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Asish Bera

Assistant Professor, Department of Computer Science & Information Systems, BITS Pilani, Pilani Campus

Artificial Intelligence, Deep Learning, Computer Vision
Room No -: Chamber 6120-D, New Academic Block,
Department of Computer Science & Information Systems,
Birla Institute of Technology & Science, Pilani- 333031, Rajasthan. India.

Recent Publications

Details can be found at:  Google Scholar 

Journals (SCI/SCIE):

[1]  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. 

 

[2] 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. 

 

[3] 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.  

 

[4]  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. 

 

[5] 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. 
 
  
[6] 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.   
 
 
[7] Asish Bera, Debotosh Bhattacharjee, and Mita Nasipuri, “Finger Contour Profile Based Hand Biometric Recognition,” Multimedia Tools and Applications, vol. 76, no. 20, pp. 21451-21479, 2017.  
 
 
[8] Asish Bera, Debotosh Bhattacharjee, and Mita Nasipuri, “Fusion Based Hand Geometry Recognition Using Dempster-Shafer Theory,” International Journal of Pattern Recognition and Artificial Intelligence, vol. 29, no. 5, 1556005 (1-24), 2015. 
 
 
[9] Palash Ray, Asish Bera, Debasis Giri, and Debotosh Bhattacharjee, "Style Matching CAPTCHA: Match Neural Transferred Styles to Thwart Intelligent Attacks," Multimedia Systems, Springer, 2023. 
 
[10] Asish Bera, , Debotosh Bhattacharjee, and Ondrej Krejcar, "PND-Net: Plant Nutrition Deficiency and Disease Classification using Graph Convolutional Network," Scientific Reports 14, 15537, 2024. 

 

Conferences 

[1] Ardhendu Behera, Zachary Wharton, Pradeep Hewage, and Asish Bera, “Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification,” 35th AAAI Conference on Artificial Intelligence, pp. 929–937, 2021.

[2] 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,” 24th IEEE International Conference on Intelligent Transportation Systems (ITSC), pp. 237-243, 2021.   

[3] Zachary Wharton, Ardhendu Behera, and Asish Bera, “An attention-driven hierarchical multiscale representation for visual recognition,” 32nd British Machine Vision Conference (BMVC), arXiv preprint arXiv:2110.12178, 2021. 
 
[4] Asish Bera, Debotosh Bhattacharjee, and Mita Nasipuri, “Pose-Invariant Hand Geometry for Human Identification using Feature Weighted k-NN Classifier,” 1st International Conference on Information Technology and Applied Mathematics, Advances in Intelligent Systems and Computing 699, Springer, pp. 115-129, 2019. 

[5] Asish Bera, Debotosh Bhattacharjee, and Mita Nasipuri, “Hand biometric verification with hand image based CAPTCHA,” 4th International Doctoral Symposium on Applied Computation and Security Systems, Advances in Intelligent Systems and Computing 666, Springer, pp. 3-18, 2018.

[6] A.K. Singh, Asish Bera, Hafizur Rahaman, Jimson Mathew, and D. K. Pradhan, “Error Detecting Dual Basis Bit Parallel Systolic Multiplication Architecture over GF (2m),” IEEE Circuits and Systems International Conference on Testing and Diagnosis (ICTD), 2009.

[7] Rajesh Mukherjee, Asish Bera, Debotosh Bhattacharjee, and Mita Nasipuri, “Human Gender Classification Based on Hand Images Using Deep Learning,” In: Sk, A.A., Turki, T., Ghosh, T.K., Joardar, S., Barman, S. (Eds) Artificial Intelligence. ISAI 2022. Communications in Computer and Information Science, vol 1695. Springer, Cham. 

[8] Ritwiz Singh, Keshav Kashyap, Rajesh Mukherjee, Asish Bera, and Mamata Dalui Chakraborty, "Deep Ear Biometrics for Gender Classification," Proceedings of the 4th International Conference on Communication, Devices and Computing, Lecture Notes in Electrical Engineering 1046,  Springer, 2023.

[9] Asish Bera, Debotosh Bhattacharjee, and Mita Nasipuri, “Deep Neural Networks Fused with Textures for Image Classification,” In Proc. 3rd 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.

[10] Palash Ray, Asish Bera, Ondrej Krejcar, Debotosh Bhattacharjee, and Mita Nasipuri, “WSports-50: An Image Dataset for Women’s Sport Action Classification,". In: Proc. 4th International Conference on Frontiers in Computing and Systems. COMSYS 2023. Lecture Notes in Networks and Systems, vol 975,  Springer, Singapore. https://doi.org/10.1007/978-981-97-2614-1_32

Book Chapter

[1] Asish Bera, Debotosh Bhattacharjee, and Mita Nasipuri, “Finger Biometric Recognition with Feature Selection,” 5th Chapter in the Book on “The Biometric Computing: Recognition and Registration,” CRC Press (Taylor & Francis Group, UK), pp. 87-112, 2019.

[2] Asish Bera, Debotosh Bhattacharjee, and Mita Nasipuri, “Hand Biometrics in Digital Forensics,” Computational Intelligence in Digital Forensics: Forensic Investigation and Applications, Studies in Computational Intelligence, Springer, vol. 555, pp. 145-163, 2014.