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Akademický článek

Learning Camera Parameters With Weighted Edge Attention From Single-View Images

Autor: Moonsoo Jeong, Hyogeun Byun, Sungkil Lee

Publikováno v: IEEE Access, Vol 11, Pp 16896-16906 (2023)

This paper presents a novel Deep Learning (DL) model that estimates camera parameters, including camera rotations, field of view, and distortion parameter, from single-view images. The classical approach often analyzes geometric cues such as vanishin

Externí odkaz: https://doaj.org/article/e2fd4e711cb1450d9bb74a1423f38686

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Akademický článek

Prediction of Specific Anxiety Symptoms and Virtual Reality Sickness Using In Situ Autonomic Physiological Signals During Virtual Reality Treatment in Patients With Social Anxiety Disorder: Mixed Methods Study

Autor: Joo Young Chun, Hyun-Jin Kim, Ji-Won Hur, Dooyoung Jung, Heon-Jeong Lee, Seung Pil Pack, Sungkil Lee, Gerard Kim, Chung-Yean Cho, Seung-Moo Lee, Hyeri Lee, Seungmoon Choi, Taesu Cheong, Chul-Hyun Cho

Publikováno v: JMIR Serious Games, Vol 10, Iss 3, p e38284 (2022)

BackgroundSocial anxiety disorder (SAD) is the fear of social situations where a person anticipates being evaluated negatively. Changes in autonomic response patterns are related to the expression of anxiety symptoms. Virtual reality (VR) sickness ca

Externí odkaz: https://doaj.org/article/fa40e4ef0cb44ec584c7c83abed9781e

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Efficient single-pair all-shortest-path query processing for massive dynamic networks

Autor: Sun Geol Baek, Sungkil Lee, Young Ik Eom

Publikováno v: Information Sciences. 546:1306-1327

The single-pair all-shortest-path problem is to find all possible shortest paths, given a single source-destination pair in a graph. Due to the lack of efficient algorithms for single-pair all-shortest-path problem, many applications used diverse typ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3c7d369fd3e57b518c42afccf93f050f
https://doi.org/10.1016/j.ins.2020.08.111

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