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ORCIDBaba C. Vemuri
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- affiliation: University of Florida, Gainesville, FL, USA
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2020 – today
- 2024
[c151]Gianfranco Cortés, Yue Yu, Robin Chen, Melissa Armstrong, David E. Vaillancourt, Baba C. Vemuri:
Higher Order Gauge Equivariant Convolutions for Neurodegenerative Disorder Classification. ISBI 2024: 1-4- 2023
- [c150]Jose J. Bouza, Chun-Hao Yang
, Baba C. Vemuri:
Geometric Deep Learning for Unsupervised Registration of Diffusion Magnetic Resonance Images. IPMI 2023: 563-575 - [c149]Xiran Fan, Chun-Hao Yang, Baba C. Vemuri:
Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space. NeurIPS 2023 - [i14]Xiran Fan, Chun-Hao Yang, Baba C. Vemuri:
Horocycle Decision Boundaries for Large Margin Classification in Hyperbolic Space. CoRR abs/2302.06807 (2023) - [i13]Gianfranco Cortés, Yue Yu, Robin Chen, Melissa Armstrong, David E. Vaillancourt, Baba C. Vemuri:
Higher Order Gauge Equivariant CNNs on Riemannian Manifolds and Applications. CoRR abs/2305.16657 (2023) - 2022
- [j71]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): 799-810 (2022) - [j70]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): 823-833 (2022) - [c148]Xiran Fan, Chun-Hao Yang, Baba C. Vemuri:
Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design. CVPR 2022: 356-365 - 2021
- [j69]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): 3904-3917 (2021) - [c147]Chun-Hao Yang, Baba C. Vemuri:
Nested Grassmanns for Dimensionality Reduction with Applications to Shape Analysis. IPMI 2021: 136-149 - [c146]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: 304-317 - [i12]Monami Banerjee, Rudrasis Chakraborty, Jose Bouza, Baba C. Vemuri:
VolterraNet: A higher order convolutional network with group equivariance for homogeneous manifolds. CoRR abs/2106.15301 (2021) - [i11]Xiran Fan, Chun-Hao Yang, Baba C. Vemuri:
Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design. CoRR abs/2112.03402 (2021) - 2020
- [i10]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 abs/2003.01234 (2020) - [i9]Chun-Hao Yang, Baba C. Vemuri:
Nested Grassmanns for Dimensionality Reduction. CoRR abs/2010.14589 (2020)
2010 – 2019
- 2019
- [j68]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: 122-137 (2019) - [j67]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: 89-105 (2019) - [c145]Rudrasis Chakraborty, Jose Bouza, Jonathan H. Manton, Baba C. Vemuri:
A Deep Neural Network for Manifold-Valued Data with Applications to Neuroimaging. IPMI 2019: 112-124 - [c144]Chun-Hao Yang, Baba C. Vemuri:
Shrinkage Estimation on the Manifold of Symmetric Positive-Definite Matrices with Applications to Neuroimaging. IPMI 2019: 566-578 - [c143]Monami Banerjee, Rudrasis Chakraborty, Derek B. Archer, David E. Vaillancourt, Baba C. Vemuri:
DMR-CNN: A CNN Tailored For DMR Scans With Applications To PD Classification. ISBI 2019: 388-391 - 2018
- [j66]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): 752-772 (2018) - [c142]Rudrasis Chakraborty, Chun-Hao Yang, Baba C. Vemuri:
A Mixture Model for Aggregation of Multiple Pre-Trained Weak Classifiers. CVPR Workshops 2018: 341-348 - [c141]Rudrasis Chakraborty, Chun-Hao Yang, Xingjian Zhen, Monami Banerjee, Derek B. Archer, David E. Vaillancourt, Vikas Singh, Baba C. Vemuri:
A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices. NeurIPS 2018: 8897-8908 - [i8]Rudrasis Chakraborty, Monami Banerjee, Baba C. Vemuri:
Dictionary Learning and Sparse Coding on Statistical Manifolds. CoRR abs/1805.02505 (2018) - [i7]Rudrasis Chakraborty, Monami Banerjee, Baba C. Vemuri:
H-CNNs: Convolutional Neural Networks for Riemannian Homogeneous Spaces. CoRR abs/1805.05487 (2018) - [i6]Rudrasis Chakraborty, Chun-Hao Yang, Xingjian Zhen, Monami Banerjee, Derek B. Archer, David E. Vaillancourt, Vikas Singh, Baba C. Vemuri:
Statistical Recurrent Models on Manifold valued Data. CoRR abs/1805.11204 (2018) - [i5]Rudrasis Chakraborty, Chun-Hao Yang, Baba C. Vemuri:
A mixture model for aggregation of multiple pre-trained weak classifiers. CoRR abs/1806.00003 (2018) - [i4]Rudrasis Chakraborty, Jose Bouza, Jonathan H. Manton, Baba C. Vemuri:
ManifoldNet: A Deep Network Framework for Manifold-valued Data. CoRR abs/1809.06211 (2018) - 2017
- [c140]Rudrasis Chakraborty, Søren Hauberg, Baba C. Vemuri:
Intrinsic Grassmann Averages for Online Linear and Robust Subspace Learning. CVPR 2017: 801-809 - [c139]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: 5777-5786 - [c138]Rudrasis Chakraborty, Vikas Singh, Nagesh Adluru, Baba C. Vemuri:
A Geometric Framework for Statistical Analysis of Trajectories with Distinct Temporal Spans. ICCV 2017: 172-181 - [c137]Monami Banerjee, Rudrasis Chakraborty, Baba C. Vemuri:
Sparse Exact PGA on Riemannian Manifolds. ICCV 2017: 5020-5028 - [c136]Rudrasis Chakraborty, Baba C. Vemuri:
Statistical analysis of longitudinal data and applications to neuro-imaging. ICIP 2017: 211-214 - [c135]Monami Banerjee, Bing Jian, Baba C. Vemuri:
Robust Fréchet Mean and PGA on Riemannian Manifolds with Applications to Neuroimaging. IPMI 2017: 3-15 - [c134]Rudrasis Chakraborty, Monami Banerjee, Baba C. Vemuri:
Statistics on the space of trajectories for longitudinal data analysis. ISBI 2017: 999-1002 - [i3]Rudrasis Chakraborty, Søren Hauberg, Baba C. Vemuri:
Intrinsic Grassmann Averages for Online Linear and Robust Subspace Learning. CoRR abs/1702.01005 (2017) - [i2]Rudrasis Chakraborty, Baba C. Vemuri:
Statistics on the (compact) Stiefel manifold: Theory and Applications. CoRR abs/1708.00045 (2017) - 2016
- [j65]Dohyung Seo, Jeffrey Ho, Baba C. Vemuri:
Covariant Image Representation with Applications to Classification Problems in Medical Imaging. Int. J. Comput. Vis. 116(2): 190-209 (2016) - [c133]Rudrasis Chakraborty, Dohyung Seo, Baba C. Vemuri:
An Efficient Exact-PGA Algorithm for Constant Curvature Manifolds. CVPR 2016: 3976-3984 - [c132]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: 4424-4432 - [c131]Yan Deng, Anand Rangarajan, Baba C. Vemuri:
Supervised learning for brain MR segmentation via fusion of partially labeled multiple atlases. ISBI 2016: 633-637 - [i1]Rudrasis Chakraborty, Dohyung Seo, Baba C. Vemuri:
An efficient Exact-PGA algorithm for constant curvature manifolds. CoRR abs/1603.03984 (2016) - 2015
- [j64]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): 298-305 (2015) - [c130]Hyunwoo J. Kim, Nagesh Adluru, Monami Banerjee, Baba C. Vemuri, Vikas Singh:
Interpolation on the Manifold of K Component GMMs. ICCV 2015: 2884-2892 - [c129]Rudrasis Chakraborty, Baba C. Vemuri:
Recursive Fréchet Mean Computation on the Grassmannian and Its Applications to Computer Vision. ICCV 2015: 4229-4237 - [c128]Hyunwoo J. Kim, Jia Xu, Baba C. Vemuri, Vikas Singh:
Manifold-valued Dirichlet Processes. ICML 2015: 1199-1208 - [c127]Jiaqi Sun, Elham Sakhaee, Alireza Entezari, Baba C. Vemuri:
Leveraging EAP-Sparsity for Compressed Sensing of MS-HARDI in (k, q)-Space. IPMI 2015: 375-386 - [c126]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: 719-727 - 2014
- [c125]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: 3051-3056 - [c124]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: 3756-3761 - [c123]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: 251-267 - [c122]Hesamoddin Salehian, David E. Vaillancourt, Baba C. Vemuri:
iPGA: Incremental Principal Geodesic Analysis with Applications to Movement Disorder Classification. MICCAI (2) 2014: 765-772 - 2013
- [j63]Rama Chellappa, Baba C. Vemuri:
Special Section in Celebration of Professor J.K. Aggarwal. Comput. Vis. Image Underst. 117(10): 1203 (2013) - [j62]Meizhu Liu, Baba C. Vemuri, Rachid Deriche:
A robust variational approach for simultaneous smoothing and estimation of DTI. NeuroImage 67: 33-41 (2013) - [j61]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): 592-615 (2013) - [j60]Yuchen Xie, Jeffrey Ho, Baba C. Vemuri:
Multiple Atlas Construction From A Heterogeneous Brain MR Image Collection. IEEE Trans. Medical Imaging 32(3): 628-635 (2013) - [c121]Jeffrey Ho, Guang Cheng, Hesamoddin Salehian, Baba C. Vemuri:
Recursive Karcher Expectation Estimators And Geometric Law of Large Numbers. AISTATS 2013: 325-332 - [c120]Dohyung Seo, Jeffrey Ho, Baba C. Vemuri:
Computing Diffeomorphic Paths for Large Motion Interpolation. CVPR 2013: 1227-1232 - [c119]Malek Charfi, Zeineb Chebbi, Maher Moakher, Baba C. Vemuri:
Using the Bhattacharyya Mean for the Filtering and Clustering of Positive-Definite Matrices. GSI 2013: 551-558 - [c118]Hesamoddin Salehian, Guang Cheng, Baba C. Vemuri, Jeffrey Ho:
Recursive Estimation of the Stein Center of SPD Matrices and Its Applications. ICCV 2013: 1793-1800 - [c117]Jeffrey Ho, Yuchen Xie, Baba C. Vemuri:
On A Nonlinear Generalization of Sparse Coding and Dictionary Learning. ICML (3) 2013: 1480-1488 - [c116]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: 619-631 - [c115]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: 1227-1230 - 2012
- [j59]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): 1778-1787 (2012) - [j58]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): 1423-1436 (2012) - [j57]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): 2407-2419 (2012) - [j56]Angelos Barmpoutis, Jeffrey Ho, Baba C. Vemuri:
Approximating Symmetric Positive Semidefinite Tensors of Even Order. SIAM J. Imaging Sci. 5(1): 434-464 (2012) - [j55]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): 1043-1050 (2012) - [c114]Guang Cheng, Hesamoddin Salehian, Baba C. Vemuri:
Efficient Recursive Algorithms for Computing the Mean Diffusion Tensor and Applications to DTI Segmentation. ECCV (7) 2012: 390-401 - [c113]Meizhu Liu, Baba C. Vemuri:
A Robust and Efficient Doubly Regularized Metric Learning Approach. ECCV (4) 2012: 646-659 - [c112]Frank Nielsen, Meizhu Liu, Xiaojing Ye, Baba C. Vemuri:
Jensen divergence based SPD matrix means and applications. ICPR 2012: 2841-2844 - [c111]Meizhu Liu, Baba C. Vemuri, Rachid Deriche:
Unsupervised automatic white matter fiber clustering using a Gaussian mixture model. ISBI 2012: 522-525 - [c110]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: 534-537 - [c109]Wenxing Ye, Baba C. Vemuri, Alireza Entezari:
An over-complete dictionary based regularized reconstruction of a field of ensemble average propagators. ISBI 2012: 940-943 - 2011
- [j54]Özlem N. Subakan, Baba C. Vemuri:
A Quaternion Framework for Color Image Smoothing and Segmentation. Int. J. Comput. Vis. 91(3): 233-250 (2011) - [j53]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): 533-567 (2011) - [j52]Bing Jian, Baba C. Vemuri:
Robust Point Set Registration Using Gaussian Mixture Models. IEEE Trans. Pattern Anal. Mach. Intell. 33(8): 1633-1645 (2011) - [j51]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): 475-483 (2011) - [c108]Meizhu Liu, Baba C. Vemuri:
Robust and efficient regularized boosting using total Bregman divergence. CVPR 2011: 2897-2902 - [c107]Ritwik Kumar, Arunava Banerjee, Baba C. Vemuri, Hanspeter Pfister:
Maximizing all margins: Pushing face recognition with Kernel Plurality. ICCV 2011: 2375-2382 - [c106]Yuchen Xie, Jeffrey Ho, Baba C. Vemuri:
Nonnegative Factorization of Diffusion Tensor Images and Its Applications. IPMI 2011: 550-561 - [c105]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: 397-400 - [c104]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: 549-552 - [c103]Meizhu Liu, Baba C. Vemuri:
RBoost: Riemannian distance based regularized Boosting. ISBI 2011: 1831-1834 - [c102]Ting Chen, Baba C. Vemuri, Anand Rangarajan, Stephan J. Eisenschenk:
Mixture of Segmenters with Discriminative Spatial Regularization and Sparse Weight Selection. MICCAI (3) 2011: 595-602 - 2010
- [j50]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): 111-124 (2010) - [j49]Micha Feigin, Nir A. Sochen, Baba C. Vemuri:
Anisotropic Alpha-Kernels and Associated Flows. SIAM J. Imaging Sci. 3(4): 904-925 (2010) - [c101]Yuchen Xie, Jeffrey Ho, Baba C. Vemuri:
Image atlas construction via intrinsic averaging on the manifold of images. CVPR 2010: 2933-2939 - [c100]Meizhu Liu, Baba C. Vemuri, Shun-ichi Amari, Frank Nielsen:
Total Bregman divergence and its applications to shape retrieval. CVPR 2010: 3463-3468 - [c99]Ritwik Kumar, Baba C. Vemuri, Arunava Banerjee:
Eigenbubbles: An Enhanced Apparent BRDF Representation. ICPR 2010: 1686-1689 - [c98]Wenxing Ye, Alireza Entezari, Baba C. Vemuri:
Tomographic reconstruction of diffusion propagators from DW-MRI using optimal sampling lattices. ISBI 2010: 788-791 - [c97]Ting Chen, Anand Rangarajan, Baba C. Vemuri:
CAVIAR: classification via aggregated regression and its application in classifying oasis brain database. ISBI 2010: 1337-1340 - [c96]Angelos Barmpoutis, Baba C. Vemuri:
A unified framework for estimating diffusion tensors of any order with symmetric positive-definite constraints. ISBI 2010: 1385-1388 - [c95]Ting Chen, Anand Rangarajan, Stephan J. Eisenschenk, Baba C. Vemuri:
Construction of Neuroanatomical Shape Complex Atlas from 3D Brain MRI. MICCAI (3) 2010: 65-72 - [c94]Yuchen Xie, Baba C. Vemuri, Jeffrey Ho:
Statistical Analysis of Tensor Fields. MICCAI (1) 2010: 682-689
2000 – 2009
- 2009
- [j48]Angelos Barmpoutis, Min-Sig Hwang, Dena Howland, John R. Forder, Baba C. Vemuri:
Regularized positive-definite fourth order tensor field estimation from DW-MRI. NeuroImage 45(1): S153-S162 (2009) - [c93]Ritwik Kumar, Arunava Banerjee, Baba C. Vemuri:
Volterrafaces: Discriminant analysis using Volterra kernels. CVPR 2009: 150-155 - [c92]Dohyung Seo, Baba C. Vemuri:
Complex Diffusion on Scalar and Vector Valued Image Graphs. EMMCVPR 2009: 98-111 - [c91]Özlem N. Subakan, Baba C. Vemuri:
Color Image Segmentation in a Quaternion Framework. EMMCVPR 2009: 401-414 - [c90]Özlem N. Subakan, Baba C. Vemuri:
Quaternion-Based Color Image Smoothing Using a Spatially Varying Kernel. EMMCVPR 2009: 415-428 - [c89]Dohyung Seo, Baba C. Vemuri:
Complex diffusion on image graphs. ICIP 2009: 2969-2972 - [c88]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: 139-150 - [c87]Fei Wang, Baba C. Vemuri, Tanveer Fathima Syeda-Mahmood:
Generalized L2-Divergence and Its Application to Shape Alignment. IPMI 2009: 227-238 - [c86]Angelos Barmpoutis, Bing Jian, Baba C. Vemuri:
Adaptive Kernels for Multi-fiber Reconstruction. IPMI 2009: 338-349 - [c85]Ritwik Kumar, Angelos Barmpoutis, Baba C. Vemuri, Paul R. Carney, Thomas H. Mareci:
A Physical Basis for Multi-Fiber Reconstruction from DW-MRI Data. ISBI 2009: 626-629 - [c84]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: 190-197 - [c83]Angelos Barmpoutis, Baba C. Vemuri:
Groupwise Registration and Atlas Construction of 4th-Order Tensor Fields Using the R + Riemannian Metric. MICCAI (1) 2009: 640-647 - [c82]Fei Wang, Tanveer Fathima Syeda-Mahmood, Baba C. Vemuri, David Beymer, Anand Rangarajan:
Closed-Form Jensen-Renyi Divergence for Mixture of Gaussians and Applications to Group-Wise Shape Registration. MICCAI (1) 2009: 648-655 - 2008
- [j47]Bing Jian, Baba C. Vemuri, Evren Özarslan, Paul R. Carney, Thomas H. Mareci:
Erratum to "A novel tensor distribution model for the diffusion-weighted MR signal" [NeuroImage 37 (2007) 164-176]. NeuroImage 42(2): 1045-1046 (2008) - [j46]Fei Wang, Baba C. Vemuri, Anand Rangarajan, Stephan J. Eisenschenk:
Simultaneous Nonrigid Registration of Multiple Point Sets and Atlas Construction. IEEE Trans. Pattern Anal. Mach. Intell. 30(11): 2011-2022 (2008) - [c81]Angelos Barmpoutis, Ritwik Kumar, Baba C. Vemuri, Arunava Banerjee:
Beyond the Lambertian assumption: A generative model for Apparent BRDF fields of faces using anti-symmetric tensor splines. CVPR 2008 - [c80]Micha Feigin, Nir A. Sochen, Baba C. Vemuri:
Efficient anisotropic α-Kernels decompositions and flows. CVPR Workshops 2008: 1-8 - [c79]Santhosh Kodipaka,