Aupendu Kar
অপেন্দু কর

Senior Researcher - Sight Lab
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.

Selected Publications (More On Google Scholar)

  • "Temporal Consistent Semantic Video Color Transfer from Multiple References." Aupendu Kar, Guan-Ming Su. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2025.   Paper Link
  • "RGB-D Fusion through Zero-shot Fuzzy Membership Learning for Salient Object Detection." Sudipta Bhuyan, Aupendu Kar, Debashis Sen, Sankha Deb IEEE Transactions on Artificial Intelligence, 2024.   Paper Link
  • "Self-supervision via Controlled Transformation and Unpaired Self-conditioning for Low-light Image Enhancement." Aupendu Kar, Sobhan Kanti Dhara, Debashis Sen, Prabir Kumar Biswas. IEEE Transactions on Instrumentation and Measurement, 2024.   Paper Link Code
  • "Artificially Generated Visual Scanpath Improves Multi-label Thoracic Disease Classification in Chest X-Ray Images." Ashish Verma, Aupendu Kar, Krishnendu Ghosh, Sobhan Kanti Dhara, Debashis Sen, Prabir Kumar Biswas IEEE Transactions on Instrumentation and Measurement, 2024.   Paper Link Code
  • "Adapting the Learning Models of Single Image Super-resolution into Light-field Imaging." Aupendu Kar, Suresh Nehra, Jayanta Mukhopadhyay, Prabir Kumar Biswas. IEEE Transactions on Computational Imaging, 2024.   Paper Link Webpage
  • "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), 2022.   Paper Link
  • "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), 2021.   Paper Link Webpage & Code
  • "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), 2021.   Paper Link Webpage & Code
  • "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), 2018.   Paper Link

Education

  • PhD in Computer Vision and Deep Learning   September 2023
    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 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).

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