معرفی
Dr. Wen Guo is a Researcher at the Department of Health Sciences and Technology (D-HEST) at ETH Zurich, affiliated with the Professorship for Sensory-Motor Systems. Their work focuses on advancing computer vision, robotics, and biomedical engineering through innovative machine learning techniques. Key research interests include human motion prediction, multi-person pose estimation, and gesture generation in complex interactions.
Wen Guo has contributed to high-impact projects such as the UVO Challenge 2021, securing first place in both video-based and image-based open-world segmentation categories. Their research emphasizes real-world applications in safety-critical systems, crowd behavior modeling, and human-robot interaction. Notable methodologies include hierarchical transformer dynamical VAEs for motion generation and pose-interacting networks for 3D pose estimation.
Academic contributions span from foundational work in motion prediction to applied solutions in computer vision challenges. Their lab integrates interdisciplinary approaches, combining deep learning with biomechanical insights to tackle challenges in healthcare and robotics.
