Baba C. Vemuri

ORCID

Publication Activity (10 Years)

Years Active: 1983-2023
Publications (10 Years): 47

Top Venues

Publications

Xiran Fan, Chun-Hao Yang, Baba C. Vemuri
Horocycle Decision Boundaries for Large Margin Classification in Hyperbolic Space. CoRR (2023)
Jose J. Bouza, Chun-Hao Yang, Baba C. Vemuri
Geometric Deep Learning for Unsupervised Registration of Diffusion Magnetic Resonance Images. IPMI (2023)
Xiran Fan, Chun-Hao Yang, Baba C. Vemuri
Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space. NeurIPS (2023)
Gianfranco Cortes, Yue Yu, Robin Chen, Melissa Armstrong, David E. Vaillancourt, Baba C. Vemuri
Higher Order Gauge Equivariant CNNs on Riemannian Manifolds and Applications. CoRR (2023)
Monami Banerjee, Rudrasis Chakraborty, Jose Bouza, Baba C. Vemuri
VolterraNet: A Higher Order Convolutional Network With Group Equivariance for Homogeneous Manifolds. IEEE Trans. Pattern Anal. Mach. Intell. 44 (2) (2022)
Xiran Fan, Chun-Hao Yang, Baba C. Vemuri
Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design. CVPR (2022)
Rudrasis Chakraborty, Jose Bouza, Jonathan H. Manton, Baba C. Vemuri
ManifoldNet: A Deep Neural Network for Manifold-Valued Data With Applications. IEEE Trans. Pattern Anal. Mach. Intell. 44 (2) (2022)
Chun-Hao Yang, Baba C. Vemuri
Nested Grassmanns for Dimensionality Reduction with Applications to Shape Analysis. IPMI (2021)
Xiran Fan, Chun-Hao Yang, Baba C. Vemuri
Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design. CoRR (2021)
Rudrasis Chakraborty, Liu Yang, Søren Hauberg, Baba C. Vemuri
Intrinsic Grassmann Averages for Online Linear, Robust and Nonlinear Subspace Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43 (11) (2021)
Jose J. Bouza, Chun-Hao Yang, David E. Vaillancourt, Baba C. Vemuri
A Higher Order Manifold-Valued Convolutional Neural Network with Applications to Diffusion MRI Processing. IPMI (2021)
Monami Banerjee, Rudrasis Chakraborty, Jose Bouza, Baba C. Vemuri
VolterraNet: A higher order convolutional network with group equivariance for homogeneous manifolds. CoRR (2021)
Chun-Hao Yang, Baba C. Vemuri
Nested Grassmanns for Dimensionality Reduction. CoRR (2020)
Jose J. Bouza, Chun-Hao Yang, David E. Vaillancourt, Baba C. Vemuri
MVC-Net: A Convolutional Neural Network Architecture for Manifold-Valued Images With Applications. CoRR (2020)
Monami Banerjee, Rudrasis Chakraborty, Derek Archer, David E. Vaillancourt, Baba C. Vemuri
DMR-CNN: A CNN Tailored For DMR Scans With Applications To PD Classification. ISBI (2019)
Rudrasis Chakraborty, Jose Bouza, Jonathan H. Manton, Baba C. Vemuri
A Deep Neural Network for Manifold-Valued Data with Applications to Neuroimaging. IPMI (2019)
Chun-Hao Yang, Baba C. Vemuri
Shrinkage Estimation on the Manifold of Symmetric Positive-Definite Matrices with Applications to Neuroimaging. IPMI (2019)
Jiaqi Sun, Alireza Entezari, Baba C. Vemuri
Exploiting structural redundancy in q-space for improved EAP reconstruction from highly undersampled (k, q)-space in DMRI. Medical Image Anal. 54 (2019)
Baba C. Vemuri, Jiaqi Sun, Monami Banerjee, Zhixin Pan, Sara M. Turner, David D. Fuller, John R. Forder, Alireza Entezari
A geometric framework for ensemble average propagator reconstruction from diffusion MRI. Medical Image Anal. 57 (2019)
Salem Said, Hatem Hajri, Lionel Bombrun, Baba C. Vemuri
Gaussian Distributions on Riemannian Symmetric Spaces: Statistical Learning With Structured Covariance Matrices. IEEE Trans. Inf. Theory 64 (2) (2018)
Rudrasis Chakraborty, Monami Banerjee, Baba C. Vemuri
H-CNNs: Convolutional Neural Networks for Riemannian Homogeneous Spaces. CoRR (2018)
Rudrasis Chakraborty, Chun-Hao Yang, Baba C. Vemuri
A mixture model for aggregation of multiple pre-trained weak classifiers. CoRR (2018)
Rudrasis Chakraborty, Monami Banerjee, Baba C. Vemuri
Dictionary Learning and Sparse Coding on Statistical Manifolds. CoRR (2018)
Rudrasis Chakraborty, Chun-Hao Yang, Xingjian Zhen, Monami Banerjee, Derek Archer, David E. Vaillancourt, Vikas Singh, Baba C. Vemuri
A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices. NeurIPS (2018)
Rudrasis Chakraborty, Chun-Hao Yang, Xingjian Zhen, Monami Banerjee, Derek Archer, David E. Vaillancourt, Vikas Singh, Baba C. Vemuri
Statistical Recurrent Models on Manifold valued Data. CoRR (2018)
Rudrasis Chakraborty, Chun-Hao Yang, Baba C. Vemuri
A Mixture Model for Aggregation of Multiple Pre-Trained Weak Classifiers. CVPR Workshops (2018)
Rudrasis Chakraborty, Jose Bouza, Jonathan H. Manton, Baba C. Vemuri
ManifoldNet: A Deep Network Framework for Manifold-valued Data. CoRR (2018)
Rudrasis Chakraborty, Søren Hauberg, Baba C. Vemuri
Intrinsic Grassmann Averages for Online Linear and Robust Subspace Learning. CoRR (2017)
Rudrasis Chakraborty, Monami Banerjee, Baba C. Vemuri
Statistics on the space of trajectories for longitudinal data analysis. ISBI (2017)
Hyunwoo J. Kim, Nagesh Adluru, Heemanshu Suri, Baba C. Vemuri, Sterling C. Johnson, Vikas Singh
Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging. CVPR (2017)
Rudrasis Chakraborty, Baba C. Vemuri
Statistical analysis of longitudinal data and applications to neuro-imaging. ICIP (2017)
Monami Banerjee, Rudrasis Chakraborty, Baba C. Vemuri
Sparse Exact PGA on Riemannian Manifolds. ICCV (2017)
Monami Banerjee, Bing Jian, Baba C. Vemuri
Robust Fréchet Mean and PGA on Riemannian Manifolds with Applications to Neuroimaging. IPMI (2017)
Rudrasis Chakraborty, Søren Hauberg, Baba C. Vemuri
Intrinsic Grassmann Averages for Online Linear and Robust Subspace Learning. CVPR (2017)
Rudrasis Chakraborty, Baba C. Vemuri
Statistics on the (compact) Stiefel manifold: Theory and Applications. CoRR (2017)
Rudrasis Chakraborty, Vikas Singh, Nagesh Adluru, Baba C. Vemuri
A Geometric Framework for Statistical Analysis of Trajectories with Distinct Temporal Spans. ICCV (2017)
Rudrasis Chakraborty, Dohyung Seo, Baba C. Vemuri
An efficient Exact-PGA algorithm for constant curvature manifolds. CoRR (2016)
Dohyung Seo, Jeffrey Ho, Baba C. Vemuri
Covariant Image Representation with Applications to Classification Problems in Medical Imaging. Int. J. Comput. Vis. 116 (2) (2016)
Rudrasis Chakraborty, Dohyung Seo, Baba C. Vemuri
An Efficient Exact-PGA Algorithm for Constant Curvature Manifolds. CVPR (2016)
Yan Deng, Anand Rangarajan, Baba C. Vemuri
Supervised learning for brain MR segmentation via fusion of partially labeled multiple atlases. ISBI (2016)
Monami Banerjee, Rudrasis Chakraborty, Edward Ofori, Michael S. Okun, David E. Vaillancourt, Baba C. Vemuri
A Nonlinear Regression Technique for Manifold Valued Data with Applications to Medical Image Analysis. CVPR (2016)
Hyunwoo J. Kim, Nagesh Adluru, Monami Banerjee, Baba C. Vemuri, Vikas Singh
Interpolation on the Manifold of K Component GMMs. ICCV (2015)
Jiaqi Sun, Elham Sakhaee, Alireza Entezari, Baba C. Vemuri
Leveraging EAP-Sparsity for Compressed Sensing of MS-HARDI in (k, q)-Space. IPMI (2015)
Hyunwoo J. Kim, Jia Xu, Baba C. Vemuri, Vikas Singh
Manifold-valued Dirichlet Processes. ICML (2015)
Guang Cheng, Hesamoddin Salehian, John R. Forder, Baba C. Vemuri
Tractography From HARDI Using an Intrinsic Unscented Kalman Filter. IEEE Trans. Medical Imaging 34 (1) (2015)
Monami Banerjee, Rudrasis Chakraborty, Edward Ofori, David E. Vaillancourt, Baba C. Vemuri
Nonlinear Regression on Riemannian Manifolds and Its Applications to Neuro-Image Analysis. MICCAI (1) (2015)
Rudrasis Chakraborty, Baba C. Vemuri
Recursive Fréchet Mean Computation on the Grassmannian and Its Applications to Computer Vision. ICCV (2015)
Hyunwoo J. Kim, Nagesh Adluru, Barbara B. Bendlin, Sterling C. Johnson, Baba C. Vemuri, Vikas Singh
Canonical Correlation Analysis on Riemannian Manifolds and Its Applications. ECCV (2) (2014)
Hesamoddin Salehian, David E. Vaillancourt, Baba C. Vemuri
iPGA: Incremental Principal Geodesic Analysis with Applications to Movement Disorder Classification. MICCAI (2) (2014)
Yuanxiang Wang, Hesamoddin Salehian, Guang Cheng, Baba C. Vemuri
Tracking on the Product Manifold of Shape and Orientation for Tractography from Diffusion MRI. CVPR (2014)
Yan Deng, Anand Rangarajan, Stephan J. Eisenschenk, Baba C. Vemuri
A Riemannian Framework for Matching Point Clouds Represented by the Schrödinger Distance Transform. CVPR (2014)
Jeffrey Ho, Guang Cheng, Hesamoddin Salehian, Baba C. Vemuri
Recursive Karcher Expectation Estimators And Geometric Law of Large Numbers. AISTATS (2013)
Dohyung Seo, Jeffrey Ho, Baba C. Vemuri
Computing Diffeomorphic Paths for Large Motion Interpolation. CVPR (2013)
Malek Charfi, Zeineb Chebbi, Maher Moakher, Baba C. Vemuri
Bhattacharyya median of symmetric positive-definite matrices and application to the denoising of diffusion-tensor fields. ISBI (2013)
Malek Charfi, Zeineb Chebbi, Maher Moakher, Baba C. Vemuri
Using the Bhattacharyya Mean for the Filtering and Clustering of Positive-Definite Matrices. GSI (2013)
Guang Cheng, Baba C. Vemuri
A Novel Dynamic System in the Space of SPD Matrices with Applications to Appearance Tracking. SIAM J. Imaging Sci. 6 (1) (2013)
Meizhu Liu, Baba C. Vemuri, Rachid Deriche
A robust variational approach for simultaneous smoothing and estimation of DTI. NeuroImage 67 (2013)
Yuchen Xie, Jeffrey Ho, Baba C. Vemuri
Multiple Atlas Construction From A Heterogeneous Brain MR Image Collection. IEEE Trans. Medical Imaging 32 (3) (2013)
Jeffrey Ho, Yuchen Xie, Baba C. Vemuri
On A Nonlinear Generalization of Sparse Coding and Dictionary Learning. ICML (3) (2013)
Rama Chellappa, Baba C. Vemuri
Special Section in Celebration of Professor J.K. Aggarwal. Comput. Vis. Image Underst. 117 (10) (2013)
Hesamoddin Salehian, Guang Cheng, Baba C. Vemuri, Jeffrey Ho
Recursive Estimation of the Stein Center of SPD Matrices and Its Applications. ICCV (2013)
Jiaqi Sun, Yuchen Xie, Wenxing Ye, Jeffrey Ho, Alireza Entezari, Stephen J. Blackband, Baba C. Vemuri
Dictionary Learning on the Manifold of Square Root Densities and Application to Reconstruction of Diffusion Propagator Fields. IPMI (2013)
Meizhu Liu, Baba C. Vemuri, Rachid Deriche
Unsupervised automatic white matter fiber clustering using a Gaussian mixture model. ISBI (2012)
Guang Cheng, Hesamoddin Salehian, Baba C. Vemuri
Efficient Recursive Algorithms for Computing the Mean Diffusion Tensor and Applications to DTI Segmentation. ECCV (7) (2012)
Meizhu Liu, Baba C. Vemuri, Shun-ichi Amari, Frank Nielsen
Shape Retrieval Using Hierarchical Total Bregman Soft Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 34 (12) (2012)
Guang Cheng, Hesamoddin Salehian, Min-Sig Hwang, Dena Howland, John R. Forder, Baba C. Vemuri
A novel intrinsic unscented Kalman filter for tractography from HARDI. ISBI (2012)
Ritwik Kumar, Arunava Banerjee, Baba C. Vemuri, Hanspeter Pfister
Trainable Convolution Filters and Their Application to Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 34 (7) (2012)
Angelos Barmpoutis, Jeffrey Ho, Baba C. Vemuri
Approximating Symmetric Positive Semidefinite Tensors of Even Order. SIAM J. Imaging Sci. 5 (1) (2012)
Frank Nielsen, Meizhu Liu, Xiaojing Ye, Baba C. Vemuri
Jensen divergence based SPD matrix means and applications. ICPR (2012)
Meizhu Liu, Baba C. Vemuri
A Robust and Efficient Doubly Regularized Metric Learning Approach. ECCV (4) (2012)
Wenxing Ye, Baba C. Vemuri, Alireza Entezari
An over-complete dictionary based regularized reconstruction of a field of ensemble average propagators. ISBI (2012)
Wenxing Ye, Sharon Portnoy, Alireza Entezari, Stephen J. Blackband, Baba C. Vemuri
An Efficient Interlaced Multi-Shell Sampling Scheme for Reconstruction of Diffusion Propagators. IEEE Trans. Medical Imaging 31 (5) (2012)
Ting Chen, Anand Rangarajan, Stephan J. Eisenschenk, Baba C. Vemuri
Construction of a neuroanatomical shape complex atlas from 3D MRI brain structures. NeuroImage 60 (3) (2012)
Ritwik Kumar, Arunava Banerjee, Baba C. Vemuri, Hanspeter Pfister
Maximizing all margins: Pushing face recognition with Kernel Plurality. ICCV (2011)
Baba C. Vemuri, Meizhu Liu, Shun-ichi Amari, Frank Nielsen
Total Bregman Divergence and Its Applications to DTI Analysis. IEEE Trans. Medical Imaging 30 (2) (2011)
Meizhu Liu, Baba C. Vemuri
RBoost: Riemannian distance based regularized Boosting. ISBI (2011)
Yuchen Xie, Jeffrey Ho, Baba C. Vemuri
Nonnegative Factorization of Diffusion Tensor Images and Its Applications. IPMI (2011)
Ting Chen, Baba C. Vemuri, Anand Rangarajan, Stephan J. Eisenschenk
Mixture of Segmenters with Discriminative Spatial Regularization and Sparse Weight Selection. MICCAI (3) (2011)
Meizhu Liu, Baba C. Vemuri
Robust and efficient regularized boosting using total Bregman divergence. CVPR (2011)
Bing Jian, Baba C. Vemuri
Robust Point Set Registration Using Gaussian Mixture Models. IEEE Trans. Pattern Anal. Mach. Intell. 33 (8) (2011)
Ritwik Kumar, Angelos Barmpoutis, Arunava Banerjee, Baba C. Vemuri
Non-Lambertian Reflectance Modeling and Shape Recovery of Faces Using Tensor Splines. IEEE Trans. Pattern Anal. Mach. Intell. 33 (3) (2011)
Guang Cheng, Baba C. Vemuri, Min-Sig Hwang, Dena Howland, John R. Forder
Atlas construction from high angular resolution diffusion imaging data represented by Gaussian Mixture fields. ISBI (2011)
Özlem N. Subakan, Baba C. Vemuri
A Quaternion Framework for Color Image Smoothing and Segmentation. Int. J. Comput. Vis. 91 (3) (2011)
Wenxing Ye, Sharon Portnoy, Alireza Entezari, Baba C. Vemuri, Stephen J. Blackband
Box spline based 3D tomographic reconstruction of diffusion propagators from MRI data. ISBI (2011)
Angelos Barmpoutis, Baba C. Vemuri
A unified framework for estimating diffusion tensors of any order with symmetric positive-definite constraints. ISBI (2010)
Meizhu Liu, Baba C. Vemuri, Shun-ichi Amari, Frank Nielsen
Total Bregman divergence and its applications to shape retrieval. CVPR (2010)
Wenxing Ye, Alireza Entezari, Baba C. Vemuri
Tomographic reconstruction of diffusion propagators from DW-MRI using optimal sampling lattices. ISBI (2010)
Ting Chen, Baba C. Vemuri, Anand Rangarajan, Stephan J. Eisenschenk
Group-Wise Point-Set Registration Using a Novel CDF-Based Havrda-Charvát Divergence. Int. J. Comput. Vis. 86 (1) (2010)
Micha Feigin, Nir A. Sochen, Baba C. Vemuri
Anisotropic Alpha-Kernels and Associated Flows. SIAM J. Imaging Sci. 3 (4) (2010)
Ting Chen, Anand Rangarajan, Stephan J. Eisenschenk, Baba C. Vemuri
Construction of Neuroanatomical Shape Complex Atlas from 3D Brain MRI. MICCAI (3) (2010)
Ritwik Kumar, Baba C. Vemuri, Arunava Banerjee
Eigenbubbles: An Enhanced Apparent BRDF Representation. ICPR (2010)
Yuchen Xie, Jeffrey Ho, Baba C. Vemuri
Image atlas construction via intrinsic averaging on the manifold of images. CVPR (2010)
Ting Chen, Anand Rangarajan, Baba C. Vemuri
CAVIAR: classification via aggregated regression and its application in classifying oasis brain database. ISBI (2010)
Yuchen Xie, Baba C. Vemuri, Jeffrey Ho
Statistical Analysis of Tensor Fields. MICCAI (1) (2010)
Ritwik Kumar, Arunava Banerjee, Baba C. Vemuri
Volterrafaces: Discriminant analysis using Volterra kernels. CVPR (2009)
Angelos Barmpoutis, Baba C. Vemuri
Riemannian Metric. MICCAI (1) (2009)
Guang Cheng, Baba C. Vemuri, Paul R. Carney, Thomas H. Mareci
Non-rigid Registration of High Angular Resolution Diffusion Images Represented by Gaussian Mixture Fields. MICCAI (1) (2009)
Özlem N. Subakan, Baba C. Vemuri
Color Image Segmentation in a Quaternion Framework. EMMCVPR (2009)
Ritwik Kumar, Baba C. Vemuri, Fei Wang, Tanveer Fathima Syeda-Mahmood, Paul R. Carney, Thomas H. Mareci
Multi-fiber Reconstruction from DW-MRI Using a Continuous Mixture of Hyperspherical von Mises-Fisher Distributions. IPMI (2009)
Dohyung Seo, Baba C. Vemuri
Complex diffusion on image graphs. ICIP (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Baba C. Vemuri