Gopa Bhaumik

Scopus Publications

A comprehensive survey of image steganography: From traditional vision techniques to deep learning paradigms—Trends, challenges, and applications
Harsh Raj, Gopa Bhaumik
Computer Science Review, 2026
Autism Spectrum Disorder Detection Using Voting Based Multi-model Deep Ensemble Network
Sampad Mondal, Gopa Bhaumik, B Balaji Naik
Proceedings of the IEEE International Conference on AI Engineering and Innovations Aiei 2026, 2026
Individuals with Autism Spectrum Disorder often face difficulties in communication and social interaction. Early detection of ASD is crucial because early intervention and support can reduce social competence. The traditional detection approaches rely on psychological observation and require expert intervention. In this paper, we propose a multi-model ensemble model for ASD detection with improved prediction accuracy. The ensemble model includes three deep architectures such as DenseNet12, Xception, and a custom CNN for ASD detection. The performance of the proposed model is enhanced by ensembling the confidence of the individual models using soft voting scheme. The proposed model yields an astounding accuracy of 94.64% and an AUC of 0.9835 on Autistic Children Facial Dataset. The experimental result demonstrates that the proposed approach yields better results compared to the existing state of the art methods.
A Multiscale Asymmetric Concurrent Network for Static Hand Gesture Recognition With Cross-Channel Attention Mechanism
Arti Bahuguna, Mahesh Chandra Govil, Gopa Bhaumik
IEEE Multimedia, 2026
This paper introduces MACNet, a multiscale asymmetric concurrent network with a cross-channel attention mechanism for static hand gesture recognition. MACNet enhances feature extraction by integrating multiscale symmetric residual blocks (MARB), cross-channel additive attention blocks (CCAAB) and Enhanced Convolution Feature Fusion Modules (ECFFM). The network efficiently focuses on key features, improving accuracy and recognition performance. This research establishes a foundation for the advancement of HGR systems, which is beneficial to human-computer interaction and assistive technology. The proposed MACNet is evaluated on ten benchmark datasets: ASL Alphabets (A_Alp), Arabic Sign Language (ArASL), ASL Digit (AD), ASL Static (AS), Hagrid-14 (HG14), NUS-II, Bengali Sign Language (BL), ASL Finger Spelling (FS), Indian Sign Language (ISL), and Massey University Dataset (MUGD). Experimental results demonstrate that MACNet surpasses state-of-the-art models in accuracy, precision, recall, and F1-score, validating its effectiveness for static hand gesture recognition.
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
Engineering Applications of Artificial Intelligence, 2025
Disaster management with efficient user allocation using quantum-inspired cuckoo search and UAV-edge computing
Thandava Purandeswar Reddy, Gokarakonda Nikhil Sri Sai Teja, Bhukya Dayanand, A. Swamy Goud, Banavath Naik Balaji, Gopa Bhaumik, Bhabani Shankar Das
Cluster Computing, 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 and Video Processing, 2025
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
Biomedical Signal Processing and Control, 2024
SpAtNet: a spatial feature attention network for hand gesture recognition
Gopa Bhaumik, Mahesh Chandra Govil
Multimedia Tools and Applications, 2024
Triple Stack Deep Variational Autoencoder For Improved Hand Gesture Recognition
Arti Bahuguna, Gopa Bhaumik, Mahesh Chandra Govil
2024 15th International Conference on Computing Communication and Networking Technologies Icccnt 2024, 2024
This paper proposes a novel approach for hand gesture recognition using a triple-stack deep variational autoencoder. By employing a VAE framework, we facilitate both efficient representation learning and the generation of meaningful latent spaces for gesture recognition and classification. This is an extension of the traditional VAE architecture that incorporates three layers of encoding and decoding with a spatial deep neural network. In a regular VAE, there is typically only one layer for both the encoder and decoder. By stacking three layers in both the encoder and decoder, a triple-stack deep VAE can learn more complex hierarchical representations of the input data. Each layer in the encoder extracts increasingly abstract features from the input, while each layer in the decoder reconstructs the input from these abstract representations. The performance of the proposed model is evaluated in terms of accuracy, precision, recall, and F1-score on six benchmark datasets: ASL Static, Massey University Dataset (MUGD), ASL Digit, NUS-2, Bengali Sign Language (BSL), and Hagrid-14 (HG-14) datasets. The results of the experiment show that the proposed 3S-DVE achieves an accuracy of ${7 6 \\%}$ (MUGD Set 1), ${8 0 \\%}$ (MUGD Set 2), ${9 7 \\%}$ (MUGD Set 3), 96% (MUGD Set 4), 86% (MUGD Set 5), ${9 7 \\%}$ (ASL Digit), ${6 2 \\%}$ (ASL Static), ${7 4 \\%}$ (NUS-II Dataset), ${6 6 \\%}$ (BSL), 76% (MUGD Set 1), 80% (MUGD Set 2), 97% (MUGD Set 3), 96% (MUGD Set 4), 86% (MUGD Set 5), 97% (ASL Digit), 62% (ASL Static), ${7 4 \\%}$ (NUS-II Dataset), ${6 6 \\%}$ (BSL), and 79% (HG-14), respectively, which is better compared to the state-of-the-art methods.
Local Mean Directional Intensity Pattern: An Efficient Descriptor for Hand Gesture Recognition Using SVM Classification
Arti Bahuguna, Gopa Bhaumik, Mahesh Chandra Govil
Lecture Notes in Networks and Systems, 2024
HyFiNet: Hybrid feature attention network for hand gesture recognition
Gopa Bhaumik, Monu Verma, Mahesh Chandra Govil, Santosh Kumar Vipparthi
Multimedia Tools and Applications, 2023
ReEDNet-An Encoder–Decoder Framework for Single Image Dehazing
Konark Keshaw, Abhishek Pandey, Gopa Bhaumik, M C Govil
Smart Innovation Systems and Technologies, 2023
Local Neighborhood Average Pattern: A Handcrafted Feature Descriptor for Hand Gesture Recognition
Arti Bahuguna, Shalom Ben Tenzing Namchyo, Deepak Kumar Chaudhary, Gopa Bhaumik, Mahesh Chandra Govil
Icsccc 2023 3rd International Conference on Secure Cyber Computing and Communications, 2023
ExtriDeNet: an intensive feature extrication deep network for hand gesture recognition
Gopa Bhaumik, Monu Verma, Mahesh Chandra Govil, Santosh Kumar Vipparthi
Visual Computer, 2022
Att-PyNet: An Attention Pyramidal Feature Network for Hand Gesture Recognition
Gopa Bhaumik, Monu Verma, Mahesh Chandra Govil, Santosh Kumar Vipparthi
Lecture Notes in Electrical Engineering, 2022
Recognition of Hasta Mudra Using Star Skeleton—Preservation of Buddhist Heritage
Gopa Bhaumik, Mahesh Chandra Govil
Pattern Recognition and Image Analysis, 2021
CrossFeat: Multi-scale Cross Feature Aggregation Network for Hand Gesture Recognition
Gopa Bhaumik, Monu Verma, Mahesh Chandra Govil, Santosh Kumar Vipparthi
2020 IEEE 15th International Conference on Industrial and Information Systems Iciis 2020 Proceedings, 2020
Conserving Thangka − A technical approach unto the preservation of Buddhist Thangka through automation
Gopa Bhaumik, Mahesh Chandra Govil
Digital Applications in Archaeology and Cultural Heritage, 2020
EXTRA: An Extended Radial Mean Response Pattern for Hand Gesture Recognition
Gopa Bhaumik, Monu Verma, M C Govil, S K Vipparthi
Proceedings of the 2020 IEEE International Conference on Communication and Signal Processing Iccsp 2020, 2020
Buddhist Hasta Mudra Recognition Using Morphological Features
Gopa Bhaumik, Mahesh Chandra Govil
Communications in Computer and Information Science, 2020
Recognition Techniques in Buddhist Iconography and Challenges
Gopa Bhaumik, Shefalika Ghosh Samaddar, Arun Baran Samaddar
2018 International Conference on Advances in Computing Communications and Informatics Icacci 2018, 2018
Analysis and detection of human faces by using minimum distance classifier for surveillance
Gopa Bhaumik, Tanwi Mallick, Koyel Sinha Chowdhury, Gautam Sanyal
Itc 2010 2010 International Conference on Recent Trends in Information Telecommunication and Computing, 2010

RECENT SCHOLAR PUBLICATIONS

A comprehensive survey of image steganography: From traditional vision techniques to deep learning paradigms—Trends, challenges, and applications
H Raj, G Bhaumik
Computer Science Review 60, 100892 , 2026
2026
Citations: 1
Autism Spectrum Disorder Detection Using Voting Based Multi-model Deep Ensemble Network
S Mondal, G Bhaumik, BB Naik
2026 IEEE International Conference on AI Engineering and Innovations (AIEI), 1-6 , 2026
2026
A hybrid approach for static hand gesture recognition: Integrating Directional Adaptive Patterns with Multi-Scale Feature Extraction and Aggregation
A Bahuguna, G Bhaumik, BB Sinha, MC Govil
Engineering Applications of Artificial Intelligence 159, 111566 , 2025
2025
Citations: 3
A multi-scale asymmetric concurrent network for Static Hand Gesture Recognition with cross-channel attention mechanism
A Bahuguna, MC Govil, G Bhaumik
IEEE MultiMedia , 2025
2025
Disaster management with efficient user allocation using quantum-inspired cuckoo search and UAV-edge computing
TP Reddy, GNSS Teja, B Dayanand, AS Goud, BN Balaji, G Bhaumik, ...
Cluster Computing 28 (11), 744 , 2025
2025
A hybrid approach for static hand gesture recognition with integrated BiGRU-BiLSTM and sequential self-attention mechanism
A Bahuguna, MC Govil, G Bhaumik
Signal, Image and Video Processing 19 (6), 486 , 2025
2025
Citations: 9
Local Extrema Min-Max Pattern: A novel descriptor for extracting compact and discrete features for hand gesture recognition
A Bahuguna, G Bhaumik, MC Govil
Biomedical Signal Processing and Control 93, 106203 , 2024
2024
Citations: 14
Triple stack deep variational autoencoder for improved hand gesture recognition
A Bahuguna, G Bhaumik, MC Govil
2024 15th international conference on computing communication and networking … , 2024
2024
Citations: 2
SpAtNet: A spatial feature attention network for hand gesture recognition
G Bhaumik, MC Govil
Multimedia Tools and Applications 83 (14), 41805-41822 , 2024
2024
Citations: 15
Local mean directional intensity pattern: an efficient descriptor for hand gesture recognition using SVM classification
A Bahuguna, G Bhaumik, MC Govil
International Conference On Intelligent Computing Systems and Applications … , 2023
2023
Citations: 1
Local neighborhood average pattern: a handcrafted feature descriptor for hand gesture recognition
A Bahuguna, SBT Namchyo, DK Chaudhary, G Bhaumik, MC Govil
2023 Third International Conference on Secure Cyber Computing and … , 2023
2023
Citations: 7
Framework for Single Image Dehazing
K Keshaw, A Pandey, G Bhaumik, MC Govil
Intelligent Data Engineering and Analytics: Proceedings of the 10th … , 2023
2023
Hyfinet: hybrid feature attention network for hand gesture recognition
G Bhaumik, M Verma, MC Govil, SK Vipparthi
Multimedia Tools and Applications 82 (4), 4863-4882 , 2023
2023
Citations: 49
ExtriDeNet: an intensive feature extrication deep network for hand gesture recognition
G Bhaumik, M Verma, MC Govil, SK Vipparthi
The Visual Computer 38 (11), 3853-3866 , 2022
2022
Citations: 47
ReEDNet-An Encoder–Decoder Framework for Single Image Dehazing
K Keshaw, A Pandey, G Bhaumik, MC Govil
International Conference on Frontiers of Intelligent Computing: Theory and … , 2022
2022
Citations: 1
Att-PyNet: An Attention Pyramidal Feature Network for Hand Gesture Recognition
G Bhaumik, M Verma, MC Govil, SK Vipparthi
Edge Analytics: Select Proceedings of 26th International Conference—ADCOM … , 2022
2022
Att-PyNet: An Attention Pyramidal
G Bhaumik, M Verma, MC Govil
Edge Analytics: Select Proceedings of 26th International Conference—ADCOM … , 2022
2022
Recognition of hasta mudra using star skeleton—preservation of buddhist heritage
G Bhaumik, MC Govil
Pattern Recognition and Image Analysis 31 (2), 251-260 , 2021
2021
Citations: 6
CrossFeat: multi-scale cross feature aggregation network for hand gesture recognition
G Bhaumik, M Verma, MC Govil, SK Vipparthi
2020 IEEE 15th international conference on industrial and information … , 2020
2020
Citations: 9
Conserving Thangka− A technical approach unto the preservation of Buddhist Thangka through automation
G Bhaumik, MC Govil
Digital Applications in Archaeology and Cultural Heritage 18, e00149 , 2020
2020
Citations: 4

MOST CITED SCHOLAR PUBLICATIONS

Hyfinet: hybrid feature attention network for hand gesture recognition
G Bhaumik, M Verma, MC Govil, SK Vipparthi
Multimedia Tools and Applications 82 (4), 4863-4882 , 2023
2023
Citations: 49
ExtriDeNet: an intensive feature extrication deep network for hand gesture recognition
G Bhaumik, M Verma, MC Govil, SK Vipparthi
The Visual Computer 38 (11), 3853-3866 , 2022
2022
Citations: 47
SpAtNet: A spatial feature attention network for hand gesture recognition
G Bhaumik, MC Govil
Multimedia Tools and Applications 83 (14), 41805-41822 , 2024
2024
Citations: 15
Local Extrema Min-Max Pattern: A novel descriptor for extracting compact and discrete features for hand gesture recognition
A Bahuguna, G Bhaumik, MC Govil
Biomedical Signal Processing and Control 93, 106203 , 2024
2024
Citations: 14
EXTRA: an extended radial mean response pattern for hand gesture recognition
G Bhaumik, M Verma, MC Govil, SK Vipparthi
2020 International conference on communication and signal processing (ICCSP … , 2020
2020
Citations: 13
A hybrid approach for static hand gesture recognition with integrated BiGRU-BiLSTM and sequential self-attention mechanism
A Bahuguna, MC Govil, G Bhaumik
Signal, Image and Video Processing 19 (6), 486 , 2025
2025
Citations: 9
CrossFeat: multi-scale cross feature aggregation network for hand gesture recognition
G Bhaumik, M Verma, MC Govil, SK Vipparthi
2020 IEEE 15th international conference on industrial and information … , 2020
2020
Citations: 9
Analysis and detection of human faces by using minimum distance classifier for surveillance
G Bhaumik, T Mallick, KS Chowdhury, G Sanyal
2010 International Conference on Recent Trends in Information … , 2010
2010
Citations: 9
Local neighborhood average pattern: a handcrafted feature descriptor for hand gesture recognition
A Bahuguna, SBT Namchyo, DK Chaudhary, G Bhaumik, MC Govil
2023 Third International Conference on Secure Cyber Computing and … , 2023
2023
Citations: 7
Recognition of hasta mudra using star skeleton—preservation of buddhist heritage
G Bhaumik, MC Govil
Pattern Recognition and Image Analysis 31 (2), 251-260 , 2021
2021
Citations: 6
Buddhist hasta mudra recognition using morphological features
G Bhaumik, MC Govil
International Conference on Machine Learning, Image Processing, Network … , 2020
2020
Citations: 6
Recognition techniques in Buddhist iconography and challenges
G Bhaumik, SG Samaddar, AB Samaddar
2018 international conference on advances in computing, communications and … , 2018
2018
Citations: 6
Conserving Thangka− A technical approach unto the preservation of Buddhist Thangka through automation
G Bhaumik, MC Govil
Digital Applications in Archaeology and Cultural Heritage 18, e00149 , 2020
2020
Citations: 4
A hybrid approach for static hand gesture recognition: Integrating Directional Adaptive Patterns with Multi-Scale Feature Extraction and Aggregation
A Bahuguna, G Bhaumik, BB Sinha, MC Govil
Engineering Applications of Artificial Intelligence 159, 111566 , 2025
2025
Citations: 3
Triple stack deep variational autoencoder for improved hand gesture recognition
A Bahuguna, G Bhaumik, MC Govil
2024 15th international conference on computing communication and networking … , 2024
2024
Citations: 2
An algorithm for digital authentication of Buddha painting on Thangka
G Bhaumik, SG Samaddar, AB Samaddar
Science and Culture 84 (34), 129-133 , 2018
2018
Citations: 2
A comprehensive survey of image steganography: From traditional vision techniques to deep learning paradigms—Trends, challenges, and applications
H Raj, G Bhaumik
Computer Science Review 60, 100892 , 2026
2026
Citations: 1
Local mean directional intensity pattern: an efficient descriptor for hand gesture recognition using SVM classification
A Bahuguna, G Bhaumik, MC Govil
International Conference On Intelligent Computing Systems and Applications … , 2023
2023
Citations: 1
ReEDNet-An Encoder–Decoder Framework for Single Image Dehazing
K Keshaw, A Pandey, G Bhaumik, MC Govil
International Conference on Frontiers of Intelligent Computing: Theory and … , 2022
2022
Citations: 1
Autism Spectrum Disorder Detection Using Voting Based Multi-model Deep Ensemble Network
S Mondal, G Bhaumik, BB Naik
2026 IEEE International Conference on AI Engineering and Innovations (AIEI), 1-6 , 2026
2026

Gopa Bhaumik

RESEARCH INTERESTS

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS