3 papers
cs.CV2026
TrueSkin: Towards Fair and Accurate Skin Tone Recognition and Generation
Haoming Lu
Skin tone recognition and generation play important roles in model fairness, healthcare, and generative AI, yet they remain challenging due to the lack of comprehensive datasets an…
cs.CV2025
Beyond Realism: Learning the Art of Expressive Composition with StickerNet
Haoming Lu, David Kocharian, Humphrey Shi
As a widely used operation in image editing workflows, image composition has traditionally been studied with a focus on achieving visual realism and semantic plausibility. However,…
cs.CV2024
Can Vision-Language Models Replace Human Annotators: A Case Study with CelebA Dataset
Haoming Lu, Feifei Zhong
This study evaluates the capability of Vision-Language Models (VLMs) in image data annotation by comparing their performance on the CelebA dataset in terms of quality and cost-effe…