- MonoGraspNet: 6-DoF Grasping with a Single RGB Image. 2023 IEEE International Conference on Robotics and Automation (ICRA), IEEE, 2023 mehr…
- CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graphs. Thirty-seventh Conference on Neural Information Processing Systems, 2023 mehr…
- Towards Long-Term Retrieval-Based Visual Localization in Indoor Environments With Changes. IEEE Robotics and Automation Letters 8 (4), 2023, 1975-1982 mehr…
- VoxNeRF: Bridging Voxel Representation and Neural Radiance Fields for Enhanced Indoor View Synthesis. arXiv preprint, under review, 2023 mehr…
- Bending Graphs: Hierarchical Shape Matching using Gated Optimal Transport. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022 mehr…
- SceneGraphFusion: Incremental 3D Scene Graph Prediction from RGB-D Sequences. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2021 mehr…
- SCFusion: Real-time Incremental Scene Reconstruction with Semantic Completion. 2020 International Conference on 3D Vision (3DV), IEEE, 2020 mehr…
M.Sc. Shun-Cheng Wu
Informatics 16 - Chair of Computer Aided Medical Procedures (Prof. Navab)
Postal address
Postal:
Boltzmannstr. 3
85748 Garching b. München
- Phone: work +49 (89) 289 - 19435
- Room: 5613.03.035
- Homepage
- shuncheng.wu@tum.de
Research Interests
- 3D reconstruction
- Scene understanding
- SLAM
Teaching
| 2022 | |
| Seminar | Recent Trends in 3D Computer Vision & Deep Learning (2022 SoSe) |
| Praktikum | Advanced Topics in 3D Computer Vision (2021SoSe) |
| 2021 | |
| Seminar | Computer Vision and Deep Learning for Autonomous Driving (2021WiSe) |
| Praktikum | Praktikum on 3D Computer Vision (2021WiSe) |
| Seminar | GDLMA: Graph Deep Learning for Medical Applications
|
| 2020 | |
| Seminar | Computer Vision and Deep Learning for Autonomous Driving (2020WiSe)
|
| Praktikum/Lab | Perception and Learning in Robotics and Augmented Reality (2020SoSe)
|
| 2019 | |
| Seminar | Computer Vision and Deep Learning for Autonomous Driving (2019WiSe) |
| Seminar | Recent Trends in 3D Computer Vision and Deep Learning (2019WiSe) |
| Seminar | Computer Vision and Deep Learning for Autonomous Driving (2019SoSe) |
Student Projects
| Available | |
| Check our student project page: https://intranet.in.tum.de/pages/50z6k2npwvvurhjikhvcj5ukf/Offers | |
| Running | |
| MA | |
| Finished | |
| MA | 2019 A study of existing self-supervised depth estimations (Yinglong Feng, Shun-Cheng Wu, Federico Tombari) |
| MA | 2020 Deep implicit network for single-view textured 3D reconstruction (KuanShun Wu, Shun-Cheng Wu, Federico Tombari) |
| MA | 2021 Visual-LiDAR Instance-Level Mapping (Chenguang Huang, Shun-Cheng Wu, Federico Tombari) with ETH |
| MA | 2022 Discovering Graph Neural Networks for Indoor 3D Scene Representation (Fabiola Pasini, Evin Pınar Örnek, Shun-Cheng Wu, Federico Tombari) with Università degli studi di Parma [code] |
| MA | 2022 Camera Localization in Changing Environments (Julia Kabalar, Shun-Cheng Wu, Federico Tombari) |