Computer Vision • Deep Learning • Image Restoration

Aupendu Kar
অপেন্দু কর

Senior Researcher — Sight Lab

Advanced Technology Group (ATG) • Dolby Research

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Journals

  1. 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, vol. 5, no. 7, pp. 3638–3652, 2024. [Paper]
  2. Adapting the Learning Models of Single Image Super-Resolution Into Light-Field Imaging. Aupendu Kar, Suresh Nehra, Jayanta Mukherjee, Prabir Kumar Biswas. IEEE Transactions on Computational Imaging, vol. 10, pp. 496–509, 2024. [Paper] [Code]
  3. 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, vol. 73, pp. 1–13, 2024. [Paper] [Code]
  4. 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, vol. 73, pp. 1–11, 2024. [Paper] [Code]
  5. Event Camera Guided Visual Media Restoration and 3D Reconstruction: A Survey. Aupendu Kar, Vishnu Raj, Guan-Ming Su. APSIPA Transactions on Signal and Information Processing, vol. 15, no. 1, pp. 110–162, 2026. [Paper]

Conferences

  1. 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. International Conference on Computer Vision, Graphics, and Image Processing (ICVGIP), 2018. [Paper]
  2. A Deep Convolutional Neural Network Based Classification of Multi-Class Motor Imagery With Improved Generalization. Aupendu Kar, Sutanu Bera, Sri Phani Krishna Karri, Sudipta Ghosh, Manjunatha Mahadevappa, Debdoot Sheet. IEEE Engineering in Medicine and Biology Conference (EMBC), 2018. [Paper]
  3. A Randomised Ensemble Learning Approach for Multiclass Motor Imagery Classification Using Error Correcting Output Coding. Sutanu Bera, Rinku Roy, Debdeep Sikdar, Aupendu Kar, Rupsha Mukhopadhyay, Manjunatha Mahadevappa. IEEE Engineering in Medicine and Biology Conference (EMBC), 2018. [Paper]
  4. Ultracompression: Framework for High Density Compression of Ultrasound Volumes Using Physics Modeling Deep Neural Networks. Debarghya China, Francis Tom, Sumanth Nandamuri, Aupendu Kar, Mukundhan Srinivasan, Pabitra Mitra, Debdoot Sheet. IEEE International Symposium on Biomedical Imaging (ISBI), 2019. [Paper]
  5. Zero-Shot Single Image Restoration Through Controlled Perturbation of Koschmieder's Model. Aupendu Kar, Sobhan Kanti Dhara, Debashis Sen, Prabir Kumar Biswas. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [Paper] [Code]
  6. Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution Network. Aupendu Kar, Prabir Kumar Biswas. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [Paper] [Code]
  7. 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]
  8. 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), 2022. [Paper] [Code]
  9. Sharing the Learned Knowledge-base to Estimate Convolutional Filter Parameters for Continual Image Restoration. Aupendu Kar, Krishnendu Ghosh, Prabir Kumar Biswas. International Conference on Computer Vision, Graphics, and Image Processing (ICVGIP), 2025. [Paper] [Code]
  10. Light-Field Dataset for Disparity Based Depth Estimation. Suresh Nehra, Aupendu Kar, Prabir Kumar Biswas, Jayanta Mukhopadhyay. International Conference on Computer Vision, Graphics, and Image Processing (ICVGIP), 2025. [Paper] [Code]
  11. A Fast, Simple, and Flexible Scale Informative Feature Transform Module for Arbitrary Scale Image Super-Resolution. Aupendu Kar, Prabir Kumar Biswas. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2026. [Paper] [Code]
  12. Deep Restoration of Archival Videos: Developments, Challenges, and Opportunities. Shiv Gehlot, Sri Harsha Musunuri, Sutanu Bera, Aupendu Kar, Guan-Ming Su. IEEE International Conference on Next Generation Computing and Communication (ICNC), 2026. [Paper]

Peer-Reviewed Workshops

  1. 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. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018. [Paper]
  2. Temporal Consistent Semantic Video Color Transfer from Multiple References. Aupendu Kar, Guan-Ming Su. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2025. [Paper] [Code]