| Learning 3d semantic scene graphs from 3d indoor reconstructions J Wald*, H Dhamo*, N Navab, F Tombari Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 199 | 2020 |
| Semantic image manipulation using scene graphs H Dhamo*, A Farshad*, I Laina, N Navab, GD Hager, F Tombari, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 122 | 2020 |
| Peeking behind objects: Layered depth prediction from a single image H Dhamo, K Tateno, I Laina, N Navab, F Tombari Pattern Recognition Letters 125, 333-340, 2019 | 70 | 2019 |
| Graph-to-3d: End-to-end generation and manipulation of 3d scenes using scene graphs H Dhamo*, F Manhardt*, N Navab, F Tombari Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 55 | 2021 |
| Object-driven multi-layer scene decomposition from a single image H Dhamo, N Navab, F Tombari Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 32 | 2019 |
| Human gaussian splatting: Real-time rendering of animatable avatars A Moreau, J Song, H Dhamo, R Shaw, Y Zhou, E Pérez-Pellitero Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 25 | 2024 |
| Unconditional scene graph generation S Garg*, H Dhamo*, A Farshad, S Musatian, N Navab, F Tombari Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 25 | 2021 |
| Migs: Meta image generation from scene graphs A Farshad, S Musatian, H Dhamo, N Navab British Machine Vision Conference (BMVC) 2021, 2021 | 14 | 2021 |
| Headgas: Real-time animatable head avatars via 3d gaussian splatting H Dhamo, Y Nie, A Moreau, J Song, R Shaw, Y Zhou, E Pérez-Pellitero arXiv preprint arXiv:2312.02902, 2023 | 13 | 2023 |
| Swags: Sampling windows adaptively for dynamic 3d gaussian splatting R Shaw, J Song, A Moreau, M Nazarczuk, S Catley-Chandar, H Dhamo, ... arXiv preprint arXiv:2312.13308, 2023 | 5 | 2023 |
| Force: Dataset and method for intuitive physics guided human-object interaction X Zhang, BL Bhatnagar, S Starke, I Petrov, V Guzov, H Dhamo, ... arXiv preprint arXiv:2403.11237, 2024 | 4 | 2024 |
| Vschh 2023: A benchmark for the view synthesis challenge of human heads Y Jang, J Zheng, J Song, H Dhamo, E Pérez-Pellitero, T Tanay, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 4 | 2023 |
| DisPositioNet: Disentangled Pose and Identity in Semantic Image Manipulation A Farshad, Y Yeganeh, H Dhamo, F Tombari, N Navab British Machine Vision Conference (BMVC) 2022, 2022 | 4 | 2022 |
| Object-aware monocular depth prediction with instance convolutions E Simsar, EP Örnek, F Manhardt, H Dhamo, N Navab, F Tombari IEEE Robotics and Automation Letters 7 (2), 5389-5396, 2022 | 2 | 2022 |
| FORCE: Dataset and Method for Intuitive Physics Guided Human-object Interaction G Pons-Moll, E Pérez-Pellitero, H Dhamo, V Guzov, I Petrov, S Starke, ... arXiv, 2024 | | 2024 |
| Scene Understanding and Decomposition for Synthesis and Editing H Dhamo Technische Universität München, 2022 | | 2022 |
| Depth Prediction from Structured Light using Fully Convolutional Neural Networks H Dhamo Technical University of Munich, 2017 | | 2017 |
| SWinGS: Sliding Windows for Dynamic 3D Gaussian Splatting R Shaw, M Nazarczuk, J Song, A Moreau, S Catley-Chandar, H Dhamo, ... | | |
Nassir NavabProfessor of Computer Science, Technische Universität MünchenVerified email at cs.tum.edu
