Krishna Srikar Durbha

I am a fourth-year Ph.D. student at Laboratory of Image and Video Engineering, The University of Texas at Austin, advised by Prof. Alan Bovik. As part of my research, I collaborate with Meta Video Infrastructure Team to improve video streaming quality. My research focuses on designing novel methods for learning efficient representations of images and videos across different domains.

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Education
  • Ph.D. in Electrical and Computer Engineering
    2022 - Present
    The University of Texas at Austin
    Advisor: Prof. Alan Bovik
  • Bachelor's in Electrical Engineering
    2018 - 2022
    IIT Hyderabad
Research Interests
  • Image and Video Representation Learning
  • Computer Vision
  • Video Streaming Optimization
  • Generative AI
  • Image and Video Processing
News
Research Ongoing | Under Review
Video Encoding Complexity

Focus on extracting video representation features that are sensitive to encoding complexity variations of various video encoding settings.
High-Resolution Text-to-Image Generation using Diffusion Models

Work completed at Samsung Research America.
“Leveraging Compression to Construct Transferable Bitrate Ladders

Finalizing the work for TIP submission.
Constructing Per-Shot Bitrate Ladders using Visual Information Fidelity

Under Review in TIP.
Published Papers
Perceptual Classifiers: Detecting Generative Images using Perceptual Features

Krishna Srikar Durbha, Asvin Kumar Venkataramanan, Rajesh Sureddi, Alan C. Bovik

[Paper]    [Code]
Bitrate Ladder Construction Using Visual Information Fidelity

Krishna Srikar Durbha, Hassene Tmar, Cosmin Stejerean, Ioannis Katsavounidis, Alan C. Bovik

[Paper]    [Code]
AutoML Models for Wireless Signals Classification and their effectiveness against Adversarial Attacks

Krishna Srikar Durbha, Saidhiraj Amuru

[Paper]    [Code]

Source Code Credit to Dr. Jon Barron