Research

I'm interested in computer vision, machine learning, and image processing. Much of my research is about image restoration and deep model compression. Representative papers are highlighted.

Recent News (see more...)

• Jan'22; Our paper on underwater image enhancement and super-resolution has been accepted in ACM Transactions on Multimedia Computing, Communications, and Applications (IF:3.275). arXiv Version

• Nov'21; Our paper on data-free quantization has been accepted in IEEE Transactions on Multimedia (IF:6.513). arXiv Version

• Oct'21; We are organising a contest at ICVGIP 2021.

• Oct'21; I have joined TensorTour Inc. as a research scientist.

Recent Publications (full list)

• Wavelength-based Attributed Deep Neural Network for Underwater Image Restoration
  Prasen Kumar Sharma, Ira Bisht, and Arijit Sur
  ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), (accepted, to appear, IF:3.275)
  




• A Generalized Zero-Shot Quantization of Deep Convolutional Neural Networks via Learned Weights Statistics
  Prasen Kumar Sharma, Arun Abraham, and Vikram Nelvoy Rajendiran
  IEEE Transactions on Multimedia, 2021, (accepted, IF:6.513)
  




• High-Quality Frame Recurrent Video De-Raining with Multi-Contextual Adversarial Network
  Prasen Kumar Sharma, Sujoy Ghosh, and Arijit Sur
  ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2021, (IF:3.275)
  




• High-Resolution Image De-raining using Conditional GAN with Sub-Pixel Upscaling
  Prasen Kumar Sharma, Sathisha Basavaraju, and Arijit Sur
  Springer journal of Multimedia Tools and Applications (MTAP), 2021, (IF:2.757)
  




• Scale-aware Conditional Generative Adversarial Network for Image Dehazing
  Prasen Kumar Sharma, Priyankar Jain, and Arijit Sur
  In Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV), 2020, USA
  

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