3 papers
cs.CV2026
Efficient Quantization-Aware Distillation with Cross-Modal Alignment for Edge Vision-Language Models
Jinwoo Jeon, GyuYeop Do, Yubin Lim +4
Large-scale vision-language models (VLM) such as CLIP enable strong open-vocabulary reasoning, yet deploying these capabilities on resource-constrained edge devices remains challen…
cs.CV2025
uCLIP: Parameter-Efficient Multilingual Extension of Vision-Language Models with Unpaired Data
Dahyun Chung, Donghyun Shin, Yujin Sung +3
Contrastive Language-Image Pre-training (CLIP) has demonstrated strong generalization across a wide range of visual tasks by leveraging large-scale English-image pairs. However, it…
cs.CV2025
Iterative Prompt Refinement for Safer Text-to-Image Generation
Jinwoo Jeon, JunHyeok Oh, Hayeong Lee +1
Text-to-Image (T2I) models have made remarkable progress in generating images from text prompts, but their output quality and safety still depend heavily on how prompts are phrased…