Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Chao-Yeh Chen"'
Publikováno v:
Plant & Soil. Apr2010, Vol. 329 Issue 1/2, p327-337. 11p. 1 Diagram, 1 Chart, 6 Graphs.
Publikováno v:
Visual Attributes ISBN: 9783319500751
Existing methods to learn visual attributes are plagued by two common issues: (i) they are prone to confusion by properties that are correlated with the attribute of interest among training samples and (ii) they often learn generic, imprecise “lowe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ab12c8778955429f6830f307ef0ac83
https://doi.org/10.1007/978-3-319-50077-5_4
https://doi.org/10.1007/978-3-319-50077-5_4
Autor:
Chao-Yeh Chen, Kristen Grauman
We propose an efficient approach for activity detection in video that unifies activity categorization with space-time localization. The main idea is to pose activity detection as a maximum-weight connected subgraph problem. Offline, we learn a binary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7598408b56a94008c59bc78a3ee44029
http://arxiv.org/abs/1607.02815
http://arxiv.org/abs/1607.02815
Publikováno v:
WACV
The efficacy of advance warning systems (AWS) in automobiles can be significantly enhanced by semantic recognition of traffic scenes that pose a potential danger. However, the complexity of road scenes and the need for real-time solutions pose key ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0010356087bc0167f21862e302fa793e
https://doi.org/10.1109/wacv.2016.7477609
https://doi.org/10.1109/wacv.2016.7477609
Autor:
Weihsueh A. Chiu, Ravi P. Subramaniam, Paul D. White, Chao-Yeh Chen, Christopher J. Portier, Kenny S. Crump, Thomas A. Louis
Publikováno v:
Environmental Health Perspectives
BACKGROUND: Biologically based dose-response (BBDR) models can incorporate data on biological processes at the cellular and molecular level to link external exposure to an adverse effect. OBJECTIVES: Our goal was to examine the utility of BBDR models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::151ff714f24e40112b5376b7475c56f5
https://doi.org/10.1289/ehp.0901249
https://doi.org/10.1289/ehp.0901249
Publikováno v:
Plant and Soil. 329:327-337
The role of H2O2 in salicylic acid (SA)-induced protection of rice leaves against subsequent Cd toxicity was investigated. SA pretreatment resulted in an increase in the contents of endogenous SA, as judged by the expression of OsWRKY45 (a SA respons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f61a3b11782ef9d508d3ad989d4430a
https://doi.org/10.1007/s11104-009-0161-4
https://doi.org/10.1007/s11104-009-0161-4
Autor:
Chao-Yeh Chen, 陳昭曄
104
This study use the external electric field to assist fiber laser (1064nm) drilling for Al2O3 ceramic substrate, and use the preheating method to assist laser scribing. After using the theory and simulation analysis, we adjust the different p
This study use the external electric field to assist fiber laser (1064nm) drilling for Al2O3 ceramic substrate, and use the preheating method to assist laser scribing. After using the theory and simulation analysis, we adjust the different p
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/41033673387080337669
Autor:
Chao-Yeh Chen, Kristen Grauman
Understanding images with people often entails understanding their \emph{interactions} with other objects or people. As such, given a novel image, a vision system ought to infer which other objects/people play an important role in a given person's ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::226b81d3da61753068574b0a4d5219a0
Autor:
Kristen Grauman, Chao-Yeh Chen
Publikováno v:
CVPR
The appearance of an attribute can vary considerably from class to class (e.g., a "fluffy" dog vs. a "fluffy" towel), making standard class-independent attribute models break down. Yet, training object-specific models for each attribute can be imprac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d98c9b027c60d8507f8e1f2b252d67b
https://doi.org/10.1109/cvpr.2014.33
https://doi.org/10.1109/cvpr.2014.33
Autor:
Chao-Yeh Chen, Kristen Grauman
Publikováno v:
CVPR
We pose unseen view synthesis as a probabilistic tensor completion problem. Given images of people organized by their rough viewpoint, we form a 3D appearance tensor indexed by images (pose examples), viewpoints, and image positions. After discoverin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16f88db871d1b4b6ee4a5216dc3cd9cb
https://doi.org/10.1109/cvpr.2014.258
https://doi.org/10.1109/cvpr.2014.258