19 citations · 53 across the 8 of their papers we have counts for
6 papers · 1 filter
GameScope: A Multi-Attribute, Multi-Codec Benchmark Dataset for Gaming Video Quality Assessment
Rajesh Sureddi, Shreshth Saini, Avinab Saha +1
The development of video game streaming has grown rapidly, with major platforms such as YouTube and Twitch using different codecs. To support quality assessment models that work co…
Focus-N-Fix: Region-Aware Fine-Tuning for Text-to-Image Generation
Xiaoying Xing, Avinab Saha, Junfeng He +9
Text-to-image (T2I) generation has made significant advances in recent years, but challenges still remain in the generation of perceptual artifacts, misalignment with complex promp…
Exploring Explainability in Video Action Recognition
Avinab Saha, Shashank Gupta, Sravan Kumar Ankireddy +2
Image Classification and Video Action Recognition are perhaps the two most foundational tasks in computer vision. Consequently, explaining the inner workings of trained deep neural…
HIDRO-VQA: High Dynamic Range Oracle for Video Quality Assessment
Shreshth Saini, Avinab Saha, Alan C. Bovik
We introduce HIDRO-VQA, a no-reference (NR) video quality assessment model designed to provide precise quality evaluations of High Dynamic Range (HDR) videos. HDR videos exhibit a…
Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild
Avinab Saha, Sandeep Mishra, Alan C. Bovik
Automatic Perceptual Image Quality Assessment is a challenging problem that impacts billions of internet, and social media users daily. To advance research in this field, we propos…
Study of Subjective and Objective Quality Assessment of Mobile Cloud Gaming Videos
Avinab Saha, Yu-Chih Chen, Chase Davis +5
We present the outcomes of a recent large-scale subjective study of Mobile Cloud Gaming Video Quality Assessment (MCG-VQA) on a diverse set of gaming videos. Rapid advancements in…