Publications & Extras
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.
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.