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cs.CV2026
Safeguarding Text-to-Image Generation via Inference-Time Prompt-Noise Optimization
Jiangweizhi Peng, Zhiwei Tang, Gaowen Liu +2
Text-to-Image (T2I) diffusion models are widely recognized for their ability to generate high-quality and diverse images based on text prompts. However, despite recent advances, th…
cs.CV2025
Targeted Forgetting of Image Subgroups in CLIP Models
Zeliang Zhang, Gaowen Liu, Charles Fleming +2
Foundation models (FMs) such as CLIP have demonstrated impressive zero-shot performance across various tasks by leveraging large-scale, unsupervised pre-training. However, they oft…
cs.CV2024
Self-Adapting Large Visual-Language Models to Edge Devices across Visual Modalities
Kaiwen Cai, Zhekai Duan, Gaowen Liu +2
Recent advancements in Vision-Language (VL) models have sparked interest in their deployment on edge devices, yet challenges in handling diverse visual modalities, manual annotatio…