Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Hanhe Lin"'
Publikováno v:
Big Data Mining and Analytics, Vol 7, Iss 3, Pp 828-842 (2024)
Accurately diagnosing Alzheimer’s disease is essential for improving elderly health. Meanwhile, accurate prediction of the mini-mental state examination score also can measure cognition impairment and track the progression of Alzheimer’s disease.
Externí odkaz:
https://doaj.org/article/2ffa80bb3a8243c49ce8ea7b9e67c65d
Autor:
Xin Zhao, Jianxun Lou, Xinbo Wu, Yingying Wu, Lucie Leveque, Xiaochang Liu, Pengfei Guo, Yipeng Qin, Hanhe Lin, Dietmar Saupe, Hantao Liu
Publikováno v:
IEEE Access, Vol 11, Pp 58025-58036 (2023)
Visual saliency prediction remains an academic challenge due to the diversity and complexity of natural scenes as well as the scarcity of eye movement data on where people look in images. In many practical applications, digital images are inevitably
Externí odkaz:
https://doaj.org/article/ec7680478e0845baaa26aec08bb518a6
Publikováno v:
IEEE Access, Vol 9, Pp 72139-72160 (2021)
Video quality assessment (VQA) methods focus on particular degradation types, usually artificially induced on a small set of reference videos. Hence, most traditional VQA methods under-perform in-the-wild. Deep learning approaches have had limited su
Externí odkaz:
https://doaj.org/article/54d893196436467fa9027f3b5bd18152
Publikováno v:
IEEE Access, Vol 9, Pp 138939-138975 (2021)
In subjective full-reference image quality assessment, a reference image is distorted at increasing distortion levels. The differences between perceptual image qualities of the reference image and its distorted versions are evaluated, often using deg
Externí odkaz:
https://doaj.org/article/aab6e9044bd5407aa9824f372fffb87b
Publikováno v:
IEEE Access, Vol 8, Pp 162073-162084 (2020)
Automated detection of motorcycle helmet use through video surveillance can facilitate efficient education and enforcement campaigns that increase road safety. However, existing detection approaches have a number of shortcomings, such as the inabilit
Externí odkaz:
https://doaj.org/article/d91ec4e56ab34717873cbdbf3a9273d4
Autor:
Jianxun Lou, Hanhe Lin, Philippa Young, Richard White, Zelei Yang, Susan Shelmerdine, David Marshall, Emiliano Spezi, Marco Palombo, Hantao Liu
Publikováno v:
IEEE Transactions on Multimedia. :1-14
Publikováno v:
Neurocomputing. 494:455-467
Visual saliency prediction using transformers - Convolutional neural networks (CNNs) have significantly advanced computational modelling for saliency prediction. However, accurately simulating the mechanisms of visual attention in the human cortex re
Publikováno v:
Abstracts.
Autor:
Frederik Boe Hüttel, Christoffer Riis, Jakob Kristensen, Oguzhan Gül, Kira Hyldekær Janstrup, Hanhe Lin, Francisco Camara Pereira, Felix Wilhelm Siebert
Publikováno v:
Abstracts.
Autor:
Jianxun Lou, Hanhe Lin, David Marshall, Richard White, Young Yang, Susan Shelmerdine, Hantao Liu
Publikováno v:
29th IEEE International Conference on Image Processing (IEEE ICIP)