Zobrazeno 1 - 9
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pro vyhledávání: '"Wu, Tianhe"'
While Multimodal Large Language Models (MLLMs) have experienced significant advancement in visual understanding and reasoning, their potential to serve as powerful, flexible, interpretable, and text-driven models for Image Quality Assessment (IQA) re
Externí odkaz:
http://arxiv.org/abs/2403.10854
Autor:
Wu, Tianhe, Shi, Shuwei, Cai, Haoming, Cao, Mingdeng, Xiao, Jing, Zheng, Yinqiang, Yang, Yujiu
Blind Omnidirectional Image Quality Assessment (BOIQA) aims to objectively assess the human perceptual quality of omnidirectional images (ODIs) without relying on pristine-quality image information. It is becoming more significant with the increasing
Externí odkaz:
http://arxiv.org/abs/2305.10983
Autor:
Lao, Shanshan, Gong, Yuan, Shi, Shuwei, Yang, Sidi, Wu, Tianhe, Wang, Jiahao, Xia, Weihao, Yang, Yujiu
Image quality assessment (IQA) algorithm aims to quantify the human perception of image quality. Unfortunately, there is a performance drop when assessing the distortion images generated by generative adversarial network (GAN) with seemingly realisti
Externí odkaz:
http://arxiv.org/abs/2204.10485
Autor:
Yang, Sidi, Wu, Tianhe, Shi, Shuwei, Lao, Shanshan, Gong, Yuan, Cao, Mingdeng, Wang, Jiahao, Yang, Yujiu
No-Reference Image Quality Assessment (NR-IQA) aims to assess the perceptual quality of images in accordance with human subjective perception. Unfortunately, existing NR-IQA methods are far from meeting the needs of predicting accurate quality scores
Externí odkaz:
http://arxiv.org/abs/2204.08958
Akademický článek
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Akademický článek
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Autor:
Zhu, Shining, Cui, Tiejun, Luo, Xiangang, Zhang, Long, Chen, Longxiang, Zhao, Zhenlin, Fu, Zixiang, Lin, Hao, Wu, Tianhe, Xie, Shusen, Lu, Qijing
Publikováno v:
Proceedings of SPIE; May 2023, Vol. 12711 Issue: 1 p127110Z-127110Z-5, 1143996p
Publikováno v:
Proceedings of SPIE; 3/26/2023, Vol. 12482, p127110Z-127110Z-5, 1p
Autor:
Wu T; Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia 30322, United States., Liu C; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland 21205, United States., Thamizhchelvan AM; Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia 30322, United States., Fleischer C; Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia 30322, United States., Peng X; Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, Jiangsu 210009, China., Liu G; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland 21205, United States.; Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States., Mao H; Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia 30322, United States.
Publikováno v:
Chemical & biomedical imaging [Chem Biomed Imaging] 2023 Apr 12; Vol. 1 (2), pp. 121-139. Date of Electronic Publication: 2023 Apr 12 (Print Publication: 2023).