6,260 research outputs found
In Conversation with Daniel Liang
No full textIntroduction to Programming author Daniel Liang discusses how Revel Programming brings coding to life with interactives and the successful results he\u27s experienced in his own classroom
Pulangke wei xing ce liang dui chun liang zhang liang bi li de gui fan
No full textLau, King = 普朗克衛星測量對純量-張量比例的規範 / 劉荊.Thesis M.Phil. Chinese University of Hong Kong 2013.Includes bibliographical references (leaves 83-89).Abstracts also in Chinese.Title from PDF title page (viewed on 15, September, 2016).Lau, King = Pulangke wei xing ce liang dui chun liang-zhang liang bi li de gui fan / Liu Jing
Jiaming Liang, piano
No full textProgram for recital offered in partial fulfillment of the requirements for the degree of Master of Music
Ruha Sunghyun Lee, soprano
No full textProgram for recital offered in partial fulfillment of the requirements for the degree of Master of Music. With Yang Gao, piano; Dimitri Wang, horn; Jiaming Liang, piano
Liang zi guang li xue de Hamidun liang
No full textCheung, Hoi Kit = 量子光力學的哈密頓量 / 張凱傑.Thesis Ph.D. Chinese University of Hong Kong 2014.Includes bibliographical references (leaves 102-109).Abstracts also in Chinese.Title from PDF title page (viewed on 07, November, 2016).Cheung, Hoi Kit = Liang zi guang li xue de Hamidun liang / Zhang Kaijie
A Historical research of the Liang Chen Plan
No full textIn February 1950, Liang Sicheng and Chen Zhanxiang jointly proposed the "Proposal on the Location of the Central People's Government's Administrative Center Area", which is known as the Liang Chen Plan. Although this scheme has not been implemented, it is often mentioned. The designers have objective understandings of Beijing's urban functions, development conditions, and spatial structure. This scheme once gave Beijing the opportunity to move towards a completely different direction from now.AR2A011Architecture, Urbanism and Building Science
Zhong xin liang zi bi te dui huan jing zhong wu li liang de tan ce
No full textChen, Dongqing = 中心量子比特對環境中物理量的探測 / 陳冬青.Thesis Ph.D. Chinese University of Hong Kong 2015.Includes bibliographical references (leaves 100-103).Abstracts also in Chinese.Title from PDF title page (viewed on 28, October, 2016).Chen, Dongqing = Zhong xin liang zi bi te dui huan jing zhong wu li liang de tan ce / Chen Dongqing
Dimitri Wang, horn
No full textProgram for recital offered in partial fulfillment of the requirements for the degree of Master of Music. With Jiaming Liang, piano; Tzu-Yu Chen, piano; Ruha Sunghyun Lee, soprano; Bryan Bennett, horn; Joey Li, horn; Michael Rising, horn; Simon Yang, horn
1 Bridging Human Intelligence Augmentation (IA) and Classroom Practices via GenAI in Learning Engineering: A Response to Dr. Dede’s Keynote Speeches on IA 2022-2025
No full textauthor: Li (Lee) Liang, University of Sydney, [email protected]
AdaptFormer: An Adaptive Hierarchical Semantic Approach for Change Detection on Remote Sensing Images
No full textChange detection (CD) in remote sensing (RS) aims
to consistently track alterations in specific regions over time.
While current methods employ hierarchical architectures to
analyze semantic details, they often miss crucial changes across
different semantic levels, resulting in partial representations of
environmental shifts. Addressing this, we propose AdaptFormer,
uniquely designed to adaptively interpret hierarchical semantics.
Instead of a one-size-fits-all approach, it strategizes differently
across three semantic depths: employing straightforward
operations for shallow semantics, assimilating spatial data for
medium semantics to emphasize detailed interregional changes,
and integrating cascaded depthwise attention for in-depth semantics,
focusing on high-level representations. The experimental
evaluations reveal that AdaptFormer surpasses many leading
benchmarks, showcasing exceptional accuracy on LEVIR-CD
and DSIFN-CD datasets. AdaptFormer showcases impressive
performance with F1 and intersection over union (IoU) scores
of 92.65% and 86.31% on the LEVIR-CD dataset, and 97.59%
and 95.29% on the DSIFN-CD dataset, respectively. The datasets
are available at https://github.com/aigzhusmart/AdaptFormer
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