معرفی
Yudi Dai is a Postdoctoral Research Fellow at the ETH AI Center, collaborating with Professors Siyu Tang and Christian Holz. He holds a PhD from Xiamen University (2024), where he also completed his B.E. (2016) and M.Sc. (2019). His research focuses on 3D Computer Vision, emphasizing scene mapping, 4D human motion capturing, and human-scene interaction reconstruction. He aims to develop robust methods for understanding human behavior in complex environments.
- Education:
- Ph.D. in Computer Science, Xiamen University, 2024
- M.Sc. in Computer Science, Xiamen University, 2017-2019
- B.E. in Computer Science, Xiamen University, 2016
His research interests include multimodal datasets (e.g., ClimbingCap, SLOPER4D), sensor fusion (IMUs+LiDAR), and human-centric scene capture. Notable contributions include HSC4D for large-scale indoor-outdoor scene reconstruction and HiSC4D for human-scene interaction modeling. His work bridges computer vision, robotics, and sensor technology for applications in AR/VR, autonomous systems, and urban modeling.
Publications span CVPR, TPAMI, and IEEE journals, emphasizing scene-aware human motion analysis and dataset development. Collaborations involve institutions like ShanghaiTech University and the Xiamen University Sensing and Computing Lab. His datasets are widely cited for their focus on real-world, challenging environments.
Current work explores dynamic scene reconstruction, wearable sensor systems, and human-environment interaction modeling. His lab at the ETH AI Center focuses on advancing AI-driven perception in unstructured environments.
