Baba C. Vemuri

发表

From global to local, a continuum of shape models with fractal priors

Baba C. Vemuri, A. Radisavljevic, B. Vemuri, 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

Mixture of Segmenters with Discriminative Spatial Regularization and Sparse Weight Selection

Ting Chen, Anand Rangarajan, Baba C. Vemuri, 2011, MICCAI.

Recursive Estimation of the Stein Center of SPD Matrices and Its Applications

Baba C. Vemuri, Hesamoddin Salehian, Guang Cheng, 2013, 2013 IEEE International Conference on Computer Vision.

Computing Diffeomorphic Paths for Large Motion Interpolation

Baba C. Vemuri, Jeffrey Ho, Dohyung Seo, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

A Conic Section Classifier and its Application to Image Datasets

Baba C. Vemuri, Arunava Banerjee, Santhosh Kodipaka, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Dynamic smooth subdivision surfaces for data visualization

Hong Qin, Baba C. Vemuri, Chhandomay Mandal, 1997, Proceedings. Visualization '97 (Cat. No. 97CB36155).

Color Image Segmentation in a Quaternion Framework

Baba C. Vemuri, Özlem N. Subakan, 2009, EMMCVPR.

An O(N) iterative solution to the Poisson equation in low-level vision problems

Shang-Hong Lai, Baba C. Vemuri, S. Lai, 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

Snake Pedals: Compact and Versatile Geometric Models with Physics-Based Control

Baba C. Vemuri, Yanlin Guo, B. Vemuri, 2000, IEEE Trans. Pattern Anal. Mach. Intell..

Proceedings Workshop on Biomedical Image Analysis, June 26-27, 1998, Santa Barbara, California

Baba C. Vemuri, 1998 .

Large margin pursuit for a Conic Section classifier

Baba C. Vemuri, Arunava Banerjee, Santhosh Kodipaka, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Constructing Intrinsic Parameters with Active Models for Invariant Surface Reconstruction

Baba C. Vemuri, Ravi Malladi, R. Malladi, 1993, IEEE Trans. Pattern Anal. Mach. Intell..

Kernel Fisher for Shape Based Classification in Epilepsy

Anand Rangarajan, Baba C. Vemuri, N. Vohra, 2002, MICCAI.

Efficient and Accurate Collision Detection for Granular Flow Simulation

X. Zhang, Loc Vu-Quoc, Baba C. Vemuri, 1998, Graph. Model. Image Process..

Diffusion Tensor MR Image Restoration

Zhizhou Wang, Yunmei Chen, Baba C. Vemuri, 2003, EMMCVPR.

Estimation, smoothing, and characterization of apparent diffusion coefficient profiles from High Angular Resolution DWI

Yijun Liu, Yunmei Chen, Baba C. Vemuri, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Shape Retrieval Using Hierarchical Total Bregman Soft Clustering

Frank Nielsen, Shun-ichi Amari, Baba C. Vemuri, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Non-rigid Registration of High Angular Resolution Diffusion Images Represented by Gaussian Mixture Fields

Baba C. Vemuri, Guang Cheng, Paul R. Carney, 2009, MICCAI.

A CNN for homogneous Riemannian manifolds with applications to Neuroimaging

Rudrasis Chakraborty, Baba C. Vemuri, Monami Banerjee, 2018, 1805.05487.

Image registration via level-set motion: Applications to atlas-based segmentation

Y. Chen, Baba C. Vemuri, J. Ye, 2003, Medical Image Anal..

Intrinsic parameters for surface representation using deformable models

Baba C. Vemuri, Ravi Malladi, R. Malladi, 1993, IEEE Trans. Syst. Man Cybern..

Range image understanding

Jake K. Aggarwal, Baba C. Vemuri, J. Aggarwal, 1992, Image and Vision Computing.

A novel tensor distribution model for the diffusion-weighted MR signal

Baba C. Vemuri, Evren Özarslan, Paul R. Carney, 2007, NeuroImage.

Fast Algorithms for Fitting Multiresolution Hybrid Shape Models to Brain MRI

Shang-Hong Lai, Baba C. Vemuri, Yanlin Guo, 1996, VBC.

Robust and efficient regularized boosting using total Bregman divergence

Baba C. Vemuri, Meizhu Liu, 2011, CVPR 2011.

Cumulative residual entropy, a new measure of information & its application to image alignment

Yunmei Chen, Baba C. Vemuri, Fei Wang, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

A unified framework for estimating diffusion tensors of any order with symmetric positive-definite constraints

Baba C. Vemuri, Angelos Barmpoutis, B. Vemuri, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A model for characterizing the motion of the solid-liquid interface in freezing solutions

Jake K. Aggarwal, Baba C. Vemuri, Kenneth R. Diller, 1984, Pattern Recognit..

Jensen divergence based SPD matrix means and applications

Frank Nielsen, Xiaojing Ye, Baba C. Vemuri, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Tractography From HARDI Using an Intrinsic Unscented Kalman Filter

Baba C. Vemuri, Hesamoddin Salehian, Guang Cheng, 2015, IEEE Transactions on Medical Imaging.

A Constrained Variational Principle for Direct Estimation and Smoothing of the Diffusion Tensor Field from DWI

Zhizhou Wang, Yunmei Chen, Baba C. Vemuri, 2003, IPMI.

An over-complete dictionary based regularized reconstruction of a field of ensemble average propagators

Wenxing Ye, Baba C. Vemuri, Alireza Entezari, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Efficient Algorithms for Lossless Compression of 2D/3D Images

Sartaj Sahni, Baba C. Vemuri, F. Chen, 1999, VISUAL.

Non-Rigid Multi-Modal Image Registration Using Cross-Cumulative Residual Entropy

Baba C. Vemuri, Fei Wang, B. Vemuri, 2007, International Journal of Computer Vision.

Efficient recursive estimation of the Riemannian barycenter on the hypersphere and the special orthogonal group with applications

Rudrasis Chakraborty, Baba C. Vemuri, B. Vemuri, 2020 .

Evolutionary Fronts for Topology-Independent Shape Modeling and Recoveery

Baba C. Vemuri, James A. Sethian, Ravi Malladi, 1994, ECCV.

Sparse Exact PGA on Riemannian Manifolds

Rudrasis Chakraborty, Baba C. Vemuri, Monami Banerjee, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

The MPM-MAP Algorithm for Image Segmentatio.

Baba C. Vemuri, Jose L. Marroquin, Felix Calderon, 2000 .

Nonnegative Factorization of Diffusion Tensor Images and Its Applications

Baba C. Vemuri, Jeffrey Ho, Yuchen Xie, 2011, IPMI.

Robust Point Set Registration Using Gaussian Mixture Models

Baba C. Vemuri, Bing Jian, B. Vemuri, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A novel FEM-based dynamic framework for subdivision surfaces

Hong Qin, Baba C. Vemuri, Chhandomay Mandal, 1999, SMA '99.

A CONTINUOUS MIXTURE OF TENSORS MODEL FOR DIFFUSION-WEIGHTED MR SIGNAL RECONSTRUCTION

Baba C. Vemuri, Evren Özarslan, Paul R. Carney, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. 1 Total Bregman Divergence and its Applications to DTI Analysis

Frank Nielsen, Shun-ichi Amari, Baba C. Vemuri, 2022 .

Representation and recognition of objects from depth maps

Jake K. Aggarwal, Baba C. Vemuri, J. Aggarwal, 1987, FJCC.

On Three-Dimensional Surface Reconstruction Methods

Baba C. Vemuri, Ruud M. Bolle, B. Vemuri, 1991, IEEE Trans. Pattern Anal. Mach. Intell..

Energy Minimization Methods in Computer Vision and Pattern Recognition, 5th International Workshop, EMMCVPR 2005, St. Augustine, FL, USA, November 9-11, 2005, Proceedings

Alan L. Yuille, Anand Rangarajan, Baba C. Vemuri, 2005, EMMCVPR.

Relighting, pose change and recognition of faces

Baba C. Vemuri, Ritwik Kumar, Arunava Banerjee, 2009 .

Deformable Pedal Curves and Surfaces: Hybrid Geometric Active Models for Shape Recovery

Zhizhou Wang, Baba C. Vemuri, Yanlin Guo, 2004, International Journal of Computer Vision.

A Quaternion Framework for Color Image Smoothing and Segmentation

Baba C. Vemuri, Özlem N. Subakan, B. Vemuri, 2011, International Journal of Computer Vision.

Metric Learning Using Iwasawa Decomposition

Baba C. Vemuri, Bing Jian, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Computing motion parameters from sparse multisensor range data for telerobotics

G. Skofteland, Baba C. Vemuri, 1991, Other Conferences.

A Method for Automated Classification of Parkinson’s Disease Diagnosis Using an Ensemble Average Propagator Template Brain Map Estimated from Diffusion MRI

Baba C. Vemuri, Michael S. Okun, David E. Vaillancourt, 2016, PloS one.

Multi-fiber Reconstruction from DW-MRI Using a Continuous Mixture of Hyperspherical von Mises-Fisher Distributions

Tanveer F. Syeda-Mahmood, Baba C. Vemuri, Fei Wang, 2009, IPMI.

Resolution of complex tissue microarchitecture using the diffusion orientation transform (DOT)

Baba C. Vemuri, Stephen J. Blackband, Timothy M. Shepherd, 2006, NeuroImage.

Groupwise point pattern registration using a novel CDF-based Jensen-Shannon Divergence

Anand Rangarajan, Baba C. Vemuri, Fei Wang, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Box spline based 3D tomographic reconstruction of diffusion propagators from MRI data

Wenxing Ye, Baba C. Vemuri, Alireza Entezari, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A Unified Computational Framework for Deconvolution to Reconstruct Multiple Fibers From Diffusion Weighted MRI

Baba C. Vemuri, Bing Jian, B. Vemuri, 2007, IEEE Transactions on Medical Imaging.

Maximizing all margins: Pushing face recognition with Kernel Plurality

Hanspeter Pfister, Baba C. Vemuri, Ritwik Kumar, 2011, 2011 International Conference on Computer Vision.

Extracting Tractosemas from a Displacement Probability Field for Tractography in DW-MRI

Baba C. Vemuri, Angelos Barmpoutis, John R. Forder, 2008, MICCAI.

Statistics on the (compact) Stiefel manifold: Theory and Applications pdf

Rudrasis Chakraborty, Baba C. Vemuri, B. Vemuri, 2017, ArXiv.

Shape Modeling with Front Propagation: A Level Set Approach

Baba C. Vemuri, James A. Sethian, Ravi Malladi, 1995, IEEE Trans. Pattern Anal. Mach. Intell..

Regularized positive-definite fourth order tensor field estimation from DW-MRI

Baba C. Vemuri, Angelos Barmpoutis, John R. Forder, 2009, NeuroImage.

Robust Nonrigid Multimodal Image Registration Using Local Frequency Maps

Baba C. Vemuri, José L. Marroquín, Bing Jian, 2005, IPMI.

Physically Based Adaptive Preconditioning for Early Vision

Shang-Hong Lai, Baba C. Vemuri, S. Lai, 1997, IEEE Trans. Pattern Anal. Mach. Intell..

Tomographic reconstruction of diffusion propagators from DW-MRI using optimal sampling lattices

Wenxing Ye, Baba C. Vemuri, Alireza Entezari, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

An Efficient Interlaced Multi-Shell Sampling Scheme for Reconstruction of Diffusion Propagators

Wenxing Ye, Baba C. Vemuri, Alireza Entezari, 2012, IEEE Transactions on Medical Imaging.

EXPONENTIAL TENSORS: A FRAMEWORK FOR EFFICIENT HIGHER-ORDER DT-MRI COMPUTATIONS

Baba C. Vemuri, Angelos Barmpoutis, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Simultaneous Nonrigid Registration of Multiple Point Sets and Atlas Construction

Anand Rangarajan, Baba C. Vemuri, Fei Wang, 2006, ECCV.

Construction of Neuroanatomical Shape Complex Atlas from 3D Brain MRI

Ting Chen, Anand Rangarajan, Baba C. Vemuri, 2010, MICCAI.

The MPM-MAP algorithm for image segmentation

Baba C. Vemuri, Salvador Botello Rionda, José L. Marroquín, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Using the Bhattacharyya Mean for the Filtering and Clustering of Positive-Definite Matrices

Baba C. Vemuri, Maher Moakher, Malek Charfi, 2013, GSI.

Atlas construction from high angular resolution diffusion imaging data represented by Gaussian Mixture fields

Baba C. Vemuri, Guang Cheng, John R. Forder, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices

Vikas Singh, Rudrasis Chakraborty, Baba C. Vemuri, 2018, NeurIPS.

Cumulative residual entropy: a new measure of information

Yunmei Chen, Baba C. Vemuri, Fei Wang, 2004, IEEE Transactions on Information Theory.

Generalized Capacitance Matrix Theorems and Algorithm for Solving Linear Systems

Shang-Hong Lai, Baba C. Vemuri, 1998, SIAM J. Sci. Comput..

Reliable and Efficient Computation of Optical Flow

Shang-Hong Lai, Baba C. Vemuri, S. Lai, 1998, International Journal of Computer Vision.

Invariant surface and motion estimation from sparse range data

Baba C. Vemuri, Gunleiv Skofteland, B. Vemuri, 1992, Journal of Mathematical Imaging and Vision.

Unsupervised automatic white matter fiber clustering using a Gaussian mixture model

Rachid Deriche, Baba C. Vemuri, Meizhu Liu, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Simultaneous smoothing and estimation of the tensor field from diffusion tensor MRI

Zhizhou Wang, Yunmei Chen, Baba C. Vemuri, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

A robust algorithm for point set registration using mixture of Gaussians

Baba C. Vemuri, Bing Jian, B. Vemuri, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

An interactive algorithm for image denoising and segmentation

Baba C. Vemuri, Marcos C. de Andrade, 2001, Proceedings XIV Brazilian Symposium on Computer Graphics and Image Processing.

Dynamic smooth subdivision surfaces for data visualization

Hong Qin, Baba C. Vemuri, Chhandomay Mandal, 1997 .

A novel FEM-based dynamic framework for subdivision surfaces

Hong Qin, Baba C. Vemuri, Chhandomay Mandal, 2000, Comput. Aided Des..

A fast Gibbs sampler for synthesizing constrained fractals

Baba C. Vemuri, Chhandomay Mandal, 1996 .

Recovery of intra-voxel structure from HARD DWI

Yijun Liu, Yunmei Chen, Baba C. Vemuri, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Registration of High Angular Resolution Diffusion MRI Images Using 4 th Order Tensors

Baba C. Vemuri, Angelos Barmpoutis, John R. Forder, 2007, MICCAI.

Simultaneous Nonrigid Registration of Multiple Point Sets and Atlas Construction

Anand Rangarajan, Baba C. Vemuri, Fei Wang, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Shrinkage Estimation on the Manifold of Symmetric Positive-Definite Matrices with Applications to Neuroimaging

Baba C. Vemuri, Chun-Hao Yang, 2019, IPMI.

Fast numerical algorithms for fitting multiresolution hybrid shape models to brain MRI

Shang-Hong Lai, Baba C. Vemuri, Yanlin Guo, 1997, Medical Image Anal..

Volterrafaces: Discriminant analysis using Volterra kernels

Baba C. Vemuri, Ritwik Kumar, Arunava Banerjee, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

iPGA: Incremental Principal Geodesic Analysis with Applications to Movement Disorder Classification

Baba C. Vemuri, Hesamoddin Salehian, David E. Vaillancourt, 2014, MICCAI.

Reliable and Efficient Image Registration

Sartaj Sahni, Baba C. Vemuri, Christiana M. Leonard, 1997 .

Local frequency representations for robust multimodal image registration

Jundong Liu, Baba C. Vemuri, José L. Marroquín, 2002, IEEE Transactions on Medical Imaging.

Covariant Image Representation with Applications to Classification Problems in Medical Imaging

Baba C. Vemuri, Jeffrey Ho, Dohyung Seo, 2015, International Journal of Computer Vision.

Image Registration with Applications to Medical Imaging

Baba C. Vemuri, 2004, ICVGIP.

Tensor Field Segmentation Using Region Based Active Contour Model

Zhizhou Wang, Baba C. Vemuri, B. Vemuri, 2004, ECCV.

A Robust and Efficient Algorithm for Image Registration

Sartaj Sahni, Baba C. Vemuri, T. Lucas, 1997, IPMI.

DTI segmentation using an information theoretic tensor dissimilarity measure

Zhizhou Wang, Baba C. Vemuri, B. Vemuri, 2005, IEEE Transactions on Medical Imaging.

Multi-fiber Reconstruction from Diffusion MRI Using Mixture of Wisharts and Sparse Deconvolution

Baba C. Vemuri, Bing Jian, B. Vemuri, 2007, IPMI.

A coupled PDE model of nonlinear diffusion for image smoothing and segmentation

Li Wang, Yunmei Chen, Baba C. Vemuri, 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

Canonical Correlation Analysis on Riemannian Manifolds and Its Applications

Vikas Singh, Sterling C. Johnson, Baba C. Vemuri, 2014, ECCV.

A geometric flow for white matter fibre tract reconstruction

Kaleem Siddiqi, Baba C. Vemuri, Jennifer S. W. Campbell, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Robust Fréchet Mean and PGA on Riemannian Manifolds with Applications to Neuroimaging

Baba C. Vemuri, Monami Banerjee, Bing Jian, 2017, IPMI.

Statistical Analysis of Tensor Fields

Baba C. Vemuri, Jeffrey Ho, Yuchen Xie, 2010, MICCAI.

A New & Robust Information Theoretic Measure and Its Application to Image Alignment

Yunmei Chen, Baba C. Vemuri, Fei Wang, 2003, IPMI.

Nested Grassmanns for Dimensionality Reduction pdf

Baba C. Vemuri, Chun-Hao Yang, 2020, ArXiv.

Surface and motion estimation from sparse range data

Baba C. Vemuri, Gunleiv Skofteland, 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Localization of objects from range data

Jake K. Aggarwal, Baba C. Vemuri, J. Aggarwal, 1988, Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition.

Diffusion Basis Functions Decomposition for Estimating White Matter Intravoxel Fiber Geometry

Mariano Rivera, Baba C. Vemuri, Alonso Ramirez-Manzanares, 2007, IEEE Transactions on Medical Imaging.

Fast solution to the surface reconstruction problem

Shang-Hong Lai, Baba C. Vemuri, B. Vemuri, 1993, Optics & Photonics.

Efficient multi-modal image registration using local-frequency maps

Jundong Liu, Baba C. Vemuri, Frank J. Bova, 2002, Machine Vision and Applications.

Efficient hybrid search for visual reconstruction problems

Shang-Hong Lai, Baba C. Vemuri, S. Lai, 1999, Image Vis. Comput..

Dynamic Modeling of Butterfly Subdivision Surfaces

Hong Qin, Baba C. Vemuri, Chhandomay Mandal, 2000, IEEE Trans. Vis. Comput. Graph..

Higher Rank Tensors in Diffusion MRI

Baba C. Vemuri, Evren Özarslan, Thomas H. Mareci, 2006, Visualization and Processing of Tensor Fields.

Statistical analysis of a nonlinear estimator for ADC and its application to optimizing diffusion weighting factors

Zhizhou Wang, Yunmei Chen, Baba C. Vemuri, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

A Physical basis for multi-fiber reconstruction from DW-MRI data

Baba C. Vemuri, Angelos Barmpoutis, Ritwik Kumar, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Eigenbubbles: An Enhanced Apparent BRDF Representation

Baba C. Vemuri, Ritwik Kumar, Arunava Banerjee, 2010, 2010 20th International Conference on Pattern Recognition.

Multiple Atlas Construction From A Heterogeneous Brain MR Image Collection

Baba C. Vemuri, Jeffrey Ho, Yuchen Xie, 2013, IEEE Transactions on Medical Imaging.

Complex diffusion on image graphs

Baba C. Vemuri, Dohyung Seo, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Interpolation on the Manifold of K Component GMMs

Vikas Singh, Baba C. Vemuri, Hyunwoo J. Kim, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Representation and recognition of objects from dense range maps

Baba C. Vemuri, B. Vemuri, 1987 .

Energy Minimization Methods in Computer Vision and Pattern Recognition: 5th International Workshop, EMMCVPR 2005, St. Augustine, FL, USA, November 9-11, ... (Lecture Notes in Computer Science)

Alan L. Yuille, Anand Rangarajan, Baba C. Vemuri, 2005 .

3-D Object Representation from Range Data Using Intrinsic Surface Properties

Amar Mitiche, Baba C. Vemuri, Jake K. Aggarwal, 1987 .

Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition

Alan L. Yuille, Anand Rangarajan, Baba C. Vemuri, 2005 .

Complex Diffusion on Scalar and Vector Valued Image Graphs

Baba C. Vemuri, Dohyung Seo, B. Vemuri, 2009, EMMCVPR.

Bhattacharyya median of symmetric positive-definite matrices and application to the denoising of diffusion-tensor fields

Baba C. Vemuri, Maher Moakher, Malek Charfi, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Geometric Methods in Computer Vision

Baba C. Vemuri, B. Vemuri, 1991 .

Statistical Recurrent Models on Manifold valued Data pdf

Rudrasis Chakraborty, Baba C. Vemuri, David E. Vaillancourt, 2018, NIPS 2018.

A Novel Dynamic System in the Space of SPD Matrices with Applications to Appearance Tracking

Baba C. Vemuri, Guang Cheng, B. Vemuri, 2013, SIAM J. Imaging Sci..

Robust Multimodal Image Registration Using Local Frequency Representations

Jundong Liu, Baba C. Vemuri, José L. Marroquín, 2001, IPMI.

Recursive Fréchet Mean Computation on the Grassmannian and Its Applications to Computer Vision

Rudrasis Chakraborty, Baba C. Vemuri, B. Vemuri, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Simultaneous Registration and Parcellation of Bilateral Hippocampal Surface Pairs for Local Asymmetry Quantification

Baba C. Vemuri, Stephan J. Eisenschenk, Jeffrey Ho, 2007, IEEE Transactions on Medical Imaging.

An affine invariant tensor dissimilarity measure and its applications to tensor-valued image segmentation

Zhizhou Wang, Baba C. Vemuri, B. Vemuri, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

DMR-CNN: A CNN Tailored For DMR Scans With Applications To PD Classification

Baba C. Vemuri, Monami Banerjee, Derek Archer, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Variational Principles for Diffusion Weighted MRI Restoration and Segmentation

Baba C. Vemuri, 2005, The 2nd Canadian Conference on Computer and Robot Vision (CRV'05).

Adaptive Kernels for Multi-fiber Reconstruction

Baba C. Vemuri, Angelos Barmpoutis, Bing Jian, 2009, IPMI.

The MPM-MAP algorithm for motion segmentation

Baba C. Vemuri, Salvador Botello Rionda, Félix Calderón, 2004, Comput. Vis. Image Underst..

Nonlinear Regression on Riemannian Manifolds and Its Applications to Neuro-Image Analysis

Rudrasis Chakraborty, Baba C. Vemuri, David E. Vaillancourt, 2015, MICCAI.

Efficient and robust algorithms for multimodal image registration

Jundong Liu, Baba C. Vemuri, 2002 .

Multiresolution stochastic hybrid shape models with fractal priors

Baba C. Vemuri, A. Radisavljevic, B. Vemuri, 1994, TOGS.

Statistics on the space of trajectories for longitudinal data analysis

Rudrasis Chakraborty, Baba C. Vemuri, Monami Banerjee, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Simultaneous Registration and Segmentation of Anatomical Structures from Brain MRI

Baba C. Vemuri, Fei Wang, 2005, MICCAI.

Groupwise Registration and Atlas Construction of 4th-Order Tensor Fields Using the R + Riemannian Metric

Baba C. Vemuri, Angelos Barmpoutis, B. Vemuri, 2009, MICCAI.

A fast Gibbs sampler for synthesizing constrained fractals

Shang-Hong Lai, Baba C. Vemuri, Chhandomay Mandal, 1996, Proceedings of Seventh Annual IEEE Visualization '96.

On A Nonlinear Generalization of Sparse Coding and Dictionary Learning

Baba C. Vemuri, Jeffrey Ho, Yuchen Xie, 2013, ICML.

Anisotropic alpha -Kernels and Associated Flows

Baba C. Vemuri, Nir A. Sochen, Micha Feigin, 2007, SSVM.

Beyond the Lambertian assumption: A generative model for Apparent BRDF fields of faces using anti-symmetric tensor splines

Baba C. Vemuri, Angelos Barmpoutis, Ritwik Kumar, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Dictionary Learning and Sparse Coding on Statistical Manifolds pdf

Rudrasis Chakraborty, Baba C. Vemuri, Monami Banerjee, 2018, ArXiv.

Supervised learning for brain MR segmentation via fusion of partially labeled multiple atlases

Anand Rangarajan, Yan Deng, Baba C. Vemuri, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Fast Non-rigid Multimodal Image Registration Using Local Frequency Maps

Jundong Liu, Baba C. Vemuri, 2001, MICCAI.

Fast Orientation Mapping from HARDI

Baba C. Vemuri, Stephen J. Blackband, Timothy M. Shepherd, 2005, MICCAI.

Special Section in Celebration of Professor J.K. Aggarwal

Rama Chellappa, Baba C. Vemuri, R. Chellappa, 2013, Comput. Vis. Image Underst..

H-CNNs: Convolutional Neural Networks for Riemannian Homogeneous Spaces pdf

Rudrasis Chakraborty, Baba C. Vemuri, Monami Banerjee, 2018, ArXiv.

Fast numerical algorithms for fitting multiresolution hybrid shape models to brain MRI

Shang-Hong Lai, Baba C. Vemuri, Yanlin Guo, 1998, Medical Image Anal..

Geometric methods in computer vision : 25-26 July 1991, San Diego, California

Baba C. Vemuri, 1991 .

Robust Tensor Splines for Approximation of Diffusion Tensor MRI Data

Baba C. Vemuri, Angelos Barmpoutis, John R. Forder, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

Generalized L2-Divergence and Its Application to Shape Alignment

Tanveer F. Syeda-Mahmood, Baba C. Vemuri, Fei Wang, 2009, IPMI.

Image atlas construction via intrinsic averaging on the manifold of images

Baba C. Vemuri, Jeffrey Ho, Yuchen Xie, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Quaternion-Based Color Image Smoothing Using a Spatially Varying Kernel

Baba C. Vemuri, Özlem N. Subakan, B. Vemuri, 2009, EMMCVPR.

A Riemannian Framework for Matching Point Clouds Represented by the Schrödinger Distance Transform

Anand Rangarajan, Yan Deng, Baba C. Vemuri, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Closed-Form Jensen-Renyi Divergence for Mixture of Gaussians and Applications to Group-Wise Shape Registration

David Beymer, Tanveer F. Syeda-Mahmood, Anand Rangarajan, 2009, MICCAI.

Group-Wise Point-Set Registration Using a Novel CDF-Based Havrda-Charvát Divergence

Ting Chen, Anand Rangarajan, Baba C. Vemuri, 2009, International Journal of Computer Vision.

A Mixture Model for Aggregation of Multiple Pre-Trained Weak Classifiers

Rudrasis Chakraborty, Baba C. Vemuri, Chun-Hao Yang, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

A nonparametric reconstruction and its matrix implementation for the diffusion orientation transform (DOT)

Baba C. Vemuri, Stephen J. Blackband, Timothy M. Shepherd, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Fast Collision Detection Algorithms with Applications to Particle Flow

Baba C. Vemuri, Li Chen, Y. Cao, 1998, Comput. Graph. Forum.

Dynamic Catmull-Clark Subdivision Surfaces

Hong Qin, Baba C. Vemuri, Chhandomay Mandal, 1998, IEEE Trans. Vis. Comput. Graph..

An efficient expected time parallel algorithm for Voronoi construction

R. Varadarajan, Baba C. Vemuri, Niranjan Mayya, 1992, SPAA '92.

A Geometric Variational Framework for Simultaneous Registration and Parcellation of Homologous Surfaces

Baba C. Vemuri, Stephan J. Eisenschenk, Jeffrey Ho, 2007, SSVM.

A Robust and Efficient Doubly Regularized Metric Learning Approach

Baba C. Vemuri, Meizhu Liu, B. Vemuri, 2012, ECCV.

Multimodal image registration using local frequency

Jonathan Liu, Baba C. Vemuri, Frank J. Bova, 2000, Proceedings Fifth IEEE Workshop on Applications of Computer Vision.

Snake pedals: geometric models with physics-based control

Baba C. Vemuri, Yanlin Guo, 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

Image analysis of solid-liquid interface morphology in freezing solutions

Larry S. Davis, Jake K. Aggarwal, Baba C. Vemuri, 1983, Pattern Recognit..

Variable-Bit-Lengthn Coding: An Effective Coding Method

Sartaj Sahni, Baba C. Vemuri, F. Chen, 1999, VISUAL.

Intrinsic Grassmann Averages for Online Linear and Robust Subspace Learning

Søren Hauberg, Rudrasis Chakraborty, Baba C. Vemuri, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Statistical analysis of longitudinal data and applications to neuro-imaging

Rudrasis Chakraborty, Baba C. Vemuri, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Multiresolution Adaptive K-means Algorithm for Segmentation of Brain MRI

J. Li, Baba C. Vemuri, Syed M. Rahman, 1995, ICSC.

Fast displacement probability profile approximation from HARDI using 4th-order tensors

Baba C. Vemuri, Angelos Barmpoutis, John R. Forder, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Segmentation of High Angular Resolution Diffusion MRI Modeled as a Field of von Mises-Fisher Mixtures

Baba C. Vemuri, Tim McGraw, Thomas H. Mareci, 2006, ECCV.

Kernel Fisher discriminant for shape-based classification in epilepsy

Anand Rangarajan, Baba C. Vemuri, Stephan J. Eisenschenk, 2007, Medical Image Anal..

A novel intrinsic unscented Kalman filter for tractography from HARDI

Baba C. Vemuri, Hesamoddin Salehian, Guang Cheng, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Fiber orientation mapping using generalized diffusion tensor imaging

Baba C. Vemuri, Evren Özarslan, Thomas H. Mareci, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Manifold-valued Dirichlet Processes

Jia Xu, Vikas Singh, Baba C. Vemuri, 2015, ICML.

Shape recovery using dynamic subdivision surfaces

Hong Qin, Baba C. Vemuri, Chhandomay Mandal, 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

RBoost: Riemannian distance based regularized Boosting

Baba C. Vemuri, Meizhu Liu, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Total Bregman divergence and its applications to shape retrieval

Frank Nielsen, Shun-ichi Amari, Baba C. Vemuri, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Caviar: Classification via aggregated regression and its application in classifying oasis brain database

Ting Chen, Anand Rangarajan, Baba C. Vemuri, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Feature Preserving Image Smoothing Using a Continuous Mixture of Tensors

Baba C. Vemuri, Özlem N. Subakan, C. Eduardo Vallejos, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Curvature-based representation of objects from range data

Jake K. Aggarwal, Amar Mitiche, Baba C. Vemuri, 1986, Image Vis. Comput..

von Mises-Fisher mixture model of the diffusion ODF

Baba C. Vemuri, Tim McGraw, Thomas H. Mareci, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Matching 3D Shapes Using 2D Conformal Representations

Xianfeng Gu, Baba C. Vemuri, B. Vemuri, 2004, MICCAI.

Gaussian Distributions on Riemannian Symmetric Spaces: Statistical Learning With Structured Covariance Matrices

Baba C. Vemuri, Salem Said, Lionel Bombrun, 2016, IEEE Transactions on Information Theory.

A Deep Neural Network for Manifold-Valued Data with Applications to Neuroimaging

Rudrasis Chakraborty, Jonathan H. Manton, Baba C. Vemuri, 2019, IPMI.

3-D MODEL CONSTRUCTION FROM MULTIPLE VIEWS USING RANGE AND INTENSITY DATA.

Baba C. Vemuri, J. K. Aggarwal, J. Aggarwal, 1986 .

USSR: A Unified Framework for Simultaneous Smoothing, Segmentation, and Registration of Multiple Images

Baba C. Vemuri, Jeffrey Ho, Nicholas A. Lord, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Erratum to “A novel tensor distribution model for the diffusion-weighted MR signal” [NeuroImage 37 (2007) 164–176]

Baba C. Vemuri, Evren Özarslan, Paul R. Carney, 2008, NeuroImage.

Hybrid Geometric Active Models for Shape Recovery in Medical Images

Baba C. Vemuri, Yanlin Guo, B. Vemuri, 1999, IPMI.

A New Dynamic FEM-Based Subdivision Surface Model for Shape Recovery and Tracking in Medical Images

Hong Qin, Baba C. Vemuri, Chhandomay Mandal, 1998, MICCAI.

Trainable Convolution Filters and Their Application to Face Recognition

Hanspeter Pfister, Baba C. Vemuri, Ritwik Kumar, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

An efficient motion estimator with application to medical image registration

Sartaj Sahni, Baba C. Vemuri, Robin L. Gilmore, 1998, Medical Image Anal..

An Accurate and Efficient Bayesian Method for Automatic Segmentation of Brain MRI

Baba C. Vemuri, Salvador Botello Rionda, Félix Calderón, 2002, ECCV.

DT-MRI denoising and neuronal fiber tracking

Yunmei Chen, Baba C. Vemuri, Tim McGraw, 2004, Medical Image Anal..

Tracking on the Product Manifold of Shape and Orientation for Tractography from Diffusion MRI

Baba C. Vemuri, Hesamoddin Salehian, Guang Cheng, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Groupwise analysis of neuroimaging data

Baba C. Vemuri, Ting Chen, 2011 .

Multi-Resolution Stochastic 3D Shape Models for Image Segmentation

Baba C. Vemuri, A. Radisavljevic, Christiana Morison Leonard, 1993, IPMI.

ManifoldNet: A Deep Network Framework for Manifold-valued Data pdf

Rudrasis Chakraborty, Jonathan H. Manton, Baba C. Vemuri, 2018, ArXiv.

Using the KL-center for efficient and accurate retrieval of distributions arising from texture images

Baba C. Vemuri, Murali Rao, Eric Spellman, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Image segmentation via convolution of a level-set function with a Rigaut Kernel

Baba C. Vemuri, Özlem N. Subakan, B. Vemuri, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Approximating Symmetric Positive Semidefinite Tensors of Even Order

Baba C. Vemuri, Angelos Barmpoutis, Jeffrey Ho, 2012, SIAM J. Imaging Sci..

Recursive Karcher Expectation Estimators And Geometric Law of Large Numbers

Baba C. Vemuri, Hesamoddin Salehian, Guang Cheng, 2013, AISTATS.

Construction of a neuroanatomical shape complex atlas from 3D MRI brain structures

Ting Chen, Anand Rangarajan, Baba C. Vemuri, 2012, NeuroImage.

Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging

Vikas Singh, Sterling C. Johnson, Baba C. Vemuri, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Matching and Classification of Images Using The Space of Image Graphs

Baba C. Vemuri, Jeffrey Ho, Dohyung Seo, 2011 .

Information Theoretic Methods for Diffusion-Weighted MRI Analysis

Baba C. Vemuri, Angelos Barmpoutis, 2008, ETVC.

Surface griding with intrinsic parameters

Baba C. Vemuri, Ravi Malladi, R. Malladi, 1992, Pattern Recognit. Lett..

Efficient Shape Indexing Using an Information Theoretic Representation

Baba C. Vemuri, Eric Spellman, B. Vemuri, 2005, CIVR.

An Efficient Exact-PGA Algorithm for Constant Curvature Manifolds

Rudrasis Chakraborty, Baba C. Vemuri, Dohyung Seo, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Non-Lambertian Reflectance Modeling and Shape Recovery of Faces Using Tensor Splines

Baba C. Vemuri, Angelos Barmpoutis, Ritwik Kumar, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A constrained variational principle for direct estimation and smoothing of the diffusion tensor field from complex DWI

Zhizhou Wang, Yunmei Chen, Baba C. Vemuri, 2004, IEEE Transactions on Medical Imaging.

Image Compression: Lossless

Sartaj Sahni, Baba C. Vemuri, Jeffrey R. Fitzsimmons, 2015 .

Symmetric Positive 4th Order Tensors & Their Estimation from Diffusion Weighted MRI

Baba C. Vemuri, Angelos Barmpoutis, Timothy M. Shepherd, 2007, IPMI.

Multi-fiber reconstruction from DW-MRI using a continuous mixture of von Mises-Fisher distributions

Baba C. Vemuri, Angelos Barmpoutis, Ritwik Kumar, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Leveraging EAP-Sparsity for Compressed Sensing of MS-HARDI in (k, q)-Space

Baba C. Vemuri, Alireza Entezari, Jiaqi Sun, 2015, IPMI.

Efficient anisotropic α-Kernels decompositions and flows

Baba C. Vemuri, Nir A. Sochen, Micha Feigin, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Line Integral Convolution for Visualization of Fiber Tract Maps from DTI

Zhizhou Wang, Yunmei Chen, Baba C. Vemuri, 2002, MICCAI.

A New Affine Registration Algorithm for Matching 2D Point Sets

Ming-Hsuan Yang, Anand Rangarajan, Baba C. Vemuri, 2007, 2007 IEEE Workshop on Applications of Computer Vision (WACV '07).

Tensor Splines for Interpolation and Approximation of DT-MRI With Applications to Segmentation of Isolated Rat Hippocampi

Baba C. Vemuri, Angelos Barmpoutis, Timothy M. Shepherd, 2007, IEEE Transactions on Medical Imaging.

Real-Time DRR Generation Using Cylindrical Harmonics

Baba C. Vemuri, Fei Wang, Thomas E. Davis, 2002, MICCAI.

A Geometric Framework for Statistical Analysis of Trajectories with Distinct Temporal Spans

Vikas Singh, Rudrasis Chakraborty, Baba C. Vemuri, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

A Nonlinear Regression Technique for Manifold Valued Data with Applications to Medical Image Analysis

Rudrasis Chakraborty, Baba C. Vemuri, Michael S. Okun, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

MVC-Net: A Convolutional Neural Network Architecture for Manifold-Valued Images With Applications pdf

Baba C. Vemuri, Chun-Hao Yang, David Vaillancourt, 2020, ArXiv.

Efficient Recursive Algorithms for Computing the Mean Diffusion Tensor and Applications to DTI Segmentation

Baba C. Vemuri, Hesamoddin Salehian, Guang Cheng, 2012, ECCV.

Registration Assisted Image Smoothing and Segmentation

Zhizhou Wang, Yunmei Chen, Baba C. Vemuri, 2002, ECCV.

Dictionary Learning on the Manifold of Square Root Densities and Application to Reconstruction of Diffusion Propagator Fields

Wenxing Ye, Baba C. Vemuri, Alireza Entezari, 2013, IPMI.

Automatic fiber tractography from DTI and its validation

Zhizhou Wang, Yunmei Chen, Baba C. Vemuri, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Front Propagation: A Framework for Topology Independent Shape Modeling and Recovery

Baba C. Vemuri, James A. Sethian, R. Malladi, 1994 .

Volterrafaces: Discriminant analysis using Volterra kernels

Baba C. Vemuri, Ritwik Kumar, Arunava Banerjee, 2009, CVPR.

A fast level set based algorithm for topology-independent shape modeling

Baba C. Vemuri, James A. Sethian, Ravi Malladi, 1996, Journal of Mathematical Imaging and Vision.

Anisotropic Alpha-Kernels and Associated Flows

Baba C. Vemuri, Micha Feigin, Nir Sochen, 2010, SIAM J. Imaging Sci..

An information theoretic formulation of the Dictionary Learning and Sparse Coding Problems on Statistical Manifolds pdf

Rudrasis Chakraborty, Baba C. Vemuri, Monami Banerjee, 2016, ArXiv.

ManifoldNet: A Deep Neural Network for Manifold-Valued Data With Applications

Rudrasis Chakraborty, Jonathan H. Manton, Baba C. Vemuri, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Topology-independent shape modeling scheme

Baba C. Vemuri, Ravikanth Malladi, James A. Sethian, 1993, Optics & Photonics.

A robust variational approach for simultaneous smoothing and estimation of DTI

Rachid Deriche, Baba C. Vemuri, Meizhu Liu, 2013, NeuroImage.

Medical Image Analysis

James S. Duncan, Baba C. Vemuri, B. Vemuri, 1999, IEEE Pulse.

A Higher Order Manifold-Valued Convolutional Neural Network with Applications to Diffusion MRI Processing

Baba C. Vemuri, David E. Vaillancourt, Jose J. Bouza, 2021, IPMI.

Nested Grassmanns for Dimensionality Reduction with Applications to Shape Analysis

Baba C. Vemuri, Chun-Hao Yang, B. Vemuri, 2021, IPMI.

VolterraNet: A Higher Order Convolutional Network With Group Equivariance for Homogeneous Manifolds

Rudrasis Chakraborty, Baba C. Vemuri, Monami Banerjee, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design pdf

Baba C. Vemuri, Chun-Hao Yang, Xiran Fan, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Physics-Based Shape Modeling And Shape Recovery Using Multiresolution Subdivision Surfaces

Hong Qin, Baba C. Vemuri, Chhandomay Mandal, 2005 .

Estimation, smoothing, and characterization of apparent diffusion coefficient profiles from High Angular Resolution DWI

Baba C. Vemuri, Yunmei Chen, Hongchao Zhang, 2004, CVPR 2004.

Variational denoising of diffusion weighted MRI

Baba C. Vemuri, Tim McGraw, Yunmei Chen, 2009 .

Recursive Computation of the Fréchet Mean on Non-positively Curved Riemannian Manifolds with Applications

Baba C. Vemuri, Hesamoddin Salehian, Guang Cheng, 2016 .

A Mixture of Wisharts (MOW) Model for Multifiber Reconstruction

Baba C. Vemuri, Evren Özarslan, Bing Jian, 2009 .

Statistics on the Stiefel manifold: Theory and applications

Rudrasis Chakraborty, Baba C. Vemuri, B. Vemuri, 2019, The Annals of Statistics.

Dictionary Learning on Riemannian Manifolds

Baba C. Vemuri, Jeffrey Ho, Yuchen Xie, 2012 .

The Diffusion Orientation Transform (DOT) for MR Imaging

Baba C. Vemuri, Stephen J. Blackband, Timothy M. Shepherd, 2005 .

An efficient recursive estimator of the Fréchet mean on a hypersphere with applications to Medical Image Analysis

Rudrasis Chakraborty, Baba C. Vemuri, Hesamoddin Salehian, 2015 .

An affine invariant tensor dissimilarity measure and its applications to tensor-valued image segmentation

Zhizhou Wang, Baba C. Vemuri, 2004, CVPR 2004.

Physically-based adaptive preconditioners for early vision

Shang-Hong Lai, Baba C. Vemuri, 1995, Proceedings of the Workshop on Physics-Based Modeling in Computer Vision.

REP-2008-451: Face Relighting for Recognition

Baba C. Vemuri, Angelos Barmpoutis, Arunava Banerjee, 2008 .

Jensen Divergence-Based Means of SPD Matrices

Frank Nielsen, Baba C. Vemuri, Meizhu Liu, 2013 .

Snake pedals: active geometric models for shape modeling and recovery

Baba C. Vemuri, Yanlin Guo, B. Vemuri, 1998 .

Characterization of Anomalous Diffusion from MR Signal may be a New Probe to Tissue Microstructure

Baba C. Vemuri, Stephen J. Blackband, Peter J. Basser, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Simultaneous Smoothing and Estimation of DTI via Robust Variational Non-local Means

Rachid Deriche, Baba C. Vemuri, Meizhu Liu, 2011 .

Total bregman divergence, a robust divergence measure, and its applications

Baba C. Vemuri, Meizhu Liu, B. Vemuri, 2011 .