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Souradeep Chakraborty


Applied Scientist II, Amazon
Email: sourachakra@gmail.com
Mobile: +1-6313206641
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Hello World! I'm an Applied Scientist at Amazon in Seattle, specializing in Generative AI. I earned my PhD in Computer Science from Stony Brook University in 2024, where I conducted research in the Computer Vision (CV) Lab under the guidance of Prof. Dimitris Samaras and Prof. Gregory Zelinsky.

Research Interest: My research interests lie in the areas of computer vision and machine learning. In the recent past, my focus has been on studying and predicting human visual attention. Specifically, I have developed deep learning models that can predict human visual attention in natural images, webpages, graphic designs, whole slide images of cancer tissues, etc. I have also worked in the domains of generative AI and self-supervised segmentation.

Prior to joining Stony Brook University, I completed my Masters degree from UC Santa Barbara, USA and IIT Kharagpur, India in the domain of signal processing. I completed my undergraduate degree from NIT Durgapur, India in Electronics and Communication Engineering.


Recent News

  • NEW 08/2025: 1 paper accepted to Medical Image Analysis [Impact Factor: 11.8]
  • 07/2024: 1 paper accepted to ECCV 2024
  • 06/2024: 1 paper accepted to MICCAI 2024
  • 11/2023: 1 paper accepted to WACV 2024
  • 07/2022: 1 paper accepted to IEEE Transactions on Multimedia [Impact Factor: 9.7]
  • 07/2022: 1 paper accepted to MICCAI Workshop (MOVI) 2022
  • 03/2022: 1 paper accepted to Journal of Vision [Impact Factor: 2.3]
  • 01/2022: 1 paper accepted to IEEE ISBI
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    Education

    Stony Brook University, USA
    PhD in Computer Science & Engineering
    August 2018 - December 2024
    University of California Santa Barbara, USA
    M.Sc in Electrical and Computer Engineering
    September 2016 - June 2018
    Indian Institute of Technology, Kharagpur, India
    M.Tech in Electronics and Electrical Communication Engineering
    (Specialization: Visual Information Processing and Embedded Systems)

    August 2013 - June 2015
    National Institute of Technology, Durgapur, India
    B.Tech in Electronics and Communication Engineering
    August 2008 - June 2012

    Research Experiences

    Stony Brook University, USA
    Under Prof. Dimitris Samaras
    May 2019 - December 2024
    University of California Santa Barbara, USA
    Under Prof. Yon Visell
    September 2016 - May 2018
    Indian Institute of Science, Bangalore, India
    Under Prof. R. Venkatesh Babu
    November 2015 - May 2016
    Indian Statistical Institute, Kolkata, India
    Under Prof. Sankar K. Pal
    May 2010 - July 2010
    Indian Institute of Technology Kharagpur, India
    Under Prof. Pabitra Mitra
    June 2013 - April 2015

    Industry

    Amazon, USA
    Applied Scientist II
    December 2024 - Present
    Amazon, USA
    Applied Scientist Intern
    May 2023 - August 2023
    Amazon, USA
    Applied Scientist Intern
    May 2022 - October 2022
    Cerner Healthcare, India
    Software Engineer
    May 2015 - November 2015
    Samsung Electronics, India
    Software Engineer
    July 2012 - July 2013

     

    Selected Research

    Self-supervised Co-salient Object Detection via Feature Correspondences at Multiple Scales
    Souradeep Chakraborty, Dimitris Samaras
    European Conference on Computer Vision (ECCV), 2024.
    [paper]

    Unsupervised and semi-supervised co-salient object detection via segmentation frequency statistics
    Souradeep Chakraborty, Shujon Naha, Muhammet Bastan, Amit Kumar K C, Dimitris Samaras
    IEEE Winter Conference on Applications of Computer Vision (WACV), 2024.
    [paper]

    Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer
    Souradeep Chakraborty, Ruoyu Xue, Rajarsi Gupta, Oksana Yaskiv, Constantin Friedman, Natallia Sheuka, Dana Perez, Paul Friedman, Won-Tak Choi, Waqas Mahmud, Beatrice Knudsen, Gregory Zelinsky, Joel Saltz, Dimitris Samaras
    Medical Image Analysis (MEDIA), Elsevier, 2025.
    [paper]

    Decoding the visual attention of pathologists to reveal their level of expertise
    Souradeep Chakraborty, Rajarsi Gupta, Oksana Yaskiv, Constantin Friedman, Natallia Sheuka, Dana Perez, Paul Friedman, Gregory Zelinsky, Joel Saltz, Dimitris Samaras
    MICCAI, 2024.
    [paper]

    Predicting visual attention in different graphic design documents
    Souradeep Chakraborty, Zijun Wei, Conor Kelton, Seoyoung Ahn, Aruna Balasubramanian, Gregory Zelinsky, Dimitris Samaras
    IEEE Transactions on Multimedia, 2022.
    [paper]

    Visual attention analysis of pathologists examining whole slide images of Prostate cancer
    Souradeep Chakraborty, Ke Ma, Rajarsi Gupta, Beatrice Knudsen, Joel Saltz, Gregory Zelinsky, Dimitris Samaras
    IEEE International Symposium on Biomedical Imaging (ISBI) 2022.
    [paper]

    Weighting the factors affecting attention guidance during free viewing and visual search: The unexpected role of object recognition uncertainty
    Souradeep Chakraborty, Gregory Zelinsky, Dimitris Samaras
    Journal of vision, 22(4), pp. 13, 2022
    [paper]

    A dense subgraph based algorithm for compact salient image region detection
    Souradeep Chakraborty, Pabitra Mitra
    Computer Vision and Image Understanding, Elsevier, Vol. 145, April 2016, pp. 1-14
    [paper]

    A site entropy rate and degree centrality based algorithm for image co-segmentation
    Souradeep Chakraborty, Pabitra Mitra
    Journal of Visual Communication and Image Representation, Elsevier, Vol. 33, Nov. 2015, pp. 20-30
    [paper]

    Image colourisation using deep feature-guided image retrieval
    Souradeep Chakraborty
    IET Image Processing, Apr. 2019.
    [paper]

    Deep image inpainting with region prediction at hierarchical scales
    Souradeep Chakraborty, Jogendra N. Kundu, and R. Venkatesh Babu
    Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) 2016
    [paper]