Publication

Book chapters:

B1. A. Das, R. Kunwer, U. Pal, M. F. Ballaster and M. Blumenstein, "An online learning technique for adaptive biometric system" pp. 73-96, in the book of Adaptive Biometric Systems to be published by Springer.

B2. R. Roy, I. Joshi, A. Das and A. Dantcheva; Comparing 3D CNN Architectures and Attention Mechanisms for Deep fake Detection" Springer Handbook of “Digital Face Manipulation and Detection“, 2021.

Peer-Reviewed Journal Publications:

J1. A. Das and R. Parekh “Iris Recognition using a Scalar based Template in Eigen-space”, International Journal of Computer Science and Telecommunication, vol.3, no.5, pp 74-79., May 2012. (Impact Factor: 0.657)

J2. A. Das and R. Parekh “Iris Recognition in 2D Eigen-space”, International Journal of Computer Applications, vol.52, no.19, pp 1-6, August 2012. (Impact Factor: 0.752)

J3. A. Das, U. Pal, M. F. Ballaster and M. Blumenstein, “A Framework for Liveness Detection for Direct Attack in Visible Spectrum for Multimodal Ocular Biometrics”. Pattern Recognition Letter, IISN: 0167-8655, 2015. (Impact Factor: 1.995 5-Year Impact Factor: 2.164 SNIP: 1.669)

J4. A. Das, M. F. Ballester, U. Pal, S. Pal, M. Diaz and M. Blumenstein, “Multi-script vs single-script scenarios in automatic off-line signature verification”. IET Biometrics, DOI. 10.1049/iet-bmt.2016.0010. (Impact Factor: 1.382 5-year Impact Factor: 1.639 CiteScore: 1.810 SNIP: 1.078) 

J5. A. Das, H. Suwanwiwat, M. F. Ballaster, U. Pal and M. Blumenstein, “Thai Automatic Signature Verification Employing Textural Features”.  IET Biometrics. (Impact Factor: 1.382) 2018

J6. H. Suwanwiwat, A. Das, M. Saqib, U. Pal, "Benchmarked Multi-script Thai Scene Text Dataset and its Multi-class Detection Solution", accepted at Springer MTAP 2020.

J7. S, V. Kumar, E. Yaghoubi, A. Das, B. S, Harish, H. Proença, "The P-DESTRE: A Fully Annotated Dataset for Pedestrian Detection, Tracking, Re-Identification and Search from Aerial Devices", accepted at IEEE Trans. on IFS. (TIFS) 2020

J8. M. A. Ferrer, A. Das, M Diaz, A, Morels, U. Pal, "Multiscript Printed Documents Database and Benchmarking based on Texture Features", accepted  at Springer Cognitive Computation.  2023.

J9. A. Das, U. Pal, M. F. Ballaster and M. Blumenstein, “Sclera biometrics: state-of-the-art and a way forward”. Communicated to ACM survey (Impact Factor: 6.748).

J10. D. P, Chowdhury, R. Kumari, S. Bakshi, M. N. Shaoo, A. Das, Lip as Biometric and Beyond: A Survey, accepted at Springer MTAP 2021.

J11. A. Das, X. Niu, A. Dancheva, S L Happy, H. Han, R. Zeghari, P. Robat, S. Shung, F, Bremond, X. Chen, A Spatio-temporal Approach for Apathy Classification.   accepted at IEEE TCSVT 2021.

J12. M. Marsico, H. Proença, S. Bakshi, A. Das, Editorial to special issue on novel insights on ocular biometrics, IVC 2021.

J13. T. Mondol, A. Das, Z. Ming, " Exploring Multi-Tasking Learning in Document Attribute Classification" accepted at Elsevier journal of pattern recognition letters, 2022.

J14. V. Thamizharasan, A. Das, D. Battaglino, F, Bremond, A. Dantcheva "Face Attribute Analysis from Structured Light: An End-to-End Approach", accepted at Springer MTAP 2022.

J15. M. Vitek, A.Das et al., "Exploring Bias in Sclera Segmentation Models: A Group Evaluation Approach," in IEEE Transactions on Information Forensics and Security, vol. 18, pp. 190-205, 2023, doi: 10.1109/TIFS.2022.3216468.

J16. S. Niak, A. Das, "UAV Forensic Techniques Using Machine Learning to enhance detection of Communication Network Cyber Threats",  accepted at SEAS Transactions 2023.

J17.  A. Das; H. Suwanwiwat; U. Pal "A Novel Multi-Task Learning Technique for Offline Handwritten Short Answer Spotting and Recognition",  accept at MTAP 2023. 

Peer-Reviewed conference publication:

C1 A. Das, Face recognition in reduced Eigen-plane, Communications, Devices and Intelligent Systems (CODIS), 2012.

C2. P. Das and A. Das “Three-Dimensional Location Detection Using Received Signal Strength”, International Conference on Signal Processing, Image Processing and Pattern Recognition, pp-1- 5, 2013.

C3. M. A. Ferrer, A. Morales, A. Das, M. Blumenstein and U. Pal, “Model-based Sclera vessels segmentation with SIFT Recognition and its combination with Iris", Spanish biometric consortium, VII Jornadas de Reconocimiento Biometrico de Personas, 12-13 September 2013, pp. 68-76, 2013

C4. A. Das, U. Pal, M. F. Ballaster and M. Blumenstein, “A New Method for Sclera Vessel Recognition using OLBP”, International Conference Chinese Conference on Biometric Recognition, LNCS 8232, pp. 370–377, 2013.

C5. A. Das, U. Pal, M. F. Ballaster, M. Blumenstein,’ Sclera Recognition Using D-SIFT, International Conference on Intelligent Systems Design and Applications pp.74-79, 2013. (h 5 index: 13)

C6. A. Das, U. Pal, M. F. Ballaster and M. Blumenstein, ’Fuzzy Logic based Sclera Recognition ’, pp. 561-568, In IEEE World Congress on Computational Intelligence - IEEE International Conference on Fuzzy Systems 2014. (h 5 index index: 19, h 5 index index median: 23)

C7. A. Das, U. Pal, M. F. Ballaster, M. Blumenstein,’ Multi-angle Based Lively Sclera Biometrics at a Distance’, IEEE Symposium Series on Computational Intelligence, pp. 22-29, 2014. (h 5 index index: 1)

C8. A. Das, U. Pal, M. F. Ballaster and M. Blumenstein, "A New Efficient and Adaptive Sclera Recognition System", IEEE Symposium Series on Computational Intelligence, pp.1-6, 2014,( (h 5 indexes:1)

C9. A. Das, U. Pal, M. F. Ballaster and M. Blumenstein, "A New Wrist Vein Biometric System", pp. 68-75, IEEE Symposium Series on Computational Intelligence, 65-70, 2014. ((h 5 index: 1)

C10. A. Das, “Face Recognition in reduced Eigen plane”, International Conference on Communications, Devices and Intelligent Systems, pp-620- 623, 2012.

C11. A. Das, U. Pal, M. F. Ballaster and M. Blumenstein, “Sclera Recognition - A Survey” Asian Conference on Pattern Recognition, pp. 917 -921, 2013.

C12. A. Das, U. Pal, M. F. Ballaster and M. Blumenstein, “SSBC 2015: Sclera Segmentation Benchmarking Competition”. pp. 1-6, at Intl. Conf. Biometrics Theory, Applications and Systems (BTAS), 2015. (h 5 Index-27)

C13. A. Das, P. Mondol, U. Pal, M. F. Ballaster and M. Blumenstein, Sclera Pattern Synthesis Based on Non-parametric Texture Synthesis Technique, at Computer Vision and Image Processing (CVIP-2016).

C14. A. Das, U. Pal, M. F. Ballaster and M. Blumenstein, “SSRBC 2015: Sclera Segmentation and Recognition Benchmarking Competition”. International Conference on Biometrics, 2016. ((h 5 -Index-29)

C15. A. Das, P. Mondol, U. Pal, M. F. Ballaster and M. Blumenstein, “Fast and Efficient Multimodal Eye Biometrics using Projective Dictionary Pair Learning”, at IEEE World Congress on Computational Intelligence- IEEE CEC 2016 ((h 5 -index-60, (h 5 index median-95).

C16. A. Das, U. Pal, M. F. Ballaster and M. Blumenstein, “ SSERBC 2017: Sclera Segmentation and Eye Recognition Benchmarking Competition”. Accepted at International Joint Conference on Biometrics, 2017.

C17. A. Das, A. Sengupta, U. Pal, M. F. Ballaster and M. Blumenstein, Linking Face Images Captured from the Optical Phenomenon in the Wild for Forensic Science, Accepted at Intl. Joint Conference on Biometrics, 2017.

C18. A. Das, U. Pal, M. F. Ballaster and M. Blumenstein,“ A Decision-level Fusion Strategy for Multimodal Ocular Biometrics in Visible Spectrum Based on Posterior Probability”. Accepted at Intl. Joint Conf. on Biometrics, 2017.

C19. H. Suwanwiwat, A. Das, U. Pal, M. F. Ballaster and M. Blumenstein, An Automatic Student Verification System Utilising Off-line Thai Name Components, Accepted at DICTA 2017. (H-index 13)

C20. H. Suwanwiwat, A. Das, U. Pal, M. F. Ballaster and M. Blumenstein, An Investigation of Discrete Hidden Markov Models on Handwritten Short Answer Assessment System, accepted at ICPRAI 2018.

C21. H. Suwanwiwat, A. Das, U. Pal and M. Blumenstein, ICFHR 2018 Competiton on Thai Student Signature and Name Components Recognition and Verification (TSNCRV2018), at ICFHR 2018.

C22.  A Das; U. Pal; M. A. Ferrer; M. Blumenstein; D. Štepec; P. Rot; Ž. Emeršič; V. Štruc; P. Peer, SSBC 2018: Sclera Segmentation Benchmarking Competition, ICB 2018

C23: A. Das, A. Sengupta, Md. Saqib, U. Pal and M. Blumenstein, More Realistic and Efficient Face-Based Mobile Authentication using CNNs, WCCI 2018. 

C24. A. Das, C. Galdi, H. Han, R. Ramachandran, J. L. Dugelay, A. Dantcheva, Recent Advances in Biometric Technology for Mobile Devices,  BTAS 2018.

C25. A, Das, A. Dantcheva, F, Bremond, Mitigating Bias in Gender, Age, and Ethnicity Classification: a Multi-Task Convolution Neural Network Approach, ECCVW 2018.

C26. X. Niu, X. Zhao, H. Han, A. Das, A. Dantcheva,  S. Shan, X. Chen, Robust Remote Heart Rate Estimation from Face Utilizing Spatial-temporal Attention, FG 2019.

C27. S. L. Happy, A. Dantcheva, A. Das, R. Zeghari, P, Robert, F. Bremond, Characterizing the State of Apathy with Facial Expression and Motion Analysis, FG 2019.

C28. A. Das, U Pal, M. Blumenstein, C. Wang, Y. He, Y. Zhu, Z. Sun, Sclera Segmentation Benchmarking Competition in Cross-resolution Environment, ICB 2019.

C29. S. L. Happy, A. Dantcheva, A. Das, R. Zeghari, P, Robert, F. Bremond, Apathy Classification by Exploiting Task Relatedness, FG 2020.

C30. A. Das, H. Suwanwiwat, U. Pal and M. Blumenstein, ICFHR 2020 Competition on Short answer ASsessment and Thai student SIGnature and NameCOMponents Recognition and Verification (SASIGCOM 2020), ICFHR 2020.

C31. V. Matej, A. Das et al. , SSBC 2020: Sclera Segmentation Benchmarking Competition in the Mobile Environment, IJCB 2020.

C32. A. Das, M. A. Ferrer, A. Morales, M. Diaz, U. Pal, D. Impedovo, H. Li, W. Yang, K. Ota, T. Yao. L. Q Hung, N. Q. Cuong, S. Kim, and A. Gattal., SIW 2021 ICDAR Competition on ScriptIdentification in the Wild, accepted at IEEE/IAPR ICDAR 2021.

C33. A. Das, H. Lu, H. Han, A. Dantcheva, S. Shan , X. Chen, BVPNet: Video-to-BVP Signal Prediction for Remote Heart Rate Estimation, FG2021.

C34. A.Das, S. Das, A. Dantcheva, Demystifying Attention Mechanisms for Deepfake Detection, FG2021.

C35. S Atreay, M. Bora, A. Mukherjee, A. Das. Enhancing 3D-Air Signature by Pen Tip Tail Trajectory Awareness: Dataset and Featuring by Novel Spatio-temporal CNN, accepted at IJCB 2023.

C36. A. Das, S. Atreya, A. Mukherjee, M. Vitek,  et al., Sclera Segmentation and Joint Recognition Benchmarking Competition: SSRBC 2023, accepted at IJCB 2023. 

C37. P Balaji, A.Das, S. Das, A. Dantcheva,  Attending Generalizability in Course of Deep Fake Detection by Exploring Multi-task Learning, ICCVW DFAD 2023.

C38. A. Mukherjee, A. Das, Recent Advancement in 3D Biometrics using Monocular Camera, accepted at IJCB 2023. 

C39. H. Rachalwar, M. Fang, N. Damer, A. Das, Depth-guided Robust Face Morphing Attack Detection, accepted at IJCB 2023. 

C40. S. Das,  T Jain, D. Reilly, P. Balaji, S. Karmakar., S. Marjit,  X. Li  A. Das,  M.  Ryoo, Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders,  Accepted at WACV 2024.

C41. K. Kuckreja, M. Danish, M. Naseer, A. Das, S. Khan, F. Khan, GeoChat: Grounded Large Vision-Language Model for Remote Sensing, Accepted at CVPR 2024.

C42. A. Chandra, A. AAshustosh, S. Das and A. Das,  Latent Flow Diffusion for Deepfake Video Generation, CVPRW 2024.

C43. K. Kuckreja, X. Hoque N. Poddar,  S. Reddy,  A. Dhall,  A. Das, INDIFACE: Illuminating India’s Deepfake Landscape with a Comprehensive Dataset, FG2024

Reports:, 

R1. A. Das, J. Ortega-Garcia, A. Moreno, A Semi-supervised Pipelined Deep Learner for an Adaptive and Efficient Biometric System, available (http://cis.ieee.org/images/files/Documents/GSRG/2015/Report_AbhijitDas.pdf)