| Scatternerf: Seeing through fog with physically-based inverse neural rendering A Ramazzina, M Bijelic, S Walz, A Sanvito, D Scheuble, F Heide Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 6 | 2023 |
| Gated stereo: Joint depth estimation from gated and wide-baseline active stereo cues S Walz, M Bijelic, A Ramazzina, A Walia, F Mannan, F Heide Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 4 | 2023 |
| Single scattering models for radiative transfer of isotropic and cone-shaped light sources in fog S Geiger, A Liemert, D Reitzle, M Bijelic, A Ramazzina, W Ritter, F Heide, ... Optics Express 31 (1), 125-142, 2023 | 1 | 2023 |
| HINT: Learning Complete Human Neural Representations from Limited Viewpoints A Sanvito, A Ramazzina, S Walz, M Bijelic, F Heide arXiv preprint arXiv:2405.19712, 2024 | | 2024 |
| Real-Time Environment Condition Classification for Autonomous Vehicles M Introvigne, A Ramazzina, S Walz, D Scheuble, M Bijelic arXiv preprint arXiv:2405.19305, 2024 | | 2024 |
| Radar Fields: Frequency-Space Neural Scene Representations for FMCW Radar D Borts, E Liang, T Brödermann, A Ramazzina, S Walz, E Palladin, J Sun, ... arXiv preprint arXiv:2405.04662, 2024 | | 2024 |
| Gated Fields: Learning Scene Reconstruction from Gated Videos A Ramazzina, S Walz, P Dahal, M Bijelic, F Heide Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Gated Fields: Learning Scene Reconstruction from Gated Videos (Supplementary Information) A Ramazzina, S Walz, P Dahal, M Bijelic, F Heide | | |
Mario BijelicPrinceton University在 princeton.edu 的电子邮件经过验证
