Search Results - "Turaga, Pavan"

Polynomial Implicit Neural Framework for Promoting Shape Awareness in Generative Models.

Authors: Nath, Utkarsh Singh, Rajhans Shukla, Ankita et al.

Source: International Journal of Computer Vision; May2025, Vol. 133 Issue 5, p2967-2995, 29p

RNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge Distillation.

Authors: Nath, Utkarsh Wang, Yancheng Turaga, Pavan et al.

Source: International Journal of Computer Vision; Dec2024, Vol. 132 Issue 12, p5698-5717, 20p

Machine-Learning-based Algorithms for Automated Image Segmentation Techniques of Transmission X-ray Microscopy (TXM).

Authors: Torbati-Sarraf, Hamidreza Niverty, Sridhar Singh, Rajhans et al.

Source: JOM: The Journal of The Minerals, Metals & Materials Society (TMS); Jul2021, Vol. 73 Issue 7, p2173-2184, 12p

Robustness of topological persistence in knowledge distillation for wearable sensor data.

Authors: Jeon, Eun Som Choi, Hongjun Shukla, Ankita et al.

Source: EPJ Data Science; 12/20/2024, Vol. 13 Issue 1, p1-23, 23p

Image Representation-Driven Knowledge Distillation for Improved Time-Series Interpretation on Wearable Sensor Data.

Authors: Jeong, Jae Chan Buman, Matthew P. Turaga, Pavan et al.

Source: Sensors (14248220). Oct2025, Vol. 25 Issue 20, p6396. 24p.

Topological feature guided knowledge distillation for improved wearable sensor data analysis.

Authors: Kim, Jun Soo Jeong, Jae Chan Buman, Matthew P. et al.

Source: Neurocomputing; Jun2026, Vol. 680, pN.PAG-N.PAG, 1p

Statistical Computations on Grassmann and Stiefel Manifolds for Image and Video-Based Recognition.

Authors: Turaga, Pavan Veeraraghavan, Ashok Srivastava, Anuj

Source: IEEE Transactions on Pattern Analysis & Machine Intelligence; November 2011, Vol. 33 Issue 11, p2273-2286, 14p

Example-Driven Manifold Priors for Image Deconvolution.

Authors: Ni, Jie Turaga, Pavan Patel, Vishal M.

Source: IEEE Transactions on Image Processing; November 2011, Vol. 20 Issue 11, p3086-3096, 11p

Machine Recognition of Human Activities: A Survey.

Authors: Turaga, Pavan Chellappa, Rama Subrahmanian, V. S.

Source: IEEE Transactions on Circuits & Systems for Video Technology; November 2008, Vol. 18 Issue 11, p1473-1488, 16p

Leveraging angular distributions for improved knowledge distillation.

Authors: Jeon, Eun Som Choi, Hongjun Shukla, Ankita et al.

Source: Neurocomputing; Jan2023, Vol. 518, p466-481, 16p

Geometry-Based Symbolic Approximation for Fast Sequence Matching on Manifolds.

Authors: Anirudh, Rushil Turaga, Pavan

Source: International Journal of Computer Vision; Jan2016, Vol. 116 Issue 2, p161-173, 13p

Intra-class patch swap for self-distillation.

Authors: Choi, Hongjun Jeon, Eun Som Shukla, Ankita et al.

Source: Neurocomputing; Sep2025, Vol. 645, pN.PAG-N.PAG, 1p

Interdisciplinary Concepts for Design and Implementation of Mixed Reality Interactive Neurorehabilitation Systems for Stroke.

Authors: Baran, Michael Lehrer, Nicole Duff, Margaret et al.

Source: Physical Therapy. Mar2015, Vol. 95 Issue 3, p449-460.

A Framework for Interpretable Full-Body Kinematic Description Using Geometric and Functional Analysis.

Authors: Amor, Boulbaba Ben Srivastava, Anuj Turaga, Pavan et al.

Source: IEEE Transactions on Biomedical Engineering; Jun2020, Vol. 67 Issue 6, p1761-1774, 14p

Elastic Functional Coding of Riemannian Trajectories.

Authors: Anirudh, Rushil Turaga, Pavan Su, Jingyong et al.

Source: IEEE Transactions on Pattern Analysis & Machine Intelligence. May2017, Vol. 39 Issue 5, p922-936. 15p.

Subjects: Riemannian manifolds, Elasticity, Space trajectories, Nonlinear functional analysis, Human behavior, Mathematical models of human behavior, Euclidean domains

Shape Distributions of Nonlinear Dynamical Systems for Video-Based Inference.

Authors: Venkataraman, Vinay Turaga, Pavan

Source: IEEE Transactions on Pattern Analysis & Machine Intelligence. Dec2016, Vol. 38 Issue 12, p2531-2543. 13p.

Subjects: Nonlinear dynamical systems, Geometric shapes, Distribution (Probability theory), Video recording, Pattern recognition systems

Component-Level Tuning of Kinematic Features From Composite Therapist Impressions of Movement Quality.

Authors: Venkataraman, Vinay Turaga, Pavan Baran, Michael et al.

Source: IEEE Journal of Biomedical & Health Informatics. Jan2016, Vol. 20 Issue 1, p143-152. 10p.

Subjects: Stroke rehabilitation, Human kinematics, Human mechanics research, Motion capture (Human mechanics), Physical therapy research

Reconstruction-Free Action Inference from Compressive Imagers.

Authors: Kulkarni, Kuldeep Turaga, Pavan

Source: IEEE Transactions on Pattern Analysis & Machine Intelligence. Apr2016, Vol. 38 Issue 4, p772-784. 13p.

Subjects: Image reconstruction, Image compression, Compressed sensing, Image processing, Signal sampling, Inferential statistics

Topological persistence guided knowledge distillation for wearable sensor data.

Authors: Jeon, Eun Som Choi, Hongjun Shukla, Ankita et al.

Source: Engineering Applications of Artificial Intelligence; Apr2024, Vol. 130, pN.PAG-N.PAG, 1p

Differential geometric representations and algorithms for some pattern recognition and computer vision problems.

Authors: Li, Ruonan Turaga, Pavan Srivastava, Anuj et al.

Source: Pattern Recognition Letters. Jul2014, Vol. 43, p3-16. 14p.

Subjects: Geometric analysis, Differential geometry, Algorithms, Pattern perception, Computer vision, Shape analysis (Computational geometry)