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EllipBench: A Large-scale Benchmark for Machine-learning based Ellipsometry Modeling

Autor: Ma, Yiming, Li, Xinjie, Sun, Xin, Wang, Zhiyong, Wang, Lionel Z.

Ellipsometry is used to indirectly measure the optical properties and thickness of thin films. However, solving the inverse problem of ellipsometry is time-consuming since it involves human expertise to apply the data fitting techniques. Many studies

Externí odkaz: http://arxiv.org/abs/2407.17869

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DiffBody: Human Body Restoration by Imagining with Generative Diffusion Prior

Autor: Zhang, Yiming, Wang, Zhe, Li, Xinjie, Yuan, Yunchen, Zhang, Chengsong, Sun, Xiao, Zhong, Zhihang, Wang, Jian

Human body restoration plays a vital role in various applications related to the human body. Despite recent advances in general image restoration using generative models, their performance in human body restoration remains mediocre, often resulting i

Externí odkaz: http://arxiv.org/abs/2404.03642

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CI w/o TN: Context Injection without Task Name for Procedure Planning

Autor: Li, Xinjie

This paper explores the challenge of procedure planning in instructional videos, which involves creating goal-directed plans based on visual start and goal observations from videos. Previous research has tackled this problem with gradually weaker tra

Externí odkaz: http://arxiv.org/abs/2402.15579

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On the Sweet Spot of Contrastive Views for Knowledge-enhanced Recommendation

Autor: Ye, Haibo, Li, Xinjie, Yao, Yuan, Tong, Hanghang

In recommender systems, knowledge graph (KG) can offer critical information that is lacking in the original user-item interaction graph (IG). Recent process has explored this direction and shows that contrastive learning is a promising way to integra

Externí odkaz: http://arxiv.org/abs/2309.13384

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