John W. Fisher III

Affiliations:
  • Massachusetts Institute of Technology (MIT), CSAIL


According to our database1, John W. Fisher III authored at least 125 papers between 1995 and 2022.

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Bibliography

2022
Robotic Planning under Uncertainty in Spatiotemporal Environments in Expeditionary Science.
CoRR, 2022

CPU- and GPU-based Distributed Sampling in Dirichlet Process Mixtures for Large-scale Analysis.
CoRR, 2022

2020
Lightweight Data Fusion with Conjugate Mappings.
CoRR, 2020

Efficient Data Association and Uncertainty Quantification for Multi-Object Tracking.
CoRR, 2020

Sequential Bayesian Experimental Design with Variable Cost Structure.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Belief-Dependent Macro-Action Discovery in POMDPs using the Value of Information.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Nonparametric Object and Parts Modeling With Lie Group Dynamics.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Distributed MCMC Inference in Dirichlet Process Mixture Models Using Julia.
Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

Variational Information Planning for Sequential Decision Making.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Information-Driven Adaptive Structured-Light Scanners.
IEEE Trans. Computational Imaging, 2018

The Manhattan Frame Model - Manhattan World Inference in the Space of Surface Normals.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Information Planning for Text Data.
CoRR, 2018

Task-Specific Sensor Planning for Robotic Assembly Tasks.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

A Robust Approach to Sequential Information Theoretic Planning.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Transformations Based on Continuous Piecewise-Affine Velocity Fields.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Direction-Aware Semi-Dense SLAM.
CoRR, 2017

A Nonparametric Model for Multimodal Collaborative Activities Summarization.
CoRR, 2017

Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

On the Role of Representations for Reasoning in Large-Scale Urban Scenes.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
Efficient Globally Optimal Point Cloud Alignment using Bayesian Nonparametric Mixtures.
CoRR, 2016

Efficient Observation Selection in Probabilistic Graphical Models Using Bayesian Lower Bounds.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Estimating the Partition Function by Discriminance Sampling.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Probabilistic Variational Bounds for Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Streaming, Distributed Variational Inference for Bayesian Nonparametrics.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Real-time manhattan world rotation estimation in 3D.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Coresets for visual summarization with applications to loop closure.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Adaptive Belief Propagation.
Proceedings of the 32nd International Conference on Machine Learning, 2015

A fast method for inferring high-quality simply-connected superpixels.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Highly-Expressive Spaces of Well-Behaved Transformations: Keeping it Simple.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Semantically-Aware Aerial Reconstruction from Multi-modal Data.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

On the complexity of information planning in Gaussian models.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Efficient information planning in Gaussian MRFs.
Proceedings of the 18th International Conference on Information Fusion, 2015

Boosting crowdsourcing with expert labels: Local vs. global effects.
Proceedings of the 18th International Conference on Information Fusion, 2015

Small-variance nonparametric clustering on the hypersphere.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

A Dirichlet Process Mixture Model for Spherical Data.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

A Theoretical Analysis of Optimization by Gaussian Continuation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Coresets for k-Segmentation of Streaming Data.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Parallel Sampling of HDPs using Sub-Cluster Splits.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Bayesian nonparametric modeling of driver behavior.
Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

Coarse-to-Fine Minimization of Some Common Nonconvexities.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2014

On the Link between Gaussian Homotopy Continuation and Convex Envelopes.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2014

Bayesian Nonparametric Intrinsic Image Decomposition.
Proceedings of the Computer Vision - ECCV 2014, 2014

A Mixture of Manhattan Frames: Beyond the Manhattan World.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Aerial Reconstructions via Probabilistic Data Fusion.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Bayesian Switching Interaction Analysis Under Uncertainty.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Parallel Sampling of DP Mixture Models using Sub-Cluster Splits.
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

Topology-Constrained Layered Tracking with Latent Flow.
Proceedings of the IEEE International Conference on Computer Vision, 2013

A Video Representation Using Temporal Superpixels.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Efficient Sampling from Combinatorial Space via Bridging.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Theoretical guarantees on penalized information gathering.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Coupling Nonparametric Mixtures via Latent Dirichlet Processes.
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

Efficient topology-controlled sampling of implicit shapes.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Learning Deformations with Parallel Transport.
Proceedings of the Computer Vision - ECCV 2012, 2012

Low level vision via switchable Markov random fields.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Manifold guided composite of Markov random fields for image modeling.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Efficient MCMC sampling with implicit shape representations.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Learning graphical models for hypothesis testing and classification.
IEEE Trans. Signal Process., 2010

Construction of Dependent Dirichlet Processes based on Poisson Processes.
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

Modeling and estimating persistent motion with geometric flows.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Tractable Bayesian Inference of Time-Series Dependence Structure.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Analysis of orientation and scale in smoothly varying textures.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Automatic registration of LIDAR and optical images of urban scenes.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Learning visual flows: A Lie algebraic approach.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Sparse Representation in Structured Dictionaries With Application to Synthetic Aperture Radar.
IEEE Trans. Signal Process., 2008

Learning max-weight discriminative forests.
Proceedings of the IEEE International Conference on Acoustics, 2008

MCMC curve sampling and geometric conditional simulation.
Proceedings of the Computational Imaging VI, 2008

Interaction analysis using switching structured autoregressive models.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007
Approximate Dynamic Programming for Communication-Constrained Sensor Network Management.
IEEE Trans. Signal Process., 2007

Detection and Localization of Material Releases With Sparse Sensor Configurations.
IEEE Trans. Signal Process., 2007

Using the logarithm of odds to define a vector space on probabilistic atlases.
Medical Image Anal., 2007

Performance Guarantees for Information Theoretic Active Inference.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Dynamic Factorization Tests: Applications to Multi-modal Data Association.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Combining object and feature dynamics in probabilistic tracking.
Comput. Vis. Image Underst., 2007

MCMC Curve Sampling for Image Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Detecting Cortical Surface Regions in Structural MR Data.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Performance Guarantees for Information Theoretic Sensor Resource Management.
Proceedings of the IEEE International Conference on Acoustics, 2007

Dynamic Dependency Tests for Audio-Visual Speaker Association.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Distributed fusion in sensor networks.
IEEE Signal Process. Mag., 2006

A Bayesian model for joint segmentation and registration.
NeuroImage, 2006

Logarithm Odds Maps for Shape Representation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Detection and Localization of Material Releases with Sparse Sensor Configurations.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Importance sampling actor-critic algorithms.
Proceedings of the American Control Conference, 2006

2005
A Nonparametric Statistical Method for Image Segmentation Using Information Theory and Curve Evolution.
IEEE Trans. Image Process., 2005

Nonparametric belief propagation for self-localization of sensor networks.
IEEE J. Sel. Areas Commun., 2005

Loopy Belief Propagation: Convergence and Effects of Message Errors.
J. Mach. Learn. Res., 2005

Incorporating Object Tracking Feedback into Background Maintenance Framework.
Proceedings of the 7th IEEE Workshop on Applications of Computer Vision / IEEE Workshop on Motion and Video Computing (WACV/MOTION 2005), 2005

A Unifying Approach to Registration, Segmentation, and Intensity Correction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

Optimization approaches to dynamic routing of measurements and models in a sensor network object tracking problem.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Estimating dependency and significance for high-dimensional data.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Shape Based Segmentation of Anatomical Structures in Magnetic Resonance Images.
Proceedings of the Computer Vision for Biomedical Image Applications, 2005

2004
Nonparametric hypothesis tests for statistical dependency.
IEEE Trans. Signal Process., 2004

Speaker association with signal-level audiovisual fusion.
IEEE Trans. Multim., 2004

Message Errors in Belief Propagation.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Exact MAP Activity Detection in f MRI Using a GLM with an Ising Spatial Prior.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Nonparametric belief propagation for self-calibration in sensor networks.
Proceedings of the Third International Symposium on Information Processing in Sensor Networks, 2004

Nonparametric belief propagation for sensor self-calibration.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Combining Simple Models to Approximate Complex Dynamics.
Proceedings of the Statistical Methods in Video Processing, 2004

2003
Detection and Analysis of Anisotropic Scattering in SAR Data.
Multidimens. Syst. Signal Process., 2003

ICA Using Spacings Estimates of Entropy.
J. Mach. Learn. Res., 2003

Hypothesis Testing over Factorizations for Data Association.
Proceedings of the Information Processing in Sensor Networks, 2003

Maximum Mutual Information Principle for Dynamic Sensor Query Problems.
Proceedings of the Information Processing in Sensor Networks, 2003

A Unified Statistical and Information Theoretic Framework for Multi-modal Image Registration.
Proceedings of the Information Processing in Medical Imaging, 2003

A Unified Variational Approach to Denoising and Bias Correction in MR.
Proceedings of the Information Processing in Medical Imaging, 2003

A multi-modal approach for determining speaker location and focus.
Proceedings of the 5th International Conference on Multimodal Interfaces, 2003

Learning cross-modal appearance models with application to tracking.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

Incorporating complex statistical information in active contour-based image segmentation.
Proceedings of the 2003 International Conference on Image Processing, 2003

2002
Statistical and Information-Theoretic Methods for Self-Organization and Fusion of Multimodal, Networked Sensors.
Int. J. High Perform. Comput. Appl., 2002

Recovering Articulated Model Topology from Observed Rigid Motion.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Nonparametric methods for image segmentation using information theory and curve evolution.
Proceedings of the 2002 International Conference on Image Processing, 2002

Informative subspaces for audio-visual processing: High-level function from low-level fusion.
Proceedings of the IEEE International Conference on Acoustics, 2002

Face Recognition from Long-Term Observations.
Proceedings of the Computer Vision, 2002

Probabalistic Models and Informative Subspaces for Audiovisual Correspondence.
Proceedings of the Computer Vision, 2002

2001
Signal level fusion for multimodal perceptual user interface.
Proceedings of the 2001 workshop on Perceptive user interfaces, 2001

Adaptive Entropy Rates for f MRI Time-Series Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001

Nonparametric estimators for online signature authentication.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Learning from Examples with Information Theoretic Criteria.
J. VLSI Signal Process., 2000

Learning Joint Statistical Models for Audio-Visual Fusion and Segregation.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Incorporating Spatial Priors into an Information Theoretic Approach for <i>f</i>MRI Data Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2000

Ausio-visual Segmentation and "The Cocktail Party Effect".
Proceedings of the Advances in Multimodal Interfaces, 2000

1999
Learning Informative Statistics: A Nonparametnic Approach.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Analysis of Functional MRI Data Using Mutual Information.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1999

1998
Target discrimination in synthetic aperture radar using artificial neural networks.
IEEE Trans. Image Process., 1998

A novel measure for independent component analysis (ICA).
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1995
A nonlinear extension of the MACE filter.
Neural Networks, 1995


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