Details can be found at:  Google Scholar 

Journals (SCI/SCIE):

• Asish Bera, Debotosh Bhattacharjee, and Ondrej Krejcar, "PND-Net: Plant Nutrition Deficiency and Disease Classification using Graph Convolutional Network," Scientific Reports 14,  15537, Nature Publishing Group UK London, 2024. 
• Asish Bera, Ondrej Krejcar, and Debotosh Bhattacharjee, “RAFA-Net: Region Attention Network For Food Items And Agricultural Stress Recognition,” IEEE Transactions on AgriFood Electronics,  DOI: 10.1109/TAFE.2024.3466561,  2024. 
• Asish Bera, Mita Nasipuri, Ondrej Krejcar, and Debotosh Bhattacharjee, “Fine-Grained Sports, Yoga, and Dance Postures Recognition: A Benchmark Analysis,” IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-13, Art no. 5020613, 2023. 
• Asish Bera, Zachary Wharton, Yonghuai Liu, Nik Bessis, and Ardhendu Behera, “SR-GNN: Spatial Relation-aware Graph Neural Networks for Fine-Grained Image Categorization,” IEEE Transactions on Image Processing, vol. 31, pp. 6017-6031, 2022. 
• Asish Bera, Zachary Wharton, Yonghuai Liu, Nik Bessis, and Ardhendu Behera, “Attend and Guide (AG-Net): A Keypoints-driven Attention-based Deep Network for Image Recognition,” IEEE Transactions on Image Processing, vol. 30, pp. 3691-3704, 2021.  
• Asish Bera and Debotosh Bhattacharjee, “Human Identification using Selected Features from Finger Geometric Profiles,” IEEE Transactions on Systems, Man, and Cybernetics: Systems. vol. 50, no. 3, pp. 747-761, 2020. 
• Asish Bera, Debotosh Bhattacharjee, and Hubert P. H. Shum, “Two-Stage Human Verification using HandCAPTCHA and Anti-Spoofed Finger Biometrics with Feature Selection,” Expert Systems with Applications, Elsevier, vol.171, 114583, 2021. 
• Asish Bera, Ratnadeep Dey, Debotosh Bhattacharjee, Mita Nasipuri, and Hubert P. H. Shum, “Spoofing Detection on Hand Images Using Quality Assessment,” Multimedia Tools and Applications, vol. 80, no. 19, pp. 28603-28626, 2021.   
• Palash Ray, Asish Bera, Debasis Giri, and Debotosh Bhattacharjee, "Style Matching CAPTCHA: Match Neural Transferred Styles to Thwart Intelligent Attacks," Multimedia Systems, Springer, 2023. 

Conferences 

• Ardhendu Behera, Zachary Wharton, Pradeep Hewage, and Asish Bera, “Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification,” 35^th AAAI Conference on Artificial Intelligence, pp. 929–937, 2021.
• K. B. Devika, Asish Bera, Venkata Ramani Shreya Yellapantula, Ardhendu Behera, Yonghuai Liu, and Shankar C. Subramanian, “Driver Distraction Recognition-driven Collision Avoidance Algorithm for Active Vehicle Safety,” 24^th IEEE International Conference on Intelligent Transportation Systems (ITSC), pp. 237-243, 2021.   
• Zachary Wharton, Ardhendu Behera, and Asish Bera, “An attention-driven hierarchical multiscale representation for visual recognition,” 32^nd British Machine Vision Conference (BMVC), arXiv preprint arXiv:2110.12178, 2021. 
• Asish Bera, Debotosh Bhattacharjee, and Mita Nasipuri, “Deep Neural Networks Fused with Textures for Image Classification,” In Proc. 3^rd International Conference on Frontiers in Computing and Systems (COMSYS),  Lecture Notes in Networks and Systems Series,  Lecture Notes in Networks and Systems, vol 690, Springer, 2022.
• Aditya Agarwal*,  Parth Jha∗,  Ojas Jain∗, and Asish Bera, "POA-Net: Dance POses and Activity Classification using Convolutional Neural Networks," IEEE Region 10 Symposium (TENSYMP), New Delhi, India,  pp. 1-6, doi: 10.1109/TENSYMP61132.2024.10752281, 2024.