معرفی
Dr. Ge Gao is a researcher at the Department of Informatics, University of Hamburg, affiliated with the CV Research Group. His research focuses on 6D object pose estimation, cognitive robotic vision, and deep learning applications in robotics. He holds a PhD in Informatics from the University of Hamburg, completed in 2021.
Education: PhD in Informatics (2021), University of Hamburg. Previously conducted research on occlusion-resistant object pose estimation and saliency-guided segmentation techniques.
Research emphasizes robotics perception, point cloud analysis, and multimodal sensor fusion. His work spans applications from robotic grasp planning to gait analysis using dynamic vision sensors. Key contributions include CloudAAE framework for 6D pose regression and saliency-driven supervoxel segmentation.
Publications (2015–2021) address challenges in 3D object localization, multimodal data processing, and robotic vision systems. Active in conferences like ICRA, ECCV, and IROS.
Labs/Projects: Involved in InteGreatDrones (drone-based robotics), Crossmodal Learning (CML), ahoi digital (crossmodal sensor data collection), and MACS (machine learning applications).
