Kevin Murphy

According to our database1, Kevin Murphy authored at least 146 papers between 1995 and 2019.

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Bibliography

2019
Unsupervised Learning of Object Structure and Dynamics from Videos.
CoRR, 2019

Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction.
CoRR, 2019

Contrastive Bidirectional Transformer for Temporal Representation Learning.
CoRR, 2019

Relational Action Forecasting.
CoRR, 2019

VideoBERT: A Joint Model for Video and Language Representation Learning.
CoRR, 2019

Unsupervised Discovery of Parts, Structure, and Dynamics.
CoRR, 2019

Stochastic Prediction of Multi-Agent Interactions from Partial Observations.
CoRR, 2019

NAS-Bench-101: Towards Reproducible Neural Architecture Search.
CoRR, 2019

NAS-Bench-101: Towards Reproducible Neural Architecture Search.
Proceedings of the 36th International Conference on Machine Learning, 2019

Unsupervised Discovery of Parts, Structure, and Dynamics.
Proceedings of the 7th International Conference on Learning Representations, 2019

Stochastic Prediction of Multi-Agent Interactions from Partial Observations.
Proceedings of the 7th International Conference on Learning Representations, 2019

Modeling Uncertainty with Hedged Instance Embeddings.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Composing Text and Image for Image Retrieval - An Empirical Odyssey.
CoRR, 2018

Modeling Uncertainty with Hedged Instance Embedding.
CoRR, 2018

Actor-Centric Relation Network.
CoRR, 2018

Tracking Emerges by Colorizing Videos.
CoRR, 2018

PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model.
CoRR, 2018

Fixing a Broken ELBO.
Proceedings of the 35th International Conference on Machine Learning, 2018

Generative Models of Visually Grounded Imagination.
Proceedings of the 6th International Conference on Learning Representations, 2018

Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification.
Proceedings of the Computer Vision - ECCV 2018, 2018

Tracking Emerges by Colorizing Videos.
Proceedings of the Computer Vision - ECCV 2018, 2018

Actor-Centric Relation Network.
Proceedings of the Computer Vision - ECCV 2018, 2018

PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model.
Proceedings of the Computer Vision - ECCV 2018, 2018

Progressive Neural Architecture Search.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Rethinking Spatiotemporal Feature Learning For Video Understanding.
CoRR, 2017

Progressive Neural Architecture Search.
CoRR, 2017

An Information-Theoretic Analysis of Deep Latent-Variable Models.
CoRR, 2017

Attention-based Extraction of Structured Information from Street View Imagery.
CoRR, 2017

Generative Models of Visually Grounded Imagination.
CoRR, 2017

Context-aware Captions from Context-agnostic Supervision.
CoRR, 2017

Deep Probabilistic Programming.
CoRR, 2017

Towards Accurate Multi-person Pose Estimation in the Wild.
CoRR, 2017

PixColor: Pixel Recursive Colorization.
CoRR, 2017

Semantic Instance Segmentation via Deep Metric Learning.
CoRR, 2017

Deep Probabilistic Programming.
Proceedings of the 5th International Conference on Learning Representations, 2017

Deep Variational Information Bottleneck.
Proceedings of the 5th International Conference on Learning Representations, 2017

Attention-Based Extraction of Structured Information from Street View Imagery.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

Improved Image Captioning via Policy Gradient optimization of SPIDEr.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Context-Aware Captions from Context-Agnostic Supervision.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Deep Metric Learning via Facility Location.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Towards Accurate Multi-person Pose Estimation in the Wild.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

PixColor: Pixel Recursive Colorization.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
A Review of Relational Machine Learning for Knowledge Graphs.
Proceedings of the IEEE, 2016

Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources.
IEEE Data Eng. Bull., 2016

Learnable Structured Clustering Framework for Deep Metric Learning.
CoRR, 2016

Optimization of image description metrics using policy gradient methods.
CoRR, 2016

Speed/accuracy trade-offs for modern convolutional object detectors.
CoRR, 2016

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs.
CoRR, 2016

Deep Variational Information Bottleneck.
CoRR, 2016

Detecting Events and Key Actors in Multi-person Videos.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Generation and Comprehension of Unambiguous Object Descriptions.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources.
PVLDB, 2015

Detecting events and key actors in multi-person videos.
CoRR, 2015

Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation.
CoRR, 2015

A Review of Relational Machine Learning for Knowledge Graphs: From Multi-Relational Link Prediction to Automated Knowledge Graph Construction.
CoRR, 2015

Generation and Comprehension of Unambiguous Object Descriptions.
CoRR, 2015

What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision.
CoRR, 2015

Efficient inference in occlusion-aware generative models of images.
CoRR, 2015

Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources.
CoRR, 2015

From Data Fusion to Knowledge Fusion.
CoRR, 2015

Probabilistic Label Relation Graphs with Ising Models.
CoRR, 2015

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform.
CoRR, 2015

Bayesian Dark Knowledge.
CoRR, 2015

TimeMachine: Timeline Generation for Knowledge-Base Entities.
CoRR, 2015

Bayesian dark knowledge.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

TimeMachine: Timeline Generation for Knowledge-Base Entities.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Im2Calories: Towards an Automated Mobile Vision Food Diary.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Probabilistic Label Relation Graphs with Ising Models.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
From Data Fusion to Knowledge Fusion.
PVLDB, 2014

Knowledge base completion via search-based question answering.
Proceedings of the 23rd International World Wide Web Conference, 2014

Knowledge vault: a web-scale approach to probabilistic knowledge fusion.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Large-Scale Object Classification Using Label Relation Graphs.
Proceedings of the Computer Vision - ECCV 2014, 2014

Canonicalizing Open Knowledge Bases.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Learning to Track and Identify Players from Broadcast Sports Videos.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Learning the Structure of Dynamic Probabilistic Networks
CoRR, 2013

Loopy Belief Propagation for Approximate Inference: An Empirical Study
CoRR, 2013

A Variational Approximation for Bayesian Networks with Discrete and Continuous Latent Variables
CoRR, 2013

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence (2012)
CoRR, 2013

Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
CoRR, 2013

The Factored Frontier Algorithm for Approximate Inference in DBNs
CoRR, 2013

From big data to big knowledge.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Bayesian structure learning using dynamic programming and MCMC
CoRR, 2012

Group Sparse Priors for Covariance Estimation
CoRR, 2012

Modeling Discrete Interventional Data using Directed Cyclic Graphical Models
CoRR, 2012

Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression.
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

Machine learning - a probabilistic perspective.
Adaptive computation and machine learning series, MIT Press, ISBN: 0262018020, 2012

2011
Piecewise Bounds for Estimating Bernoulli-Logistic Latent Gaussian Models.
Proceedings of the 28th International Conference on Machine Learning, 2011

Identifying players in broadcast sports videos using conditional random fields.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Multiscale Conditional Random Fields for Semi-supervised Labeling and Classification.
Proceedings of the Canadian Conference on Computer and Robot Vision, 2011

2010
Challenges and Solutions for Embedded and Networked Aerospace Software Systems.
Proceedings of the IEEE, 2010

Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Causal learning without DAGs.
Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010

Using the forest to see the trees: exploiting context for visual object detection and localization.
Commun. ACM, 2010

SNVMix: predicting single nucleotide variants from next-generation sequencing of tumors.
Bioinformatics, 2010

Review of "Probabilistic graphical models" by Koller and Friedman.
Artif. Intell., 2010

Variational bounds for mixed-data factor analysis.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Time-Bounded Sequential Parameter Optimization.
Proceedings of the Learning and Intelligent Optimization, 4th International Conference, 2010

Sequential Model-Based Parameter Optimization: an Experimental Investigation of Automated and Interactive Approaches.
Proceedings of the Experimental Methods for the Analysis of Optimization Algorithms., 2010

2009
A Hybrid Conditional Random Field for Estimating the Underlying Ground Surface From Airborne LiDAR Data.
IEEE Trans. Geoscience and Remote Sensing, 2009

Optimizing Costly Functions with Simple Constraints: A Limited-Memory Projected Quasi-Newton Algorithm.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Model-based clustering of array CGH data.
Bioinformatics, 2009

Modeling Discrete Interventional Data using Directed Cyclic Graphical Models.
Proceedings of the UAI 2009, 2009

Group Sparse Priors for Covariance Estimation.
Proceedings of the UAI 2009, 2009

Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models.
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

Sparse Gaussian graphical models with unknown block structure.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

An experimental investigation of model-based parameter optimisation: SPO and beyond.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008
LabelMe: A Database and Web-Based Tool for Image Annotation.
International Journal of Computer Vision, 2008

Structure learning in random fields for heart motion abnormality detection.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Sharing Visual Features for Multiclass and Multiview Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

Exact Bayesian structure learning from uncertain interventions.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Bayesian structure learning using dynamic programming and MCMC.
Proceedings of the UAI 2007, 2007

Modeling recurrent DNA copy number alterations in array CGH data.
Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

Efficient parameter estimation for RNA secondary structure prediction.
Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

Modeling changing dependency structure in multivariate time series.
Proceedings of the Machine Learning, 2007

A non-myopic approach to visual search.
Proceedings of the Fourth Canadian Conference on Computer and Robot Vision (CRV 2007), 2007

Figure-ground segmentation using a hierarchical conditional random field.
Proceedings of the Fourth Canadian Conference on Computer and Robot Vision (CRV 2007), 2007

Learning Graphical Model Structure Using L1-Regularization Paths.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Integrating copy number polymorphisms into array CGH analysis using a robust HMM.
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006

Accelerated training of conditional random fields with stochastic gradient methods.
Proceedings of the Machine Learning, 2006

Shared Features for Multiclass Object Detection.
Proceedings of the Toward Category-Level Object Recognition, 2006

Object Detection and Localization Using Local and Global Features.
Proceedings of the Toward Category-Level Object Recognition, 2006

2004
Contextual Models for Object Detection Using Boosted Random Fields.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Representing Hierarchical POMDPs as DBNs for Multi-scale Robot Localization.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

Sharing Features: Efficient Boosting Procedures for Multiclass Object Detection.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003
Graphical Model For Recognizing Scenes and Objects.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Context-based vision system for place and object recognition.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

2002
Dynamic Bayesian Networks for Audio-Visual Speech Recognition.
EURASIP J. Adv. Sig. Proc., 2002

A coupled HMM for audio-visual speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
The Factored Frontier Algorithm for Approximate Inference in DBNs.
Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Linear-time inference in Hierarchical HMMs.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks.
Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

1999
Loopy Belief Propagation for Approximate Inference: An Empirical Study.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

A Variational Approximation for Bayesian Networks with Discrete and Continuous Latent Variables.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Bayesian Map Learning in Dynamic Environments.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models.
Proceedings of the International Conference on Computer Vision, 1999

Vision-Based Speaker Detection Using Bayesian Networks.
Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999

1998
Learning the Structure of Dynamic Probabilistic Networks.
Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

1997
Space-Efficient Inference in Dynamic Probabilistic Networks.
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

1995
Automata-Theoretic Models of Mutation and Alignment.
Proceedings of the Third International Conference on Intelligent Systems for Molecular Biology, 1995


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