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

On the design and evaluation of generative models in high energy density physics.

Authors: Shukla, Ankita Mubarka, Yamen Anirudh, Rushil et al.

Source: Communications Physics. 1/8/2025, Vol. 8 Issue 1, p1-11. 11p.

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.

Survey on Modeling of Human‐made Articulated Objects.

Authors: Liu, Jiayi Savva, Manolis Mahdavi‐Amiri, Ali

Source: Computer Graphics Forum; May2025, Vol. 44 Issue 2, p1-29, 29p

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

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

MONITORING IN THE URBAN SPACE: TRANSPARENCY OF SPACE, LACK OF TRANSPARENCY IN NEW TECHNOLOGIES.

Authors: KOŁODZIEJ, Arkadiusz TOMANEK, Krzysztof

Source: Transformations / Transformacje. 2023, Vol. 4 Issue 119, p364-391. 28p.

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

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.

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

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

Domain adaptive collaborative representation based classification.

Authors: Zhang, Guoqing Zheng, Yuhui Xia, Guiyu

Source: Multimedia Tools & Applications; Nov2019, Vol. 78 Issue 21, p30175-30196, 22p

UNDERSTANDING THE SPATIAL PATCHWORK OF PREDICTIVE MODELING OF FIRST WAVE PANDEMIC DECISIONS BY US GOVERNORS.

Authors: Solís, Patricia Dasarathy, Gautam Turaga, Pavan et al.

Source: Geographical Review. 2021, Vol. 111 Issue 4, p592-615. 24p.

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

Training calibration-based counterfactual explainers for deep learning models in medical image analysis.

Authors: Thiagarajan, Jayaraman J. Thopalli, Kowshik Rajan, Deepta et al.

Source: Scientific Reports. 1/12/2022, Vol. 12 Issue 1, p1-15. 15p.

Online Modules to Introduce Students to Solar Array Control using Neural Nets.

Authors: Narayanaswamy, Vivek Sivaraman Shanthamallu, Uday Shankar Dixit, Abhinav et al.

Source: Proceedings of the ASEE Annual Conference & Exposition. 2019, p4237-4254. 18p.

An Optical Flow-Based Approach for Minimally Divergent Velocimetry Data Interpolation.

Authors: Kanberoglu, Berkay Das, Dhritiman Nair, Priya et al.

Source: International Journal of Biomedical Imaging. 2/3/2019, p1-14. 14p.

Averaging of motion capture recordings for movements’ templates generation.

Authors: Hachaj, Tomasz Koptyra, Katarzyna Ogiela, Marek R.

Source: Multimedia Tools & Applications; Dec2018, Vol. 77 Issue 23, p30353-30380, 28p