Követés
Adrian Spurr
Adrian Spurr
Research Scientist, Meta
E-mail megerősítve itt: meta.com
Cím
Hivatkozott rá
Hivatkozott rá
Év
Cross-modal deep variational hand pose estimation
A Spurr, J Song, S Park, O Hilliges
Proceedings of the IEEE conference on computer vision and pattern …, 2018
3232018
Deep pictorial gaze estimation
S Park, A Spurr, O Hilliges
Proceedings of the European conference on computer vision (ECCV), 721-738, 2018
2052018
Weakly supervised 3d hand pose estimation via biomechanical constraints
A Spurr, U Iqbal, P Molchanov, O Hilliges, J Kautz
European conference on computer vision, 211-228, 2020
1302020
Guiding infogan with semi-supervision
A Spurr, E Aksan, O Hilliges
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
682017
Self-supervised 3d hand pose estimation from monocular rgb via contrastive learning
A Spurr, A Dahiya, X Wang, X Zhang, O Hilliges
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
602021
Photo-realistic monocular gaze redirection using generative adversarial networks
Z He, A Spurr, X Zhang, O Hilliges
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
552019
A skeleton-driven neural occupancy representation for articulated hands
K Karunratanakul, A Spurr, Z Fan, O Hilliges, S Tang
2021 International Conference on 3D Vision (3DV), 11-21, 2021
452021
Learning to disambiguate strongly interacting hands via probabilistic per-pixel part segmentation
Z Fan, A Spurr, M Kocabas, S Tang, MJ Black, O Hilliges
2021 International Conference on 3D Vision (3DV), 1-10, 2021
452021
Measuring generalisation to unseen viewpoints, articulations, shapes and objects for 3D hand pose estimation under hand-object interaction
A Armagan, G Garcia-Hernando, S Baek, S Hampali, M Rad, Z Zhang, ...
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
452020
Adversarial motion modelling helps semi-supervised hand pose estimation
A Spurr, P Molchanov, U Iqbal, J Kautz, O Hilliges
arXiv preprint arXiv:2106.05954, 2021
102021
Determining a 3-d hand pose from a 2-d image using machine learning
A Spurr, P Molchanov, U Iqbal, J Kautz
US Patent App. 16/752,225, 2021
42021
Exploring self-supervised learning techniques for hand pose estimation
A Dahiya, A Spurr, O Hilliges
NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 255-271, 2021
42021
Gesture Recognition: Hand Pose Estimation
A Spurr, UCS FS2014
ETH Zurich, 2014
12014
Semi-and Weakly-Supervised Methods for 3D Hand Pose Estimation from Monocular RGB
A Spurr
ETH Zurich, 2023
2023
Supplementary: Cross-modal Deep Variational Hand Pose Estimation
A Spurr, J Song, S Park, O Hilliges
Supplementary: Weakly Supervised 3D Hand Pose Estimation via Biomechanical Constraints
A Spurr, U Iqbal, P Molchanov, O Hilliges, J Kautz
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–16