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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 on Video Engineering and Perceptual Quality Optimization. My research involves developing self-supervised learning algorithms to build robust and human-aligned perceptual models. My interests include leveraging unlabeled data for image generation, improving visual quality assessment, and optimizing video delivery systems. My experience encompasses high-resolution image synthesis and the development of algorithms for detectingAI-generated content.
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A self-supervised learning approach to extract video representation features that are sensitive to encoding complexity of various videos. [Working on submitting to ECCV 2026] |
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A self-supervised learning approach to extract image representation features that are sensitive to various image distortions. [Working on submitting to ECCV 2026] |
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A self-supervised learning method to improve the aligning capabilities of flow matching image generative models. [Working on submitting to NeurIPS 2026] |
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Krishna Srikar Durbha, Hassene Tmar, Ping-Hao Wu, Ioannis Katsavounidis and Alan C. Bovik  [Paper]  [Code] [Under Review in IEEE Transactions on Image Processing]
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Krishna Srikar Durbha, Asvin Kumar Venkataramanan, Rajesh Sureddi, Alan C. Bovik [Paper] [Code]
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Krishna Srikar Durbha and Alan C. Bovik [Paper] [Code]
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Krishna Srikar Durbha, Hassene Tmar, Cosmin Stejerean, Ioannis Katsavounidis, Alan C. Bovik [Paper] [Code]
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Krishna Srikar Durbha, Saidhiraj Amuru [Paper] [Code]
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Source Code Credit to Dr. Jon Barron |