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Anuj Srivastava
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2020 – today
- 2024
- [j86]Guan Wang, Hamid Laga, Anuj Srivastava:
Elastic Shape Analysis of Tree-Like 3D Objects Using Extended SRVF Representation. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2475-2488 (2024) - [j85]Michael Wilson, Tom Needham, Chiwoo Park, Suparteek Kundu, Anuj Srivastava:
A Wasserstein-Type Distance for Gaussian Mixtures on Vector Bundles with Applications to Shape Analysis. SIAM J. Imaging Sci. 17(3): 1433-1466 (2024) - [c115]Shenyuan Liang, Anuj Srivastava, Maurício Pamplona Segundo, Sudeep Sarkar, Sathyanarayanan N. Aakur:
Shape-Graph Matching Network (SGM-net): Registration for Statistical Shape Analysis. ISBI 2024: 1-4 - [c114]Nishant Kumar, Hari Shanker Gupta, Anuj Srivastava, Nihar Ranjan Mohapatra:
A Programmable and Adaptive Dead-Time Controller for Low-Offset Output Generation for Cryo-Cooler Drive Applications. ISCAS 2024: 1-5 - [i21]Tahmina Khanam, Hamid Laga, Mohammed Bennamoun, Guanjin Wang, Ferdous Sohel, Farid Boussaïd, Guan Wang, Anuj Srivastava:
A Riemannian Approach for Spatiotemporal Analysis and Generation of 4D Tree-shaped Structures. CoRR abs/2408.12443 (2024) - 2023
- [j84]Hamid Laga, Marcel Padilla, Ian H. Jermyn, Sebastian Kurtek, Mohammed Bennamoun, Anuj Srivastava:
4D Atlas: Statistical Analysis of the Spatiotemporal Variability in Longitudinal 3D Shape Data. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1335-1352 (2023) - [c113]Aishwarya Agarwal, Anuj Srivastava, Inderjeet Nair, Swasti Shreya Mishra, Vineeth Dorna, Sharmila Reddy Nangi, Balaji Vasan Srinivasan:
SketchBuddy: Context-Aware Sketch Enrichment and Enhancement. MMSys 2023: 217-228 - [i20]Shenyuan Liang, Pavan K. Turaga, Anuj Srivastava:
Learning Pose Image Manifolds Using Geometry-Preserving GANs and Elasticae. CoRR abs/2305.10513 (2023) - [i19]Shenyuan Liang, Maurício Pamplona Segundo, Sathyanarayanan N. Aakur, Sudeep Sarkar, Anuj Srivastava:
Shape-Graph Matching Network (SGM-net): Registration for Statistical Shape Analysis. CoRR abs/2308.06869 (2023) - [i18]Anuj Srivastava, Karm Patel, Pradeep Shenoy, Devarajan Sridharan:
Rescuing referral failures during automated diagnosis of domain-shifted medical images. CoRR abs/2311.16766 (2023) - 2022
- [j83]Chiwoo Park, Sang Do Noh, Anuj Srivastava:
Data Science for Motion and Time Analysis with Modern Motion Sensor Data. Oper. Res. 70(6): 3217-3233 (2022) - [j82]Darshan W. Bryner, Anuj Srivastava:
Shape Analysis of Functional Data With Elastic Partial Matching. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9589-9602 (2022) - [c112]Carlos Soto, Darshan W. Bryner, Audrey Dalgarno, Nicola Neretti, Anuj Srivastava:
TADBay: A Bayesian Construction of Topologically Associated Domains. BIBM 2022: 233-240 - [c111]Aditi Basu Bal, Ramy Mounir, Sathyanarayanan N. Aakur, Sudeep Sarkar, Anuj Srivastava:
Bayesian Tracking of Video Graphs Using Joint Kalman Smoothing and Registration. ECCV (35) 2022: 440-456 - [c110]Ximu Deng, Anuj Srivastava, Rituparna Sarkar, Elisabeth Labruyère, Jean-Christophe Olivo-Marin:
Characterizing Cell Shape Distributions Using k-Mode Kernel Mixtures. ICPR 2022: 2517-2523 - [c109]Ximu Deng, Rituparna Sarkar, Elisabeth Labruyere, Jean-Christophe Olivo-Marin, Anuj Srivastava:
Characterizing Cell Populations Using Statistical Shape Modes. ISBI 2022: 1-5 - [c108]Tanjin Taher Toma, Yuexuan Wu, Jie Wang, Anuj Srivastava, Andreas Gahlmann, Scott T. Acton:
Realistic-Shape Bacterial Biofilm Simulator for Deep Learning-Based 3D Single-Cell Segmentation. ISBI 2022: 1-5 - [c107]Anuj Srivastava, Nishant Kumar, Nihar Ranjan Mohapatra, Hari Shankar Gupta:
High Resolution Temperature Sensor Signal Processing ASIC for Cryo-Cooler Electronics. VDAT 2022: 150-157 - [i17]Xiaoyang Guo, Wei Wu, Anuj Srivastava:
Data-Driven, Soft Alignment of Functional Data Using Shapes and Landmarks. CoRR abs/2203.14810 (2022) - 2021
- [j81]Anuj Srivastava:
Random-Walk, Agent-Level Pandemic Simulation (RAW-ALPS) for Analyzing Effects of Different Lockdown Measures. Frontiers Appl. Math. Stat. 7: 638996 (2021) - [j80]Glenna Schluck, Wei Wu, Anuj Srivastava:
Intensity Estimation for Poisson Process With Compositional Noise. Frontiers Appl. Math. Stat. 7: 648984 (2021) - [j79]Carlos Soto, Darshan W. Bryner, Nicola Neretti, Anuj Srivastava:
Toward a Three-Dimensional Chromosome Shape Alphabet. J. Comput. Biol. 28(6): 601-618 (2021) - [j78]Xiaoyang Guo, Anuj Srivastava, Sudeep Sarkar:
A Quotient Space Formulation for Generative Statistical Analysis of Graphical Data. J. Math. Imaging Vis. 63(6): 735-752 (2021) - [j77]Ruiyi Zhang, Anuj Srivastava:
Elastic Shape Analysis of Planar Objects Using Tensor Field Representations. J. Math. Imaging Vis. 63(9): 1204-1221 (2021) - [j76]Sutanoy Dasgupta, Debdeep Pati, Ian H. Jermyn, Anuj Srivastava:
Modality-Constrained Density Estimation via Deformable Templates. Technometrics 63(4): 536-547 (2021) - [c106]Carlos Soto, Audrey Dalgarno, Darshan W. Bryner, Benjamin McLaughlin, Nicola Neretti, Anuj Srivastava:
Representation of Chromosome Conformations Using a Shape Alphabet Across Modeling Methods. BIBM 2021: 151-156 - [c105]Chao Chen, Anuj Srivastava:
SrvfRegNet: Elastic Function Registration Using Deep Neural Networks. CVPR Workshops 2021: 4462-4471 - [c104]Chao Huang, Anuj Srivastava, Rongjie Liu:
Geo-FARM: Geodesic Factor Regression Model for Misaligned Pre-Shape Responses in Statistical Shape Analysis. CVPR 2021: 11496-11505 - [c103]Carlos J. Soto, Peiyao A. Zhao, Kyle N. Klein, David M. Gilbert, Anuj Srivastava:
Statistical Comparisons Of Chromosomal Shape Populations. ISBI 2021: 788-791 - [i16]Hamid Laga, Marcel Padilla, Ian H. Jermyn, Sebastian Kurtek, Mohammed Bennamoun, Anuj Srivastava:
4D Atlas: Statistical Analysis of the Spatiotemporal Variability in Longitudinal 3D Shape Data. CoRR abs/2101.09403 (2021) - [i15]Darshan W. Bryner, Anuj Srivastava:
Shape Analysis of Functional Data with Elastic Partial Matching. CoRR abs/2105.08604 (2021) - [i14]Yuexuan Wu, Suprateek Kundu, Jennifer S. Stevens, Negar Fani, Anuj Srivastava:
Elastic Shape Analysis of Brain Structures for Predictive Modeling of PTSD. CoRR abs/2105.11547 (2021) - [i13]Mengyu Dai, Haibin Hang, Anuj Srivastava:
AWGAN: Empowering High-Dimensional Discriminator Output for Generative Adversarial Networks. CoRR abs/2109.03378 (2021) - [i12]Guan Wang, Hamid Laga, Anuj Srivastava:
On the Statistical Analysis of Complex Tree-shaped 3D Objects. CoRR abs/2110.08693 (2021) - 2020
- [j75]Kyungmin Ahn, J. Derek Tucker, Wei Wu, Anuj Srivastava:
Regression models using shapes of functions as predictors. Comput. Stat. Data Anal. 151: 107017 (2020) - [j74]Boulbaba Ben Amor, Anuj Srivastava, Pavan K. Turaga, Grisha Coleman:
A Framework for Interpretable Full-Body Kinematic Description Using Geometric and Functional Analysis. IEEE Trans. Biomed. Eng. 67(6): 1761-1774 (2020) - [j73]Mengyu Dai, Zhengwu Zhang, Anuj Srivastava:
Analyzing Dynamical Brain Functional Connectivity as Trajectories on Space of Covariance Matrices. IEEE Trans. Medical Imaging 39(3): 611-620 (2020) - [c102]Xiaoyang Guo, Anuj Srivastava:
Representations, Metrics and Statistics for Shape Analysis of Elastic Graphs. CVPR Workshops 2020: 3629-3638 - [c101]Ximu Deng, Rituparna Sarkar, Elisabeth Labruyere, Jean-Christophe Olivo-Marin, Anuj Srivastava:
Modeling Shape Dynamics During Cell Motility in Microscopy Videos. ICIP 2020: 2491-2495 - [c100]Anuj Srivastava, Xiaoyang Guo, Hamid Laga:
Advances in Geometrical Analysis of Topologically-Varying Shapes. ISBI Workshops 2020: 1-4 - [c99]Rajbala, Anuj Srivastava:
Effect of Finite Ground Plane on Performance of Compact Air-Suspended Rectangular Microstrip Antenna for 5G Applications. TENCON 2020: 901-904 - [i11]Xiaoyang Guo, Anuj Srivastava:
Representations, Metrics and Statistics For Shape Analysis of Elastic Graphs. CoRR abs/2003.00287 (2020) - [i10]Xiaoyang Guo, Aditi Basu Bal, Tom Needham, Anuj Srivastava:
Statistical shape analysis of brain arterial networks (BAN). CoRR abs/2007.04793 (2020) - [i9]Chiwoo Park, Sang Do Noh, Anuj Srivastava:
Data Science for Motion and Time Analysis with Modern Motion Sensor Data. CoRR abs/2008.10786 (2020)
2010 – 2019
- 2019
- [j72]Jose Cordova, Carlos Soto, Mostafa Gilanifar, Yuxun Zhou, Anuj Srivastava, Reza Arghandeh:
Shape Preserving Incremental Learning for Power Systems Fault Detection. IEEE Control. Syst. Lett. 3(1): 85-90 (2019) - [j71]Michael Rosenthal, Darshan W. Bryner, Fred W. Huffer, Shane Evans, Anuj Srivastava, Nicola Neretti:
Bayesian Estimation of Three-Dimensional Chromosomal Structure from Single-Cell Hi-C Data. J. Comput. Biol. 26(11): 1191-1202 (2019) - [j70]Mengyu Dai, Zhengwu Zhang, Anuj Srivastava:
Discovering common change-point patterns in functional connectivity across subjects. Medical Image Anal. 58 (2019) - [j69]J. Derek Tucker, John R. Lewis, Anuj Srivastava:
Elastic functional principal component regression. Stat. Anal. Data Min. 12(2): 101-115 (2019) - [c98]Mengyu Dai, Anuj Srivastava:
Video-Based Action Recognition Using Dimension Reduction of Deep Covariance Trajectories. CVPR Workshops 2019: 611-620 - [r3]Anil K. Kesarwani, Ankit Malhotra, Anuj Srivastava, Guruprasad Ananda, Haitham Ashoor, Parveen Kumar, Rupesh K. Kesharwani, Vishal Kumar Sarsani, Yi Li, Joshy George, Krishna M. Karuturi:
Genome Informatics. Encyclopedia of Bioinformatics and Computational Biology (2) 2019: 178-194 - [r2]Anuj Srivastava, Joshy George, R. Krishna Murthy Karuturi:
Transcriptome Analysis. Encyclopedia of Bioinformatics and Computational Biology (3) 2019: 792-805 - [i8]Mengyu Dai, Zhengwu Zhang, Anuj Srivastava:
Analyzing Dynamical Brain Functional Connectivity As Trajectories on Space of Covariance Matrices. CoRR abs/1904.05449 (2019) - [i7]Mengyu Dai, Zhengwu Zhang, Anuj Srivastava:
Discovering Common Change-Point Patterns in Functional Connectivity Across Subjects. CoRR abs/1904.12023 (2019) - [i6]Guan Wang, Hamid Laga, Jinyuan Jia, Stanley J. Miklavcic, Anuj Srivastava:
Statistical Analysis and Modeling of the Geometry and Topology of Plant Roots. CoRR abs/1905.06812 (2019) - [i5]Xiaoyang Guo, Anuj Srivastava, Sudeep Sarkar:
A Quotient Space Formulation for Statistical Analysis of Graphical Data. CoRR abs/1909.12907 (2019) - 2018
- [j68]Zhengwu Zhang, Jingyong Su, Eric Klassen, Huiling Le, Anuj Srivastava:
Rate-Invariant Analysis of Covariance Trajectories. J. Math. Imaging Vis. 60(8): 1306-1323 (2018) - [j67]Zhengwu Zhang, Maxime Descoteaux, Jingwen Zhang, Gabriel Girard, Maxime Chamberland, David B. Dunson, Anuj Srivastava, Hongtu Zhu:
Mapping population-based structural connectomes. NeuroImage 172: 130-145 (2018) - [c97]Kyungmin Ahn, J. Derek Tucker, Wei Wu, Anuj Srivastava:
Elastic Handling of Predictor Phase in Functional Regression Models. CVPR Workshops 2018: 324-331 - [c96]Hongjun Choi, Qiao Wang, Meynard John Toledo, Pavan K. Turaga, Matthew P. Buman, Anuj Srivastava:
Temporal Alignment Improves Feature Quality: An Experiment on Activity Recognition With Accelerometer Data. CVPR Workshops 2018: 349-357 - [c95]Sutanoy Dasgupta, Debdeep Pati, Ian H. Jermyn, Anuj Srivastava:
Shape-Constrained and Unconstrained Density Estimation Using Geometric Exploration. SSP 2018: 358-362 - 2017
- [b1]Ian H. Jermyn, Sebastian Kurtek, Hamid Laga, Anuj Srivastava:
Elastic Shape Analysis of Three-Dimensional Objects. Synthesis Lectures on Computer Vision, Morgan & Claypool Publishers 2017, ISBN 978-3-031-00691-3 - [j66]Fillipe D. M. de Souza, Sudeep Sarkar, Anuj Srivastava, Jingyong Su:
Spatially Coherent Interpretations of Videos Using Pattern Theory. Int. J. Comput. Vis. 121(1): 5-25 (2017) - [j65]Rushil Anirudh, Pavan K. Turaga, Jingyong Su, Anuj Srivastava:
Elastic Functional Coding of Riemannian Trajectories. IEEE Trans. Pattern Anal. Mach. Intell. 39(5): 922-936 (2017) - [j64]Hamid Laga, Qian Xie, Ian H. Jermyn, Anuj Srivastava:
Numerical Inversion of SRNF Maps for Elastic Shape Analysis of Genus-Zero Surfaces. IEEE Trans. Pattern Anal. Mach. Intell. 39(12): 2451-2464 (2017) - [c94]Hamid Laga, Ian H. Jermyn, Sebastian Kurtek, Anuj Srivastava:
Elastic 3D shape analysis using square-root normal field representation. CDC 2017: 2711-2717 - [c93]Mengyu Dai, Zhengwu Zhang, Anuj Srivastava:
Discovering Change-Point Patterns in Dynamic Functional Brain Connectivity of a Population. IPMI 2017: 361-372 - [c92]Daniel Robinson, Adam Duncan, Anuj Srivastava, Eric Klassen:
Exact Function Alignment Under Elastic Riemannian Metric. GRAIL/MFCA/MICGen@MICCAI 2017: 137-151 - [p6]Rushil Anirudh, Pavan K. Turaga, Anuj Srivastava:
Optimization Problems Associated with Manifold-Valued Curves with Applications in Computer Vision. Handbook of Convex Optimization Methods in Imaging Science 2017: 207-228 - 2016
- [j63]Darshan W. Bryner, Fred W. Huffer, Michael Rosenthal, J. Derek Tucker, Anuj Srivastava:
Estimation of linear target-layer trajectories using cluttered point cloud data. Comput. Stat. Data Anal. 102: 1-22 (2016) - [j62]Wen Huang, Kyle A. Gallivan, Anuj Srivastava, Pierre-Antoine Absil:
Riemannian Optimization for Registration of Curves in Elastic Shape Analysis. J. Math. Imaging Vis. 54(3): 320-343 (2016) - [j61]Boulbaba Ben Amor, Jingyong Su, Anuj Srivastava:
Action Recognition Using Rate-Invariant Analysis of Skeletal Shape Trajectories. IEEE Trans. Pattern Anal. Mach. Intell. 38(1): 1-13 (2016) - [j60]Alice Barbara Tumpach, Hassen Drira, Mohamed Daoudi, Anuj Srivastava:
Gauge Invariant Framework for Shape Analysis of Surfaces. IEEE Trans. Pattern Anal. Mach. Intell. 38(1): 46-59 (2016) - [j59]Fillipe D. M. de Souza, Sudeep Sarkar, Anuj Srivastava, Jingyong Su:
Pattern theory for representation and inference of semantic structures in videos. Pattern Recognit. Lett. 72: 41-51 (2016) - [c91]Mengyu Dai, Zhengwu Zhang, Anuj Srivastava:
Testing Stationarity of Brain Functional Connectivity Using Change-Point Detection in fMRI Data. CVPR Workshops 2016: 981-989 - [c90]Shantanu H. Joshi, Qian Xie, Sebastian Kurtek, Anuj Srivastava, Hamid Laga:
Surface Shape Morphometry for Hippocampal Modeling in Alzheimer's Disease. DICTA 2016: 1-8 - [c89]Wade Henning, Anuj Srivastava:
A two-sample test for statistical comparisons of shape populations. WACV 2016: 1-9 - [c88]Chafik Samir, Sebastian Kurtek, Anuj Srivastava, Noe Borges:
An elastic functional data analysis framework for preoperative evaluation of patients with Rheumatoid Arthritis. WACV 2016: 1-8 - [i4]Rushil Anirudh, Pavan K. Turaga, Jingyong Su, Anuj Srivastava:
Elastic Functional Coding of Riemannian Trajectories. CoRR abs/1603.02200 (2016) - [i3]Hamid Laga, Qian Xie, Ian H. Jermyn, Anuj Srivastava:
Numerical Inversion of SRNF Maps for Elastic Shape Analysis of Genus-Zero Surfaces. CoRR abs/1610.04531 (2016) - 2015
- [j58]Rim Slama, Hazem Wannous, Mohamed Daoudi, Anuj Srivastava:
Accurate 3D action recognition using learning on the Grassmann manifold. Pattern Recognit. 48(2): 556-567 (2015) - [j57]Abdalbassir Abou-Elailah, Frédéric Dufaux, Joumana Farah, Marco Cagnazzo, Anuj Srivastava, Béatrice Pesquet-Popescu:
Fusion of Global and Local Motion Estimation Using Foreground Objects for Distributed Video Coding. IEEE Trans. Circuits Syst. Video Technol. 25(6): 973-987 (2015) - [c87]Fillipe D. M. de Souza, Sudeep Sarkar, Anuj Srivastava, Jingyong Su:
Temporally coherent interpretations for long videos using pattern theory. CVPR 2015: 1229-1237 - [c86]Rushil Anirudh, Pavan K. Turaga, Jingyong Su, Anuj Srivastava:
Elastic functional coding of human actions: From vector-fields to latent variables. CVPR 2015: 3147-3155 - [c85]Imon Banerjee, Hamid Laga, Giuseppe Patanè, Sebastian Kurtek, Anuj Srivastava, Michela Spagnuolo:
Generation of 3D Canonical Anatomical Models: An Experience on Carpal Bones. ICIAP Workshops 2015: 167-174 - [i2]Zhengwu Zhang, Jingyong Su, Eric Klassen, Huiling Le, Anuj Srivastava:
Video-Based Action Recognition Using Rate-Invariant Analysis of Covariance Trajectories. CoRR abs/1503.06699 (2015) - [i1]Zhengwu Zhang, Debdeep Pati, Anuj Srivastava:
Bayesian Clustering of Shapes of Curves. CoRR abs/1504.00377 (2015) - 2014
- [j56]Gewen He, Albert Steppi, Jose Laborde, Anuj Srivastava, Peixiang Zhao, Jinfeng Zhang:
RASS: a web server for RNA alignment in the joint sequence-structure space. Nucleic Acids Res. 42(Webserver-Issue): 377-381 (2014) - [j55]Darshan W. Bryner, Eric Klassen, Huiling Le, Anuj Srivastava:
2D Affine and Projective Shape Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 36(5): 998-1011 (2014) - [j54]Ruonan Li, Pavan K. Turaga, Anuj Srivastava, Rama Chellappa:
Differential geometric representations and algorithms for some pattern recognition and computer vision problems. Pattern Recognit. Lett. 43: 3-16 (2014) - [j53]Boulbaba Ben Amor, Hassen Drira, Stefano Berretti, Mohamed Daoudi, Anuj Srivastava:
4-D Facial Expression Recognition by Learning Geometric Deformations. IEEE Trans. Cybern. 44(12): 2443-2457 (2014) - [j52]Chafik Samir, Sebastian Kurtek, Anuj Srivastava, Michel Canis:
Elastic Shape Analysis of Cylindrical Surfaces for 3D/2D Registration in Endometrial Tissue Characterization. IEEE Trans. Medical Imaging 33(5): 1035-1043 (2014) - [c84]Darshan W. Bryner, Anuj Srivastava:
Bayesian Active Contours with Affine-Invariant, Elastic Shape Prior. CVPR 2014: 312-319 - [c83]Jingyong Su, Anuj Srivastava, Fillipe D. M. de Souza, Sudeep Sarkar:
Rate-Invariant Analysis of Trajectories on Riemannian Manifolds with Application in Visual Speech Recognition. CVPR 2014: 620-627 - [c82]Qian Xie, Sebastian Kurtek, Eric Klassen, Gary E. Christensen, Anuj Srivastava:
Metric-Based Pairwise and Multiple Image Registration. ECCV (2) 2014: 236-250 - [c81]Qian Xie, Ian H. Jermyn, Sebastian Kurtek, Anuj Srivastava:
Numerical Inversion of SRNFs for Efficient Elastic Shape Analysis of Star-Shaped Objects. ECCV (5) 2014: 485-499 - [c80]Fillipe D. M. de Souza, Sudeep Sarkar, Anuj Srivastava, Jingyong Su:
Pattern Theory-Based Interpretation of Activities. ICPR 2014: 106-111 - [c79]Sebastian Kurtek, Anuj Srivastava:
Handwritten Text Segmentation Using Elastic Shape Analysis. ICPR 2014: 2501-2506 - [r1]Anuj Srivastava, Sebastian Kurtek, Eric Klassen:
Statistical Shape Analysis. Computer Vision, A Reference Guide 2014: 760-770 - 2013
- [j51]Sebastian Kurtek, Anuj Srivastava, Eric Klassen, Hamid Laga:
Landmark-Guided Elastic Shape Analysis of Spherically-Parameterized Surfaces. Comput. Graph. Forum 32(2): 429-438 (2013) - [j50]Jingyong Su, Anuj Srivastava, Fred W. Huffer:
Detection, classification and estimation of individual shapes in 2D and 3D point clouds. Comput. Stat. Data Anal. 58: 227-241 (2013) - [j49]J. Derek Tucker, Wei Wu, Anuj Srivastava:
Generative models for functional data using phase and amplitude separation. Comput. Stat. Data Anal. 61: 50-66 (2013) - [j48]Sebastian Kurtek, Jingyong Su, Cindy Grimm, Michelle Vaughan, Ross T. Sowell, Anuj Srivastava:
Statistical analysis of manual segmentations of structures in medical images. Comput. Vis. Image Underst. 117(9): 1036-1050 (2013) - [j47]Darshan W. Bryner, Anuj Srivastava, Quyen Huynh:
Elastic shapes models for improving segmentation of object boundaries in synthetic aperture sonar images. Comput. Vis. Image Underst. 117(12): 1695-1710 (2013) - [j46]Wei Wu, Anuj Srivastava:
Estimating summary statistics in the spike-train space. J. Comput. Neurosci. 34(3): 391-410 (2013) - [j45]Hassen Drira, Boulbaba Ben Amor, Anuj Srivastava, Mohamed Daoudi, Rim Slama:
3D Face Recognition under Expressions, Occlusions, and Pose Variations. IEEE Trans. Pattern Anal. Mach. Intell. 35(9): 2270-2283 (2013) - [j44]Zhengwu Zhang, Eric Klassen, Anuj Srivastava:
Gaussian Blurring-Invariant Comparison of Signals and Images. IEEE Trans. Image Process. 22(8): 3145-3157 (2013) - [c78]Wei Wu, Anuj Srivastava, Jose Laborde, Jinfeng Zhang:
An efficient multiple protein structure comparison method and its application to structure clustering and outlier detection. BIBM 2013: 69-73 - [c77]Darshan W. Bryner, Anuj Srivastava:
Shadow Segmentation in SAS and SAR Using Bayesian Elastic Contours. CVPR Workshops 2013: 375-380 - [c76]Qian Xie, Sebastian Kurtek, Huiling Le, Anuj Srivastava:
Parallel Transport of Deformations in Shape Space of Elastic Surfaces. ICCV 2013: 865-872 - [c75]Hamid Laga, Sebastian Kurtek, Anuj Srivastava, Stanley J. Miklavcic:
Statistical shape models of plant leaves. ICIP 2013: 3503-3507 - [c74]Anuj Srivastava, Xiaoyu Zhang, Sal LaMarca, Liming Cai, Russell L. Malmberg:
Patterns of Chromatin-Modifications Discriminate Different Genomic Features in Arabidopsis. ISBRA 2013: 52-63 - [c73]