Technische Universität München Robotics and Embedded Systems
 

Guang

 

Research Associate

E-Mail guang@in.tum.de
Room MI 03.07.054
Phone +49.89.289.18112
Fax +49.89.289.18107
Address Institut für Informatik VI
Technische Universität München
Boltzmannstraße 3
85748 Garching bei München
Germany
Homepage https://www6.in.tum.de/Main/Guang
Dr. rer. nat. Guang Chen
 

Curriculum Vitæ

Project

Thesis Topics (Computer Vision, Robotics, Intelligent Vehicle):

Teaching

Awards

Publications

[1] Zhuangyi Jiang, Zhenshan Bing, Kai Huang, Guang Chen, Long Cheng, and Alois Knoll. Event-based target tracking control for a snake robot using a dynamic vision sensor. In International Conference On Neural Information Processing (ICONIP), November 2017. [ .bib ]
[2] Zhenshan Bing, Long Cheng, Kai Huang, Zhuangyi Jiang, Guang Chen, Florian Röhrbein, and Alois Knoll. Towards autonomous locomotion: Slithering gait design of a snake-like robot for target observation and tracking. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 2017. [ .bib ]
[3] Gereon Hinz, Guang Chen, Muhammad Aafaque, Florian Rohrbein, Jorg Conradt, Zhenshan Bing, Zhongnan Qu, Walter Stechele, and Alois Knoll. Online multi-object tracking-by-clustering for intelligent transportation system with neuromorphic vision sensor. In the 40th German Conference on Artificial Intelligence(KI 2017), September 2017. [ .bib ]
[4] Mingchuan Zhou, Hessam Roodaki, Abouzar Eslami, Guang Chen, Kai Huang, Mathias Maier, Chris P. Lohmann, Alois Knoll, and M. Ali Nasseri. Needle segmentation in volumetric optical coherence tomography images for ophthalmic microsurgery. In Applied Sciences, July 2017. [ .bib | .pdf ]
[5] Guang Chen, Zhenshan Bing, Florian Rohrbein, Jorg Conradt, Kai Huang, Long Cheng, Zhuangyi Jiang, and Alois Knoll. Towards brain-inspired learning with the neuromorphic snake-like robot and the neurorobotic platform. In IEEE Transactions on Cognitive and Developmental Systems, June 2017. accepted. [ .bib ]
[6] Biao Hu, Uzair Sharif, Rajat Koner, Guang Chen, Kai Huang, Feihu Zhang, Walter Stechele, and Alois Knoll. Random finite set based bayesian filtering with opencl in a heterogeneous platform. In Sensors, April 2017. [ .bib | .pdf ]
[7] Zhenshan Bing, Long Cheng, Guang Chen, Florian Röhrbein, Kai Huang, and Alois Knoll. Towards autonomous locomotion: Cpg-based control of smooth 3d slithering gait transition of a snake-like robot. Bioinspiration & Biomimetics, 12(3):035001, 2017. [ DOI | .bib ]
[8] Guang Chen, Daniel Clarke, Manuel Giuliani, Andre Gaschler, and Alois Knoll. Combining unsupervised learning and discrimination for 3d action recognition. In Signal Processing, Elsevier, 2015. accepted. [ .bib ]
[9] Marina S. L. Mocker, Manuel Schiller, Robert Brem, Zuguang Sun, Hicham Tazi, Thomas F. Eibert, and Alois Knoll. Combination of Full Wave Methods and Ray Tracing for Radiation Pattern Simulations of Antennas on Vehicle Roofs. In Antennas and Propagation (EUCAP), 2015 9th European Conference on, 2015. [ .bib ]
[10] Guang Chen, Daniel Clarke, David Weikersdorfer, Manuel Giuliani, Andre Gaschler, and Alois Knoll. Multi-modality gesture detection and recognition with un-supervision, randomization and discrimination. In ChaLearn Looking at People Workshop, European Conference on Computer Vision (ECCV2014), September 2014. [ .bib ]
[11] Guang Chen, Manuel Giuliani, Daniel Clarke, Andre Gaschler, and Alois Knoll. Action recognition using ensemble weighted multi-instance learning. In IEEE International Conference on Robotics and Automation (ICRA), June 2014. [ .bib | .pdf ]
[12] Guang Chen, Daniel Clarke, and Alois Knoll. Learning weighted joint-based features for action recognition using depth camera. In The 9th International Conference on Computer Vision Theory and Applications(VISAPP), January 2014. [ .bib ]
[13] Guang Chen, Feihu Zhang, Daniel Clarke, Christian Buckl, and Alois Knoll. Learning weighted joint-based features for action recognition using depth camera. In The 9th International Conference on Computer Vision Theory and Applications(VISAPP), January 2014. [ .bib ]
[14] Guang Chen, Daniel Clarke, Feihu Zhang, and Alois Knoll. Learning to track multi-target online by boosting and scene layout. In The 12th International Conference on Machine Learning and Applications (ICMLA13), December 2013. [ .bib | .pdf ]
[15] Feihu Zhang, Hauke Staehle, Guang Chen, Christian Buckl, and Alois Knoll. Multiple vehicle cooperative localization under random finite set framework. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), November 2013. [ .bib | .pdf ]
[16] Feihu Zhang, Carsten Simon, Guang Chen, Christian Buckl, and Alois Knoll. Cumulative error estimation from noisy relative measurements. In 16th International Conference on Intelligent Transport Systems (ITSC), October 2013. [ .bib | .pdf ]
[17] Guang Chen, Feihu Zhang, Manuel Giuliani, Christian Buckl, and Alois Knoll. Unsupervised learning spatio-temporal features for human activity recognition from rgb-d video data. In Proceedings of the International Conference on Social Robotics (ICSR 2013), October 2013. [ .bib ]
[18] Feihu Zhang, Guang Chen, Hauke Staehle, Christian Buckl, and Alois Knoll. Visual odometry based on random finite set statistics in urban environment. In Intelligent Vehicles Symposium (IV), 2012 IEEE, June 2012. [ DOI | .bib | .pdf ]
[19] Feihu Zhang, Hauke Staehle, Guang Chen, Chao Chen, Carsten Simon, Christian Buckl, Alois Knoll, and Gerhard Schrott. A sensor fusion approach for localization with cumulative error elimination. In Proceedings of 2012 IEEE International Conference on Multisensor Fusion and Information Integration (MFI 2012), 2012. [ DOI | .bib | .pdf ]