16 citations · 42 across the 13 of their papers we have counts for
5 papers · 1 filter
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…
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…
Boosting Adversarial Transferability with Low-Cost Optimization via Maximin Expected Flatness
Chunlin Qiu, Ang Li, Yiheng Duan +4
Transfer-based attacks craft adversarial examples on white-box surrogate models and directly deploy them against black-box target models, offering model-agnostic and query-free thr…
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…
Universal Defensive Underpainting Patch: Making Your Text Invisible to Optical Character Recognition
JiaCheng Deng, Li Dong, Jiahao Chen +5
Optical Character Recognition (OCR) enables automatic text extraction from scanned or digitized text images, but it also makes it easy to pirate valuable or sensitive text from the…