Avinab Saha

I am a third-year Ph.D. student at Laboratory of Image and Video Engineering, The University of Texas at Austin, advised by Prof. Al Bovik. The focal point of my current research endeavors lies within the domain of Perceptual Image & Video Quality Assessment, with a principal concentration on emerging technologies such as Cloud Gaming & Virtual Reality applications.

Previously, I was a Research Engineer at Samsung Research where I worked on the development of cutting-edge, AI-driven, low-complexity real-time algorithms for image and video enhancement applications that were commercialized in Samsung Galaxy Mobile Phones and 8K Televisions. Prior to that in 2019, I received my Bachelor's degree in Electronics and Electrical Communications Engineering from IIT Kharagpur, where I worked at the Visual Information Processing Lab with Prof. Jayanta Mukhopadhyay on accelerating Deep Learning models.

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News

Research & Development Experience

Research Ongoing/ Under Review
Photorealism and Face Reconstruction Quality in Digital Human Faces

Focus on assessing levels of Photorealism, accuracy of Face Reconstruction & Low-Level Details in Neural Rendered Digital Human Faces
3D Rendered Holograms in Virtual Reality
Subjective and Objective Quality Assessment of 3D Rendered Holograms.
Two Papers under preparation for IEEE Transactions on Image Processing
Peer Reviewed Research Articles
Exploring Explainability in Video Action Recognition
Avinab Saha*, Shashank Gupta*, Sravan Kumar Ankireddy*, Joydeep Ghosh
3rd Explainable AI for Computer Vision (XAI4CV) Workshop, IEEE/CVF Computer Vision and Pattern Recognition (CVPR) 2024
arxiv / poster
HIDRO-VQA: High Dynamic Range Oracle for Video Quality Assessment
Shreshth Saini*, Avinab Saha*, Alan C. Bovik
3rd Workshop on Image/Video/Audio Quality in Computer Vision and Generative AI, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024
arxiv / code / slides
Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild
Avinab Saha*, Sandeep Mishra*, Alan C. Bovik
IEEE/CVF Computer Vision and Pattern Recognition (CVPR) 2023
arxiv / code / video / poster/ slides
Study of Subjective and Objective Quality Assessment of Mobile Cloud Gaming Videos
Avinab Saha, Yu-Chih Chen, Chase Davis, Bo Qiu, Xiaoming Wang, Rahul Gowda, Ioannis Katsavounidis, Alan C. Bovik
IEEE Transactions on Image Processing (TIP) 2023
arxiv / project page / database request link / slides
GAMIVAL: Video Quality Prediction on Mobile Cloud Gaming Content
Yu-Chih Chen, Avinab Saha, Chase Davis, Bo Qiu, Xiaoming Wang, Rahul Gowda, Ioannis Katsavounidis, Alan C. Bovik
IEEE Signal Processing Letters (SPL) 2023
arxiv / code
Knowledge Distillation Inspired Fine-tuning of Tucker Decomposed CNNs and Adversarial Robustness Analysis
Ranajoy Sadhukhan, Avinab Saha, Jayanta Mukhopadhyay, Amit Patra
IEEE International Conference on Image Processing (ICIP) 2020
paper / code
Fitness Based Layer Rank Selection Algorithm for Accelerating CNNs by CANDECOMP/PARAFAC (CP) Decompositions
Avinab Saha, K Sai Ram, Jayanta Mukhopadhyay, Partha Pratim Das, Amit Patra
IEEE International Conference on Image Processing (ICIP) 2019
paper
Demos & Invited Talks/ Papers

Community Involvement


Source code credit to Dr. Jon Barron