| Language-agnostic representation learning of source code from structure and context D Zügner, T Kirschstein, M Catasta, J Leskovec, S Günnemann arXiv preprint arXiv:2103.11318, 2021 | 148 | 2021 |
| GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians S Qian, T Kirschstein, L Schoneveld, D Davoli, S Giebenhain, M Nießner Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 106 | 2024 |
| NeRSemble: Multi-View Radiance Field Reconstruction of Human Heads T Kirschstein, S Qian, S Giebenhain, T Walter, M Nießner ACM Transactions on Graphics (TOG) 42 (4), 161:1-14, 2023 | 73 | 2023 |
| End-to-end learning for dimensional emotion recognition from physiological signals G Keren, T Kirschstein, E Marchi, F Ringeval, B Schuller 2017 IEEE International Conference on Multimedia and Expo (ICME), 985-990, 2017 | 61 | 2017 |
| Learning Neural Parametric Head Models S Giebenhain, T Kirschstein, M Georgopoulos, M Rünz, L Agapito, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 41 | 2023 |
| DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars T Kirschstein, S Giebenhain, M Nießner Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 20 | 2024 |
| MonoNPHM: Dynamic Head Reconstruction from Monocular Videos S Giebenhain, T Kirschstein, M Georgopoulos, M Rünz, L Agapito, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 12 | 2024 |
| NPGA: Neural Parametric Gaussian Avatars S Giebenhain, T Kirschstein, M Rünz, L Agapito, M Nießner SIGGRAPH Asia 2024 Conference Papers, 1-11, 2024 | 7 | 2024 |
| GGHead: Fast and Generalizable 3D Gaussian Heads T Kirschstein, S Giebenhain, J Tang, M Georgopoulos, M Nießner SIGGRAPH Asia 2024 Conference Papers, 1-11, 2024 | 4 | 2024 |
| GAF: Gaussian Avatar Reconstruction from Monocular Videos via Multi-view Diffusion J Tang, D Davoli, T Kirschstein, L Schoneveld, M Niessner arXiv preprint arXiv:2412.10209, 2024 | | 2024 |
| GaussianSpeech: Audio-Driven Gaussian Avatars S Aneja, A Sevastopolsky, T Kirschstein, J Thies, A Dai, M Nießner arXiv preprint arXiv:2411.18675, 2024 | | 2024 |
| Supplementary Material: Learning Neural Parametric Head Models S Giebenhain, T Kirschstein, M Georgopoulos, M Rünz, L Agapito, ... | | |
| TUM Data Innovation Lab J Beck, LM Bernhardt, H Chauhan, T Kirschstein, M Maier-Borst, ... | | |
