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Photo: © NYU Depth Dataset V2/Nathan Silberman/Ge Gao
Computer Vision

Ge Gao

Ge Gao

Ge Gao

Research Assistant

Office: R-109
Vogt-Kölln-Straße 30
22527 Hamburg
Tel.: +49 40 42883-2591
Email: gao"AT"informatik.uni-hamburg.de

Research Interests

  • mobile robot platform,
  • cognitive robotic vision,
  • deep learning,
  • reinforcement learning,
  • GAN

Publications

2017

  • Ge Gao, Mikko Lauri, Simone Frintrop: Saliency-guided Adaptive Seeding for Supervoxel Segmentation, accepted for IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017

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