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Claim this profileWorks13 from public data
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- Active Data-Driven Design Using Dynamic Product Models14
Syntax for the ECA rules and their use in driving concurrent engineering are proposed in this paper.
- NTU ROSE Lab at TRECVID 2018: Ad-hoc Video Search and Video to Text.11
This paper adapted an image-based visual semantic embedding approach and trained the model on combined MS COCO and Flicker30k datasets for the matching and ranking subtask and trained two types of image-based ranking models on the MS COCO dataset.
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- Evaluating the efficacy of skincare product: A realistic short-term facial pore simulation5
The proposed simulation is able to render realistic facial pore changes and will pave the way for future research in facial skin simulation and skincare product developments.
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- AI-driven Remote Facial Skin Hydration and TEWL Assessment from Selfie Images: A Systematic Solution2
This work is the first study to explore skin assessment from selfie facial images without physical measurements, enabling AI-driven accessible skin analysis for broader real-world applications.
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- Controllable and Gradual Facial Blemishes Retouching Via Physics-Based Modelling1
The CGFR is based on physical modelling, adopting Sum-of-Gaussians to approximate skin subsurface scattering in a decomposed melanin and haemoglobin color space, and shows that CGFR can realistically simulate the blemishes’ gradual recovering process.
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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-11. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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