Search Results for author: Fu-Ya Luo

Found 3 papers, 2 papers with code

Weak Supervision with Arbitrary Single Frame for Micro- and Macro-expression Spotting

no code implementations • 21 Mar 2024 • Wang-Wang Yu, Xian-Shi Zhang, Fu-Ya Luo, Yijun Cao, Kai-Fu Yang, Hong-Mei Yan, Yong-Jie Li

Frame-level micro- and macro-expression spotting methods require time-consuming frame-by-frame observation during annotation.

Contrastive Learning Pseudo Label

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Nighttime Thermal Infrared Image Colorization with Feedback-based Object Appearance Learning

1 code implementation • 24 Oct 2023 • Fu-Ya Luo, Shu-Lin Liu, Yi-Jun Cao, Kai-Fu Yang, Chang-Yong Xie, Yong liu, Yong-Jie Li

Extensive experiments illustrate that the proposed FoalGAN is not only effective for appearance learning of small objects, but also outperforms other image translation methods in terms of semantic preservation and edge consistency for the NTIR2DC task.

Colorization Generative Adversarial Network +2

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Memory-Guided Collaborative Attention for Nighttime Thermal Infrared Image Colorization

1 code implementation • 5 Aug 2022 • Fu-Ya Luo, Yi-Jun Cao, Kai-Fu Yang, Yong-Jie Li

Nighttime thermal infrared (NTIR) image colorization, also known as translation of NTIR images into daytime color images (NTIR2DC), is a promising research direction to facilitate nighttime scene perception for humans and intelligent systems under unfavorable conditions (e. g., complete darkness).

Colorization Generative Adversarial Network +5

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