2 citations · 2 across the 8 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.CV2024
Advancing Video Quality Assessment for AIGC
Xinli Yue, Jianhui Sun, Han Kong +9
In recent years, AI generative models have made remarkable progress across various domains, including text generation, image generation, and video generation. However, assessing th…
cs.CV2024
Revisiting Video Quality Assessment from the Perspective of Generalization
Xinli Yue, Jianhui Sun, Liangchao Yao +8
The increasing popularity of short video platforms such as YouTube Shorts, TikTok, and Kwai has led to a surge in User-Generated Content (UGC), which presents significant challenge…
cs.CV2024★ 2 cited
Revisiting Adversarial Training under Long-Tailed Distributions
Xinli Yue, Ningping Mou, Qian Wang +1
Deep neural networks are vulnerable to adversarial attacks, often leading to erroneous outputs. Adversarial training has been recognized as one of the most effective methods to cou…