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Divya Singh

Assistant Professor, School of Computing, Coimbatore

Qualification: M. Tech., B. Tech.
s_divya2@cb.amrita.edu
Research Interest: Deep Learning, Computer Vision

Bio Publications
Bio

Divya Singh is an Assistant Professor in School of Computing at Amrita Vishwa Vidyapeetham, Coimbatore. Her research interests include Deep Learning and computer vision. She has a Doctorate degree from IIT Patna. She is currently pursuing his doctoral studies at IIT Patna.

Publications

Journal Article

Year : 2024

TROPE: Triplet-Guided Feature Refinement for Person Re-Identification

Cite this Research Publication : Divya Singh, Jimson Mathew, Mayank Agarwal, Mahesh Govind, "TROPE: Triplet-Guided Feature Refinement for Person Re-Identification," IEEE Transactions on Emerging Topics in Computational Intelligence, DOI: 10.1109/TETCI.2024.3406411 (2024)

Publisher : IEEE Transactions on Emerging Topics in Computational Intelligence

Year : 2023

Indoor dataset for Person Re-Identification: Exploring the impact of backpacks

Cite this Research Publication : Divya Singh, Jimson Mathew, Mayank Agarwal, Mahesh Govind, "Indoor dataset for Person Re-Identification: Exploring the impact of backpacks," Journal of Visual Communication and Image Representation, Vol. 96, October 2023.

Publisher : Journal of Visual Communication and Image Representation

Year : 2023

DLIRIR: Deep learning based improved reverse image retrieval

Cite this Research Publication : Divya Singh, Jimson Mathew, Mayank Agarwal, Mahesh Govind, "DLIRIR: Deep learning based improved reverse image retrieval," Engineering Applications of Artificial Intelligence, Vol. 126, Part A, November 2023.

Publisher : Engineering Applications of Artificial Intelligence

Conference Paper

Year : 2019

Joint wireless charging and data collection using mobile element for rechargeable wsns

Cite this Research Publication : B Sanjai Prasada Rao, Divya Singh, Tarachand Amgoth, "Joint wireless charging and data collection using mobile element for rechargeable wsns," International Conference on Computing, Power and Communication Technologies (GUCON), pp. 837-844, IEEE, 2019.

Publisher : International Conference on Computing, Power and Communication Technologies (GUCON), IEEE

Conference Proceedings

Year : 2020

Optical bandgap and width of Urbach tail of lithium doped zinc oxide films deposited by SILAR method

Cite this Research Publication : Vamadevan R., Kumar V.R., Saji J. Optical bandgap and width of Urbach tail of lithium doped zinc oxide films deposited by SILAR method 2021 AIP Conference Proceedings 2369 10.1063/5.0061016 American Institute of Physics Inc. 2020 National Conference on Physics and Chemistry of Materials, NCPCM 2020 14 December 2020 through 16 December 2020 0094243X

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