Aupendu Kar
অপেন্দু কর

Senior Computer Vision Researcher
Advanced Technology Group (ATG),
Dolby Research



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Biography

Aupendu Kar is a Senior Computer Vision Researcher in Dolby's Advanced Technology Group (ATG). His research interests cover computer vision and deep learning, with special emphasis on low-level vision. Specifically, he is dedicated to designing learning frameworks by exploring the physical properties of various vision applications, including image super-resolution, dehazing, rain removal, lowlight, and underwater image enhancement. He is also interested in exploring learning algorithms for medical image analysis.

News

  •   June 2022: Two papers in ICIP 2022 NEW
  •   March 2021: Two Papers in CVPR 2021
  •   March 2020: Graduate Student Member: IEEE
  •   June 2018: Joined PhD
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Selected Publications (More On Google Scholar)

  • "Sub-Aperture Feature Adaptation in Single Image Super-resolution Model for Light Field Imaging." Aupendu Kar, Suresh Nehra, Jayanta Mukhopadhyay, Prabir Kumar Biswas. IEEE International Conference on Image Processing (ICIP). IEEE, 2022.   PDF Webpage New
  • "Multi-latent GAN Inversion for unsupervised 3D Shape Completion." Krishnendu Ghosh, Aupendu Kar, Saumik Bhattacharya, Debashis Sen, Prabir Kumar Biswas. IEEE International Conference on Image Processing (ICIP). IEEE, 2022.   PDF Webpage New
  • "Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution Network." Aupendu Kar, Prabir Kumar Biswas. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2021.   PDF Webpage
  • "Zero-shot Single Image Restoration through Controlled Perturbation of Koschmieder's Model." Aupendu Kar, Sobhan Kanti Dhara, Debashis Sen, Prabir Kumar Biswas. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2021.   PDF Webpage
  • "Fully convolutional model for variable bit length and lossy high density compression of mammograms." Aupendu Kar, Sri Phani Krishna Karri, Nirmalya Ghosh, Ramanathan Sethuraman, Debdoot Sheet. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPR-W). IEEE, 2018.   PDF
  • "Jointly Learning Convolutional Representations to Compress Radiological Images and Classify Thoracic Diseases in the Compressed Domain." Ekagra Ranjan, Soumava Paul, Siddharth Kapoor, Aupendu Kar, Ramanathan Sethuraman, Debdoot Sheet. Indian Conf. on Computer Vision Graphics and Image Processing (ICVGIP). ACM, 2018.   PDF   CODE

Education

  • PhD in Machine Learning   June 18 – Ongoing
    Indian Institute of Technology Kharagpur
  • Masters of Technology in Instrumentation and Signal Processing   May 2018
    Indian Institute of Technology Kharagpur
  • Bachelors of Technology in Electrical Engineering   June 2015
    Kalyani Government Engineering College

Experience

  • Senior Computer Vision Researcher   September 2023 – ongoing
    Dolby Laboratories
    • Researcher at Dolby's Advanced Technology Group.
  • Teaching Assistant   July 2017 – October 2023
    Indian Institute of Technology Kharagpur
    • TA for EE69016 (Embedded Systems Lab), EE69014 (Real Time Signal Processing Lab),
      EC69502/ EC69505 (Image Processing Lab) courses.
    • TA for EC60501 (Digital Image Processing) and EC60502 (Pattern Recognition and
      Image Understanding) courses.
    • TA for Digital Image Processing (Jul-Oct 2023, Jul-Oct 2022),
      Pattern Recognition and Application (Jul-Oct 2023, Jul-Oct 2022),
      Deep Learning (Jul-Oct 2023, Jan-Apr 2023, Jan-Apr 2022, Jan-Apr 2021, Sep-Dec 2020, Jan-Apr 2020),
      Deep Learning for Visual Computing (Jan-Apr 2018)
      NPTEL course (A Project funded by MHRD, Govt.ofIndia).

Honors and Awards

  • MHRD Fellowship for pursuing doctoral degree June 2018
  • PhD offer in IIT-KGP after first year of masters June 2017
  • MHRD Fellowship for pursuing masters degree June 2016
  • Ranked GATE 2016 (Top 0.2%) March 2016
  • Ranked WBJEE 2011 (Top 0.7%) June 2011

Professional Activities

  • Talks and Tutorials
    • Taught deep learning tutorials for Short Term Course on Machine Vision
      for Robot Applications in Manufacturing (May 2022).
    • Taught deep learning tutorials for Deep Learning for Visual Computing (DLVC)
      summer and winter school (2017-2018).
  • Reviews
    • Journals: IET Image Processing; Circuits, Systems, & Signal Processing
    • Conferences: NeurIPS 2021-2022, CVPR 2022-2023, ECCV 2022, WACV 2023
  • Conference Attended
    • CVPR 2021, MICCAI 2021, ICIP 2022