Generalized graduated nonconvexity algorithm for maximum a posteriori image estimation. - Anand Rangarajan 001; Rama Chellappa (ICPR (2), 1990)

Image estimation and segmentation using a continuation method. - Anand Rangarajan 001; Rama Chellappa (ICASSP, 1991)

Bayesian Reconstruction of Functional Images Using Registered Anatomical Images as Priors. - Gene Gindi; M. Lee; Anand Rangarajan 001; I. George Zubal (IPMI, 1991)

Visual Reconstruction (Andrew Blake and Andrew Zisserman). - Anand Rangarajan 001 (SIAM Rev., 1991)

Bayesian Reconstruction for Emissiom Tomography via Deterministic Annealing. - Gene Gindi; Anand Rangarajan 001; M. Lee; P. J. Hong; I. George Zubal (IPMI, 1993)

Clustering with a Domain-Specific Distance Measure. - Steven Gold; Eric Mjolsness; Anand Rangarajan 001 (NIPS, 1993)

Bayesian reconstruction of functional images using anatomical information as priors. - Gene Gindi; Mindy MinHae Lee; Anand Rangarajan 001; I. George Zubal (IEEE Trans. Medical Imaging, 1993)

The outlier process: unifying line processes and robust statistics. - Michael J. Black; Anand Rangarajan 001 (CVPR, 1994)

A Geometric Criterion for Shape-Based Non-Rigid Correspondence. - Hemant D. Tagare; Donal O'Shea; Anand Rangarajan 001 (ICCV, 1995)

Softassign versus Softmax: Benchmarks in Combinatorial Optimization. - Steven Gold; Anand Rangarajan 001 (NIPS, 1995)

A Framework for Non-rigid Matching and Correspondence. - Suguna Pappu; Steven Gold; Anand Rangarajan 001 (NIPS, 1995)

Bayesian image reconstruction in SPECT using higher order mechanical models as priors. - Soo-Jin Lee; Anand Rangarajan 001; Gene Gindi (IEEE Trans. Medical Imaging, 1995)

Graph matching by graduated assignment. - Steven Gold; Anand Rangarajan 001 (CVPR, 1996)

Graduated assignment graph matching. - Steven Gold; Anand Rangarajan 001 (ICNN, 1996)

A Convergence Proof for the Softassign Quadratic Assignment Algorithm. - Anand Rangarajan 001; Alan L. Yuille; Steven Gold; Eric Mjolsness (NIPS, 1996)

A Robust Point Matching Algorithm for Autoradiograph Alignment. - Anand Rangarajan 001; Eric Mjolsness; Suguna Pappu; Lila Davachi; Patricia S. Goldman-Rakic; James S. Duncan (VBC, 1996)

On the unification of line processes, outlier rejection, and robust statistics with applications in early vision. - Michael J. Black; Anand Rangarajan 001 (Int. J. Comput. Vis., 1996)

A Novel Optimizing Network Architecture with Applications. - Anand Rangarajan 001; Steven Gold; Eric Mjolsness (Neural Comput., 1996)

Learning with Preknowledge: Clustering with Point and Graph Matching Distance Measures. - Steven Gold; Anand Rangarajan 001; Eric Mjolsness (Neural Comput., 1996)

A Graduated Assignment Algorithm for Graph Matching. - Steven Gold; Anand Rangarajan 001 (IEEE Trans. Pattern Anal. Mach. Intell., 1996)

A Lagrangian relaxation network for graph matching. - Anand Rangarajan 001; Eric Mjolsness (IEEE Trans. Neural Networks, 1996)

Self Annealing: Unifying Deterministic Annealing and Relaxation Labelling. - Anand Rangarajan 001 (EMMCVPR, 1997)

New Methods for SPECT Imaging and Pre-reconstruction Restoration. - Yi-Hwa Liu; Anand Rangarajan 001; Daniel Gagnon; Michel Therrien; Albert J. Sinusas; Frans J. Th. Wackers; I. George Zubal (IPMI, 1997)

The Softassign Procrustes Matching Algorithm. - Anand Rangarajan 001; Haili Chui; Fred L. Bookstein (IPMI, 1997)

A robust point-matching algorithm for autoradiograph alignment. - Anand Rangarajan 001; Haili Chui; Eric Mjolsness; Suguna Pappu; Lila Davachi; Patricia S. Goldman-Rakic; James S. Duncan (Medical Image Anal., 1997)

A Novel Approach for the Registration of 2D Portal and 3D CT Images for Treatment Setup Verification in Radiotherapy. - Ravi Bansal; Lawrence H. Staib; Zhe Chen 012; Anand Rangarajan 001; Jonathan Knisely; Ravinder Nath; James S. Duncan (MICCAI, 1998)

New algorithms for 2D and 3D point matching: pose estimation and correspondence. - Steven Gold; Anand Rangarajan 001; Chien-Ping Lu; Suguna Pappu; Eric Mjolsness (Pattern Recognit., 1998)

A mixed variable optimization approach to non-rigid image registration. - Anand Rangarajan 001; Haili Chui (Discrete Mathematical Problems with Medical Applications, 1999)

A New Distance Measure for Non-rigid Image Matching. - Anand Rangarajan 001; Haili Chui; Eric Mjolsness (EMMCVPR, 1999)

Registration of Cortical Anatomical Structures via Robust 3D Point Matching. - Haili Chui; James Rambo; James S. Duncan; Robert T. Schultz; Anand Rangarajan 001 (IPMI, 1999)

Entropy-Based, Multiple-Portal-to-3DCT Registration for Prostate Radiotherapy Using Iteratively Estimated Segmentation. - Ravi Bansal; Lawrence H. Staib; Zhe Chen 012; Anand Rangarajan 001; Jonathan Knisely; Ravinder Nath; James S. Duncan (MICCAI, 1999)

Rigid point feature registration using mutual information. - Anand Rangarajan 001; Haili Chui; James S. Duncan (Medical Image Anal., 1999)

Convergence Properties of the Softassign Quadratic Assignment Algorithm. - Anand Rangarajan 001; Alan L. Yuille; Eric Mjolsness (Neural Comput., 1999)

Applications of Optimizing Neural Networks in Medical Image Registration. - Anand Rangarajan 001; Haili Chui (ANNIMAB, 2000)

A New Algorithm for Non-Rigid Point Matching. - Haili Chui; Anand Rangarajan 001 (CVPR, 2000)

A New Deterministic Annealing Algorithm for Maximum Clique. - Arun Jagota; Marcello Pelillo; Anand Rangarajan 001 (IJCNN (6), 2000)

A Bayesian Joint Mixture Framework for the Integration of Anatomical Information in Functional Image Reconstruction. - Anand Rangarajan 001; Ing-Tsung Hsiao; Gene Gindi (J. Math. Imaging Vis., 2000)

Self-annealing and self-annihilation: unifying deterministic annealing and relaxation labeling. - Anand Rangarajan 001 (Pattern Recognit., 2000)

A Relationship between Spline-Based Deformable Models and Weighted Graphs in Non-Rigid Matching. - Anand Rangarajan 001; Haili Chui; Eric Mjolsness (CVPR (1), 2001)

Learning Matrix Space Image Representations. - Anand Rangarajan 001 (EMMCVPR, 2001)

A Unified Feature Registration Method for Brain Mapping. - Haili Chui; Lawrence Win; Robert T. Schultz; James S. Duncan; Anand Rangarajan 001 (IPMI, 2001)

Bayesian image reconstruction for transmission tomography using mixture model priors and deterministic annealing algorithms. - Ing-Tsung Hsiao; Anand Rangarajan 001; Gene R. Gindi (Image Processing, 2001)

MIME: Mutual Information Minimization and Entropy Maximization for Bayesian Belief Propagation. - Anand Rangarajan 001; Alan L. Yuille (NIPS, 2001)

The Concave-Convex Procedure (CCCP). - Alan L. Yuille; Anand Rangarajan 001 (NIPS, 2001)

A new convergent MAP reconstruction algorithm for emission tomography using ordered subsets and separable surrogates. - Ing-Tsung Hsiao; Anand Rangarajan 001; Gene Gindi (ISBI, 2002)

Kernel Fisher for Shape Based Classification in Epilepsy. - N. Vohra; Baba C. Vemuri; Anand Rangarajan 001; Robin L. Gilmore; S. N. Roper; Christiana Morison Leonard (MICCAI (2), 2002)

Provably convergent OSEM-like reconstruction algorithm for emission tomography. - Ing-Tsung Hsiao; Anand Rangarajan 001; Gene R. Gindi (Image Processing, 2002)

Joint-MAP Bayesian tomographic reconstruction with a gamma-mixture prior. - Ing-Tsung Hsiao; Anand Rangarajan 001; Gene Gindi (IEEE Trans. Image Process., 2002)

A Bayesian Network Framework for Relational Shape Matching. - Anand Rangarajan 001; James M. Coughlan; Alan L. Yuille (ICCV, 2003)

Bayesian Multimodality Non-rigid Image Registration via Conditional Density Estimation. - Jie Zhang 025; Anand Rangarajan 001 (IPMI, 2003)

A new point matching algorithm for non-rigid registration. - Haili Chui; Anand Rangarajan 001 (Comput. Vis. Image Underst., 2003)

Bayesian image reconstruction for transmission tomography using deterministic annealing. - Ing-Tsung Hsiao; Anand Rangarajan 001; Gene Gindi (J. Electronic Imaging, 2003)

A unified non-rigid feature registration method for brain mapping. - Haili Chui; Lawrence Win; Robert T. Schultz; James S. Duncan; Anand Rangarajan 001 (Medical Image Anal., 2003)

The Concave-Convex Procedure. - Alan L. Yuille; Anand Rangarajan 001 (Neural Comput., 2003)

Entropy-Based, Dual-Portal-to-3DCT Registration Incorporating Pixel Correlation. - Ravi Bansal; Lawrence H. Staib; Zhe Chen 012; Anand Rangarajan 001; Jonathan Knisely; Ravinder Nath; James S. Duncan (IEEE Trans. Medical Imaging, 2003)

A New Convex Edge-Preserving Median Prior with Applications to Tomography. - Ing-Tsung Hsiao; Anand Rangarajan 001; Gene Gindi (IEEE Trans. Medical Imaging, 2003)

A New Joint Clustering and Diffeomorphism Estimation Algorithm for Non-Rigid Shape Matching. - Hongyu Guo; Anand Rangarajan 001; Sarang C. Joshi; Laurent Younes (CVPR Workshops, 2004)

Affine Image Registration Using a New Information Metric. - Jie Zhang 025; Anand Rangarajan 001 (CVPR (1), 2004)

Non rigid registration of shapes via diffeomorphic point matching and clustering. - Laurent Garcin; Anand Rangarajan 001; Laurent Younes (ICIP, 2004)

Non-Rigid Registration of Shapes Via Diffeomorphic Point Matching. - Hongyu Guo; Anand Rangarajan 001; Sarang C. Joshi; Laurent Younes (ISBI, 2004)

A New, Fast, Relaxation-Free, Convergent, Hessian-based, Ordered-Subsets Algorithm for Emission Tomography. - Ing-Tsung Hsiao; Anand Rangarajan 001; Parmeshwar Khurd; Gene Gindi (ISBI, 2004)

A Unified Feature-Based Registration Method for Multimodality Images. - Jie Zhang 025; Anand Rangarajan 001 (ISBI, 2004)

Unsupervised Learning of an Atlas from Unlabeled Point-Sets. - Haili Chui; Anand Rangarajan 001; Jie Zhang 025; Christiana Morison Leonard (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

Multimodality Image Registration Using an Extensible Information Metric and High Dimensional Histogramming. - Jie Zhang 025; Anand Rangarajan 001 (IPMI, 2005)

3-D Diffeomorphic Shape Registration on Hippocampal Data Sets. - Hongyu Guo; Anand Rangarajan 001; Sarang C. Joshi (MICCAI (2), 2005)

Diffeomorphic Point Matching. - H. Guo; Anand Rangarajan 001; Shantanu H. Joshi (Handbook of Mathematical Models in Computer Vision, 2006)

New Method of Probability Density Estimation with Application to Mutual Information Based Image Registration. - Ajit Rajwade 002; Arunava Banerjee; Anand Rangarajan 001 (CVPR (2), 2006)

Groupwise point pattern registration using a novel CDF-based Jensen-Shannon Divergence. - Fei Wang 002; Baba C. Vemuri; Anand Rangarajan 001 (CVPR (1), 2006)

Simultaneous Nonrigid Registration of Multiple Point Sets and Atlas Construction. - Fei Wang 002; Baba C. Vemuri; Anand Rangarajan 001; Ilona M. Schmalfuss; Stephan J. Eisenschenk (ECCV (3), 2006)

Shape analysis using the Fisher-Rao Riemannian metric: unifying shape representation and deformation. - Adrian M. Peter; Anand Rangarajan 001 (ISBI, 2006)

Continuous image representations avoid the histogram binning problem in mutual information based image registration. - Ajit Rajwade 002; Arunava Banerjee; Anand Rangarajan 001 (ISBI, 2006)

A New Closed-Form Information Metric for Shape Analysis. - Adrian M. Peter; Anand Rangarajan 001 (MICCAI (1), 2006)

Pet Image Reconstruction Using Anatomical Information Through Mutual Information Based Priors: A Scale Space Approach. - Sangeetha Somayajula; Anand Rangarajan 001; Richard M. Leahy (ISBI, 2007)

Deformable Density Matching for 3D Non-rigid Registration of Shapes. - Arunabha S. Roy; Ajay Gopinath; Anand Rangarajan 001 (MICCAI (1), 2007)

A New Affine Registration Algorithm for Matching 2D Point Sets. - Jeffrey Ho; Ming-Hsuan Yang 001; Anand Rangarajan 001; Baba C. Vemuri (WACV, 2007)

Kernel Fisher discriminant for shape-based classification in epilepsy. - Santhosh Kodipaka; Baba C. Vemuri; Anand Rangarajan 001; Christiana Morison Leonard; I. Schmallfuss; Stephan J. Eisenschenk (Medical Image Anal., 2007)

Shape L'Âne rouge: Sliding wavelets for indexing and retrieval. - Adrian M. Peter; Anand Rangarajan 001; Jeffrey Ho (CVPR, 2008)

Beyond SVD: Sparse projections onto exemplar orthonormal bases for compact image representation. - Karthik S. Gurumoorthy; Ajit Rajwade 002; Arunava Banerjee; Anand Rangarajan 001 (ICPR, 2008)

Simultaneous Nonrigid Registration of Multiple Point Sets and Atlas Construction. - Fei Wang 002; Baba C. Vemuri; Anand Rangarajan 001; Stephan J. Eisenschenk (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Maximum Likelihood Wavelet Density Estimation With Applications to Image and Shape Matching. - Adrian M. Peter; Anand Rangarajan 001 (IEEE Trans. Image Process., 2008)

Image Filtering Driven by Level Curves. - Ajit Rajwade 002; Arunava Banerjee; Anand Rangarajan 001 (EMMCVPR, 2009)

A Schrödinger Wave Equation Approach to the Eikonal Equation: Application to Image Analysis. - Anand Rangarajan 001; Karthik S. Gurumoorthy (EMMCVPR, 2009)

An algebraic approach to affine registration of point sets. - Jeffrey Ho; Adrian M. Peter; Anand Rangarajan 001; Ming-Hsuan Yang 001 (ICCV, 2009)

Closed-Form Jensen-Renyi Divergence for Mixture of Gaussians and Applications to Group-Wise Shape Registration. - Fei Wang 002; Tanveer Fathima Syeda-Mahmood; Baba C. Vemuri; David Beymer; Anand Rangarajan 001 (MICCAI (1), 2009)

A Schrödinger Equation for the Fast Computation of Approximate Euclidean Distance Functions. - Karthik S. Gurumoorthy; Anand Rangarajan 001 (SSVM, 2009)

Information Geometry for Landmark Shape Analysis: Unifying Shape Representation and Deformation. - Adrian M. Peter; Anand Rangarajan 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Probability Density Estimation Using Isocontours and Isosurfaces: Applications to Information-Theoretic Image Registration. - Ajit Rajwade 002; Arunava Banerjee; Anand Rangarajan 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Automated Filter Parameter Selection Using Measures of Noiseness. - Ajit Rajwade 002; Anand Rangarajan 001; Arunava Banerjee (CRV, 2010)

CAVIAR: classification via aggregated regression and its application in classifying oasis brain database. - Ting Chen; Anand Rangarajan 001; Baba C. Vemuri (ISBI, 2010)

Construction of Neuroanatomical Shape Complex Atlas from 3D Brain MRI. - Ting Chen; Anand Rangarajan 001; Stephan J. Eisenschenk; Baba C. Vemuri (MICCAI (3), 2010)

Group-Wise Point-Set Registration Using a Novel CDF-Based Havrda-Charvát Divergence. - Ting Chen; Baba C. Vemuri; Anand Rangarajan 001; Stephan J. Eisenschenk (Int. J. Comput. Vis., 2010)

A Method for Compact Image Representation Using Sparse Matrix and Tensor Projections Onto Exemplar Orthonormal Bases. - Karthik S. Gurumoorthy; Ajit Rajwade 002; Arunava Banerjee; Anand Rangarajan 001 (IEEE Trans. Image Process., 2010)

The Complex Wave Representation of Distance Transforms. - Karthik S. Gurumoorthy; Anand Rangarajan 001; Arunava Banerjee (EMMCVPR, 2011)

Using the Higher Order Singular Value Decomposition for Video Denoising. - Ajit Rajwade 002; Anand Rangarajan 001; Arunava Banerjee (EMMCVPR, 2011)

An information geometry approach to shape density Minimum Description Length model selection. - Adrian M. Peter; Anand Rangarajan 001 (ICCV Workshops, 2011)

Mixture of Segmenters with Discriminative Spatial Regularization and Sparse Weight Selection. - Ting Chen; Baba C. Vemuri; Anand Rangarajan 001; Stephan J. Eisenschenk (MICCAI (3), 2011)

Fast convolution-based methods for computing the signed distance function and its derivatives - Karthik S. Gurumoorthy; Anand Rangarajan 001; Manu Sethi (CoRR, 2011)

PET Image Reconstruction Using Information Theoretic Anatomical Priors. - Sangeetha Somayajula; Christos Panagiotou; Anand Rangarajan 001; Quanzheng Li; Simon R. Arridge; Richard M. Leahy (IEEE Trans. Medical Imaging, 2011)

The Schrödinger distance transform (SDT) for point-sets and curves. - Manu Sethi; Anand Rangarajan 001; Karthik S. Gurumoorthy (CVPR, 2012)

Data-driven tree-structured Bayesian network for image segmentation. - Kittipat Kampa; José C. Príncipe; Duangmanee Putthividhya; Anand Rangarajan 001 (ICASSP, 2012)

Construction of a neuroanatomical shape complex atlas from 3D MRI brain structures. - Ting Chen; Anand Rangarajan 001; Stephan J. Eisenschenk; Baba C. Vemuri (NeuroImage, 2012)

Distance Transform Gradient Density Estimation Using the Stationary Phase Approximation. - Karthik S. Gurumoorthy; Anand Rangarajan 001 (SIAM J. Math. Anal., 2012)

Image Denoising Using the Higher Order Singular Value Decomposition. - Ajit Rajwade 002; Anand Rangarajan 001; Arunava Banerjee (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

A Riemannian Framework for Matching Point Clouds Represented by the Schrödinger Distance Transform. - Yan Deng; Anand Rangarajan 001; Stephan J. Eisenschenk; Baba C. Vemuri (CVPR, 2014)

Superpixel Estimation for Hyperspectral Imagery. - Pegah Massoudifar; Anand Rangarajan 001; Paul D. Gader (CVPR Workshops, 2014)

An efficient computational framework for labeling large scale spatiotemporal remote sensing datasets. - Manu Sethi; Yupeng Yan; Anand Rangarajan 001; Ranga Raju Vatsavaiy; Sanjay Ranka (IC3, 2014)

Shape from Phase: An Integrated Level Set and Probability Density Shape Representation. - John Corring; Anand Rangarajan 001 (ICPR, 2014)

A Schrödinger formalism for simultaneously computing the Euclidean distance transform and its gradient density. - Karthik S. Gurumoorthy; Anand Rangarajan 001 (ICVGIP, 2014)

A new energy minimization framework and sparse linear system for path planning and shape from shading. - Adrian M. Peter; Karthik S. Gurumoorthy; Mark Moyou; Anand Rangarajan 001 (ICVGIP, 2014)

Nonlinear unmixing by using non-euclidean metrics in a linear unmixing chain. - Rob Heylen; Paul Scheunders; Anand Rangarajan 001; Paul D. Gader (WHISPERS, 2014)

An integrated graph cuts segmentation and piece-wise convex unmixing approach for hyperspectral imaging. - Pegah Massoudifar; Anand Rangarajan 001; Alina Zare; Paul D. Gader (WHISPERS, 2014)

Boosting Techniques for Physics-Based Vortex Detection. - L. Zhang; Qi Deng; Raghu Machiraju; Anand Rangarajan 001; David S. Thompson; D. Keith Walters; Han-Wei Shen (Comput. Graph. Forum, 2014)

A fast eikonal equation solver using the Schrödinger wave equation. - Karthik S. Gurumoorthy; Anand Rangarajan 001 (CoRR, 2014)

Revisioning the unification of syntax, semantics and statistics in shape analysis. - Anand Rangarajan 001 (Pattern Recognit. Lett., 2014)

An uncertainty-driven approach to vortex analysis using oracle consensus and spatial proximity. - Ayan Biswas; David S. Thompson; Wenbin He; Qi Deng; Chun-Ming Chen; Han-Wei Shen; Raghu Machiraju; Anand Rangarajan 001 (PacificVis, 2015)

Downscaling microwave brightness temperatures using self regularized regressive models. - Subit Chakrabarti; Jasmeet Judge; Anand Rangarajan 001; Sanjay Ranka (IGARSS, 2015)

Scalable Machine Learning Approaches for Neighborhood Classification Using Very High Resolution Remote Sensing Imagery. - Manu Sethi; Yupeng Yan; Anand Rangarajan 001; Ranga Raju Vatsavai; Sanjay Ranka (KDD, 2015)

Discriminative Interpolation for Classification of Functional Data. - Rana Haber; Anand Rangarajan 001; Adrian M. Peter (ECML/PKDD (1), 2015)

A spatial compositional model for linear unmixing. - Yuan Zhou 004; Anand Rangarajan 001; Paul D. Gader (WHISPERS, 2015)

Disaggregation of Remotely Sensed Soil Moisture in Heterogeneous Landscapes using Holistic Structure based Models. - Subit Chakrabarti; Jasmeet Judge; Anand Rangarajan 001; Sanjay Ranka (CoRR, 2015)

A spatial compositional model (SCM) for linear unmixing and endmember uncertainty estimation. - Yuan Zhou 004; Anand Rangarajan 001; Paul D. Gader (CoRR, 2015)

Nonlinear Unmixing by Using Different Metrics in a Linear Unmixing Chain. - Rob Heylen; Paul Scheunders; Anand Rangarajan 001; Paul D. Gader (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Supervoxel-Based Segmentation of 3D Volumetric Images. - Chengliang Yang; Manu Sethi; Anand Rangarajan 001; Sanjay Ranka (ACCV (1), 2016)

Resonant Deformable Matching: Simultaneous Registration and Reconstruction. - John Corring; Anand Rangarajan 001 (ECCV (6), 2016)

Image stack surface area minimization for groupwise and multimodal affine registration. - Birmingham H. Guan; John Corring; Manu Sethi; Sanjay Ranka; Anand Rangarajan 001 (ICPR, 2016)

Supervised learning for brain MR segmentation via fusion of partially labeled multiple atlases. - Yan Deng; Anand Rangarajan 001; Baba C. Vemuri (ISBI, 2016)

A Gaussian mixture model representation of endmember variability for spectral unmixing. - Yuan Zhou 004; Anand Rangarajan 001; Paul D. Gader (WHISPERS, 2016)

A Compositional Approach to Language Modeling. - Kushal Arora; Anand Rangarajan 001 (CoRR, 2016)

Disaggregation of SMAP L3 Brightness Temperatures to 9km using Kernel Machines. - Subit Chakrabarti; Tara Bongiovanni; Jasmeet Judge; Anand Rangarajan 001; Sanjay Ranka (CoRR, 2016)

Spatial Scaling of Satellite Soil Moisture using Temporal Correlations and Ensemble Learning. - Subit Chakrabarti; Jasmeet Judge; Tara Bongiovanni; Anand Rangarajan 001; Sanjay Ranka (CoRR, 2016)

A Category Space Approach to Supervised Dimensionality Reduction. - Anthony O. Smith; Anand Rangarajan 001 (CoRR, 2016)

Guest Editorial: Shape Analysis Beyond the Eikonal Equation. - Sibel Tari; Luminita A. Vese; Anand Rangarajan 001 (J. Math. Imaging Vis., 2016)

Disaggregation of Remotely Sensed Soil Moisture in Heterogeneous Landscapes Using Holistic Structure-Based Models. - Subit Chakrabarti; Jasmeet Judge; Tara Bongiovanni; Anand Rangarajan 001; Sanjay Ranka (IEEE Trans. Geosci. Remote. Sens., 2016)

A Spatial Compositional Model for Linear Unmixing and Endmember Uncertainty Estimation. - Yuan Zhou 004; Anand Rangarajan 001; Paul D. Gader (IEEE Trans. Image Process., 2016)

Nonrigid Registration of Hyperspectral and Color Images with Vastly Different Spatial and Spectral Resolutions for Spectral Unmixing and Pansharpening. - Yuan Zhou 004; Anand Rangarajan 001; Paul D. Gader (CVPR Workshops, 2017)

Super-Scalable Computation Framework for Automated Terrain Identification. - Yupeng Yan; Manu Sethi; Anand Rangarajan 001; Sanjay Ranka (DASC/PiCom/DataCom/CyberSciTech, 2017)

A spatio-temporal data fusion algorithm for estimating high-resolution soil moisture in agricultural regions. - Subit Chakrabarti; Pang-Wei Liu; Jasmeet Judge; Anand Rangarajan 001; Roger D. De Roo; Rajat Bindlish; Andreas Colliander; Sidharth Misra; Scott Tripp; Barron Latham; Ross Williamson; Isaac Ramos; et al. (IGARSS, 2017)

Graph-based semi-supervised classification on very high resolution remote sensing images. - Yupeng Yan; Manu Sethi; Anand Rangarajan 001; Ranga Raju Vatsavai; Sanjay Ranka (Int. J. Big Data Intell., 2017)

Utilizing Self-Regularized Regressive Models to Downscale Microwave Brightness Temperatures for Agricultural Land Covers in the SMAPVEX-12 Region. - Subit Chakrabarti; Jasmeet Judge; Anand Rangarajan 001; Sanjay Ranka (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification. - Chengliang Yang; Anand Rangarajan 001; Sanjay Ranka (AMIA, 2018)

Densely Labeling Large-Scale Satellite Images with Generative Adversarial Networks. - Yupeng Yan; Xiaohui Huang 004; Anand Rangarajan 001; Sanjay Ranka (DASC/PiCom/DataCom/CyberSciTech, 2018)

Global Model Interpretation Via Recursive Partitioning. - Chengliang Yang; Anand Rangarajan 001; Sanjay Ranka (HPCC/SmartCity/DSS, 2018)

An Efficient Deep Representation Based Framework for Large-Scale Terrain Classification. - Yupeng Yan; Anand Rangarajan 001; Sanjay Ranka (ICPR, 2018)

Spherical Minimum Description Length. - Trevor Herntier; Koffi Eddy Ihou; Anthony O. Smith; Anand Rangarajan 001; Adrian M. Peter (Entropy, 2018)

Supervoxel-based segmentation of 3D imagery with optical flow integration for spatiotemporal processing. - Xiaohui Huang 004; Chengliang Yang; Sanjay Ranka; Anand Rangarajan 001 (IPSJ Trans. Comput. Vis. Appl., 2018)

Spatial Scaling Using Temporal Correlations and Ensemble Learning to Obtain High-Resolution Soil Moisture. - Subit Chakrabarti; Jasmeet Judge; Tara Bongiovanni; Anand Rangarajan 001; Sanjay Ranka (IEEE Trans. Geosci. Remote. Sens., 2018)

Image Stacks as Parametric Surfaces: Application to Image Registration. - Birmingham H. Guan; Anand Rangarajan 001 (IEEE Trans. Image Process., 2018)

A Gaussian Mixture Model Representation of Endmember Variability in Hyperspectral Unmixing. - Yuan Zhou 004; Anand Rangarajan 001; Paul D. Gader (IEEE Trans. Image Process., 2018)

A Multi-sensor System for Traffic Analysis at Smart Intersections. - Tania Banerjee; Ke Chen; Xiaohui Huang 004; Anand Rangarajan 001; Sanjay Ranka (IC3, 2019)

Deep Learning based Geometric Features for Effective Truck Selection and Classification from Highway Videos. - Pan He; Aotian Wu; Xiaohui Huang 004; Jerry Scott; Anand Rangarajan 001; Sanjay Ranka (ITSC, 2019)

Analyzing Traffic Signal Performance Measures to Automatically Classify Signalized Intersections. - Dhruv Mahajan 002; Tania Banerjee; Anand Rangarajan 001; Nithin Agarwal; Jeremy Dilmore; Emmanuel Posadas; Sanjay Ranka (VEHITS, 2019)

Machine Learning Algorithms for Traffic Interruption Detection. - Yashaswi Karnati; Dhruv Mahajan 002; Anand Rangarajan 001; Sanjay Ranka (FMEC, 2020)

SparsePipe: Parallel Deep Learning for 3D Point Clouds. - Keke Zhai; Pan He; Tania Banerjee; Anand Rangarajan 001; Sanjay Ranka (HiPC, 2020)

A Scalable Data Analytics and Visualization System for City-wide Traffic Signal Data-sets. - Dhruv Mahajan 002; Yashaswi Karnati; Tania Banerjee; Varun Reddy Regalla; Rohith R. K. Reddy; Anand Rangarajan 001; Sanjay Ranka (ITSC, 2020)

Unsupervised Summarization and Change Detection in High-Resolution Signalized Intersection Datasets. - Dhruv Mahajan 002; Yashaswi Karnati; Anand Rangarajan 001; Sanjay Ranka (ITSC, 2020)

A Platoon Matching Approach for the Estimation of Arterial Travel Time Distributions. - Rahul Sengupta; Rohith R. K. Reddy; Parth Shah 002; Anand Rangarajan 001; Sanjay Ranka (ITSC, 2020)

Clustering Object Trajectories for Intersection Traffic Analysis. - Tania Banerjee; Xiaohui Huang 004; Ke Chen; Anand Rangarajan 001; Sanjay Ranka (VEHITS, 2020)

A Visual Analytics System for Processed Videos from Traffic Intersections. - Ke Chen; Tania Banerjee; Xiaohui Huang 004; Anand Rangarajan 001; Sanjay Ranka (VEHITS, 2020)

Video-based Machine Learning System for Commodity Classification. - Pan He; Aotian Wu; Xiaohui Huang 004; Anand Rangarajan 001; Sanjay Ranka (VEHITS, 2020)

Machine Learning based Video Processing for Real-time Near-Miss Detection. - Xiaohui Huang 004; Tania Banerjee; Ke Chen; Naga Venkata Sai Varanasi; Anand Rangarajan 001; Sanjay Ranka (VEHITS, 2020)

Data Mining Algorithms for Traffic Interruption Detection. - Yashaswi Karnati; Dhruv Mahajan 002; Anand Rangarajan 001; Sanjay Ranka (VEHITS, 2020)

A Data Driven Approach to Derive Traffic Intersection Geography using High Resolution Controller Logs. - Dhruv Mahajan 002; Tania Banerjee; Yashaswi Karnati; Anand Rangarajan 001; Sanjay Ranka (VEHITS, 2020)

A Unified Framework for Multiclass and Multilabel Support Vector Machines. - Hoda Shajari; Anand Rangarajan 001 (CoRR, 2020)

An Integrated Approach to Registration and Fusion of Hyperspectral and Multispectral Images. - Yuan Zhou 004; Anand Rangarajan 001; Paul D. Gader (IEEE Trans. Geosci. Remote. Sens., 2020)

A Grassmannian Graph Approach to Affine Invariant Feature Matching. - Mark Moyou; Anand Rangarajan 001; John Corring; Adrian M. Peter (IEEE Trans. Image Process., 2020)

Intelligent Intersection: Two-stream Convolutional Networks for Real-time Near-accident Detection in Traffic Video. - Xiaohui Huang 004; Pan He; Anand Rangarajan 001; Sanjay Ranka (ACM Trans. Spatial Algorithms Syst., 2020)

Hybrid Generative Models for Two-Dimensional Datasets. - Hoda Shajari; Jaemoon Lee; Sanjay Ranka; Anand Rangarajan 001 (ICANN (2), 2021)

Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations. - Patrick Emami; Pan He; Sanjay Ranka; Anand Rangarajan 001 (ICML, 2021)

An Automated Framework for Deriving Intersection Coordination Plans. - Dhruv Mahajan 002; Yashaswi Karnati; Jeremy Dilmore; Anand Rangarajan 001; Sanjay Ranka (ITSC, 2021)

TQAM: Temporal Attention for Cycle-wise Queue Length Estimation using High-Resolution Loop Detector Data. - Rahul Sengupta; Yashaswi Karnati; Anand Rangarajan 001; Sanjay Ranka (ITSC, 2021)

Trajectory Prediction via Learning Motion Cluster Patterns in Curvilinear Coordinates. - Aotian Wu; Tania Banerjee; Anand Rangarajan 001; Sanjay Ranka (ITSC, 2021)

Subcycle-based Neural Network Algorithms for Turning Movement Count Prediction. - Yashaswi Karnati; Rahul Sengupta; Anand Rangarajan 001; Sanjay Ranka (VEHITS, 2021)

A web-based visual analytics system for traffic intersection datasets. - Ke Chen; Tania Banerjee; Xiaohui Huang 004; Zhaowen Ding; Naga Venkata Sai Varanasi; Anand Rangarajan 001; Sanjay Ranka (Int. J. Big Data Intell., 2021)

Domain-Guided Machine Learning for Remotely Sensed In-Season Crop Growth Estimation. - George Worrall; Anand Rangarajan 001; Jasmeet Judge (Remote. Sens., 2021)

Truck and Trailer Classification With Deep Learning Based Geometric Features. - Pan He; Aotian Wu; Xiaohui Huang 004; Jerry Scott; Anand Rangarajan 001; Sanjay Ranka (IEEE Trans. Intell. Transp. Syst., 2021)

Physically-Augmented Deep Learning (PADL): Integration of Physical Context for Improved Seismic Event Discrimination. - Mitchell Solomon; Micah Billouin; Kevin Chow; Jad Zeineddine; Alex Almaraz; Anand Rangarajan 001; Anthony O. Smith; Adrian M. Peter (Zenodo, 2021)

Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions. - Pan He; Patrick Emami; Sanjay Ranka; Anand Rangarajan 001 (AAAI, 2022)

An Algorithmic and Software Pipeline for Very Large Scale Scientific Data Compression with Error Guarantees. - Tania Banerjee; Jong Choi 001; Jaemoon Lee; Qian Gong; Ruonan Wang; Scott Klasky; Anand Rangarajan 001; Sanjay Ranka (HIPC, 2022)

A Modern Intersection Data Analytics System for Pedestrian and Vehicular Safety. - Tania Banerjee; Ke Chen; Alejandro Almaraz; Rahul Sengupta; Yashaswi Karnati; Bryce Grame; Emmanuel Posadas; Subhadipto Poddar; Robert Schenck 002; Jeremy Dilmore; Siva Srinivasan; Anand Rangarajan 001; et al. (ITSC, 2022)

Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition. - Qian Gong; Ben Whitney; Chengzhu Zhang; Xin Liang 001; Anand Rangarajan 001; Jieyang Chen; Lipeng Wan 001; Paul Ullrich; Qing Liu 002; Robert Jacob; Sanjay Ranka; Scott Klasky (SSDBM, 2022)

Slot Order Matters for Compositional Scene Understanding. - Patrick Emami; Pan He; Sanjay Ranka; Anand Rangarajan 001 (CoRR, 2022)

Expressing linear equality constraints in feedforward neural networks. - Anand Rangarajan 001; Pan He; Jaemoon Lee; Tania Banerjee; Sanjay Ranka (CoRR, 2022)

Scalable Hybrid Learning Techniques for Scientific Data Compression. - Tania Banerjee; Jong Choi 001; Jaemoon Lee; Qian Gong; Jieyang Chen; Scott Klasky; Anand Rangarajan 001; Sanjay Ranka (CoRR, 2022)

Learning Scene Dynamics from Point Cloud Sequences. - Pan He; Patrick Emami; Sanjay Ranka; Anand Rangarajan 001 (Int. J. Comput. Vis., 2022)

Automated Truck Taxonomy Classification Using Deep Convolutional Neural Networks. - Abdullah Almutairi; Pan He; Anand Rangarajan 001; Sanjay Ranka (Int. J. Intell. Transp. Syst. Res., 2022)

Machine-Learning-Based Real-Time Multi-Camera Vehicle Tracking and Travel-Time Estimation. - Xiaohui Huang 004; Pan He; Anand Rangarajan 001; Sanjay Ranka (J. Imaging, 2022)

Subcycle Waveform Modeling of Traffic Intersections Using Recurrent Attention Networks. - Yashaswi Karnati; Rahul Sengupta; Anand Rangarajan 001; Sanjay Ranka (IEEE Trans. Intell. Transp. Syst., 2022)

Constrained Autoencoders: Incorporating equality constraints in learned scientific data compression. - Jaemoon Lee; Anand Rangarajan 001; Sanjay Ranka (DCC, 2023)

Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest. - Tania Banerjee; Jaemoon Lee; Jong Choi 001; Qian Gong; Jieyang Chen; Choong-Seock Chang; Scott Klasky; Anand Rangarajan 001; Sanjay Ranka (e-Science, 2023)

Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation - A Case Study on Simulation Data with Extreme Climate Events Analysis. - Qian Gong; Chengzhu Zhang; Xin Liang 001; Viktor Reshniak; Jieyang Chen; Anand Rangarajan 001; Sanjay Ranka; Nicolas Vidal 003; Lipeng Wan 001; Paul Ullrich; Norbert Podhorszki; Robert Jacob; et al. (e-Science, 2023)

Fast Algorithms for Scientific Data Compression. - Tania Banerjee; Jaemoon Lee; Jong Choi 001; Qian Gong; Jieyang Chen; Scott Klasky; Anand Rangarajan 001; Sanjay Ranka (HiPC, 2023)

Nonlinear-by-Linear: Guaranteeing Error Bounds in Compressive Autoencoders. - Jaemoon Lee; Anand Rangarajan 001; Sanjay Ranka (IC3, 2023)

Nonlinear constraint satisfaction for compressive autoencoders using instance-specific linear operators. - Jaemoon Lee; Anand Rangarajan 001; Sanjay Ranka (IC3, 2023)

A Spatiotemporal Correspondence Approach to Unsupervised LiDAR Segmentation with Traffic Applications. - Xiao Li; Pan He; Aotian Wu; Sanjay Ranka; Anand Rangarajan 001 (ITSC, 2023)

A Multi-Sensor Video/LiDAR System for Analyzing Intersection Safety. - Aotian Wu; Tania Banerjee; Ke Chen; Anand Rangarajan 001; Sanjay Ranka (ITSC, 2023)

Towards Effective Traffic Signal Safety and Optimization Using Fisheye Video. - Rahul Sengupta; Tania Banerjee; Ke Chen; Yashaswi Karnati; Sanjay Ranka; Anand Rangarajan 001 (VEHITS, 2023)

Using DSRC Road-Side Unit Data to Derive Braking Behavior. - Rahul Sengupta; Tania Banerjee; Yashaswi Karnati; Sanjay Ranka; Anand Rangarajan 001 (VEHITS, 2023)

Computing Arterial Travel Time Distributions From Loop Detector and Probe Datasets. - Rahul Sengupta; Rohith R. K. Reddy; Parth Shah 002; James Dika; Xiaohui Huang 004; Anand Rangarajan 001; Sanjay Ranka (IEEE Trans. Intell. Transp. Syst., 2023)

Learning Canonical Embeddings for Unsupervised Shape Correspondence With Locally Linear Transformations. - Pan He; Patrick Emami; Sanjay Ranka; Anand Rangarajan 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. - Qian Gong; Jieyang Chen; Ben Whitney; Xin Liang 001; Viktor Reshniak; Tania Banerjee; Jaemoon Lee; Anand Rangarajan 001; Lipeng Wan 001; Nicolas Vidal 003; Qing Liu 002; Ana Gainaru; et al. (SoftwareX, 2023)

Attention Based Machine Learning Methods for Data Reduction with Guaranteed Error Bounds. - Xiao Li; Jaemoon Lee; Anand Rangarajan 001; Sanjay Ranka (IEEE Big Data, 2024)

Guaranteeing Error Bounds with Preservation of Derived Quantities in Compressive Autoencoders. - Jaemoon Lee; Anand Rangarajan 001; Sanjay Ranka (DCC, 2024)

Hybrid Approaches for Data Reduction of Spatiotemporal Scientific Applications. - Xiao Li; Qian Gong; Jaemoon Lee; Scott Klasky; Anand Rangarajan 001; Sanjay Ranka (DCC, 2024)

A General Framework for Error-controlled Unstructured Scientific Data Compression. - Qian Gong; Zhe Wang 059; Viktor Reshniak; Xin Liang 001; Jieyang Chen; Qing Liu 002; Tushar M. Athawale; Yi Ju; Anand Rangarajan 001; Sanjay Ranka; Norbert Podhorszki; Rick Archibald; et al. (e-Science, 2024)

Video-Based Pedestrian and Vehicle Traffic Analysis During Football Games. - Jacques P. Fleischer; Ryan Pallack; Ahan Mishra; Gustavo Riente de Andrade; Subhadipto Poddar; Emmanuel Posadas; Robert Schenck 002; Tania Banerjee; Anand Rangarajan 001; Sanjay Ranka (ITSC, 2024)

MTDT: A Multi-Task Deep Learning Digital Twin. - Nooshin Yousefzadeh; Rahul Sengupta; Yashaswi Karnati; Anand Rangarajan 001; Sanjay Ranka (ITSC, 2024)

A Data-driven Approach for Probabilistic Traffic Prediction and Simulation at Signalized Intersections. - Aotian Wu; Yash Ranjan; Rahul Sengupta; Anand Rangarajan 001; Sanjay Ranka (IV, 2024)

Machine Learning Techniques for Data Reduction of CFD Applications. - Jaemoon Lee; Ki Sung Jung; Qian Gong; Xiao Li; Scott Klasky; Jacqueline Chen; Anand Rangarajan 001; Sanjay Ranka (CoRR, 2024)

Toward Improving the Generation Quality of Autoregressive Slot VAEs. - Patrick Emami; Pan He; Sanjay Ranka; Anand Rangarajan 001 (Neural Comput., 2024)

An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation. - Aotian Wu; Pan He; Xiao Li; Ke Chen; Sanjay Ranka; Anand Rangarajan 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Machine Learning Techniques for Data Reduction of Climate Applications. - Xiao Li; Qian Gong; Jaemoon Lee; Scott Klasky; Anand Rangarajan 001; Sanjay Ranka (PAKDD (1), 2025)

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data. - Xiao Li; Jaemoon Lee; Anand Rangarajan 001; Sanjay Ranka (PAKDD (6), 2025)

Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics. - Yash Ranjan; Rahul Sengupta; Anand Rangarajan 001; Sanjay Ranka (PAKDD (6), 2025)

Guaranteed Conditional Diffusion: 3D Block-based Models for Scientific Data Compression. - Jaemoon Lee; Xiao Li; Liangji Zhu; Sanjay Ranka; Anand Rangarajan 001 (CoRR, 2025)

Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulation. - Nooshin Yousefzadeh; Rahul Sengupta; Yashaswi Karnati; Anand Rangarajan 001; Sanjay Ranka (IEEE Trans. Intell. Transp. Syst., 2025)

IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections. - Yash Ranjan; Rahul Sengupta; Anand Rangarajan 001; Sanjay Ranka (CoRR, 2025)

Generative Latent Diffusion for Efficient Spatiotemporal Data Reduction. - Xiao Li; Liangji Zhu; Anand Rangarajan 001; Sanjay Ranka (CoRR, 2025)