Recognition Techniques in Buddhist Iconography and Challenges. - Gopa Bhaumik; Shefalika Ghosh Samaddar; Arun Baran Samaddar (ICACCI, 2018)

CrossFeat: Multi-scale Cross Feature Aggregation Network for Hand Gesture Recognition. - Gopa Bhaumik; Monu Verma; Mahesh Chandra Govil; Santosh Kumar Vipparthi (ICIIS, 2020)

Buddhist Hasta Mudra Recognition Using Morphological Features. - Gopa Bhaumik; Mahesh Chandra Govil (MIND (1), 2020)

Conserving Thangka - A technical approach unto the preservation of Buddhist Thangka through automation. - Gopa Bhaumik; Mahesh Chandra Govil (Digit. Appl. Archaeol. Cult. Heritage, 2020)

ExtriDeNet: an intensive feature extrication deep network for hand gesture recognition. - Gopa Bhaumik; Monu Verma; Mahesh Chandra Govil; Santosh Kumar Vipparthi (Vis. Comput., 2022)

HyFiNet: Hybrid feature attention network for hand gesture recognition. - Gopa Bhaumik; Monu Verma; Mahesh Chandra Govil; Santosh Kumar Vipparthi (Multim. Tools Appl., 2023)

Triple Stack Deep Variational Autoencoder For Improved Hand Gesture Recognition. - Arti Bahuguna; Gopa Bhaumik; Mahesh Chandra Govil (ICCCNT, 2024)

Local Extrema Min-Max Pattern: A novel descriptor for extracting compact and discrete features for hand gesture recognition. - Arti Bahuguna; Gopa Bhaumik; Mahesh Chandra Govil (Biomed. Signal Process. Control., 2024)

SpAtNet: a spatial feature attention network for hand gesture recognition. - Gopa Bhaumik; Mahesh Chandra Govil (Multim. Tools Appl., 2024)

A hybrid approach for static hand gesture recognition: Integrating Directional Adaptive Patterns with Multi-Scale Feature Extraction and Aggregation. - Arti Bahuguna; Gopa Bhaumik; Bam Bahadur Sinha; Mahesh Chandra Govil (Eng. Appl. Artif. Intell., 2025)

A hybrid approach for static hand gesture recognition with integrated BiGRU-BiLSTM and sequential self-attention mechanism. - Arti Bahuguna; Mahesh Chandra Govil; Gopa Bhaumik (Signal Image Video Process., 2025)