About Me

I have completed my Ph.D. from the Image Processing Lab of Indian Statistical Institute, Kolkata, India under the guidance of my supervisor Prof. Bhabatosh Chanda.
My research interests include - Deep learning, Computer vision, Image processing.

News





Book Chapters

  1. Wadhwani, Mayank, Debapriya Kundu, Deepayan Chakraborty, and Bhabatosh Chanda. "Text extraction and restoration of old handwritten documents." In Digital Techniques for Heritage Presentation and Preservation, pp. 109-132. Springer, Cham, 2021. Paper Code

Journals

  1. Roy, Debapriya, Sanchayan Santra, and Bhabatosh Chanda. "Significance of Anatomical Constraints in Virtual Try-On." IEEE Transactions on Emerging Topics in Computational Intelligence (2024). Paper
  2. Roy, Debapriya, Sanchayan Santra, and Bhabatosh Chanda. "LGVTON: a landmark guided approach for model to person virtual try-on." Multimedia Tools and Applications (2022): 1-37. Paper Code

Conferences

  1. Roy, Debapriya, Diganta Mukherjee, and Bhabatosh Chanda. "An Unsupervised Approach towards Varying Human Skin Tone Using Generative Adversarial Networks." In 2020 25th International Conference on Pattern Recognition (ICPR), pp. 10681-10688. IEEE, 2021. Paper Code
  2. Roy, Debapriya, Sanchayan Santra, and Bhabatosh Chanda. "Incorporating Human Body Shape Guidance for Cloth Warping in Model to Person Virtual Try-on Problems." In 2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ), pp. 1-6. IEEE, 2020. Paper
  3. Kundu, Debapriya, and Arindam Biswas. "Finding Shortest Isothetic Path Inside a 3D Digital Object." International Symposium Computational Modeling of Objects Represented in Images. Springer, Cham, 2016. Paper

Talks

  1. Tutorial on "Applying Deep Learning in Image Processing and Computer Vision", at CVPR unit, ISI kolkata, India, November, 2022.
  2. Tutorial on the "Arithmetic related to the different layers of Convolutional neural networks" at Winter School on Deep Learning 2022 (WSDL 2022) organized by Indian Statistical Institute, Kolkata. Materials: [Notebook LectureNote]
  3. 'Generative adversarial networks' at Sixth Summer School on Computer Vision, Graphics and Image Processing, May 30 – July 12, 2019, ECSU, ISI, Kolkata
  4. A short tutorial on Python at Fifth Summer School on Computer Vision, Graphics and Image Processing, May 31 – July 13, 2018, ECSU, ISI kolkata














Masters Students
  • Sahini Das
Undergrad Students
  • Apoorva Vinayak
  • Arkadeep Chatterjee
  • Aman Raj
  • Ritesh verma
  • Soumili Ghosh
  • Madhurya Basu
  • Ujjan Gangopadhay
  • Uttaran Jana
  • Sayan Bose
  • Sarthak Sangam
  • Rajdeep Moulik
  • Riddhi Banerjee
  • Sayan Bose
  • Emon Mondal
  • Ashish Ranjan
  • Anand Kumar Siingh












Get in Touch

Contact

Email - debapriyakundu1@gmail.com, debapriya_r@isical.ac.in

Location - Kolkata