Experience
August 2010 onwards
Teachings
Image Processing`,
Pattern Recognition ,
Computer Vision ,
Computer Graphics ,
Machine Learning ,
Data Structure and Algorithm ,
C Programming ,
Fundamentals of Computing ,
Education
PhD (NIT Sikkim)
M.Tech (NIT Durgapur)
B.Tech (NIT Agartala)
Contact Address :
Department of Computer Science and Engineering
NIT Sikkim
Ravangla, Barfung Block,
South Sikkim-737139
International Journals
► Bhaumik, G., Verma, M., Govil, M.C. et al. HyFiNet: Hybrid feature attention network for hand gesture recognition. Multimed Tools Appl (2022).
https://doi.org/10.1007/s11042-021-11623-3
► Bhaumik, G., Verma, M., Govil, M.C. and Vipparthi, S.K., 2021. ExtriDeNet: an intensive feature extrication deep network for hand gesture recognition. The Visual Computer, pp.1-14.
► Bhaumik, G. and Govil, M.C., 2021. Recognition of Hasta Mudra Using Star Skeleton-Preservation of Buddhist Heritage. Pattern Recognition and Image Analysis, 31(2), pp.251-260.
► Bhaumik, G. and Govil, M.C., 2020. Conserving Thangka? A technical approach unto the preservation of Buddhist Thangka through automation. Digital Applications in Archaeology and Cultural Heritage, 18, p.e00149.
International Conferences
► Bhaumik, G., Verma, M., Govil, M. C., & Vipparthi, S. K. (2020, July). EXTRA: An Extended Radial Mean Response Pattern for Hand Gesture Recognition. In 2020 International Conference on Communication and Signal Processing (ICCSP) (pp. 0640-0645). IEEE.
► Bhaumik, G., Verma, M., Govil, M. C., & Vipparthi, S. K. (2020, Nov). CrossFeat: Multi-scale Cross Feature Aggregation Network for Hand Gesture Recognition. In 15th International Conference on Industrial and Information Systems (ICIIS) 2020. IEEE. (Best Paper Awarded)
► Bhaumik, G., Verma, M., Govil, M. C., & Vipparthi, S. K. (2020, Dec). Att-PyNet: An Attention Pyramidal Feature Network for Hand Gesture Recognition. In 26th Annual International Conference on Advanced Computing and Communications.
► Bhaumik, G. and Govil, M. C. (2020, July). Buddhist Hasta Mudra Recognition Using Morphological Features. In International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, pp. 356-364. Springer, Singapore, 2020.
► Bhaumik, G., Samaddar, S. G., & Samaddar, A. B. (2018, September). Recognition Techniques in Buddhist Iconography and Challenges. In 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 1285-1289). IEEE.
► Bhaumik, G., Mallick, T., Chowdhury, K.S. and Sanyal, G., (2010, March). Analysis and detection of human faces by using minimum distance classifier for surveillance. In 2010 International Conference on Recent Trends in Information, Telecommunication and Computing (pp. 265-267). IEEE.
gopa.bhaumik09@nitsikkim.ac.in 
