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Keyang Zhou
Keyang Zhou
PhD Student, Max Planck Institute for Informatics
Bestätigte E-Mail-Adresse bei mpi-inf.mpg.de
Titel
Zitiert von
Zitiert von
Jahr
Unsupervised shape and pose disentanglement for 3d meshes
K Zhou, BL Bhatnagar, G Pons-Moll
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
652020
TOCH: Spatio-Temporal Object-to-Hand Correspondence for Motion Refinement
K Zhou, BL Bhatnagar, JE Lenssen, G Pons-Moll
European Conference on Computer Vision, 2022, 2022
322022
Toch: Spatio-temporal object correspondence to hand for motion refinement
K Zhou, B Lal Bhatnagar, JE Lenssen, G Pons-Moll
arXiv preprint arXiv:2205.07982, 2022
172022
Efficient image evidence analysis of cnn classification results
K Zhou, B Kainz
arXiv preprint arXiv:1801.01693, 2018
62018
Adjoint Rigid Transform Network: Task-conditioned Alignment of 3D Shapes
K Zhou, BL Bhatnagar, B Schiele, G Pons-Moll
2022 International Conference on 3D Vision (3DV), 2023
22023
GEARS: Local Geometry-aware Hand-object Interaction Synthesis
K Zhou, BL Bhatnagar, JE Lenssen, G Pons-Moll
arXiv preprint arXiv:2404.01758, 2024
2024
Supplementary-Adjoint Rigid Transform Network: Task-conditioned Alignment of 3D Shapes
K Zhou, BL Bhatnagar, B Schiele, G Pons-Moll
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