Dr. Ge Gao

• 6 DoF pose estimation
• cognitive robotic vision
• deep learning

2021

• Ge Gao: Learning 6D Object Pose from Point Clouds, PhD thesis, 2021, [PDF]
• Ge Gao, Mikko Lauri, Xiaolin Hu, Jianwei Zhang, Simone Frintrop: CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds, Proceeding of International Conference on Robotics and Automation (ICRA), 2021, [PDF], [Code]

2020

• Ge Gao, Mikko Lauri, Yulong Wang, Xiaolin Hu, Jianwei Zhang and Simone Frintrop: 6D Object Pose Regression via Supervised Learning on Point Clouds, Proceeding of International Conference on Robotics and Automation (ICRA) 2020, [PDF], [Code]

2019

• Zhen Deng, Ge Gao, Simone Frintrop, Fuchun Sun, Changshui Zhang, Jianwei Zhang, Attention based visual analysis for fast grasp planning with a multi-fingered robotic hand, in Frontiers in Neurorobotics, 2019, DOI: 10.3389/fnbot.2019.00060, [Paper], [PDF]

2018

• Ge Gao, Mikko Lauri, Jianwei Zhang, Simone Frintrop: Occlusion Resistant Object Rotation Regression from Point Cloud Segments, Proceeding of the ECCV workshop on Recovering 6D Object Pose, 2018, [PDF], [arXiv]
  
  

2017

• Ge Gao, Mikko Lauri, Jianwei Zhang, Simone Frintrop: Saliency-guided Adaptive Seeding for Supervoxel Segmentation,  IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017, [PDF], [arXiv], [code and more details]

2016

• Ge Gao, M. Kyrarini, M. Razavi, Xingchen Wang and A. Gräser: Comparison of Dynamic Vision Sensor-Based and IMU-based systems for ankle joint angle gait analysis, 2016 2nd International Conference on Frontiers of Signal Processing (ICFSP), Warsaw, 2016, pp. 93-98.

2015

• Ristic-Durrant D., Gao G., Leu A.: Low-level sensor fusion-based human tracking for mobile robot, Facta Universitatis, Series: Automatic Control and Robotics, 2015