Teaching Faculties
Mr. Prafulla Saxena
Assistant Professor Department of Artificial Intelligence & Machine Learning
- prafulla.saxena@jaipur.manipal.edu
- Ph.D (Pursuing) MNIT jaipur
- M.tech (CSE) MNIT jaipur 2018
- B.Tech.(CSE) Engineering College Bikaner 2013
- Computer vision
- Machine learning
- Deep learning
- Image analysis
- GATE-2016,
- NET-2023
- P. Saxena, K. Biradar, D. K. Tyagi, and S. K. Vipparthi, "Richex: A robust inter-frame change exposure for segmenting moving objects," in Proc. IEEE Int. Conf. Image Process. (ICIP), 2022, pp. 2172-2176.
- P. Saxena, S. M. Roy, D. K. Tyagi, S. K. Vipparthi, S. Murala, and R. Balasubramanian, "RefMOS: A robust referred moving object segmentation framework based on text query," in Proc. IEEE Int. Conf. Adv. Video Signal Based Surveillance (AVSS), Jul. 2024, pp. 1-7.
- P. Saxena, D. K. Tyagi, S. K. Vipparthi, and S. Murala, "WARMOS: Enhancing weather-affected referred moving object segmentation," in Proc. Asian Conf. Comput. Vis. (ACCV), Singapore: Springer, Dec. 2024, pp. 105-117.
- N. K. Patra, P. Saxena, B. K. Agrawal, and T. K. Jha, "Establishing connection between neutron star properties and nuclear matter parameters through a comprehensive multivariate analysis," Physical Review D, vol. 108, no. 12, p. 123015, Dec. 2023.
- S. M. A. Imam, P. Saxena, T. Malik, N. K. Patra, and B. K. Agrawal, "Calibrating global behavior of equation of state by combining nuclear and astrophysics inputs in a machine learning approach," Physical Review D, vol. 110, no. 10, p. 103042, Nov. 2024.
