| Interacting with soli: Exploring fine-grained dynamic gesture recognition in the radio-frequency spectrum S Wang, J Song, J Lien, I Poupyrev, O Hilliges Proceedings of the 29th Annual Symposium on User Interface Software and …, 2016 | 477 | 2016 |
| 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 | 322 | 2018 |
| Learning human motion models for long-term predictions P Ghosh, J Song, E Aksan, O Hilliges 2017 International Conference on 3D Vision (3DV), 458-466, 2017 | 265 | 2017 |
| In-air gestures around unmodified mobile devices J Song, G Sörös, F Pece, SR Fanello, S Izadi, C Keskin, O Hilliges Proceedings of the 27th Annual ACM Symposium on User Interface Software and …, 2014 | 212 | 2014 |
| Thin-slicing network: A deep structured model for pose estimation in videos J Song, L Wang, L Van Gool, O Hilliges Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 141 | 2017 |
| Two-Stream SR-CNNs for Action Recognition in Videos. Y Wang, J Song, L Wang, L Van Gool, O Hilliges BMVC, 2016 | 115 | 2016 |
| Category level object pose estimation via neural analysis-by-synthesis X Chen, Z Dong, J Song, A Geiger, O Hilliges Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 103 | 2020 |
| Convolutional autoencoders for human motion infilling M Kaufmann, E Aksan, J Song, F Pece, R Ziegler, O Hilliges 2020 International Conference on 3D Vision (3DV), 918-927, 2020 | 83 | 2020 |
| Monocular neural image based rendering with continuous view control X Chen, J Song, O Hilliges Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 82 | 2019 |
| Human body model fitting by learned gradient descent J Song, X Chen, O Hilliges European Conference on Computer Vision, 744-760, 2020 | 79 | 2020 |
| gDNA: Towards Generative Detailed Neural Avatars X Chen, T Jiang, J Song, J Yang, MJ Black, A Geiger, O Hilliges Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 60 | 2022 |
| D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions S Christen, M Kocabas, E Aksan, J Hwangbo, J Song, O Hilliges Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 60 | 2022 |
| Vid2avatar: 3d avatar reconstruction from videos in the wild via self-supervised scene decomposition C Guo, T Jiang, X Chen, J Song, O Hilliges Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 45 | 2023 |
| PINA: Learning a personalized implicit neural avatar from a single RGB-D video sequence Z Dong, C Guo, J Song, X Chen, A Geiger, O Hilliges Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 45 | 2022 |
| Instantavatar: Learning avatars from monocular video in 60 seconds T Jiang, X Chen, J Song, O Hilliges Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 42 | 2023 |
| Shape-Aware Multi-Person Pose Estimation From Multi-View Images Z Dong, J Song, X Chen, C Guo, O Hilliges Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 34 | 2021 |
| Joint estimation of 3D hand position and gestures from monocular video for mobile interaction J Song, F Pece, G Sörös, M Koelle, O Hilliges Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing …, 2015 | 28 | 2015 |
| Fast-SNARF: A Fast Deformer for Articulated Neural Fields X Chen, T Jiang, J Song, M Rietmann, A Geiger, MJ Black, O Hilliges IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 27 | 2023 |
| X-avatar: Expressive human avatars K Shen, C Guo, M Kaufmann, JJ Zarate, J Valentin, J Song, O Hilliges Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 24 | 2023 |
| Human Performance Capture from Monocular Video in the Wild C Guo, X Chen, J Song, O Hilliges 2021 International Conference on 3D Vision (3DV), 889-898, 2021 | 21 | 2021 |
Otmar HilligesProfessor of Computer Science, ETH ZurichAdresse e-mail validée de inf.ethz.ch
