Durga Prasad Bavirisetti
Senior Lecturer
Research subject: Computer Science
Research area: Geospatial Information Science
About the researcher
Durga Prasad Bavirisetti is a researcher specializing in machine learning, deep learning, and computer vision. He earned his PhD in Signal and Image Processing from VIT University, India, in 2016, followed by postdoctoral research at Shanghai Jiao Tong University.
Bavirisetti has held various research and industry positions, including serving as an algorithm expert at the Alibaba Group Innovation Center and as a visiting scholar at UBC Okanagan and the University of Warsaw. He also worked as a postdoctoral researcher at NTNU, Norway, and as a research scientist in the Mobility Department at SINTEF Industries, focusing on machine vision for autonomous driving.
Read more at Google scholar External link.
More about Durga's research on his personal website External link.
Show the content
Articles
Scholarly articles, refereed
Bavirisetti, D., Kiss, G., Arnesen, P., Seter, H., Tabassum, S. & Lindseth, F. (2025). SnowPole Detection: A comprehensive dataset for detection and localization using LiDAR imaging in Nordic winter conditions. Elsevier, Data in Brief, 59 (), 10.1016/j.dib.2025.111403 [More information]
Qian, Y., An, R., Liu, G., Tang, H., Xiao, G. & Bavirisetti, D. (2025). TransFusion: Transfer learning-driven adaptive fusion network for infrared and visible image. Elsevier, Infrared physics & technology, 150 (), 10.1016/j.infrared.2025.105906 [More information]
Bavirisetti, D., Elisabeth Berget, G., Hanssen Kiss, G., Arnesen, P., Seter, H. & Lindseth, F. (2025). Vehicle Localization Framework Using Georeferenced Snow Poles and LiDAR in GNSS-Limited Environments Under Nordic Conditions. Institute of Electrical and Electronics Engineers (IEEE), IEEE Transactions on Intelligent Transportation Systems, 26 (12), (22296-22311). [More information]
Conference papers
Bavirisetti, D. (2025). Extended Evaluation of SnowPole Detection for Machine-Perceivable Infrastructure for Nordic Winter Conditions: A Comparative Study of Object Detection Models. : Proceedings of the FAIEME 2025 Conference, Stavanger, Norway. [More information]
Show the content
This page was last updated 2025-02-04