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Keypoint Transformer: Solving Joint Identification in Chall..:
, In:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Hampali, Shreyas
;
Sarkar, Sayan Deb
;
Rad, Mahdi
. - p. 11080-11090 , 2022
Link:
https://doi.org/10.1109/CVPR52688.2022.01081
RT T1 <cTitle>2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</cTitle>: T1 <Title>Keypoint Transformer: Solving Joint Identification in Challenging Hands and Object Interactions for Accurate 3D Pose Estimation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9880464&Exemplar=1&LAN=DE A1 Hampali, Shreyas A1 Sarkar, Sayan Deb A1 Rad, Mahdi A1 Lepetit, Vincent YR 2022 SN 2575-7075 K1 Heating systems K1 Three-dimensional displays K1 Pose estimation K1 Computer architecture K1 Detectors K1 Transformers K1 Pattern recognition K1 Pose estimation and tracking; 3D from single images; Datasets and evaluation; Deep learning architectures and techniques SP 11080 OP 11090 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52688.2022.01081 DO https://doi.org/10.1109/CVPR52688.2022.01081 SF ELIB - SuUB Bremen
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