Výsledky vyhledávání - "William Brendel"

End-to-End Time-Lapse Video Synthesis from a Single Outdoor Image

Autor: William Brendel, Chongyang Ma, Ning Xu, Seon Joo Kim, Seonghyeon Nam, Menglei Chai

Publikováno v: CVPR

Time-lapse videos usually contain visually appealing content but are often difficult and costly to create. In this paper, we present an end-to-end solution to synthesize a time-lapse video from a single outdoor image using deep neural networks. Our k

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::908531034b3c3abc731537d0d0d7ffb8

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Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering

Autor: Pradeep Karuturi, William Brendel, Leonardo Neves, Sergey Tulyakov, Luís Marujo, Lahari Poddar

Publikováno v: NAACL-HLT (2)

Tracking user reported bugs requires considerable engineering effort in going through many repetitive reports and assigning them to the correct teams. This paper proposes a neural architecture that can jointly (1) detect if two bug reports are duplic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7293279dea8b1b700cf55a1c7921550e

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Learning to Embody Leadership Through Mindfulness and Somatics Practice

Autor: William Brendel, Carmela Bennett

Publikováno v: Advances in Developing Human Resources. 18:409-425

The Problem Given the unpredictable nature of organizational life, leadership development programs that rely primarily on cognitive processing and critical reflection are no longer sufficient. What is required is an integrated pedagogy that enables i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f35f1ce664e8a003a7cbec9a55c4c195
https://doi.org/10.1177/1523422316646068

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Practical Privacy-Preserving Friend Recommendations on Social Networks

Autor: William Brendel, Luo Jie, Fangqiu Han, Aleksandra Korolova, Luís Marujo

Publikováno v: WWW (Companion Volume)

Making friend recommendations is an important task for social networks, as having more friends typically leads to a better user experience. Most current friend recommendations systems grow the existing network at the cost of privacy. In particular, a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::eb8e9e4b04a3946031dd9792e5ec7802
https://doi.org/10.1145/3184558.3186954

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Improving Multi-label Emotion Classification via Sentiment Classification with Dual Attention Transfer Network

Autor: Pradeep Karuturi, William Brendel, Luís Marujo, Jing Jiang, Jianfei Yu

Publikováno v: EMNLP

In this paper, we target at improving the performance of multi-label emotion classification with the help of sentiment classification. Specifically, we propose a new transfer learning architecture to divide the sentence representation into two differ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3e02cb9a23d2a23858471cc797d729b6
https://doi.org/10.18653/v1/d18-1137

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Video Painting with Space-Time-Varying Style Parameters

Autor: Eugene Zhang, William Brendel, T Kesterson, Sinisa Todorovic, P J Neill, M Kagaya, Qingqing Deng

Publikováno v: IEEE Transactions on Visualization and Computer Graphics. 17:74-87

Artists use different means of stylization to control the focus on different objects in the scene. This allows them to portray complex meaning and achieve certain artistic effects. Most prior work on painterly rendering of videos, however, uses only

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e2cf144db0274db3c9206384fda2cd1
https://doi.org/10.1109/tvcg.2010.25

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A Framework for Narrative-Driven Transformative Learning in Medicine

Autor: William Brendel

Publikováno v: Journal of Transformative Education. 7:26-43

Like bookends, birth and death contain innumerable narratives that we come to experience, recall, and reflect on in a unique fashion throughout life. In hindsight, the bookmarks we leave behind often refer us to poignant ups and downs, many of which

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::827f43d4730848547d264d84eb199c31
https://doi.org/10.1177/1541344609334803

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Akademický článek

Efficient Cryptographic Solutions for Unbalanced Private Set Intersection in Mobile Communication.

Autor: Feng, Qian^1,2 (AUTHOR) jnu.fengq@gmail.com, Du, Shenglong^1,2 (AUTHOR) jndsl@stu2021.jnu.edu.cn, Tan, Wuzheng^1,2 (AUTHOR) cryptjweng@gmail.com, Weng, Jian^1,2 (AUTHOR)

Publikováno v: Information (2078-2489). Sep2024, Vol. 15 Issue 9, p554. 31p.

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