Website of Anuj Srivastava

Recent Publications

Year 2022 Publications
  1. Xiaoyang Guo, Aditi Basu Bal, Tom Needham, and Anuj Srivastava, Statistical Shape Analysis of Brain Arterial Networks, Annals of Applied Statistics, 16(2): 1130 – 1150, June 2022. https://doi.org/10.1214/21-AOAS1536
  2. Chiwoo Park, Sang Do Noh, and Anuj Srivastava, Data Science for Motion and Time Analysis with Modern Motion Sensor Data, Operations Research, accepted for publication, October 2021.
  3. Darshan Bryner and Anuj Srivastava, Shape Analysis of Functional Data with Partial Elastic Matching, IEEE Transactions on Pattern Analysis and Machine Intelligence, accepted for publication, November 2021.
  4. Amna Tariq, and several authors including Anuj Srivastava, Gerardo Chowell, An Investigation of Spatial-Temporal Patterns and Predictions of the Coronavirus 2019 Pandemic in Colombia, 2020-2021, accepted for publication, PLOS Neglected Tropical Diseases, February 2022.
  5. Ruiyi Zhang, R. Todd Ogden, Martin Picard, and Anuj Srivastava, Nonparametric K-Sample Test on Shape Spaces with Applications to Mitochondrial Shape Analysis, Journal of Royal Statistical Society C, volume 71: pages 51:69, 2022. https://doi.org/10.1111/rssc.12521
  6. Hamid Laga, Marcel Padilla, Ian H. Jermyn, Sebastian Kurtek, Mohammed Bennamoun, and Anuj Srivastava, 4D Atlas: Statistical Shape Analysis of the Spatio-Temporal Variability of Dynamic Surfaces, IEEE Transactions on Pattern Analysis and Machine Intelligence, accepted, April 2022.
  7. Zhengwu Zhang, Yuexuan Wu, Xiong Di, Anuj Srivastava, and Hongtu Zhu, LESA: Longitudinal Data Elastic Shape Analysis of Brian Subcortical Structures, accepted for publication, Journal of American Statistical Association, June 2022.
  8. Ximu Deng, Rituparna Sarkar, Elizabeth Labruyere, Jean-Christophe Olive-Marin, and Anuj Srivastava, Characterizing Cell Populations Using Statistical Shape Modes, IEEE International Symposium on Biomedical Imaging (ISBI),  2022.
  9. Ximu Deng, Rituparna Sarkar, Elizabeth Labruyere, Jean-Christophe Olive-Marin, and Anuj Srivastava, Characterizing Cell Shape Populations Using k-Mode Kernel Mixtures, International Conference on Pattern Recognition (ICPR),  2022.
  10. Aditi Basu Bal, Ramy Mounir, Sathya Ankur Narsimhan, Sudeep Sarkar, and Anuj Srivastava, Time Series Analysis of Video Graphs Using Joint Kalman Smoothing and Registration, European Conference on Computer Vision (ECCV), Tel Aviv, 2022.
Year 2021 Publications
  1. S. Dasgupta, D. Pati, I. H. Jermyn, and A. Srivastava, Modality-Constrained Density Estimation via Deformable Templates, Technometrics, volume 63, issue 4, pages 536-547, February 2021. https://doi.org/10.1080/00401706.2020.1867647
  2. Carlos Soto, Darshan Bryner, Nicola Neretti, and Anuj Srivastava, Towards a 3D Chromosomal Shape Alphabet, Journal of Computational Biology, vol. 26, number 8, pages 601-618, June 2021.
  3. Anuj Srivastava, Random-Walk Agent-Level Pandemic Simulation (RAW-ALPS) for Analyzing Effects of Different Lockdown Measures, Frontiers in Applied Mathematics and Statistics, volume 7, 2021. DOI: 10.3389/fams.2021.638996.
  4. Glenna Schluck, Wei Wu, and Anuj Srivastava, Intensity Estimation for Poisson Process with Compositional Noise, Frontiers in Applied Mathematics and Statistics, volume 7, 2021. DOI: 10.3389/fams.2021.648984.
  5. Xiaoyang Guo, Anuj Srivastava, and Sudeep Sarkar, A Quotient Space Formulation for Statistical Analysis of Graphical Data, Journal of Mathematical Imaging and Vision, volume 63, pages 735-752, March 2021. https://doi.org/10.1007/s10851-021-01027-1.
  6. Ruiyi Zhang and Anuj Srivastava, Towards Elastic Shape Analysis of Planar Objects Using Tensor Field Representation, Journal of Mathematical Imaging and Vision, volume 63, pages 1204-1221, August 2021.
  7. Amna Tariq, and several authors including Anuj Srivastava, Gerardo Chowell, Transmission Dynamics and Forecasts of the COVID-19 Pandemic in Mexico, March-December 2020, PLOS ONE, July 2021. https://doi.org/10.1371/journal.pone.0254826
  8. Chao Huang, Anuj Srivastava, Rongjie Liu, Geo-FARM: Geodesic Factor Regression Models for Misaligned Pre-Shape Responses in Statistical Shape Analysis, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
  9. Chao Chen and Anuj Srivastava, SrvfRegNet: Elastic Function Registration using Deep Neural Networks, IEEE CVPR Workshop on Differential Geometric Methods in Computer Vision and Machine Learning (DIFF-CVML), 2021.
  10. Carlos Soto, Audrey Dalgarno, Darshan Bryner, Benjamin McLaughlin, Nicola Neretti, and Anuj Srivastava, Representation of Chromosome Confirmations Using a Shape Alphabet Across Modeling Methodst, IEEE Conference on Bioinformatics and Biomedicine (BIBM), 2021. DOI: 10.1109/BIBM52615.2021.9669716.
Year 2020 Publications
  1. Mengyu Dai, Zhengwu Zhang, and Anuj Srivastava, Analyzing Dynamical Brain Functional Connectivity as Trajectories on Space of Covariance Matrices, IEEE Transactions on Medical Image Analysis, volume 39, issue 3, pages 611-620, March 2020. https://doi.org/10.1109/TMI.2019.2931708
  2. S. Dasgupta, D. Pati, and A. Srivastava, A Two-Step Geometric Framework for Density Estimation, Statistica Sinica, volume 30, pages 2155-2177, 2020. https:// doi:10.5705/ss.202018.0231
  3. B. Ben Amor, A. Srivastava, P. Turaga, and G. Coleman, A Framework for Interpretable Full-Body Kinematic Description Using Geometric and Functional Analysis, IEEE Journal of Biomedical and Health   Informatics, volume 67, issue 6, pages 1761-1774, June 2020. https://DOI: 10.1109/TBME.2019.2946682
  4. G. Wang, H. Laga, J. Jia, S. Miklavcic, A. Srivastava, Statistical Analysis and Modeling of Geometry and Topology of Plant Roots, Journal of Theoretical Biology, volume 486, February 2020. https://doi.org/10.1016/j.jtbi.2019.110108
  5. K. Ahn, J. D. Tucker, W. Wu, and A. Srivastava, Regression Models using Shapes of Functions as       Predictors, Computational and Statistical Data Analysis, volume 151, November 2020. https://doi.org/10.1016/j.csda.2020.107017
  6. Ximu Deng, Rituparna Sarkar, Elizabeth Labruyere, Jean-Christophe Olive-Marin, and Anuj Srivastava, Modeling Shape Dynamic During Cell Motility in Microscopy Images, International Conference on Image Processing (ICIP), online, 2020.
  7. X. Guo and A. Srivastava, Representation, Metrics and Statistics for Shape Analysis of Elastic Graphs, 5th Workshop on Differential Geometric Methods in Computer Vision and Machine Learning (DIFF-CVML) , online, June 2020.
  8. A. Srivastava, X. Guo, and H. Laga, Advances in Geometrical Analysis of Topologically-Varying Shapes, In ISBI Workshop on Interaction of Geometry and Topology in Biomedical Imaging, online, 2020.
Year 2019 Publications
  1. M. Dai, Z. Zhang, and A. Srivastava, Discovering Common Change-Point Patterns in  Functional Connectivity Across Subjects, Medical Image Analysis, volume 58, December 2019.
  2. M. Rosenthal, D. Bryner, F. Huffer, S. Evans, A. Srivastava, and N. Neretti, Bayesian Estimation of 3D Chromosomal Structure from Single Cell Hi-C Data, Journal of Computational Biology, volume 26, issue 11, pages 1191-1202, November 2019.
  3. S. Dasgupta, D. Pati, and A. Srivastava, A Two-Step Geometric Framework for Density Estimation, accepted, Statistica Sinica, 2018.
  4. Z. Zhang, E. Klassen, and A. Srivastava, Robust Kernel Density Estimation and Two-Sample Hypothesis Test in Euclidean and Spherical Domains, volume 81, number 1, pages 144-171, Sankhya, February 2019.
  5. S. Dasgupta, D. Pati, and A. Srivastava, Bayesian Shape-Constrained Density Estimation, Quarterly of Applied Mathematics, volume LXVII, number 2, pages 399-422, June 2019.
  6. M. Dai and A. Srivastava, Efficient Video-Based Action Recognition Using Dimension Reduction of Covariance Trajectories, CVPR — 3rd International Workshop on Compact and Efficient Feature Representation and Learning (CEFRL) in Computer Vision, 2019.  
  7. S. Dasgupta, J. Cordova, R. Argandeh, and A. Srivastava, Clustering household electrical load profiles using elastic shape analysis, IEEE PowerTech, Milano, Italy, June 2019.
  8. S. Dasgupta, J. Cordova, R. Argandeh, and A. Srivastava, Clustering household electrical load profiles using elastic shape analysis, IEEE PowerTech, Miloano, Italy, June 2019.  
  9. M. Dai and A. Srivastava, Efficient Video-Based Action Recognition Using Dimension Reduction of Covariance Trajectories, CVPR — 3rd International Workshop on Compact and Efficient Feature Representation and Learning (CEFRL) in Computer Vision, 2019.  
Year 2018 Publications
  1. A. Duncan, E. Klassen, and A. Srivastava, Statistical Shape Analysis of Simplified Neuronal Trees, Annals of Applied Statistics, volume 12, number 3, pages 1385-1421, 2018.
  2. Z. Zhang. J. Su, E. Klassen, H. Le, and A. Srivastava, Rate-Invariant Analysis of Covariance Trajectories, Journal of Mathematical Imaging and Vision, volume 60, issue 8, pages 1306-1323, October 2018.
  3. J. Cordova, C. Soto, M. Gilanifar, Y. Zhou, A. Srivastava, and R. Arghandeh, Shape-Preserving Incremental Learning for Power Systems Fault Detection, IEEE Control Letters, volume 3, issue 1, pages 85-90, July 2018.
  4. Z. Zhang, E. Klassen and A. Srivastava, Phase-Amplitude Separation and Modeling of Spherical Trajectories, Journal of Computational and Graphical Statistics, volume 27, issue 1, pages 85-97, January 2018.
  5. Z. Zhang, M. Descoteaux, J. Zhang, G. Girard, M. Chamberland. D. Dunson, A. Srivastava, H. Zhu, Mapping Population-Based Structural Connectomes, Neuroimage, volume 172, pages 130-145, May 2018.
  6. S. Dasgupta, D. Pati, and A. Srivastava, Shape-Constrained and Unconstrained Density Estimation Using Geometric Exploration, IEEE Conference on Statistical Signal Processing, Freiburg, Germany, June 2018.
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