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1
OO-dMVMT: A Deep Multi-view Multi-task Classification Frame..:
, In:
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
,
Cunico, Federico
;
Girella, Federico
;
Avogaro, Andrea
... - p. 2745-2754 , 2023
Link:
https://doi.org/10.1109/CVPRW59228.2023.00275
RT T1 <cTitle>2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)</cTitle>: T1 <Title>OO-dMVMT: A Deep Multi-view Multi-task Classification Framework for Real-time 3D Hand Gesture Classification and Segmentation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10208559&Exemplar=1&LAN=DE A1 Cunico, Federico A1 Girella, Federico A1 Avogaro, Andrea A1 Emporio, Marco A1 Giachetti, Andrea A1 Cristani, Marco YR 2023 SN 2160-7516 K1 Human computer interaction K1 Three-dimensional displays K1 Gesture recognition K1 Switches K1 Multitasking K1 Real-time systems K1 Proposals SP 2745 OP 2754 LK http://dx.doi.org/https://doi.org/10.1109/CVPRW59228.2023.00275 DO https://doi.org/10.1109/CVPRW59228.2023.00275 SF ELIB - SuUB Bremen
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