Siyu Tang

Siyu Tang is an Assistant Professor in the Department of Computer Science at ETH Zurich. Her research interests include computer vision, motion and tracking, virtual humans, and machine learning. She is affiliated with ETH Zurich and contributes to academic and research activities within the CS department. Her work focuses on advancing technologies in these areas through innovative methodologies and applications.

Siyu Tang is a researcher at ETH Zürich with expertise in computer vision and machine learning. Their work focuses on advancing techniques for multi-person pose estimation, person re-identification, and 3D semantic instance segmentation. Tang has developed methods such as Deepcut and Mask3D, which address challenges in tracking and modeling human motion. Their research also explores human-object interaction, gaze estimation, and animatable avatars through 3D Gaussian splatting and motion diffusion. Contributions include large-scale datasets like Eth-xgaze and frameworks for motion segmentation and tracking. Tang's research emphasizes the integration of deep learning with geometric modeling to enhance understanding and representation of human behavior in complex environments.