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.

Email / Google Scholar / GitHub / Twitter(X) / LinkedIn / Instagram

News

05/2024: Joined Google Research as Research Intern in Athena Team!
04/2024: Paper accepted in 3rd Explainable AI for Computer Vision (XAI4CV) Workshop, CVPR 2024.
11/2023: Paper accepted in 3rd Workshop on Image/Video/Audio Quality in CV and Gen AI, WACV 2024.
09/2023: Guest Lecturer for ECE 371Q : Digital Image Processing, UT Austin, Fall 2023.
08/2023: Serving Assistant Director, LIVE for 2023-24 academic year.
06/2023: Invited Paper on Video Quality Assessment is now available online!
06/2023: Invited Talk on Video Quality Assessment for Cloud Gaming at VQEG, Spring Meeting .
06/2023: Paper accepted in CVPR 2023.
05/2023: Journal Paper accepted in IEEE Transactions on Image Processing.
03/2023: Short Journal Paper accepted in IEEE Signal Processing Letters.

Research & Development Experience

05/2024 - Present : Research Intern, Google Research, Mountain View in Athena Team.
05/2022 - 08/2022 : PhD Research Intern, Apple, Cupertino in Display & Color Technologies Team.
06/2019 - 01/2021 : Research Engineer, Samsung Research in AI Visual Processing Lab.
05/2018 - 08/2018 : Research Intern, Samsung Research in AI Visual Processing Lab.

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 / slides
	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

[Talk] Guest Lecturer for ECE 371Q : Digital Image Processing, UT Austin, Fall 2023.
[Paper] Perceptual Video Quality Assessment: The Journey Continues!, Frontiers in Signal Processing, June 2023
[Talk] Video Quality Assessment of Mobile Cloud Gaming Videos, VQEG, Spring Meeting, June 2023 [Slides]
[Demo] 3D Holograms in Virtual Reality, 6G@UT Forum, UT Austin, March 2023 [Media]

Community Involvement

Assistant Director, LIVE [Sept 2023 - Present]
Peer Reviewer for CVPR: 2024, ICLR: 2024, NeurIPS: 2023, ICML : 2023, 2024
Graduate Student Peer Mentor, ECE, UT Austin [Sept 2021 - Dec 2022]
Workplace Happiness Task Force, Samsung Research [Jan 2020 - Jan 2021]
Under-Graduate Council Member, IIT Kharagpur [July 2018 - May 2019]

Source code credit to Dr. Jon Barron