| 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 | 349 | 2018 |
| Deep pictorial gaze estimation S Park, A Spurr, O Hilliges Proceedings of the European conference on computer vision (ECCV), 721-738, 2018 | 228 | 2018 |
| 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 | 174 | 2020 |
| 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 | 80 | 2021 |
| Guiding infogan with semi-supervision A Spurr, E Aksan, O Hilliges Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017 | 72 | 2017 |
| 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 | 68 | 2021 |
| 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 | 64 | 2019 |
| 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 | 61 | 2021 |
| 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 | 52 | 2020 |
| 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 | 11 | 2021 |
| 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 | 6 | 2021 |
| 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 | 4 | 2021 |
| emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation S Salter, R Warren, C Schlager, A Spurr, S Han, R Bhasin, Y Cai, ... arXiv preprint arXiv:2412.02725, 2024 | 2 | 2024 |
| Gesture Recognition: Hand Pose Estimation A Spurr, UCS FS2014 ETH Zurich, 2014 | 1 | 2014 |
| 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 | | |
Otmar HilligesProfessor of Computer Science, ETH ZurichZweryfikowany adres z inf.ethz.ch