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VisionAPI: An API for Offline and Online Segmentation and I..:

, In: Companion Proceedings of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing Systems,

Brie, Paul ; Burny, Nicolas ; Vanderdonckt, Jean - p. 59-67 , 2023

Link: https://dl.acm.org/doi/10.1145/3596454.3597184

RT 
T1 <cTitle>Companion Proceedings of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing Systems</cTitle>: T1 <Title>VisionAPI: An API for Offline and Online Segmentation and Identification of Hand-Sketched Graphical User Interfaces</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3597184&Exemplar=1&LAN=DE
				
A1 Brie, Paul
A1 Burny, Nicolas
A1 Vanderdonckt, Jean
PB ACM
YR 2023
K1 Application Programming Interface
K1 Convolutional Neural Network
K1 Edge detection
K1 Faster R-CNN
K1 GUI element
K1 GUI layout
K1 Gestural input
K1 User Interface segmentation
K1 Widget identification
K1 Human-centered computing
K1 Human computer interaction (HCI)
K1 Interactive systems and tools
K1 User interface programming
K1 Interaction paradigms
K1 Graphical user interfaces
K1 Computing methodologies
K1 Artificial intelligence
K1 Computer vision
K1 Interaction design
K1 Systems and tools for interaction design
K1 Computer vision representations
K1 Machine learning
K1 Machine learning approaches
K1 Neural networks
K1 Web-based interaction
K1 Computer vision problems
K1 Video segmentation
K1 Object recognition
K1 Software and its engineering
K1 Software organization and properties
K1 Software system structures
K1 Software architectures
K1 Wireframes
SP 59
OP 67
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3596454.3597184
DO https://dl.acm.org/doi/10.1145/3596454.3597184
SF ELIB - SuUB Bremen

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