Shihong Zhang

Kontakt

Email:

sh.zhang[at]tum.de

 

Forschungsschwerpunkte

Shihong Zhang is a PhD candidate at the Technical University of Munich. His research focuses on generative AI for music, with an emphasis on leveraging state-of-the-art models through fine-tuning and deployment. He holds a Master’s degree in Robotics, Cognition, Intelligence from TUM and has prior experience in computer vision.

Lehre

• Team Analytics – Data-Driven Racing Challenge (SoSe 26)

Publikationen

• Wang, S., Zhang, S., Millerdurai, C., Westermann, R., Stricker, D., & Pagani, A. Inpaint360GS: Efficient Object-Aware 3D Inpainting via Gaussian Splatting for 360° Scenes. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2026.