1 citations · 1 across the 4 of their papers we have counts for
4 papers
NSFW-Classifier Guided Prompt Sanitization for Safe Text-to-Image Generation
Yu Xie, Chengjie Zeng, Lingyun Zhang +1
The rapid advancement of text-to-image (T2I) models, such as Stable Diffusion, has enhanced their capability to synthesize images from textual prompts. However, this progress also…
OViP: Online Vision-Language Preference Learning for VLM Hallucination
Shujun Liu, Siyuan Wang, Zejun Li +3
Large vision-language models (LVLMs) remain vulnerable to hallucination, often generating content misaligned with visual inputs. Although recent training-based approaches aim to mi…
Analyze the Robustness of Classifiers under Label Noise
Cheng Zeng, Yixuan Xu, Jiaqi Tian
This study explores the robustness of label noise classifiers, aiming to enhance model resilience against noisy data in complex real-world scenarios. Label noise in supervised lear…
Analyze the robustness of three NMF algorithms (Robust NMF with L1 norm, L2-1 norm NMF, L2 NMF)
Cheng Zeng, Jiaqi Tian, Yixuan Xu
Non-negative matrix factorization (NMF) and its variants have been widely employed in clustering and classification tasks (Long, & Jian , 2021). However, noises can seriously affec…