Research output per year
Research output per year
Personal profile
Education
Ph.D in Image Analysis from Telecom ParisTech, University of Paris, France
M.S (Research) in Signal and Image Processing from IMT Atlantique, University of Rennes, France.
B.Tech in Electronics and Communication Engg from Jaypee University of Information Technology, India.
Experience
2021 - Present: Associate Professor and Head, Department of Electronics and Communication Engg, Manipal Institute of Technology, Bengaluru (On Deputation from Manipal Institute of Technology, Manipal).
2019 - Present: Associate Professor, Department of Electronics and Communication Engg, Manipal Institute of Technology, Manipal.
2018-2019: Assistant Director (Research and Consultancy), Manipal Institute of Technology, Manipal
2014-2019: Assistant Professor, Department of Electronics and Communication Engg, Manipal Institute of Technology, Manipal.
Research Interests
Computer Vision and Machine Learning: Self Supervised Learning, Few-Shot Learning, Semantic Segmentation and Classification of UAV and satellite images and video, and deep learning tailored for earth observation.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
External positions
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Enhanced Vehicle Re-identification for Smart City Applications using Zone Specific Surveillance
Ashutosh Holla, B., Manohara Pai, M. M., Verma, U. & Pai, R. M., 2023, In: IEEE Access. 11, p. 29234-29249 16 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Fish Tracking and Continual Behavioral Pattern Clustering Using Novel Sillago Sihama Vid (SSVid)
Shreesha, S., Pai, M. M. M., Verma, U. & Pai, R. M., 2023, In: IEEE Access. 11, p. 29400-29416 17 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Texture based prototypical network for few-shot semantic segmentation of forest cover: Generalizing for different geographical regions
Puthumanaillam, G. & Verma, U., 14-06-2023, In: Neurocomputing. 538, 126201.Research output: Contribution to journal › Article › peer-review
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Comparison of Texture Classifiers with Deep Learning Methods for Flooded Region Identification in UAV Aerial Images
Verma, U. & Tangri, A., 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. Institute of Electrical and Electronics Engineers Inc., p. 7819-7822 4 p. (International Geoscience and Remote Sensing Symposium (IGARSS); vol. 2022-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Enhanced Vehicle Re-identification for ITS: A Feature Fusion approach using Deep Learning
Ashutosh Holla, B., Manohara Pai, M. M., Verma, U. & Pai, R. M., 2022, 2022 IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2022. Institute of Electrical and Electronics Engineers Inc., (2022 IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Citation (Scopus)