Anand Rangarajan
Orcid: 0000-0001-8695-8436Affiliations:
- University of Florida, Gainesville, FL, USA
- Yale University, New Haven, CT, USA (1991 - 2000)
- University of Southern California, Los Angeles, CA, USA (PhD 1990)
According to our database1,
Anand Rangarajan
authored at least 212 papers
between 1990 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Intell. Transp. Syst., July, 2024
Neural Comput., May, 2024
Attention Based Machine Learning Methods for Data Reduction with Guaranteed Error Bounds.
CoRR, 2024
CoRR, 2024
Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulation.
CoRR, 2024
A Data-driven Approach for Probabilistic Traffic Prediction and Simulation at Signalized Intersections.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Proceedings of the 20th IEEE International Conference on e-Science, 2024
Proceedings of the Data Compression Conference, 2024
Guaranteeing Error Bounds with Preservation of Derived Quantities in Compressive Autoencoders.
Proceedings of the Data Compression Conference, 2024
2023
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring.
SoftwareX, December, 2023
Learning Canonical Embeddings for Unsupervised Shape Correspondence With Locally Linear Transformations.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023
IEEE Trans. Intell. Transp. Syst., November, 2023
Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems, 2023
Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems, 2023
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
A Spatiotemporal Correspondence Approach to Unsupervised LiDAR Segmentation with Traffic Applications.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Nonlinear constraint satisfaction for compressive autoencoders using instance-specific linear operators.
Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing, 2023
Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing, 2023
Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023
Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation - A Case Study on Simulation Data with Extreme Climate Events Analysis.
Proceedings of the 19th IEEE International Conference on e-Science, 2023
Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest.
Proceedings of the 19th IEEE International Conference on e-Science, 2023
Constrained Autoencoders: Incorporating equality constraints in learned scientific data compression.
Proceedings of the Data Compression Conference, 2023
2022
Subcycle Waveform Modeling of Traffic Intersections Using Recurrent Attention Networks.
IEEE Trans. Intell. Transp. Syst., 2022
Machine-Learning-Based Real-Time Multi-Camera Vehicle Tracking and Travel-Time Estimation.
J. Imaging, 2022
Int. J. Intell. Transp. Syst. Res., 2022
Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition.
Proceedings of the SSDBM 2022: 34th International Conference on Scientific and Statistical Database Management, Copenhagen, Denmark, July 6, 2022
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
An Algorithmic and Software Pipeline for Very Large Scale Scientific Data Compression with Error Guarantees.
Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022
Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Physically-Augmented Deep Learning (PADL): Integration of Physical Context for Improved Seismic Event Discrimination.
Dataset, December, 2021
IEEE Trans. Intell. Transp. Syst., 2021
Remote. Sens., 2021
Int. J. Big Data Intell., 2021
Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems, 2021
Trajectory Prediction via Learning Motion Cluster Patterns in Curvilinear Coordinates.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
TQAM: Temporal Attention for Cycle-wise Queue Length Estimation using High-Resolution Loop Detector Data.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
2020
Intelligent Intersection: Two-stream Convolutional Networks for Real-time Near-accident Detection in Traffic Video.
ACM Trans. Spatial Algorithms Syst., 2020
IEEE Trans. Image Process., 2020
An Integrated Approach to Registration and Fusion of Hyperspectral and Multispectral Images.
IEEE Trans. Geosci. Remote. Sens., 2020
CoRR, 2020
A Data Driven Approach to Derive Traffic Intersection Geography using High Resolution Controller Logs.
Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems, 2020
Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems, 2020
Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems, 2020
Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems, 2020
Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems, 2020
Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems, 2020
A Platoon Matching Approach for the Estimation of Arterial Travel Time Distributions.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Unsupervised Summarization and Change Detection in High-Resolution Signalized Intersection Datasets.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
A Scalable Data Analytics and Visualization System for City-wide Traffic Signal Data-sets.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Proceedings of the 27th IEEE International Conference on High Performance Computing, 2020
Proceedings of the Fifth International Conference on Fog and Mobile Edge Computing, 2020
2019
Analyzing Traffic Signal Performance Measures to Automatically Classify Signalized Intersections.
Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems, 2019
Deep Learning based Geometric Features for Effective Truck Selection and Classification from Highway Videos.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Proceedings of the 2019 Twelfth International Conference on Contemporary Computing, 2019
2018
A Gaussian Mixture Model Representation of Endmember Variability in Hyperspectral Unmixing.
IEEE Trans. Image Process., 2018
IEEE Trans. Image Process., 2018
Spatial Scaling Using Temporal Correlations and Ensemble Learning to Obtain High-Resolution Soil Moisture.
IEEE Trans. Geosci. Remote. Sens., 2018
Supervoxel-based segmentation of 3D imagery with optical flow integration for spatiotemporal processing.
IPSJ Trans. Comput. Vis. Appl., 2018
An Efficient Deep Representation Based Framework for Large-Scale Terrain Classification.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018
Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018
Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification.
Proceedings of the AMIA 2018, 2018
2017
Utilizing Self-Regularized Regressive Models to Downscale Microwave Brightness Temperatures for Agricultural Land Covers in the SMAPVEX-12 Region.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017
Graph-based semi-supervised classification on very high resolution remote sensing images.
Int. J. Big Data Intell., 2017
A spatio-temporal data fusion algorithm for estimating high-resolution soil moisture in agricultural regions.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Proceedings of the 15th IEEE Intl Conf on Dependable, 2017
Nonrigid Registration of Hyperspectral and Color Images with Vastly Different Spatial and Spectral Resolutions for Spectral Unmixing and Pansharpening.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017
2016
A Spatial Compositional Model for Linear Unmixing and Endmember Uncertainty Estimation.
IEEE Trans. Image Process., 2016
Disaggregation of Remotely Sensed Soil Moisture in Heterogeneous Landscapes Using Holistic Structure-Based Models.
IEEE Trans. Geosci. Remote. Sens., 2016
J. Math. Imaging Vis., 2016
Spatial Scaling of Satellite Soil Moisture using Temporal Correlations and Ensemble Learning.
CoRR, 2016
CoRR, 2016
A Gaussian mixture model representation of endmember variability for spectral unmixing.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016
Supervised learning for brain MR segmentation via fusion of partially labeled multiple atlases.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Image stack surface area minimization for groupwise and multimodal affine registration.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
Proceedings of the Computer Vision - ECCV 2016, 2016
Proceedings of the Computer Vision - ACCV 2016, 2016
2015
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
A spatial compositional model (SCM) for linear unmixing and endmember uncertainty estimation.
CoRR, 2015
Disaggregation of Remotely Sensed Soil Moisture in Heterogeneous Landscapes using Holistic Structure based Models.
CoRR, 2015
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Scalable Machine Learning Approaches for Neighborhood Classification Using Very High Resolution Remote Sensing Imagery.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Downscaling microwave brightness temperatures using self regularized regressive models.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
An uncertainty-driven approach to vortex analysis using oracle consensus and spatial proximity.
Proceedings of the 2015 IEEE Pacific Visualization Symposium, 2015
2014
Pattern Recognit. Lett., 2014
An integrated graph cuts segmentation and piece-wise convex unmixing approach for hyperspectral imaging.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014
A new energy minimization framework and sparse linear system for path planning and shape from shading.
Proceedings of the 2014 Indian Conference on Computer Vision, 2014
A Schrödinger formalism for simultaneously computing the Euclidean distance transform and its gradient density.
Proceedings of the 2014 Indian Conference on Computer Vision, 2014
Shape from Phase: An Integrated Level Set and Probability Density Shape Representation.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
An efficient computational framework for labeling large scale spatiotemporal remote sensing datasets.
Proceedings of the Seventh International Conference on Contemporary Computing, 2014
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014
A Riemannian Framework for Matching Point Clouds Represented by the Schrödinger Distance Transform.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
2013
IEEE Trans. Pattern Anal. Mach. Intell., 2013
2012
Distance Transform Gradient Density Estimation Using the Stationary Phase Approximation.
SIAM J. Math. Anal., 2012
NeuroImage, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
2011
IEEE Trans. Medical Imaging, 2011
Fast convolution-based methods for computing the signed distance function and its derivatives
CoRR, 2011
Mixture of Segmenters with Discriminative Spatial Regularization and Sparse Weight Selection.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
An information geometry approach to shape density Minimum Description Length model selection.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011
Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011
Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011
2010
A Method for Compact Image Representation Using Sparse Matrix and Tensor Projections Onto Exemplar Orthonormal Bases.
IEEE Trans. Image Process., 2010
Int. J. Comput. Vis., 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
CAVIAR: classification via aggregated regression and its application in classifying oasis brain database.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Proceedings of the Canadian Conference on Computer and Robot Vision, 2010
2009
Probability Density Estimation Using Isocontours and Isosurfaces: Applications to Information-Theoretic Image Registration.
IEEE Trans. Pattern Anal. Mach. Intell., 2009
Information Geometry for Landmark Shape Analysis: Unifying Shape Representation and Deformation.
IEEE Trans. Pattern Anal. Mach. Intell., 2009
A Schrödinger Equation for the Fast Computation of Approximate Euclidean Distance Functions.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009
Closed-Form Jensen-Renyi Divergence for Mixture of Gaussians and Applications to Group-Wise Shape Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009
A Schrödinger Wave Equation Approach to the Eikonal Equation: Application to Image Analysis.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2009
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2009
2008
Maximum Likelihood Wavelet Density Estimation With Applications to Image and Shape Matching.
IEEE Trans. Image Process., 2008
IEEE Trans. Pattern Anal. Mach. Intell., 2008
Beyond SVD: Sparse projections onto exemplar orthonormal bases for compact image representation.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008
2007
Medical Image Anal., 2007
Proceedings of the 8th IEEE Workshop on Applications of Computer Vision (WACV 2007), 2007
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
Pet Image Reconstruction Using Anatomical Information Through Mutual Information Based Priors: A Scale Space Approach.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
2006
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
Continuous image representations avoid the histogram binning problem in mutual information based image registration.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Shape analysis using the Fisher-Rao Riemannian metric: unifying shape representation and deformation.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Proceedings of the Computer Vision, 2006
Groupwise point pattern registration using a novel CDF-based Jensen-Shannon Divergence.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006
New Method of Probability Density Estimation with Application to Mutual Information Based Image Registration.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006
Proceedings of the Handbook of Mathematical Models in Computer Vision, 2006
2005
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
Multimodality Image Registration Using an Extensible Information Metric and High Dimensional Histogramming.
Proceedings of the Information Processing in Medical Imaging, 2005
2004
IEEE Trans. Pattern Anal. Mach. Intell., 2004
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
A New, Fast, Relaxation-Free, Convergent, Hessian-based, Ordered-Subsets Algorithm for Emission Tomography.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
Proceedings of the 2004 International Conference on Image Processing, 2004
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004
A New Joint Clustering and Diffeomorphism Estimation Algorithm for Non-Rigid Shape Matching.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004
2003
IEEE Trans. Medical Imaging, 2003
IEEE Trans. Medical Imaging, 2003
Medical Image Anal., 2003
Bayesian image reconstruction for transmission tomography using deterministic annealing.
J. Electronic Imaging, 2003
Comput. Vis. Image Underst., 2003
Bayesian Multimodality Non-rigid Image Registration via Conditional Density Estimation.
Proceedings of the Information Processing in Medical Imaging, 2003
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003
2002
IEEE Trans. Image Process., 2002
Proceedings of the Medical Imaging 2002: Image Processing, 2002
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2002
A new convergent MAP reconstruction algorithm for emission tomography using ordered subsets and separable surrogates.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002
2001
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
MIME: Mutual Information Minimization and Entropy Maximization for Bayesian Belief Propagation.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
Bayesian image reconstruction for transmission tomography using mixture model priors and deterministic annealing algorithms.
Proceedings of the Medical Imaging 2001: Image Processing, 2001
Proceedings of the Information Processing in Medical Imaging, 2001
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001
A Relationship between Spline-Based Deformable Models and Weighted Graphs in Non-Rigid Matching.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001
2000
Self-annealing and self-annihilation: unifying deterministic annealing and relaxation labeling.
Pattern Recognit., 2000
A Bayesian Joint Mixture Framework for the Integration of Anatomical Information in Functional Image Reconstruction.
J. Math. Imaging Vis., 2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000
Proceedings of the Artificial Neural Networks in Medicine and Biology, 2000
1999
Neural Comput., 1999
Entropy-Based, <i>Multiple</i>-Portal-to-3DCT Registration for Prostate Radiotherapy Using Iteratively Estimated Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1999
Proceedings of the Information Processing in Medical Imaging, 1999
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 1999
Proceedings of the Discrete Mathematical Problems with Medical Applications, 1999
1998
Pattern Recognit., 1998
A Novel Approach for the Registration of 2D Portal and 3D CT Images for Treatment Setup Verification in Radiotherapy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1998
1997
Medical Image Anal., 1997
Proceedings of the Information Processing in Medical Imaging, 1997
Proceedings of the Information Processing in Medical Imaging, 1997
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 1997
1996
IEEE Trans. Neural Networks, 1996
IEEE Trans. Pattern Anal. Mach. Intell., 1996
Learning with Preknowledge: Clustering with Point and Graph Matching Distance Measures.
Neural Comput., 1996
On the unification of line processes, outlier rejection, and robust statistics with applications in early vision.
Int. J. Comput. Vis., 1996
Proceedings of the Visualization in Biomedical Computing, 4th International Conference, 1996
Proceedings of the Advances in Neural Information Processing Systems 9, 1996
Proceedings of International Conference on Neural Networks (ICNN'96), 1996
Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96), 1996
1995
Bayesian image reconstruction in SPECT using higher order mechanical models as priors.
IEEE Trans. Medical Imaging, 1995
Proceedings of the Advances in Neural Information Processing Systems 8, 1995
Proceedings of the Advances in Neural Information Processing Systems 8, 1995
Proceedings of the Procedings of the Fifth International Conference on Computer Vision (ICCV 95), 1995
1994
Proceedings of the Conference on Computer Vision and Pattern Recognition, 1994
1993
IEEE Trans. Medical Imaging, 1993
Proceedings of the Advances in Neural Information Processing Systems 6, 1993
Proceedings of the Information Processing in Medical Imaging, 1993
1991
Bayesian Reconstruction of Functional Images Using Registered Anatomical Images as Priors.
Proceedings of the Information Processing in Medical Imaging, 1991
Proceedings of the 1991 International Conference on Acoustics, 1991
1990
Generalized graduated nonconvexity algorithm for maximum a posteriori image estimation.
Proceedings of the 10th IAPR International Conference on Pattern Recognition, 1990