معرفی
Jie Song is a postdoctoral researcher at ETH Zurich affiliated with the Advanced Interactive Technologies lab. Their work bridges structured information and deep learning pipelines, with applications in hand/body-pose estimation, 3D human reconstruction, and view synthesis.
- Research Interests: Deep Learning, Computer Vision, 3D Reconstruction, Human Pose Estimation, Motion Capture, 6D Pose Estimation
- Affiliation: ETH Zurich, Advanced Interactive Technologies lab
Jie's recent publications (2023-2025) focus on monocular video-based 3D human modeling, Gaussian rendering, and motion synthesis. Collaborations span institutions like ETH Zurich and MPI Tuebingen, with applications in robotics, augmented reality, and sports analytics.
- Scientific Awards: 3DV Best Paper Award (2017), Qualcomm Innovation Fellowship Finalist (2015), Swisscom Innovation Award (2014), Birkigt Scholarship (2013), National Scholarship (2009/2010)
Jie has supervised multiple student projects, including personalized neural avatars and skeleton-based motion modeling. They serve as a Teaching Assistant for courses like Visual Computing and Machine Perception at ETH Zurich.
