12 citations · 12 across the 1 of their papers we have counts for
4 papers
SimulBench: Evaluating Language Models with Creative Simulation Tasks
Qi Jia, Xiang Yue, Tianyu Zheng +2
We introduce SimulBench, a benchmark designed to evaluate large language models (LLMs) across a diverse collection of creative simulation scenarios, such as acting as a Linux termi…
Segmentation by registration-enabled SAM prompt engineering using five reference images
Yaxi Chen, Aleksandra Ivanova, Shaheer U. Saeed +4
The recently proposed Segment Anything Model (SAM) is a general tool for image segmentation, but it requires additional adaptation and careful fine-tuning for medical image segment…
Generalized Lightness Adaptation with Channel Selective Normalization
Mingde Yao, Jie Huang, Xin Jin +4
Lightness adaptation is vital to the success of image processing to avoid unexpected visual deterioration, which covers multiple aspects, e.g., low-light image enhancement, image r…
Enhancement by Your Aesthetic: An Intelligible Unsupervised Personalized Enhancer for Low-Light Images
Naishan Zheng, Jie Huang, Qi Zhu +3
Low-light image enhancement is an inherently subjective process whose targets vary with the user's aesthetic. Motivated by this, several personalized enhancement methods have been…