: Geodesic Forests for Learning Coupled Predictors (2013) (74)
A Principled Deep Random Field Model for Image Segmentation (2013) (73)
DeepContext: Context-Encoding Neural Pathways for 3D Holistic Scene Understanding (2016) (73)
Structured agents for physical construction (2019) (72)
An Alternative Surrogate Loss for PGD-based Adversarial Testing (2019) (71)
On partial optimality in multi-label MRFs (2008) (71)
Image Binarization for End-to-End Text Understanding in Natural Images (2013) (70)
Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming (2020) (69)
Neuro-Symbolic Program Corrector for Introductory Programming Assignments (2018) (68)
Piecewise Linear Neural Network verification: A comparative study (2017) (68)
Protein structure prediction using multiple deep neural networks in CASP13. (2019) (66)
Reduce, reuse & recycle: Efficiently solving multi-label MRFs (2008) (66)
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures (2018) (64)
Energy minimization for linear envelope MRFs (2010) (63)
Neural Program Meta-Induction (2017) (63)
A Fast Bandit Algorithm for Recommendation to Users With Heterogenous Tastes (2013) (62)
Inference Methods for CRFs with Co-occurrence Statistics (2013) (62)
Optimal Coalition Structure Generation in Cooperative Graph Games (2013) (60)
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities (2019) (59)
Coalitional Structure Generation in Skill Games (2010) (59)
Latent Hough Transform for Object Detection (2012) (54)
A Framework for robustness Certification of Smoothed Classifiers using F-Divergences (2020) (52)
Towards Robust Image Classification Using Sequential Attention Models (2019) (52)
Challenges in Detoxifying Language Models (2021) (51)
A Contour Completion Model for Augmenting Surface Reconstructions (2014) (50)
Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations (2019) (49)
Dynamic Hybrid Algorithms for MAP Inference in Discrete MRFs (2010) (49)
Faster and More Dynamic Maximum Flow by Incremental Breadth-First Search (2015) (48)
Filter Forests for Learning Data-Dependent Convolutional Kernels (2014) (47)
Computer Vision and Machine Learning with RGB-D Sensors (2014) (47)
Measuring Uncertainty in Graph Cut Solutions - Efficiently Computing Min-marginal Energies Using Dynamic Graph Cuts (2006) (47)
TriangleFlow: Optical Flow with Triangulation-Based Higher-Order Likelihoods (2010) (46)
Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs (2019) (45)
Efficient Neural Network Verification with Exactness Characterization (2019) (44)
FLARE: Fast layout for augmented reality applications (2014) (44)
Adaptive Neural Compilation (2016) (43)
Tighter Relaxations for MAP-MRF Inference: A Local Primal-Dual Gap based Separation Algorithm (2011) (43)
Efficiently Enforcing Diversity in Multi-Output Structured Prediction (2014) (43)
Personality and Website Choice (2012) (42)
Transforming Image Completion (2011) (42)
A spatially varying PSF-based prior for alpha matting (2010) (41)
Spatial Inference Machines (2013) (40)
Semantic Code Repair using Neuro-Symbolic Transformation Networks (2017) (39)
Lagrangian Decomposition for Neural Network Verification (2020) (38)
Learning to superoptimize programs (2016) (37)
Vision-as-Inverse-Graphics: Obtaining a Rich 3D Explanation of a Scene from a Single Image (2017) (36)
Making sense of sensory input (2019) (35)
Time-Sensitive Bayesian Information Aggregation for Crowdsourcing Systems (2015) (34)
Real-Time Face Reconstruction from a Single Depth Image (2014) (33)
Overcoming Occlusion with Inverse Graphics (2016) (33)
Gesture Recognition Portfolios for Personalization (2014) (33)
Dynamic Tree Block Coordinate Ascent (2011) (33)
Improved Branch and Bound for Neural Network Verification via Lagrangian Decomposition (2021) (33)
Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs (2021) (33)
The Global Patch Collider (2016) (33)
Learning to Follow Language Instructions with Adversarial Reward Induction (2018) (32)
A large-scale exploration of group viewing patterns (2014) (32)
Learning Low-order Models for Enforcing High-order Statistics (2012) (31)
Learning to Efficiently Detect Repeatable Interest Points in Depth Data (2012) (31)
Context-Sensitive Decision Forests for Object Detection (2012) (31)
Verification of Non-Linear Specifications for Neural Networks (2019) (30)
Curvature Prior for MRF-Based Segmentation and Shape Inpainting (2011) (30)
Learning an interactive segmentation system (2009) (30)
Efficient Continuous Relaxations for Dense CRF (2016) (28)
Key Developments in Human Pose Estimation for Kinect (2013) (28)
Language Understanding in the Wild: Combining Crowdsourcing and Machine Learning (2015) (28)
Non-parametric Higher-Order Random Fields for Image Segmentation (2014) (27)
Making the right moves: Guiding alpha-expansion using local primal-dual gaps (2011) (27)
Improved protein structure prediction using potentials from deep learning (2020) (27)
Fusion4D (2016) (27)
User-Centric Learning and Evaluation of Interactive Segmentation Systems (2012) (26)
Your digital image: factors behind demographic and psychometric predictions from social network profiles (2014) (26)
Graph Cuts for Minimizing Robust Higher Order Potentials (2008) (26)
Dynamic Graph Cuts and Their Applications in Computer Vision (2010) (26)
Story Cloze Evaluator: Vector Space Representation Evaluation by Predicting What Happens Next (2016) (26)
Deep disentangled representations for volumetric reconstruction (2016) (25)
Task-Specific Image Partitioning (2013) (25)
Energy Minimization under Constraints on Label Counts (2010) (25)
Value Propagation Networks (2018) (24)
Layered Scene Decomposition via the Occlusion-CRF (2016) (24)
REGAL: Transfer Learning For Fast Optimization of Computation Graphs (2019) (24)
Exact and Approximate Inference in Associative Hierarchical Networks using Graph Cuts (2010) (24)
On-The-Fly Testing of Reactive Systems (2005) (23)
Relating Things and Stuff via ObjectProperty Interactions (2014) (23)
Semantic Image Segmentation (2014) (22)
A Convex Discrete-Continuous Approach for Markov Random Fields (2012) (22)
Adversarially Robust Representations with Smooth Encoders (2020) (22)
Inverse Graphics with Probabilistic CAD Models (2014) (22)
Colonel Blotto on Facebook: the effect of social relations on strategic interaction (2012) (22)
Training Generative Adversarial Networks by Solving Ordinary Differential Equations (2020) (21)
Verification of deep probabilistic models (2018) (21)
Memory-augmented Attention Modelling for Videos (2016) (21)
Just-In-Time Learning for Fast and Flexible Inference (2014) (21)
Rip-off: playing the cooperative negotiation game (2011) (19)
Local Rules for Global MAP: When Do They Work ? (2009) (19)
Variable grouping for energy minimization (2011) (19)
Making sense of raw input (2021) (18)
Motion Segmentation of Truncated Signed Distance Function Based Volumetric Surfaces (2015) (18)
Self-supervised Adversarial Robustness for the Low-label, High-data Regime (2021) (18)
On user behaviour adaptation under interface change (2014) (18)
Strength in Numbers: Trading-off Robustness and Computation via Adversarially-Trained Ensembles (2018) (18)
Fast and accurate scene text understanding with image binarization and off-the-shelf OCR (2015) (18)
Learning Transferable Graph Exploration (2019) (18)
DivMCuts: Faster Training of Structural SVMs with Diverse M-Best Cutting-Planes (2013) (18)
OBJCUT for Face Detection (2006) (17)
Joint Texture and Geometry Optimization for RGB-D Reconstruction (2020) (17)
Relating Things and Stuff by High-Order Potential Modeling (2012) (17)
Dynamic SfM: Detecting Scene Changes from Image Pairs (2015) (16)
Information Gathering in Networks via Active Exploration (2015) (16)
Uncertainty Driven Multi-scale Optimization (2010) (15)
Minimizing dynamic and higher order energy functions using graph cuts (2010) (15)
Deep API Programmer: Learning to Program with APIs (2017) (15)
Relating Things and Stuff via Object Property Interactions. (2013) (14)
CO2 Forest: Improved Random Forest by Continuous Optimization of Oblique Splits (2015) (14)
Higher-Order Models in Computer Vision (2012) (14)
Deep Generative Vision as Approximate Bayesian Computation (2014) (14)
Computationally bounded retrieval (2015) (14)
AP: Artificial Programming (2017) (14)
Uncovering Surprising Behaviors in Reinforcement Learning via Worst-case Analysis (2018) (14)
Learning Disentangled Representations in Deep Generative Models (2017) (13)
The Autoencoding Variational Autoencoder (2020) (13)
Strong Generalization and Efficiency in Neural Programs (2020) (13)
Compressible Motion Fields (2013) (13)
Putting MAP Back on the Map (2011) (13)
Meta-Learning surrogate models for sequential decision making (2019) (13)
Opening the Black Box: Hierarchical Sampling Optimization for Hand Pose Estimation (2019) (12)
Toward Evaluating Robustness of Deep Reinforcement Learning with Continuous Control (2020) (12)
Learning to Hire Teams (2015) (12)
Symmetry‐Aware Template Deformation and Fitting (2014) (12)
The cost of principles: analyzing power in compatibility weighted voting games (2014) (12)
LP-relaxation of Binarized Energy Minimization ( Version 1 . 50 ) (2008) (12)
SemanticPaint: interactive segmentation and learning of 3D world (2015) (12)
Compositional Imitation Learning: Explaining and executing one task at a time (2018) (11)
A Dual Approach to Verify and Train Deep Networks (2019) (10)
Adapting Interaction Environments to Diverse Users through Online Action Set Selection (2014) (10)
Learning Shape Analysis (2017) (10)
Efficient Energy Minimization for Enforcing Label Statistics (2014) (9)
Optimal Coalition Structures in Graph Games (2011) (9)
Perceptually Inspired Layout-Aware Losses for Image Segmentation (2014) (9)
The Body is Not a Given: Joint Agent Policy Learning and Morphology Evolution (2019) (8)
SemanticPaint (2015) (8)
Real‐Time Symmetry‐Preserving Deformation (2014) (8)
Political Dimensionality Estimation Using a Probabilistic Graphical Model (2016) (7)
Learning representations of Logical Formulae using Graph Neural Networks (2019) (7)
Using Strong Shape Priors for Stereo (2006) (6)
Consensus Message Passing for Layered Graphical Models (2014) (6)
Decision Tree Fields: An Efficient Non-parametric Random Field Model for Image Labeling (2013) (6)
Inducing Interpretable Representations with Variational Autoencoders (2016) (6)
Bayesian Combination of Crowd-Based Tweet Sentiment Analysis Judgments (2013) (6)
Synthetic training in object detection (2013) (5)
Uncertainty Driven Multi-scale Energy Minimization (2010) (5)
Latent-Variable MDP Models for Adapting the Interaction Environment of Diverse Users (2014) (5)
Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications (2019) (5)
Efficient Relaxations for Dense CRFs with Sparse Higher Order Potentials (2018) (5)
Learning to Decipher the Heap for Program Verification (2016) (4)
Behavioral Game Theory on Online Social Networks : Colonel Blotto is on Facebook (2011) (4)
Towards Verified Robustness under Text Deletion Interventions (2020) (4)
Learning to Verify the Heap (2016) (4)
Deep Multi-Modal Image Correspondence Learning (2016) (4)
A two-layer Conditional Random Field for the classification of partially occluded objects (2013) (4)
Optimal Coalition Structures in Cooperative Graph Games (2011) (4)
Jointly Learning "What" and "How" from Instructions and Goal-States (2018) (4)
Multi-dimensional Parametric Mincuts for Constrained MAP Inference (2013) (3)
Evaluating the Apperception Engine (2020) (3)
Communicating Hierarchical Neural Controllers for Learning Zero-shot Task Generalization (2017) (3)
A New Genetic Algorithm Based Scheme for Inferring Finite State Machines From Accept/Reject Data Samples (2003) (2)
Ensemble Bayesian Optimization (2017) (2)
Learning to superoptimize programs - Workshop Version (2016) (2)
Mining Large-scale TV Group Viewing Patterns for Group Recommendation (2013) (2)
Atomistic graph networks for experimental materials property prediction (2021) (2)
Supplementary Material : Zero-Shot Task Generalization with MultiTask Deep Reinforcement Learning (2017) (2)
A Classifier System Based on Evolved Finite State Machines (2003) (1)
MAP inference in Discrete Models (2012) (1)
Efficient Continuous Relaxations for Dense CRF Supplementary Materials (2016) (1)
Geometric Image Parsing in Man-Made Environments (2011) (1)
Scalable Neural Learning for Verifiable Consistency with Temporal Specifications (2019) (1)
Minimizing Expected Losses in Perturbation Models with Multidimensional Parametric Min-cuts (2015) (1)
Towards transformation-resilient provenance detection of digital media (2020) (1)
Machine Learning and Model Checking Join Forces (Dagstuhl Seminar 18121) (2018) (1)
Measuring uncertainty in graph cut solutions (2008) (2008) (1)
1 Introduction to Markov Random Fields (2011) (1)
Scaling shared model governance via model splitting (2018) (1)
Building Collaborative Teams: A Local Navigation-based Approach (2014) (1)
Support Regularized Sparse Coding and Its Fast Encoder (2017) (1)
Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence (2014) (1)
Response to Comment on “Pushing the frontiers of density functionals by solving the fractional electron problem” (2022) (1)
Partition-Merge: Distributed Inference and Modularity Optimization (2013) (0)
Layered Scene Decomposition via the Occlusion-CRF Supplementary material (2016) (0)
Making Sense of Raw Input (Extended Abstract) (2022) (0)
Rip-off: Playing the Cooperative Negotiation Game (Extended Abstract) (2011) (0)
Inference Methods for CRFs with Co-occurrence Statistics (2012) (0)
Organizing Committee and Area Chairs (2018) (0)
Higher-order Models in Computer Vision Image Processing and Analysing Graphs: Theory and Practice Higher-order Models in Computer Vision 1.2 Higher-order Random Fields (0)
Higher-order density consistency potentials for Discrete Tomography (2012) (0)
Computing Expected Losses in Perturbation Models using Multidimensional Parametric Min-cuts (2014) (0)
S ELF-SUPERVISED A DVERSARIAL R OBUSTNESS FOR THE L OW-LABEL , H IGH-DATA R EGIME (2021) (0)
Supplementary Material for “ Multi-Output Learning for Camera Relocalization ” (2014) (0)
Team Coverage Games (Extended Abstract) (2011) (0)
User-Centric Learning and Evaluation of Interactive Segmentation Systems (2012) (0)
G RAD M ASK : Gradient-Guided Token Masking for Textual Adversarial Example Detection (2021) (0)
Multi-way Particle Swarm Fusion (2016) (0)
MSR System Description - TAC 2016 KBP Cold Start Slof Filling Track (2016) (0)
J OINTLY L EARNING “ W HAT ” AND “ H OW ” FROM I N-STRUCTIONS AND G OAL-S TATES (2018) (0)
Sparse Higher Order Functions of Discrete Variables --- Representation and Optimization (2011) (0)
Semantic Image Segmentation: Traditional Approach (2020) (0)
PARSE C ODING AND I TS F AST E NCODER (2017) (0)
Raster-to-Vector: Revisiting Floorplan Transformation Supplementary material (2017) (0)
Manifestations of user personality in website choice and behaviour on online social networks (2013) (0)
Efficient Submodular Function Minimization for Computer Vision (2014) (0)
Layout Design for Augmented Reality Applications (2014) (0)
L EARNING TO SUPEROPTIMIZE PROGRAMS (2017) (0)
Advanced Computer Vision(Module 5F16) (2017) (0)
AlphaFold: Improved protein structure prediction using (2019) (0)
Fast and accurate scene text understanding with image binarization and off-the-shelf OCR (2015) (0)
Scene Physics Acquisition via Visual De-animation (2017) (0)
Optimal Coalition Structures In Skill Games (2016) (0)
Explorer Vision-as-Inverse-Graphics : Obtaining a Rich 3 D Explanation of a Scene from a Single Image (2017) (0)
THE FUTURE OF AUDIOVISUAL STORY TELLING (2019) (0)
Generative models improve fairness of medical classifiers under distribution shifts (2023) (0)
Provenance detection through learning transformation-resilient watermarking (2019) (0)
Team coverage games (2011) (0)
Adaptive Exploration of Locally Satisfiable Proposals for Design Layout (2014) (0)
L G ] 1 0 A pr 2 01 9 Programmatically Interpretable Reinforcement Learning (2019) (0)
Multi-utility Learning: Structured-Output Learning with Multiple Annotation-Specific Loss Functions (2014) (0)
Supplementary: Training Generative Adversarial Networks by Solving Ordinary Differential Equations (2020) (0)
Appreciation to IJCV Reviewers (2012) (0)
Grounding Spatio-Temporal Language with Transformers (2022) (0)
VALUATION : A N ADVERSARIAL APPROACH TO UNCOVER CATASTROPHIC FAILURES (2019) (0)
Efficient Energy Minimization for Enforcing Statistics (2013) (0)
L G ] 8 J un 2 01 8 Programmatically Interpretable Reinforcement Learning (2018) (0)

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Pushmeet Kohli is affiliated with the following schools:

Oxford Brookes University