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Dr. Priya Mariam Raju

ASSISTANT PROFESSOR

Employee Code / ID No. 10223056
Qualifications Ph.D.(Image Processing, Computer Vision, Machine Learning), M. Tech in CSE. B. Tech in CSE
Orcid ID 0000-0002-3203-0226
Industry / R & D Experience Full Time Research (5 years)
Email ID [email protected]
Alternate E-mail ID [email protected]
Mobile No (Optional) / Intercom Extension No. 9497327318
Areas of Interest / Current Research Image Processing, Computer Vision, Machine Learning, Deep Learning
Research,  Consultancy, Publication
  • Priya Mariam Raju, Deepak Mishra, and Prerana Mukherjee. “DA-SACOT: Domain-Adaptive Segmentation guided Attention for Correlation based Object Tracking” Image and Vision Computing, May 2021. (Impact Factor: 4.7, SCI Indexed)
  • Priya Mariam Raju, Deepak Mishra, and Rama Krishna Sai S. Gorthi. “Detection based long term tracking in correlation filter trackers.” Pattern Recognition Letters 122 (2019): 79-85. (Impact Factor: 5.1, SCI Indexed)
  • Priya Mariam Raju, and Madhu S. Nair. “Copy-move forgery detection using binary discriminant features.” Journal of King Saud University-Computer and Information Sciences (2022).(Impact factor: 6.9, SCIE Indexed)
  • Rout, L., Priya Mariam Raju., Mishra, D., Gorthi, R. K. S. S. (2018, December). Learning Rotation Adaptive Correlation Filters in Robust Visual Object Tracking. In Asian Conference on Computer Vision (pp. 646 – 661). Springer, Cham.
  • Priya Mariam Raju, Mishra, D., and Subrahmanyam, G. R. K. S. (2018, December). Bag of Visual Words based Correlation Filter Tracker (BoVW-CFT). In Proceedings of the 11th Indian Conference on Computer Vision, Graphics, and Image Processing (pp. 1-9).
  • Kristan, Matej, et al. “The sixth visual object tracking VOT2018 challenge results.” Proceedings of the European Conference on Computer Vision (ECCV) Workshops (2018).
Ph.D Research Guidance ( Research Scholar, E-mail ID, Research Topic/ Tentative Thesis Tittle) —-
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