cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
title: ÐÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ°Ð±Ð¾ÑÑ ÑÐ¸ÑÑÐµÐ¼Ñ Ð¿Ð¾Ð´Ð´ÐµÑÐ¶ÐºÐ¸ Ð´ÐµÑÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸ Ð¾Ð¿ÐµÑÐ°ÑÐ¾ÑÐ¾Ð² ÑÐ²ÑÐ·Ð¸ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð¸Ð¼Ð¸ÑÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð³Ð¾ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
Creators: name: ÐÐ²Ð°Ð½Ð¾Ð²Ð°, ÐÐ°ÑÐ¸Ð½Ð°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2018
Subjects: ÐÐ°ÑÐµÐ¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ðµ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ
ÐÑÑÐ¸ÑÐ»Ð¸ÑÐµÐ»ÑÐ½ÑÐµ Ð¼Ð°ÑÐ¸Ð½Ñ ÑÐ»ÐµÐºÑÑÐ¾Ð½Ð½ÑÐµ Ð¿ÐµÑÑÐ¾Ð½Ð°Ð»ÑÐ½ÑÐµ
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description: ÐÐ°Ð³Ð¸ÑÑÐµÑÑÐºÐ°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ Ð¸Ð¼Ð¸ÑÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð³Ð¾ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð´Ð»Ñ Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÐ°Ð±Ð¾ÑÑ ÑÐ¸ÑÑÐµÐ¼ Ð¿Ð¾Ð´Ð´ÐµÑÐ¶ÐºÐ¸ Ð´ÐµÑÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸ Ð¾Ð¿ÐµÑÐ°ÑÐ¾ÑÐ¾Ð² ÑÐ²ÑÐ·Ð¸. ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¾ ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ðµ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½ÑÑ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ. ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½ Ð¾Ð±Ð·Ð¾Ñ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ Ð¸Ð¼Ð¸ÑÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð³Ð¾ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð² ÑÐµÐ»ÐµÐºÐ¾Ð¼Ð¼ÑÐ½Ð¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÑÐµÑÐµ. ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¾ ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ðµ Ð¸Ð½ÑÑÑÑÐ¼ÐµÐ½ÑÐ¾Ð² Ð´Ð»Ñ Ð¸Ð¼Ð¸ÑÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð³Ð¾ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¸ Ð²ÑÐ±ÑÐ°Ð½ AnyLogic. ÐÐ¿Ð¸ÑÐ°Ð½Ð° Ð°ÑÑÐ¸ÑÐµÐºÑÑÑÐ° OSS/BSS ÑÐ¸ÑÑÐµÐ¼Ñ Ð¸ Ð¿ÑÐµÐ´ÑÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð² Ð½ÐµÐ¹ Ð±Ð¸Ð·Ð½ÐµÑ-ÑÑÐµÐ½Ð°ÑÐ¸ÐµÐ². ÐÐ¿Ð¸ÑÐ°Ð½Ñ Ð½ÐµÐ¾Ð±ÑÐ¾Ð´Ð¸Ð¼ÑÐµ Ð´Ð»Ñ Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð¸Ñ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÑ. ÐÐ»Ñ ÑÐ°ÑÑÐ¸ Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½ Ð²ÑÐ±Ð¾Ñ Ð½Ð°Ð¸Ð»ÑÑÑÐµÐ³Ð¾ ÑÐ°ÑÐ¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ ÑÐ¾Ð±ÑÐ°Ð½Ð½Ð¾Ð¹ ÑÑÐ°ÑÐ¸ÑÑÐ¸ÐºÐ¸, Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÑ Ð¼ÐµÑÐ¾Ð´ Ð¼Ð°ÐºÑÐ¸Ð¼Ð°Ð»ÑÐ½Ð¾Ð³Ð¾ Ð¿ÑÐ°Ð²Ð´Ð¾Ð¿Ð¾Ð´Ð¾Ð±Ð¸Ñ Ð¸ ÑÐµÑÑ ÐÐ¾Ð»Ð¼Ð¾Ð³Ð¾ÑÐ¾Ð²Ð°-Ð¡Ð¼Ð¸ÑÐ½Ð¾Ð²Ð°.
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The Marginalized Identities of Sense-makers: Reframing Engineering Student Retention
Creators: name: Danielak, Brian A.
name: Gupta, Ayush
name: Elby, Andrew
Publisher: name: arXiv
Year: 2010
Subjects: subject: Physics Education (physics.ed-ph)
subject: FOS: Physical sciences

description: This paper empirically argues for a closer examination of what we wish to retain when we speak of "retention" in engineering [1]. We present and interpret data from clinical interviews and classroom video of "Michael," a student who feels marginalized by an engineering program that undervalues him because of his stance toward knowledge [2],[3]. Michael is a sophomore Electrical Engineering and Mathematics major in a Basic Circuits course. In his own words, he's a "fringe" student because of his robust tendency to try making sense of the concepts being taught rather than memorizing formulae. He also feels alienated because he views learning in terms of argument and intuition, not algorithm and rote acceptance. Furthermore, for Michael the practice of sense-making defines him; it's an integral aspect of his identity [4]. Thus, Michael's self-reported sense of alienation resonates strongly with existing identity-based accounts of students leaving the field [5],[6]. We contend the field of engineering suffers if individuals like Michael don't pursue it. Through this case study of Michael, we urge the retention discussion to consider not just the demographic categories of people we hope to keep, but also the approaches to knowledge, learning, and problem-solving we aim to support.
description: 6-page; Under Review for Proceedings of the 2010 Frontiers in Education Conference (ASEE/IEEE)
Peripheral Vision in Simulated Driving: Comparing CAVE and Head-mounted Display
Creators: name: Tanoi, Tana
name: Dodgson, Neil A.
Publisher: name: The Eurographics Association
Year: 2021
Subjects: Computing methodologies
Virtual reality
Software and its engineering
Virtual worlds software

description: Peripheral vision is widely thought to be important but is not provided in the majority of head-mounted displays (HMD). We investigate whether peripheral vision is important in a simulated driving task. Our hypothesis is that subjects will be able to complete the task more quickly if they use their peripheral vision. We compared subject performance in a CAVE environment, with 270° field-of-view (so automatic peripheral vision) and in a HMD, with 110° field-of-view (so no peripheral vision but the ability to turn the head). Our results show almost no statistically significant differences between the two conditions. This contrasts with the opinions of our subjects: our expert users, in early tests, commented that peripheral vision helped in the task and the majority of our naïve subjects believed that the lack of peripheral vision in the HMD hindered them in the task.
description: Pacific Graphics Short Papers, Posters, and Work-in-Progress Papers
description: Works-In-Progress and Posters
description: 67
description: 68
description: Tana Tanoi and Neil A. Dodgson
description: CCS Concepts: Computing methodologies --> Virtual reality; Software and its engineering --> Virtual worlds software
Additional file 2: of Bloodstream infections caused by Klebsiella pneumoniae: prevalence of blaKPC, virulence factors and their impacts on clinical outcome
Creators: name: Xu, Min
name: Fu, Yiqi
name: Kong, Haishen
name: Chen, Xiao
name: Chen, Yu
name: Li, Lanjuan
name: Yang, Qing
Publisher: name: figshare
Year: 2018
Subjects: subject: Space Science
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Chemical Sciences not elsewhere classified
subject: Science Policy
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology
subject: Computational Biology

description: Table S2. Factors associated with hypermucoviscosity phenotype in K. pneumoniae isolated from BSIs. (DOCX 16 kb)
title: Ð£Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ðµ ÑÐ¸Ð½Ð°Ð½ÑÐ¾Ð²ÑÐ¼Ð¸ ÑÐ¸ÑÐºÐ°Ð¼Ð¸ Ð² ÑÑÑÐ°ÑÐµÐ³Ð¸ÑÐµÑÐºÐ¾Ð¼ Ð±ÑÐ´Ð¶ÐµÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ð¸ (Ð½Ð° Ð¿ÑÐ¸Ð¼ÐµÑÐµ ÐÐÐ Â«ÐÐ»ÑÑÐ­Ð»ÑÂ»)
title: Ð¼Ð°Ð³Ð¸ÑÑÐµÑÑÐºÐ°Ñ Ð´Ð¸ÑÑÐµÑÑÐ°ÑÐ¸Ñ
titleType: Subtitle
Creators: name: ÐÐµÐ»ÑÐ³Ð¸Ð½Ð°, ÐÑÐ¸Ð½Ð°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2017
Subjects: Ð±ÑÐ´Ð¶ÐµÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ
ÑÐ¸Ð½Ð°Ð½ÑÐ¾Ð²ÑÐµ ÑÐ¸ÑÐºÐ¸
ÑÑÑÐ°ÑÐµÐ³Ð¸ÑÐµÑÐºÐ¾Ðµ Ð¿Ð»Ð°Ð½Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ
ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½ÑÐµÑÐºÐ¸Ð¹ ÑÑÐµÑ
Ð¾ÑÐµÐ½ÐºÐ° ÑÐ¸ÑÐºÐ¾Ð²

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title: ÐÑÐ³Ð°Ð½Ð¸Ð·Ð°ÑÐ¸Ð¾Ð½Ð½Ð¾-Ð¿ÐµÐ´Ð°Ð³Ð¾Ð³Ð¸ÑÐµÑÐºÐ¸Ðµ Ð¾ÑÐ½Ð¾Ð²Ñ Ð¿Ð¾Ð´Ð³Ð¾ÑÐ¾Ð²ÐºÐ¸ ÑÑÑÐ´ÐµÐ½ÑÐ¾Ð² Ðº Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ñ Ð½Ð¾ÑÐ¼ Ð¸ ÑÑÐµÐ±Ð¾Ð²Ð°Ð½Ð¸Ð¹ ÑÐ¸Ð·ÐºÑÐ»ÑÑÑÑÐ½Ð¾-ÑÐ¿Ð¾ÑÑÐ¸Ð²Ð½Ð¾Ð³Ð¾ ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑÐ° (ÐÐ¢Ð)
title: ÑÑÐµÐ±Ð½Ð¾Ðµ Ð¿Ð¾ÑÐ¾Ð±Ð¸Ðµ
titleType: Subtitle
Creators: name: Ð¡ÑÑÐµÐ½ÐºÐ¾, ÐÐ°Ð»ÐµÑÐ¸Ð¹
name: Ð©ÐµÐ³Ð¾Ð»ÐµÐ², ÐÐ°Ð»ÐµÑÐ¸Ð¹
name: ÐÐ°ÐºÐ°ÐµÐ², ÐÐ»Ð°Ð´Ð¸ÑÐ»Ð°Ð²
name: ÐÐ¾Ð»Ð¾ÑÐ¸Ð½, ÐÐ»ÐµÐºÑÐ°Ð½Ð´Ñ
name: ÐÐ°ÑÐ¸Ð»ÑÐµÐ²Ð°, ÐÐ°Ð»ÐµÑÐ¸Ñ
Publisher: name: ÐÐ·Ð´-Ð²Ð¾ ÐÐ¾Ð»Ð¸ÑÐµÑÐ½. ÑÐ½-ÑÐ°
Year: 2017
Subjects: ÑÐ¸Ð·ÐºÑÐ»ÑÑÑÑÐ½Ð¾-ÑÐ¿Ð¾ÑÑÐ¸Ð²Ð½ÑÐ¹ ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑ ÐÐ¢Ð
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Gallup Poll # 1968-0765: 1968 Presidential Election
Creators: name: Gallup
Publisher: name: Roper Center for Public Opinion Research
Year: 2021

description: President Lyndon B. Johnson job performance (1); 1968 presidential election (16); most important problem facing the country (1); political party best able to handle problems (1); voting age (1); Vietnam and the election (1); biggest threat to country's future (1); presidential candidates chosen by voters/political parties (1); political leaders/parties job performance (10); attend movies (1); political party to win election (1); attend church in the last 7 days (1).
title: Ð­ÐºÐ¾Ð½Ð¾Ð¼ÐµÑÑÐ¸ÑÐµÑÐºÐ¾Ðµ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ¾ÑÐ¸Ð°Ð»ÑÐ½Ð¾-ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐµÑÐºÐ¸Ñ ÑÐ¸ÑÑÐµÐ¼
title: ÑÑÐµÐ±Ð½Ð¾Ðµ Ð¿Ð¾ÑÐ¾Ð±Ð¸Ðµ
titleType: Subtitle
Creators: name: Ð ÑÑÐ¾Ð²Ð°, ÐÐ»ÐµÐ½Ð°
name: Ð¡ÑÐ²ÐµÐ´Ð¸Ð°Ð½Ð¸, ÐÐ½Ð³Ð¸
Publisher: name: ÐÐÐÐÐ¢ÐÐ¥-ÐÐ ÐÐ¡Ð¡
Year: 2021
Subjects: Ð­ÐºÐ¾Ð½Ð¾Ð¼ÐµÑÑÐ¸ÐºÐ°
ÐÑÑÐ¸ÑÐ»Ð¸ÑÐµÐ»ÑÐ½ÑÐµ Ð¼Ð°ÑÐ¸Ð½Ñ ÑÐ»ÐµÐºÑÑÐ¾Ð½Ð½ÑÐµ
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description: Ð ÑÑÐµÐ±Ð½Ð¾Ð¼ Ð¿Ð¾ÑÐ¾Ð±Ð¸Ð¸ Ð¸Ð·Ð»Ð¾Ð¶ÐµÐ½Ñ ÑÐµÐ¾ÑÐµÑÐ¸ÑÐµÑÐºÐ¸Ðµ Ð¾ÑÐ½Ð¾Ð²Ñ ÑÐµÐ³ÑÐµÑÑÐ¸Ð¾Ð½Ð½Ð¾Ð³Ð¾ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¸ Ð¿ÑÐ¸Ð²ÐµÐ´ÐµÐ½Ñ Ð¿ÑÐ°ÐºÑÐ¸ÑÐµÑÐºÐ¸Ðµ Ð¿ÑÐ¸Ð¼ÐµÑÑ ÐµÐ³Ð¾ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð² ÑÑÐ°ÑÐ¸ÑÑÐ¸ÑÐµÑÐºÐ¾Ð¼ Ð¿Ð°ÐºÐµÑÐµ STATA MP15.
Ð£ÑÐµÐ±Ð½Ð¾Ðµ Ð¿Ð¾ÑÐ¾Ð±Ð¸Ðµ Ð¿ÑÐµÐ´Ð½Ð°Ð·Ð½Ð°ÑÐµÐ½Ð¾ Ð´Ð»Ñ ÑÑÑÐ´ÐµÐ½ÑÐ¾Ð² Ð²ÑÐµÑ ÑÐ¾ÑÐ¼ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð¼Ð°Ð³Ð¸ÑÑÐµÑÑÐºÐ¸Ñ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼, ÑÐµÐ°Ð»Ð¸Ð·ÑÐµÐ¼ÑÑ Ð² ÑÐ°Ð¼ÐºÐ°Ñ ÑÐ»ÐµÐ´ÑÑÑÐ¸Ñ Ð½Ð°Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ð¹: 38.04.01 Â«Ð­ÐºÐ¾Ð½Ð¾Ð¼Ð¸ÐºÐ°Â», 38.04.04 Â«ÐÐ¾ÑÑÐ´Ð°ÑÑÑÐ²ÐµÐ½Ð½Ð¾Ðµ Ð¸ Ð¼ÑÐ½Ð¸ÑÐ¸Ð¿Ð°Ð»ÑÐ½Ð¾Ðµ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸ÐµÂ», 27.04.07 Â«ÐÐ°ÑÐºÐ¾ÐµÐ¼ÐºÐ¸Ðµ ÑÐµÑÐ½Ð¾Ð»Ð¾Ð³Ð¸Ð¸ Ð¸ ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÐºÐ° Ð¸Ð½Ð½Ð¾Ð²Ð°ÑÐ¸Ð¹Â»,
01.04.05 Â«Ð¡ÑÐ°ÑÐ¸ÑÑÐ¸ÐºÐ°Â».
description: The manual provides a theoretical basis for conducting regression modelling and
practical examples at STATA MP15 statistical package. This manual can be used by students of all forms of studying of the master programs, realized at the following educational directions: 38.04.01 Â«EconomicsÂ», 38.04.04 Â«State and municipal governanceÂ», 27.04.07 Â«Science-intensive technologies and economics of innovationÂ», 01.04.05 Â«StatisticsÂ».
title: ÐÐ¸Ð·Ð½ÐµÑ-ÑÐµÐ½ÑÑ Ð² ÑÑÐ¸Ð»Ðµ Â«ÐÐµÐºÐ¾Ð½ÑÑÑÑÐºÑÐ¸Ð²Ð¸Ð·Ð¼Â»
title: Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÑÐºÐ°Ñ ÑÐ°Ð±Ð¾ÑÐ°
titleType: Subtitle
Creators: name: ÐÐ²Ð°Ð½Ð¾Ð², ÐÑÐ¸Ð³Ð¾ÑÐ¸Ð¹
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2016
Subjects: Ð±Ð¸Ð·Ð½ÐµÑ-ÑÐµÐ½ÑÑ
Ð´ÐµÐºÐ¾Ð½ÑÑÑÑÐºÑÐ¸Ð²Ð¸Ð·Ð¼
Ð´Ð¸Ð·Ð°Ð¹Ð½
ÐºÐ¾Ð½ÑÑÑÑÐºÑÐ¸Ð²Ð½Ð°Ñ ÑÑ ÐµÐ¼Ð°

description: Ð ÑÐ¾Ð´Ðµ Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ñ Ð·Ð°Ð´Ð°Ð½Ð¸Ñ Ð½Ð° Ð¿ÑÐ¾ÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð±ÑÐ»Ð¸ Ð·Ð°Ð´ÑÐ¼Ð°Ð½Ñ Ð¸ ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ñ Ð¾Ð±ÑÐµÐ¼Ð½Ð¾-Ð¿Ð»Ð°Ð½Ð¸ÑÐ¾Ð²Ð¾ÑÐ½ÑÐµ ÑÐµÑÐµÐ½Ð¸Ñ Ð·Ð´Ð°Ð½Ð¸Ñ Ð±Ð¸Ð·Ð½ÐµÑ-ÑÐµÐ½ÑÑÐ°, ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð° ÑÑÐµÐ¼Ð° Ð¿Ð»Ð°Ð½Ð¸ÑÐ¾Ð²ÐºÐ¸ Ð·ÐµÐ¼ÐµÐ»ÑÐ½Ð¾Ð³Ð¾ ÑÑÐ°ÑÑÐºÐ°, Ð¿ÑÐ¸Ð½ÑÑÑ ÑÐµÐ»ÐµÑÐ¾Ð¾Ð±ÑÐ°Ð·Ð½ÑÐµ ÐºÐ¾Ð½ÑÑÑÑÐºÑÐ¸Ð²Ð½ÑÐµ ÑÐµÑÐµÐ½Ð¸Ñ, ÑÐ¾Ð·Ð´Ð°Ð½Ð° Ð¼Ð¾Ð´ÐµÐ»Ñ Ð·Ð´Ð°Ð½Ð¸Ñ Ð² SCAD, Ð¿ÑÐ¾Ð¸Ð·Ð²ÐµÐ´ÐµÐ½ ÑÐ°ÑÑÐµÑ Ð·Ð´Ð°Ð½Ð¸Ñ Ð½Ð° Ð½Ð°Ð³ÑÑÐ·ÐºÐ¸, ÑÐ°ÑÑÑÐ¸ÑÐ°Ð½Ð° ÑÑÐµÐ¼Ð° Ð°ÑÐ¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ, ÑÐ¾ÑÑÐ°Ð²Ð»ÐµÐ½ Ð¿ÑÐ¾ÐµÐºÑ Ð¾ÑÐ³Ð°Ð½Ð¸Ð·Ð°ÑÐ¸Ð¸ ÑÑÑÐ¾Ð¸ÑÐµÐ»ÑÑÑÐ²Ð° Ñ ÐºÐ°Ð»ÐµÐ½Ð´Ð°ÑÐ½ÑÐ¼ Ð¿Ð»Ð°Ð½Ð¾Ð¼, Ð³ÑÐ°ÑÐ¸ÐºÐ¾Ð¼ Ð´Ð²Ð¸Ð¶ÐµÐ½Ð¸Ñ ÑÐ°Ð±Ð¾ÑÐ¸Ñ Ð¸ ÑÑÑÐ¾Ð¸ÑÐµÐ»ÑÐ½ÑÐ¼ Ð³ÐµÐ½ÐµÑÐ°Ð»ÑÐ½ÑÐ¼ Ð¿Ð»Ð°Ð½Ð¾Ð¼, Ð¿ÑÐµÐ´ÑÑÐ°Ð²Ð»ÐµÐ½Ñ ÑÐµÑÐµÐ½Ð¸Ñ Ð¿Ð¾ Ð¾ÑÑÐ°Ð½Ðµ Ð¾ÐºÑÑÐ¶Ð°ÑÑÐµÐ¹ ÑÑÐµÐ´Ñ, ÑÐ¾ÑÑÐ°Ð²Ð»ÐµÐ½Ð° ÑÐ²Ð¾Ð´Ð½Ð°Ñ Ð¸ Ð»Ð¾ÐºÐ°Ð»ÑÐ½ÑÐµ ÑÐ¼ÐµÑÑ Ð½Ð° ÑÑÑÐ¾Ð¸ÑÐµÐ»ÑÑÑÐ²Ð¾. Ð ÑÐ°Ð¼ÐºÐ°Ñ Ð¿ÑÐ¾ÐµÐºÑÐ° ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ ÑÐµÑÑÐ¾ÑÐ°Ð½ Ð½Ð° 200 Ð¿Ð¾ÑÐ°Ð´Ð¾ÑÐ½ÑÑ Ð¼ÐµÑÑ. ÐÑÑÐ¸ÑÐµÐºÑÑÑÐ½ÑÐµ ÑÐµÑÐµÐ½Ð¸Ñ Ð¿ÑÐ¾ÐµÐºÑÐ° Ð¿ÑÐ¸Ð½ÑÑÐ¾ Ð²ÑÐ¿Ð¾Ð»Ð½Ð¸ÑÑ Ð² ÑÐ¾Ð²ÑÐµÐ¼ÐµÐ½Ð½Ð¾Ð¼ Ð°ÑÑÐ¸ÑÐµÐºÑÑÑÐ½Ð¾Ð¼ ÑÑÐ¸Ð»Ðµ Â«ÐÐµÐºÐ¾Ð½ÑÑÑÑÐºÑÐ¸Ð²Ð¸Ð·Ð¼Â» Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ ÐºÐ¾Ð½ÑÐ¾Ð»Ð¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÑ ÑÑÐ°Ð¶ÐµÐ¹, ÑÐ°ÑÐ°Ð´Ð½ÑÑ ÑÐµÑÐµÐ½Ð¸Ð¹ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼, Ð¿ÑÐµÐ¸Ð¼ÑÑÐµÑÑÐ²ÐµÐ½Ð½Ð¾, ÑÐ²ÐµÑÐ¾Ð¿ÑÐ¾Ð·ÑÐ°ÑÐ½ÑÑ ÐºÐ¾Ð½ÑÑÑÑÐºÑÐ¸Ð¹ Ñ ÐºÐ°ÑÐºÐ°ÑÐ¾Ð¼ Ð¸Ð· Ð°Ð»ÑÐ¼Ð¸Ð½Ð¸Ñ.
SDALIE-GAN: Structure and Detail Aware GAN for Low-light Image Enhancement
Creators: name: Pang, Youxin
name: Yuan, Mengke
name: Chang, Yuchun
name: Yan, Dong-Ming
Publisher: name: The Eurographics Association
Year: 2021
Subjects: Computing methodologies
Computational photography

description: We present a GAN-based network architecture for low-light image enhancement, called Structure and Detail Aware Low-light Image Enhancement GAN (SDALIE-GAN), which is trained with unpaired low/normal-light images. Specifically, complementary Structure Aware Generator (SAG) and Detail Aware Generator (DAG) are designed respectively to generate an enhanced low-light image. Besides, intermediate features from SAG and DAG are integrated through guided map supervised feature attention fusion module, and regularizes the generated samples with an appended intensity adjusting module. We demonstrate the advantages of the proposed approach by comparing it with state-of-the-art low-light image enhancement methods.
description: Pacific Graphics Short Papers, Posters, and Work-in-Progress Papers
description: Works-In-Progress and Posters
description: 69
description: 70
description: Youxin Pang, Mengke Yuan, Yuchun Chang, and Dong-Ming Yan
description: CCS Concepts: Computing methodologies --> Computational photography
title: ÐÑÐµÐ½ÐºÐ° ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ ÑÐ¸Ð½Ð°Ð½ÑÐ¾Ð²Ð¾-ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐµÑÐºÐ¸Ñ Ð¼ÐµÑ Ð°Ð½Ð¸Ð·Ð¼Ð¾Ð² Ð¿Ð¾Ð´Ð´ÐµÑÐ¶ÐºÐ¸ Ð¼Ð°Ð»Ð¾Ð³Ð¾ Ð±Ð¸Ð·Ð½ÐµÑÐ° (Ð½Ð° Ð¿ÑÐ¸Ð¼ÐµÑÐµ ÐÐÐ )
title: Ð¼Ð°Ð³Ð¸ÑÑÐµÑÑÐºÐ°Ñ Ð´Ð¸ÑÑÐµÑÑÐ°ÑÐ¸Ñ
titleType: Subtitle
Creators: name: Ð¥ÑÐ° ÐÑÐ¹
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2017
Subjects: Ð¼Ð°Ð»ÑÐ¹ Ð±Ð¸Ð·Ð½ÐµÑ
Ð¼ÐµÑÐ¾Ð´Ñ Ð¾ÑÐµÐ½ÐºÐ¸
Ð³Ð¾ÑÑÐ´Ð°ÑÑÑÐ²ÐµÐ½Ð½Ð°Ñ Ð¿Ð¾Ð´Ð´ÐµÑÐ¶ÐºÐ°

description: ÐÐ±ÑÐµÐºÑÐ¾Ð¼ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÐ²Ð»ÑÑÑÑÑ Ð¼ÐµÑÐ°Ð½Ð¸Ð·Ð¼Ñ Ð¿Ð¾Ð´Ð´ÐµÑÐ¶ÐºÐ¸ Ð¼Ð°Ð»Ð¾Ð³Ð¾ Ð±Ð¸Ð·Ð½ÐµÑÐ°. Ð¦ÐµÐ»Ñ Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¹ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ ÑÐ¾ÑÑÐ¾Ð¸Ñ Ð² Ð¾ÑÐµÐ½ÐºÐµ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ Ð¼ÐµÑÐ°Ð½Ð¸Ð·Ð¼Ð¾Ð² Ð¿Ð¾Ð´Ð´ÐµÑÐ¶ÐºÐ¸ Ð¼Ð°Ð»Ð¾Ð³Ð¾ Ð±Ð¸Ð·Ð½ÐµÑÐ° Ð² ÐÐÐ  Ð¸ ÑÐ¾ÑÐ¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð½Ð°Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ð¹ ÐµÐ³Ð¾ ÑÐ¾Ð²ÐµÑÑÐµÐ½ÑÑÐ²Ð¾Ð²Ð°Ð½Ð¸Ñ. Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð±ÑÐ»Ð¸ Ð²ÑÑÐ²Ð»ÐµÐ½Ñ Ð¾ÑÐ½Ð¾Ð²Ð½ÑÐµ Ð¾ÑÐ¾Ð±ÐµÐ½Ð½Ð¾ÑÑÐ¸ Ð¼Ð°Ð»Ð¾Ð³Ð¾ Ð¿ÑÐµÐ´Ð¿ÑÐ¸Ð½Ð¸Ð¼Ð°ÑÐµÐ»ÑÑÑÐ²Ð° Ð² ÐÐ¸ÑÐ°Ðµ; Ð±ÑÐ» Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½ ÑÑÐ°Ð²Ð½Ð¸ÑÐµÐ»ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐ¸Ð½Ð°Ð½ÑÐ¾Ð²Ð¾- ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐµÑÐºÐ¸Ñ Ð¼ÐµÑÐ°Ð½Ð¸Ð·Ð¼Ð¾Ð² Ð¿Ð¾Ð´Ð´ÐµÑÐ¶ÐºÐ¸ Ð¼Ð°Ð»Ð¾Ð³Ð¾ Ð¿ÑÐµÐ´Ð¿ÑÐ¸Ð½Ð¸Ð¼Ð°ÑÐµÐ»ÑÑÑÐ²Ð° Ð Ð¾ÑÑÐ¸Ð¸ Ð¸ ÐÐ¸ÑÐ°Ñ, Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð´Ð¸Ð½Ð°Ð¼Ð¸ÐºÐ¸ ÐÐÐ Ð¸ Ð¸Ð½Ð²ÐµÑÑÐ¸ÑÐ¸Ð¹ Ð² Ð¾ÑÐ½Ð¾Ð²Ð½Ð¾Ð¹ ÐºÐ°Ð¿Ð¸ÑÐ°Ð» Ð¾ÑÐµÐ½ÐµÐ½Ð° ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÑ Ð¿ÑÐµÐ´Ð¿ÑÐ¸Ð½Ð¸Ð¼Ð°ÑÐµÐ»ÑÑÐºÐ¾Ð¹ Ð´ÐµÑÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸ ÐÐÐ . ÐÑÐµ ÑÑÐ¾ Ð¿Ð¾Ð·Ð²Ð¾Ð»Ð¸Ð»Ð¾ ÑÑÐ¾ÑÐ¼ÑÐ»Ð¸ÑÐ¾Ð²Ð°ÑÑ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ð¸ Ð¿Ð¾ ÑÐ¾Ð²ÐµÑÑÐµÐ½ÑÑÐ²Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¼ÐµÑÐ°Ð½Ð¸Ð·Ð¼Ð° Ð¿Ð¾Ð´Ð´ÐµÑÐ¶ÐºÐ¸ Ð¼Ð°Ð»Ð¾Ð³Ð¾ Ð¿ÑÐµÐ´Ð¿ÑÐ¸Ð½Ð¸Ð¼Ð°ÑÐµÐ»ÑÑÑÐ²Ð° Ð² ÐÐÐ .
User-centred Depth Estimation Benchmarking for VR Content Creation from Single Images
Creators: name: Dickson, Anthony
name: Knott, Alistair
name: Zollmann, Stefanie
Publisher: name: The Eurographics Association
Year: 2021
Subjects: General and reference
Evaluation
Computing methodologies
Computer graphics
Neural networks
Computer vision

description: The capture and creation of 3D content from a device equipped with just a single RGB camera has a wide range of applications ranging from 3D photographs and panoramas to 3D video. Many of these methods rely on depth estimation models to provide the necessary 3D data, mainly neural network models. However, the metrics used to evaluate these models can be difficult to interpret and to relate to the quality of 3D/VR content derived from these models. In this work, we explore the relationship between the widely used depth estimation metrics, image similarly metrics applied to synthesised novel viewpoints, and user perception of quality and similarity on these novel viewpoints. Our results indicate that the standard metrics are indeed a good indicator of 3D quality, and that they correlate with human judgements and other metrics that are designed to follow human judgements.
description: Pacific Graphics Short Papers, Posters, and Work-in-Progress Papers
description: Works-In-Progress and Posters
description: 71
description: 72
description: Anthony Dickson, Alistair Knott, and Stefanie Zollmann
description: CCS Concepts: General and reference --> Evaluation; Computing methodologies --> Computer graphics; Neural networks; Computer vision
title: ÐÐµÐ¶Ð´ÑÐ½Ð°ÑÐ¾Ð´Ð½ÑÐµ ÑÑÐ°Ð½Ð´Ð°ÑÑÑ ÑÑÑÐ¾Ð¹ÑÐ¸Ð²Ð¾Ð³Ð¾ ÑÐ°Ð·Ð²Ð¸ÑÐ¸Ñ ÑÐ¾Ð¾Ð±ÑÐµÑÑÐ²
Creators: name: ÐÐ»ÑÑÐ¾Ð², ÐÐ»Ð°Ð´Ð¸Ð¼Ð¸Ñ
name: Ð Ð°ÑÐºÐ¾Ð²Ð°Ð»Ð¾Ð², ÐÐ»Ð°Ð´Ð¸ÑÐ»Ð°Ð²
name: ÐÑÐ·ÑÐ¼Ð¸Ð½Ð°, Ð¡Ð²ÐµÑÐ»Ð°Ð½Ð°
name: "Ð£Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ðµ ÐºÐ°ÑÐµÑÑÐ²Ð¾Ð¼ Ð² Ð¸Ð½ÑÐµÑÐµÑÐ°Ñ  ÑÑÑÐ¾Ð¹ÑÐ¸Ð²Ð¾Ð³Ð¾ ÑÐ°Ð·Ð²Ð¸ÑÐ¸Ñ", Ð¼ÐµÐ¶Ð²ÑÐ·Ð¾Ð²ÑÐºÐ°Ñ Ð½Ð°ÑÑÐ½Ð¾-Ð¿ÑÐ°ÐºÑÐ¸ÑÐµÑÐºÐ°Ñ ÐºÐ¾Ð½ÑÐµÑÐµÐ½ÑÐ¸Ñ (2019; Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³)
Publisher: name: ÐÐÐÐÐ¢ÐÐ¥-ÐÐ ÐÐ¡Ð¡
Year: 2019

description: ÐÐ²ÑÐ¾ÑÐ°Ð¼Ð¸ ÑÐ°ÑÑÐ¼Ð°ÑÑÐ¸Ð²Ð°ÐµÑÑÑ Ð¿Ð¾Ð½ÑÑÐ¸Ðµ ÑÑÑÐ¾Ð¹ÑÐ¸Ð²Ð¾Ð³Ð¾ ÑÐ°Ð·Ð²Ð¸ÑÐ¸Ñ ÑÐ¾Ð¾Ð±ÑÐµÑÑÐ² Ð¸ ÑÐ»ÐµÐ¼ÐµÐ½ÑÑ, Ð²ÑÐ¾Ð´ÑÑÐ¸Ðµ Ð² Ð´Ð°Ð½Ð½ÑÑ Ð´ÐµÑÐ¸Ð½Ð¸ÑÐ¸Ñ. ÐÐ½Ð°Ð»Ð¸Ð·Ð¸ÑÑÑÑÑÑ ÑÐ°ÐºÐ¸Ðµ Ð±Ð°Ð·Ð¾Ð²ÑÐµ ÑÐ¾ÑÑÐ°Ð²Ð»ÑÑÑÐ¸Ðµ ÐºÐ°Ðº ÐºÐ°ÑÐµÑÑÐ²Ð¾ Ð¶Ð¸Ð·Ð½Ð¸, ÐºÐ°ÑÐµÑÑÐ²Ð¾ Ð¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°Ð½Ð¸Ñ, ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ¾ÑÑ. ÐÑÐµÐ´ÑÑÐ°Ð²Ð»ÐµÐ½Ð° ÑÑÐ¸Ð°Ð´Ð° Â«Ð¿ÑÐ¸ÑÐ¾Ð´Ð°-ÑÐ¾Ð·ÑÐ¹ÑÑÐ²Ð¾-Ð½Ð°ÑÐµÐ»ÐµÐ½Ð¸ÐµÂ» Ð¸ ÑÐ°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ñ ÐºÐ¾Ð¼Ð¿Ð¾Ð½ÐµÐ½ÑÑ ÑÑÑÐ¾Ð¹ÑÐ¸Ð²Ð¾Ð³Ð¾ ÑÐ°Ð·Ð²Ð¸ÑÐ¸Ñ, Ñ ÑÑÐµÑÐ¾Ð¼ Ð¸Ñ Ð²Ð·Ð°Ð¸Ð¼Ð¾Ð²Ð»Ð¸ÑÐ½Ð¸Ñ Ð¸ Ð²Ð·Ð°Ð¸Ð¼Ð¾ÑÐ²ÑÐ·Ð¸. Ð¢Ð°ÐºÐ¶Ðµ Ð¿ÑÐµÐ´ÑÑÐ°Ð²Ð»ÐµÐ½Ð° Ð°Ð²ÑÐ¾ÑÑÐºÐ°Ñ ÑÐ¾ÑÐºÐ° Ð·ÑÐµÐ½Ð¸Ñ Ð½Ð° Ð¾ÑÐ¾Ð±ÐµÐ½Ð½Ð¾ÑÑÐ¸ Ð²Ð»Ð¸ÑÐ½Ð¸Ñ ÐºÐ¾Ð¼Ð¿Ð¾Ð½ÐµÐ½ÑÐ¾Ð² ÑÑÑÐ¾Ð¹ÑÐ¸Ð²Ð¾Ð³Ð¾ ÑÐ°Ð·Ð²Ð¸ÑÐ¸Ñ Ð½Ð° Ð¿Ð¾ÐºÐ°Ð·Ð°ÑÐµÐ»Ð¸ ÐºÐ°ÑÐµÑÑÐ²Ð° Ð¶Ð¸Ð·Ð½Ð¸ Ð¸ Ð¸Ñ Ð²Ð·Ð°Ð¸Ð¼Ð¾Ð·Ð°Ð²Ð¸ÑÐ¸Ð¼Ð¾ÑÑÑ Ñ ÐºÐ°ÑÐµÑÑÐ²Ð¾Ð¼ Ð¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¸ ÑÐ°Ð·Ð²Ð¸ÑÐ¸ÐµÐ¼ ÑÐ¾Ð¾Ð±ÑÐµÑÑÐ²Ð° Ð² ÑÐµÐ»Ð¾Ð¼. Ð ÐµÐ·ÑÐ»ÑÑÐ°ÑÑ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð½ÑÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ð¹, Ð¿Ð¾Ð·Ð²Ð¾Ð»ÑÑÑ ÑÑÑÐ°Ð½Ð¾Ð²Ð¸ÑÑ Ð²Ð¸Ð´Ñ Ð¸Ð½Ð½Ð¾Ð²Ð°ÑÐ¸Ð¹, Ð½ÐµÐ¾Ð±ÑÐ¾Ð´Ð¸Ð¼ÑÑ Ð´Ð»Ñ Ð´Ð¾ÑÑÐ¸Ð¶ÐµÐ½Ð¸Ñ ÑÑÐµÐ±ÑÐµÐ¼ÑÑ Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² ÐºÐ°ÑÐµÑÑÐ²Ð° Ð¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°Ð½Ð¸Ñ, ÐºÐ°ÑÐµÑÑÐ²Ð° Ð¶Ð¸Ð·Ð½Ð¸ Ð² Ð¸Ð½ÑÐµÑÐµÑÐ°Ñ ÑÑÑÐ¾Ð¹ÑÐ¸Ð²Ð¾Ð³Ð¾ ÑÐ°Ð·Ð²Ð¸ÑÐ¸Ñ ÑÐ¾Ð¾Ð±ÑÐµÑÑÐ².
Volumetric Video Streaming Data Reduction Method Using Front-mesh 3D Data
Creators: name: Zhao, Xiaotian
name: Okuyama, Takafumi
Publisher: name: The Eurographics Association
Year: 2021
Subjects: Information systems
Multimedia streaming
Computing methodologies
Image compression

description: Volumetric video contents are attracting much attention across various industries for their six-degrees-of-freedom (6DoF) viewing experience. However, in terms of streaming, volumetric video contents still present challenges such as high data volume and bandwidth consumption, which results in high stress on the network. To solve this issue, we propose a method using frontmesh 3D data to reduce the data size without affecting the visual quality much from a user's perspective. The proposed method also reduces decoding and import time on the client side, which enables faster playback of 3D data. We evaluated our method in terms of data reduction and computation complexity and conducted a qualitative analysis by comparing rendering results with reference data at different diagonal angles. Our method successfully reduces data volume and computation complexity with minimal visual quality loss.
description: Pacific Graphics Short Papers, Posters, and Work-in-Progress Papers
description: Works-In-Progress and Posters
description: 73
description: 74
description: Xiaotian Zhao and Takafumi Okuyama
description: CCS Concepts: Information systems --> Multimedia streaming; Computing methodologies --> Image compression
title: ÐÐ²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð°Ñ ÑÐ¸ÑÑÐµÐ¼Ð° ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ ÑÑÐ°Ð½ÑÐ¸Ð¸ ÐºÐ°ÑÐ¾Ð´Ð½Ð¾Ð¹ Ð·Ð°ÑÐ¸ÑÑ
title: Ð´Ð¸Ð¿Ð»Ð¾Ð¼Ð½ÑÐ¹ Ð¿ÑÐ¾ÐµÐºÑ
titleType: Subtitle
Creators: name: ÐÐ¾Ð½Ð´ÑÐ°ÑÐºÐ¸Ð¹, Ð¡ÑÐ°Ð½Ð¸ÑÐ»Ð°Ð²
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2016
Subjects: ÐºÐ°ÑÐ¾Ð´Ð½Ð°Ñ Ð·Ð°ÑÐ¸ÑÐ°
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description: Ð Ð´Ð¸Ð¿Ð»Ð¾Ð¼Ð½Ð¾Ð¼ Ð¿ÑÐ¾ÐµÐºÑÐµ ÑÐ°ÑÑÐ¼Ð°ÑÑÐ¸Ð²Ð°ÐµÑÑÑ Ð¿ÑÐ¾ÐµÐºÑ ÑÐ¸ÑÑÐµÐ¼Ñ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ ÑÑÐ°Ð½ÑÐ¸ÐµÐ¹ ÐºÐ°ÑÐ¾Ð´Ð½Ð¾Ð¹ Ð·Ð°ÑÐ¸ÑÑ Ð½Ð° Ð±Ð°Ð·Ðµ Ð¿ÑÐ¾Ð¼ÑÑÐ»ÐµÐ½Ð½Ð¾Ð³Ð¾ ÐºÐ¾Ð½ÑÑÐ¾Ð»Ð»ÐµÑÐ°. ÐÐ»Ñ ÑÑÐ¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð¼Ð½Ð¾Ñ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½ÑÐ¹ Ð¼Ð¾Ð´ÑÐ»Ñ, Ð¿ÑÐµÐ´Ð½Ð°Ð·Ð½Ð°ÑÐµÐ½Ð½ÑÐ¹ Ð´Ð»Ñ Ð¾Ð±Ð¼ÐµÐ½Ð° Ñ Ð´Ð°ÑÑÐ¸ÐºÐ°Ð¼Ð¸ Ð·Ð°ÑÐ¸ÑÐ½Ð¾Ð³Ð¾ Ð¿Ð¾ÑÐµÐ½ÑÐ¸Ð°Ð»Ð°. ÐÐ¿Ð¸ÑÐ°Ð½Ñ ÐºÑÐ¸ÑÐµÑÐ¸Ð¸ Ð¸ ÑÑÐ°Ð¿Ñ Ð²ÑÐ±Ð¾ÑÐ° ÑÑÐµÐ´ÑÑÐ² Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð¸Ñ Ð¿ÑÐ¾Ð¼ÑÑÐ»ÐµÐ½Ð½Ð¾Ð¹ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÐºÐ¸, ÐºÑÐ¸ÑÐµÑÐ¸Ð¸ Ð²ÑÐ±Ð¾ÑÐ° ÑÑÐµÐ´ÑÑÐ² ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð¿ÑÐ¸ÐºÐ»Ð°Ð´Ð½Ð¾Ð³Ð¾ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ Ð¼Ð¸ÐºÑÐ¾ÐºÐ¾Ð½ÑÑÐ¾Ð»Ð»ÐµÑÐ°. Ð ÑÐ°Ð±Ð¾ÑÐµ Ð¿ÑÐµÐ´ÑÑÐ°Ð²Ð»ÐµÐ½Ñ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ ÑÑÐ°Ð½ÑÐ¸ÐµÐ¹ ÐºÐ°ÑÐ¾Ð´Ð½Ð¾Ð¹ Ð·Ð°ÑÐ¸ÑÑ, Ð¸Ð·Ð»Ð¾Ð¶ÐµÐ½Ñ Ð¾ÑÐ½Ð¾Ð²Ð½ÑÐµ ÑÑÐ°Ð¿Ñ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ñ, Ð¿ÑÐ¸Ð²ÐµÐ´ÐµÐ½Ð¾ ÑÐµÑÐ½Ð¸ÐºÐ¾-ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐµÑÐºÐ¾Ðµ Ð¾Ð±Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¿ÑÐ¾ÐµÐºÑÐ°, Ð¾Ð´Ð¸Ð½ Ð¸Ð· ÑÐ°Ð·Ð´ÐµÐ»Ð¾Ð² Ð´Ð¸Ð¿Ð»Ð¾Ð¼Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ Ð¿Ð¾ÑÐ²ÑÑÐµÐ½ Ð¾ÑÑÐ°Ð½Ðµ Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑÑÐ°Ð»ÑÐ½Ð¾Ð¹ ÑÐ¾Ð±ÑÑÐ²ÐµÐ½Ð½Ð¾ÑÑÐ¸. Ð¢Ð°ÐºÐ¶Ðµ Ð² Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ð¸ Ð¿ÑÐ¸Ð²ÐµÐ´ÐµÐ½ ÑÐµÐºÑÑ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½Ð¾Ð³Ð¾ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ð³Ð¾ Ð±Ð»Ð¾ÐºÐ°, Ð¾ÑÐ²ÐµÑÐ°ÑÑÐµÐ³Ð¾ Ð·Ð° Ð¾Ð±Ð¼ÐµÐ½ Ñ Ð´Ð°ÑÑÐ¸ÐºÐ°Ð¼Ð¸.
The Mass of the Black Hole in the X-ray Binary M33 X-7 and the Evolutionary Status of M33 X-7 and IC 10 X-1
Creators: name: Abubekerov, M. K.
name: Antokhina, E. A.
name: Bogomazov, A. I.
name: Cherepashchuk, A. M.
Publisher: name: arXiv
Year: 2009
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: We have analyzed the observed radial-velocity curve for the X-ray binary M33 X-7 in a Roche model. We have analyzed the dependence between the component masses and the degree of filling of the optical star's Roche lobe to obtain the ratio of the masses of the optical star and compact object. For the most probable mass of the optical star, $m_v=70M_{\odot}$, the mass of the compact object is $m_x=15.55\pm3.20 M_{\odot}$. It has been shown that black holes with masses of $m_x=15M_{\odot}$ and even higher can form in binaries. We present characteristic evolutionary tracks for binary systems passing through an evolutionary stage with properties similar to M33 X-7 - type objects. According to population-synthesis analyses, such binaries should be present in galaxies with masses of at least $10^{11}M_{\odot}$. The present number of such systems in M33 should be of the order of unity. We have also studied the evolutionary status of the X-ray binary IC 10 X-1 with a Wolf-Rayet component, which may contain a massive black hole. The final stages of the evolution of the M33 X-7 and IC 10 X-1 systems should be accompanied by the radiation of gravitational waves.
description: 26 pages, 3 tables, 13 figures
Accessing ground state and excited states energies in many-body system after symmetry restoration using quantum computers
Creators: name: Guzman, E. A. Ruiz
name: Lacroix, D.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: Superconductivity (cond-mat.supr-con)
subject: Nuclear Experiment (nucl-ex)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: We explore the possibility to perform symmetry restoration with the variation after projection technique on a quantum computer followed by additional post-processing. The final goal is to develop configuration interaction techniques based on many-body trial states pre-optimized on a quantum computer. We show how the projection method used for symmetry restoration can prepare optimized states that could then be employed as initial states for quantum or hybrid quantum-classical algorithms. We use the quantum phase estimation and quantum Krylov approaches for the post-processing. The latter method combined with the quantum variation after projection (Q-VAP) leads to very fast convergence towards the ground-state energy. The possibility to access excited states energies is also discussed. Illustrations of the different techniques are made using the pairing hamiltonian.
title: ÐÑÑÐ±ÑÐµ ÑÐ¸ÑÑÐµÐ¼Ñ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ. Ð¡Ð¸Ð½ÑÐµÐ· ÑÐ¸ÑÑÐµÐ¼ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð¿Ð¾ Ð²ÑÑ Ð¾Ð´Ñ
title: ÑÑÐµÐ±Ð½Ð¾Ðµ Ð¿Ð¾ÑÐ¾Ð±Ð¸Ðµ Ð´Ð»Ñ ÑÑÑÐ´ÐµÐ½ÑÐ¾Ð² Ð²ÑÑÑÐ¸Ñ ÑÑÐµÐ±Ð½ÑÑ Ð·Ð°Ð²ÐµÐ´ÐµÐ½Ð¸Ð¹, Ð¾Ð±ÑÑÐ°ÑÑÐ¸Ñ ÑÑ Ð¿Ð¾ Ð½Ð°Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð¿Ð¾Ð´Ð³Ð¾ÑÐ¾Ð²ÐºÐ¸ Ð¼Ð°Ð³Ð¸ÑÑÑÐ¾Ð² Â«Ð¡Ð¸ÑÑÐµÐ¼Ð½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð¸ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸ÐµÂ»
titleType: Subtitle
Creators: name: ÐÑÐ¿ÑÐ¸ÑÐ½Ð¾Ð², ÐÐ°Ð»ÐµÐ½ÑÐ¸Ð½
name: ÐÐ°ÑÐ¸Ð»ÑÐµÐ², ÐÐ½Ð´ÑÐµÐ¹
Publisher: name: ÐÐ·Ð´-Ð²Ð¾ ÐÐ¾Ð»Ð¸ÑÐµÑÐ½. ÑÐ½-ÑÐ°
Year: 2014
Subjects: ÐÐ²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¸Ðµ ÑÐ¸ÑÑÐµÐ¼Ñ

description: Ð Ð°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ñ Ð¼ÐµÑÐ¾Ð´Ñ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¸ ÑÐ¸Ð½ÑÐµÐ·Ð° ÑÐ¸ÑÑÐµÐ¼ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð¿Ð¾ Ð²ÑÑÐ¾Ð´Ñ, Ð¾Ð±ÐµÑÐ¿ÐµÑÐ¸Ð²Ð°ÑÑÐ¸Ñ Ð¿ÑÐ¸ÐµÐ¼Ð»ÐµÐ¼ÑÐ¹ ÑÑÐ¾Ð²ÐµÐ½Ñ ÐºÐ°ÑÐµÑÑÐ²Ð° ÑÑÐ½ÐºÑÐ¸Ð¾Ð½Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¿ÑÐ¸ Ð½ÐµÐ¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð½Ð¾ Ð·Ð°Ð´Ð°Ð½Ð½ÑÑ Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ°Ñ Ð¾Ð±ÑÐµÐºÑÐ° ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ. ÐÑÐ¿Ð¾Ð»ÑÐ·ÑÐµÑÑÑ Ð´Ð¾ÑÑÐ°ÑÐ¾ÑÐ½Ð¾ ÑÐ´Ð¾Ð±Ð½ÑÐ¹ Ð¸ Ð°Ð´ÐµÐºÐ²Ð°ÑÐ½ÑÐ¹ Ð¼Ð°ÑÐµÐ¼Ð°ÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð°Ð¿Ð¿Ð°ÑÐ°Ñ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÐ¸ÑÑÐµÐ¼ Ñ Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ°Ð¼Ð¸, Ð¸Ð·Ð²ÐµÑÑÐ½ÑÐ¼Ð¸ Ñ ÑÐ¾ÑÐ½Ð¾ÑÑÑÑ Ð´Ð¾ Ð¿ÑÐ¸Ð½Ð°Ð´Ð»ÐµÐ¶Ð½Ð¾ÑÑÐ¸ Ð½ÐµÐºÐ¾ÑÐ¾ÑÐ¾Ð¼Ñ Ð·Ð°Ð¼ÐºÐ½ÑÑÐ¾Ð¼Ñ Ð¼Ð½Ð¾Ð¶ÐµÑÑÐ²Ñ. ÐÑÐµÐ´Ð½Ð°Ð·Ð½Ð°ÑÐµÐ½Ð¾ Ð´Ð»Ñ ÑÑÑÐ´ÐµÐ½ÑÐ¾Ð² Ð²ÑÑÑÐ¸Ñ ÑÑÐµÐ±Ð½ÑÑ Ð·Ð°Ð²ÐµÐ´ÐµÐ½Ð¸Ð¹, Ð¾Ð±ÑÑÐ°ÑÑÐ¸ÑÑÑ Ð¿Ð¾ Ð½Ð°Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð¿Ð¾Ð´Ð³Ð¾ÑÐ¾Ð²ÐºÐ¸ Ð¼Ð°Ð³Ð¸ÑÑÑÐ¾Ð² Â«Ð¡Ð¸ÑÑÐµÐ¼Ð½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð¸ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸ÐµÂ». ÐÐ¾Ð¶ÐµÑ Ð±ÑÑÑ ÑÐ°ÐºÐ¶Ðµ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¾ Ð² ÑÐ¸ÑÑÐµÐ¼Ð°Ñ Ð¿Ð¾Ð²ÑÑÐµÐ½Ð¸Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸, Ð² ÑÑÑÐµÐ¶Ð´ÐµÐ½Ð¸ÑÑ Ð´Ð¾Ð¿Ð¾Ð»Ð½Ð¸ÑÐµÐ»ÑÐ½Ð¾Ð³Ð¾ Ð¿ÑÐ¾ÑÐµÑÑÐ¸Ð¾Ð½Ð°Ð»ÑÐ½Ð¾Ð³Ð¾ Ð¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¿Ð¾ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð°Ð¼ Ð¿Ð¾Ð´Ð³Ð¾ÑÐ¾Ð²ÐºÐ¸ ÑÐ¿ÐµÑÐ¸Ð°Ð»Ð¸ÑÑÐ¾Ð² Ð¿Ð¾ Ð¿ÑÐ¾ÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÐ¸ÑÑÐµÐ¼ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ.
description: ÐÐµÑÐ°ÑÐ°ÐµÑÑÑ Ð¿Ð¾ ÑÐµÑÐµÐ½Ð¸Ñ ÑÐµÐ´Ð°ÐºÑÐ¸Ð¾Ð½Ð½Ð¾-Ð¸Ð·Ð´Ð°ÑÐµÐ»ÑÑÐºÐ¾Ð³Ð¾ ÑÐ¾Ð²ÐµÑÐ° Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¾Ð³Ð¾ Ð³Ð¾ÑÑÐ´Ð°ÑÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¾Ð³Ð¾ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑÐ°.
D4.6 - Technical Report on Third Pilot
Creators: name: Mario Montagud (I2CAT) And Pablo Cesar (CWI)
Publisher: name: Zenodo
Year: 2020

description: This document provides a comprehensive overview on the activities around the third Pilot of the project. It provides information about the evaluation methodologies and metrics developed by the project, the preparation work in the form of experiments (technological and with users), and a detailed report on the Pilot. Moreover, information about relevant activities such as the involvement of the local advisory board and the establishment of connected user labs is detailed.
description: The information, documentation and figures available in this deliverable, is written by the VRTogether – project consortium under EC grant agreement H2020-ICT-2016-2 762111 and does not necessarily reflect the views of the European Commission. The European Commission is not liable for any use that may be made of the information contained herein.
ESASky SSOSS: Solar System Object Search Service and the case of Psyche
Creators: name: Racero, E.
name: Giordano, F.
name: Carry, B.
name: Berthier, J.
name: Müller, T.
name: Mahlke, M.
name: Valtchanov, I.
name: Baines, D.
name: Kruk, S.
name: Merín, B.
name: Besse, S.
name: Küppers, M.
name: Puga, E.
name: Núñez, J. González
name: Rodríguez, P.
name: de la Calle, I.
name: López-Martí, B.
name: Norman, H.
name: Wrangblad, M.
name: López-Caniego, M.
name: Crespo, N. Álvarez
Publisher: name: arXiv
Year: 2021
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: We introduce in this work the Solar System Object Search Service (SSOSS), a service aimed at providing the scientific community with a search service for all potential detections of SSOs among the ESA astronomy archival imaging data. We illustrate its functionalities using the case of asteroid (16) Psyche, for which no information in the far-IR (70-500 μm) has previously been reported, to derive its thermal properties in preparation for the upcoming NASA Psyche mission. This service performs a geometrical cross-match of the orbital path of each object with respect to the public high-level imaging footprints stored in the ESA archives. For this first release, three missions were chosen: XMM-Newton, the Hubble Space Telescope (HST), and Herschel Observatory. We present a catalog listing all potential detections of asteroids within estimated limiting magnitude or flux limit in Herschel, XMM-Newton, and HST archival imaging data, including 909 serendipitous detections in Herschel images, 985 in XMM-Newton Optical Monitor camera images, and over 32,000 potential serendipitous detections in HST images. We also present a case study: the analysis of the thermal properties of Psyche from four serendipitous Herschel detections, combined with previously published thermal IR measurements. We see strong evidence for an unusual drop in (hemispherical spectral) emissivity, from 0.9 at 100 μm down to about 0.6 at 350 μm, followed by a possible but not well-constrained increase towards 500 μm, comparable to what was found for Vesta. The combined thermal data set puts a strong constraint on Psyche's thermal inertia (between 20 to 80$J m^{-2} s^{-1/2} K^{-1}$) and favours an intermediate to low level surface roughness (below 0.4 for the rms of surface slopes).
description: 21 pages, 17 figures
Constraint Synthesis for Parametric CAD
Creators: name: Mathur, Aman
name: Zufferey, Damien
Publisher: name: The Eurographics Association
Year: 2021
Subjects: Computing methodologies
Shape analysis

description: Parametric CAD, in conjunction with 3D-printing, is democratizing design and production pipelines. End-users can easily change parameters of publicly available designs, and 3D-print the customized objects. In research and industry, parametric designs are being used to find optimal, or unique final objects. Unfortunately, for most designs, many combinations of parameter values are invalid. Restricting the parameter space of designs to only the valid configurations is a difficult problem. Most publicly available designs do not contain this information. Using ideas from program analysis, we synthesize constraints on parameters of parametric designs. Some constraints are synthesized statically, by exploiting implicit assumptions of the design process. Several others are inferred by evaluating the design on many different samples, and then constructing and solving hypotheses. Our approach is effective at finding constraints on parameter values for a wide variety of parametric designs, with a very small runtime cost, in the order of seconds.
description: Pacific Graphics Short Papers, Posters, and Work-in-Progress Papers
description: Image Processing and Synthesis
description: 75
description: 80
description: Aman Mathur and Damien Zufferey
description: CCS Concepts: Computing methodologies --> Shape analysis
Hierarchical Link and Code: Efficient Similarity Search for Billion-Scale Image Sets
Creators: name: Yang, Kaixiang
name: Wang, Hongya
name: Du, Ming
name: Wang, Zhizheng
name: Tan, Zongyuan
name: Xiao, Yingyuan
Publisher: name: The Eurographics Association
Year: 2021
Subjects: Information systems
Top
k retrieval in databases

description: Similarity search is an indispensable component in many computer vision applications. To index billions of images on a single commodity server, Douze et al. introduced L&C that works on operating points considering 64-128 bytes per vector. While the idea is inspiring, we observe that L&C still suffers the accuracy saturation problem, which it is aimed to solve. To this end, we propose a simple yet effective two-layer graph index structure, together with dual residual encoding, to attain higher accuracy. Particularly, we partition vectors into multiple clusters and build the top-layer graph using the corresponding centroids. For each cluster, a subgraph is created with compact codes of the first-level vector residuals. Such an index structure provides better graph search precision as well as saves quite a few bytes for compression. We employ the second-level residual quantization to re-rank the candidates obtained through graph traversal, which is more efficient than regression-from-neighbors adopted by L&C. Comprehensive experiments show that our proposal obtains over 30% higher recall@1 than the state-of-thearts, and achieves up to 7.7x and 6.1x speedup over L&C on Deep1B and Sift1B, respectively.
description: Pacific Graphics Short Papers, Posters, and Work-in-Progress Papers
description: Image Processing and Synthesis
description: 81
description: 86
description: Kaixiang Yang, Hongya Wang, Ming Du, Zhizheng Wang, Zongyuan Tan, and Yingyuan Xiao
description: CCS Concepts: Information systems --> Top-k retrieval in databases
title: ÐÐ»Ð¸ÑÐ½Ð¸Ðµ ÑÑÑÐ¾Ð²ÑÑ ÐºÐ»Ð¸Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¸Ñ ÑÑÐ»Ð¾Ð²Ð¸Ð¹ ÐÑÐºÑÐ¸ÐºÐ¸ Ð½Ð° Ð¾Ð±Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² Ð°Ð²ÑÐ¾Ð½Ð¾Ð¼Ð½Ð¾Ð¹ ÐÐÐ­Ð¡
title: Ð¼Ð°Ð³Ð¸ÑÑÐµÑÑÐºÐ°Ñ Ð´Ð¸ÑÑÐµÑÑÐ°ÑÐ¸Ñ
titleType: Subtitle
Creators: name: ÐÐ¾Ð³ÑÐ½, ÐÐ½Ð½Ð°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2017
Subjects: ÐÐµÑÑÐ¾ÑÐ½ÐµÑÐ³ÐµÑÐ¸ÑÐµÑÐºÐ¸Ðµ ÑÐµÑÑÑÑÑ
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description: Ð ÑÐ°Ð±Ð¾ÑÐµ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐ¾ÑÑÐ¸Ð¹ÑÐºÐ¾Ð³Ð¾ Ð¸ Ð·Ð°ÑÑÐ±ÐµÐ¶Ð½Ð¾Ð³Ð¾ Ð¾Ð¿ÑÑÐ° ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ñ Ð²ÐµÑÑÐ¾Ð´Ð¸Ð·ÐµÐ»ÑÐ½ÑÑ ÑÐ½ÐµÑÐ³Ð¾ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑÐ¾Ð² Ð² Ð´ÐµÑÐµÐ½ÑÑÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ð½ÑÑ ÑÐ¸ÑÑÐµÐ¼Ð°Ñ ÑÐ½ÐµÑÐ³Ð¾ÑÐ½Ð°Ð±Ð¶ÐµÐ½Ð¸Ñ, Ð²ÑÑÐ²Ð»ÐµÐ½Ñ Ð¾ÑÐ½Ð¾Ð²Ð½ÑÐµ Ð¿ÑÐ¾Ð±Ð»ÐµÐ¼Ñ ÑÐ½ÐµÑÐ³Ð¾ÑÐ½Ð°Ð±Ð¶ÐµÐ½Ð¸Ñ Ð¸Ð·Ð¾Ð»Ð¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÑ Ð¿Ð¾ÑÑÐµÐ±Ð¸ÑÐµÐ»ÐµÐ¹ Ð² Ð Ð¾ÑÑÐ¸Ð¸. ÐÑÐ¾Ð°Ð½Ð°Ð»Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ñ Ð¼ÐµÑÐ¾Ð´Ñ Ð¾ÑÐµÐ½ÐºÐ¸ Ð¸ Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð²ÐµÑÑÐ¾Ð²ÑÑ ÑÐµÐ¶Ð¸Ð¼Ð¾Ð² Ð¸ ÑÐ½ÐµÑÐ³ÐµÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð¿Ð¾ÐºÐ°Ð·Ð°ÑÐµÐ»ÐµÐ¹ ÐÐ­Ð£. ÐÑÐ¾Ð¸Ð·Ð²ÐµÐ´ÐµÐ½Ð° Ð¾ÑÐµÐ½ÐºÐ° Ð²Ð»Ð¸ÑÐ½Ð¸Ñ ÑÑÑÐ¾Ð²ÑÑ Ð¿ÑÐ¸ÑÐ¾Ð´Ð½Ð¾-ÐºÐ»Ð¸Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¸Ñ ÑÐ°ÐºÑÐ¾ÑÐ¾Ð² Ð½Ð° ÑÐ½ÐµÑÐ³ÐµÑÐ¸ÑÐµÑÐºÐ¸Ðµ Ð¸ ÑÐµÑÐ½Ð¸ÐºÐ¾-ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐµÑÐºÐ¸Ðµ Ð¿Ð¾ÐºÐ°Ð·Ð°ÑÐµÐ»Ð¸ ÐÐ­Ð£. Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð° Ð¼ÐµÑÐ¾Ð´Ð¸ÐºÐ° Ð¿ÑÐ¾ÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð²ÐµÑÑÐ¾Ð´Ð¸Ð·ÐµÐ»ÑÐ½ÑÑ ÑÐ½ÐµÑÐ³Ð¾ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑÐ¾Ð² Ð½Ð° ÑÑÐ°Ð´Ð¸Ð¸ Ð¾Ð±Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¸Ð½Ð²ÐµÑÑÐ¸ÑÐ¸Ð¹ Ñ ÑÑÐµÑÐ¾Ð¼ ÑÑÑÐ¾Ð²ÑÑ ÐºÐ»Ð¸Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¸Ñ ÑÑÐ»Ð¾Ð²Ð¸Ð¹ ÐÑÐºÑÐ¸ÐºÐ¸. ÐÐ¿ÑÐµÐ´ÐµÐ»ÐµÐ½ Ð²Ð°Ð»Ð¾Ð²ÑÐ¹ Ð²ÐµÑÑÐ¾ÑÐ½ÐµÑÐ³ÐµÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð¿Ð¾ÑÐµÐ½ÑÐ¸Ð°Ð» ÑÐ°Ð¹Ð¾Ð½Ð° ÑÑÑÐ¾Ð¸ÑÐµÐ»ÑÑÑÐ²Ð° Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ð³Ð¾ ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑÐ° WindPro, Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¾ Ð¾Ð±Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð²ÑÐ±Ð¾ÑÐ° Ð¾Ð±Ð¾ÑÑÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÐ½ÐµÑÐ³Ð¾ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑÐ° Ð¸ Ð¿Ð»Ð¾ÑÐ°Ð´ÐºÐ¸ ÑÑÑÐ¾Ð¸ÑÐµÐ»ÑÑÑÐ²Ð°. ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¾ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð²Ð°ÑÐ¸Ð°Ð½ÑÐ¾Ð² ÑÑÐµÐ¼ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð²ÐµÑÑÐ¾Ð´Ð¸Ð·ÐµÐ»ÑÐ½Ð¾Ð³Ð¾ ÑÐ½ÐµÑÐ³Ð¾ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑÐ° Ð² Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ð¼ ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑÐµ Homer Ð¸ Ð¾Ð±Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð²ÑÐ±Ð¾ÑÐ° Ð¾Ð¿ÑÐ¸Ð¼Ð°Ð»ÑÐ½Ð¾Ð¹ ÑÑÐµÐ¼Ñ. ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð° ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐµÑÐºÐ°Ñ Ð¾ÑÐµÐ½ÐºÐ° ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ Ð¿ÑÐ¾ÐµÐºÑÐ°.
D5.3 - Market analysis report
Creators: name: Pascal Perrot (Viaccess-Orca), Tom De Koninck (TNO), Bart Kevelham (Artanim), Pashalina Medentzidou (CERTH), Sergi Fernandez (I2CAT), Jordi Saura Labaila (FI Group), Beate Kreisel (FI Group)
Publisher: name: Zenodo
Year: 2020

description: The deliverable describes the status of the market as of December 2020 for the audio-visual immersive products, with an emphasis in social VR platforms and related technologies. In addition, it provides a set of recommendations based on the market and customer research aiming to provide insightful and meaningful data towards the elaboration of an improved exploitation plan of the project results.
description: The information, documentation and figures available in this deliverable, is written by the VRTogether – project consortium under EC grant agreement H2020-ICT-2016-2 762111 and does not necessarily reflect the views of the European Commission. The European Commission is not liable for any use that may be made of the information contained herein.
Real-time Content Projection onto a Tunnel from a Moving Subway Train
Creators: name: Kim, Jaedong
name: Eom, Haegwang
name: Kim, Jihwan
name: Kim, Younghui
name: Noh, Junyong
Publisher: name: The Eurographics Association
Year: 2021
Subjects: Computing methodologies
Mixed / augmented reality

description: In this study, we present the first actual working system that can project content onto a tunnel wall from a moving subway train so that passengers can enjoy the display of digital content through a train window. To effectively estimate the position of the train in a tunnel, we propose counting sleepers, which are installed at regular interval along the railway, using a distance sensor. The tunnel profile is constructed using pointclouds captured by a depth camera installed next to the projector. The tunnel profile is used to identify projectable sections that will not contain too much interference by possible occluders. The tunnel profile is also used to retrieve the depth at a specific location so that a properly warped content can be projected for viewing by passengers through the window when the train is moving at runtime. Here, we show that the proposed system can operate on an actual train.
description: Pacific Graphics Short Papers, Posters, and Work-in-Progress Papers
description: Image Processing and Synthesis
description: 87
description: 91
description: Jaedong Kim, Haegwang Eom, Jihwan Kim, Younghui Kim, and Junyong Noh
description: CCS Concepts: Computing methodologies --> Mixed / augmented reality
GANST: Gradient-aware Arbitrary Neural Style Transfer
Creators: name: Zhu, Haichao
Publisher: name: The Eurographics Association
Year: 2021
Subjects: Computing methodologies
Neural networks

description: Artistic style transfer synthesizes a stylized image with content from a target image and style from an art image. The latest neural style transfer leverages texture distributions as style information, and applies the style to content images afterwards. These methods are promising; however, they could introduce semantic content loss into synthesized results inevitably with the disregarded gradient information of input images. To tackle this problem, we propose a novel gradient-aware technique, called GANST. First, GANST decomposes input images to intermediate steerable representation that capture gradient information at multiple scales based on a Steerable Pyramid Neural Network (SPNN). With the extracted information, GANST preserves semantic content by integrating a novel loss representation of local gradients to AdaIN architecture, which we call Steerable Style Transfer Network (SSTN). Experimental results on various images demonstrate that our proposed GANST outperforms the state-of-the-art methods in producing results with concrete style reflected and detailed content preserved.
description: Pacific Graphics Short Papers, Posters, and Work-in-Progress Papers
description: Image Processing and Synthesis
description: 93
description: 98
description: Haichao Zhu
description: CCS Concepts: Computing methodologies --> Neural networks
title: Ð Ð¾ÑÑÐ¸Ð¹ÑÐºÐ¾-ÐºÐ¸ÑÐ°Ð¹ÑÐºÐ¸Ðµ Ð¾ÑÐ½Ð¾ÑÐµÐ½Ð¸Ñ Ð² Ð½Ð°ÑÐ°Ð»Ðµ 21 Ð²ÐµÐºÐ°
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
Creators: name: Ð¯Ð½ Ð§Ð¶Ð°Ð¾
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2018
Subjects: Ð³ÐµÐ¾Ð¿Ð¾Ð»Ð¸ÑÐ¸ÐºÐ°
ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÐºÐ° ÐÐ¸ÑÐ°Ñ
ÑÐ¾ÑÑÐ¸Ð¹ÑÐºÐ¾-ÐºÐ¸ÑÐ°Ð¹ÑÐºÐ¸Ðµ Ð¾ÑÐ½Ð¾ÑÐµÐ½Ð¸Ñ
Ð³Ð»Ð¾Ð±Ð°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ

description: Ð Ð´Ð°Ð½Ð½Ð¾Ð¼ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ð¸ Ð¿ÑÐ¾Ð²Ð¾Ð´Ð¸ÑÑÑ Ð°Ð½Ð°Ð»Ð¸Ð· Ð¾ÑÐ½Ð¾ÑÐµÐ½Ð¸Ð¹ Ð¼ÐµÐ¶Ð´Ñ Ð Ð¾ÑÑÐ¸ÐµÐ¹ Ð¸ ÐÐ¸ÑÐ°ÐµÐ¼, ÑÐ°ÑÑÐ¼Ð°ÑÑÐ¸Ð²Ð°ÐµÑÑÑ Ð²Ð¾Ð·Ð½Ð¸ÐºÐ½Ð¾Ð²ÐµÐ½Ð¸Ðµ Ð¸ ÑÑÐ°Ð½Ð¾Ð²Ð»ÐµÐ½Ð¸Ðµ Ð¾ÑÐ½Ð¾ÑÐµÐ½Ð¸Ð¹ Ð¼ÐµÐ¶Ð´Ñ Ð Ð¾ÑÑÐ¸ÐµÐ¹ Ð¸ ÐÐ¸ÑÐ°ÐµÐ¼, ÑÑÐ¿ÐµÑÐ¸ Ð¸ Ð¿ÑÐ¾Ð±Ð»ÐµÐ¼Ñ Ð² ÑÑÐ°Ð½Ð¾Ð²Ð»ÐµÐ½Ð¸Ð¸ Ð¾ÑÐ½Ð¾ÑÐµÐ½Ð¸Ð¹ Ð¼ÐµÐ¶Ð´Ñ Ð Ð¾ÑÑÐ¸ÐµÐ¹ Ð¸ ÐÐ¸ÑÐ°ÐµÐ¼, Ð½Ð°Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ ÑÐ°Ð·Ð²Ð¸ÑÐ¸Ñ Ð¾ÑÐ½Ð¾ÑÐµÐ½Ð¸Ð¹ Ð¼ÐµÐ¶Ð´Ñ Ð Ð¾ÑÑÐ¸ÐµÐ¹ Ð¸ ÐÐ¸ÑÐ°ÐµÐ¼.
title: Oversized Area Indications on Bonus Packs Fail to Affect Consumers’ Transactional Decisions—More Experimental Evidence on the Mars Case
Creators: name: Purnhagen, Kai
name: van Herpen, Erica
name: Kamps, Stefanie
name: Michetti, Francesca
Publisher: name: University of Bayreuth
Year: 2021
Subjects: subject: Unfair commercial practices
subject: Average consumer
subject: Consumer behaviour
subject: Anchoring bias
subject: 340

description: Findings from behavioural research are gaining increased interest in EU legislation, specifically in the area of unfair commercial practices. Prior research on the Mars case (Purnhagen and van Herpen 2017) has left open whether empirical evidence can provide an indication that this practice of using oversized indications of additional volume alters the transactional decision of consumers. This, however, is required to determine the “misleadingness” of such a practice in the legal sense as stipulated by the Unfair Commercial Practices Directive 2005/29/EC. The current paper closes this gap by illustrating how behavioural research can inform legal interpretation. In particular, it extends the previous research in two important ways: first, by examining the actual choice that people make; second, by investigating whether the effects remain present in a context where a comparison product is available. Yet, while supporting and extending the findings of the study from Purnhagen and van Herpen (2017) on deceptiveness, the current study could not produce empirical evidence of a clear influence on the transactional decision of consumers, in the way ‘UCPD’ requires.