Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Siddeshwar, A."'
Autor:
Ma, Jinge, Zhang, Xiaoyan, Vinod, Gautham, Raghavan, Siddeshwar, He, Jiangpeng, Zhu, Fengqing
Food portion estimation is crucial for monitoring health and tracking dietary intake. Image-based dietary assessment, which involves analyzing eating occasion images using computer vision techniques, is increasingly replacing traditional methods such
Externí odkaz:
http://arxiv.org/abs/2411.10492
Autor:
Chen, Yuhao, He, Jiangpeng, Vinod, Gautham, Raghavan, Siddeshwar, Czarnecki, Chris, Ma, Jinge, Mahmud, Talha Ibn, Coburn, Bruce, Mao, Dayou, Nair, Saeejith, Xi, Pengcheng, Wong, Alexander, Delp, Edward, Zhu, Fengqing
Food computing is both important and challenging in computer vision (CV). It significantly contributes to the development of CV algorithms due to its frequent presence in datasets across various applications, ranging from classification and instance
Externí odkaz:
http://arxiv.org/abs/2409.01966
A significant challenge in achieving ubiquitous Artificial Intelligence is the limited ability of models to rapidly learn new information in real-world scenarios where data follows long-tailed distributions, all while avoiding forgetting previously a
Externí odkaz:
http://arxiv.org/abs/2404.04476
Food image classification is essential for monitoring health and tracking dietary in image-based dietary assessment methods. However, conventional systems often rely on static datasets with fixed classes and uniform distribution. In contrast, real-wo
Externí odkaz:
http://arxiv.org/abs/2301.05246
Autor:
Mu, Fangzhou, Mo, Sicheng, Peng, Jiayong, Liu, Xiaochun, Nam, Ji Hyun, Raghavan, Siddeshwar, Velten, Andreas, Li, Yin
Computational approach to imaging around the corner, or non-line-of-sight (NLOS) imaging, is becoming a reality thanks to major advances in imaging hardware and reconstruction algorithms. A recent development towards practical NLOS imaging, Nam et al
Externí odkaz:
http://arxiv.org/abs/2205.01679
Autor:
Peng, Jiayong, Mu, Fangzhou, Nam, Ji Hyun, Raghavan, Siddeshwar, Li, Yin, Velten, Andreas, Xiong, Zhiwei
Non-line-of-sight (NLOS) imaging is based on capturing the multi-bounce indirect reflections from the hidden objects. Active NLOS imaging systems rely on the capture of the time of flight of light through the scene, and have shown great promise for t
Externí odkaz:
http://arxiv.org/abs/2109.07783
Publikováno v:
IEEE Access, Vol 12, Pp 154310-154336 (2024)
Employing Artificial Intelligence techniques to address challenges in requirements elicitation is gaining traction. Although nine systematic literature reviews have been published on AI-based solutions in the requirements elicitation domain, to our k
Externí odkaz:
https://doaj.org/article/babfeed10d1d49d99ba79d720197c1e5
Akademický článek
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Autor:
Thangapandian, P., Paulsingarayar, S., Chandraprakash, R., Seenivasan, S., Vimal Kannan, I., Siddeshwar, S.A.
Publikováno v:
Journal of Physics: Conference Series; 2024, Vol. 2925 Issue 1, p1-12, 12p
Akademický článek
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