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Dr Senjian An

The Academic Details listed below present information collected by the University up to the end of 2013 and thus may not represent the full academic record.

Email: senjian.an@uwa.edu.au  
Phone: 64883695


Publications

Mahmood, A., Bennamoun, M., An, S., Sohel, F. 2018, 'Resfeats: Residual network based features for image classification', 2017 IEEE International Conference on Image Processing (ICIP), China, pp. 1597-1601. Detail

Mahmood, A., Bennamoun, M., An, S., Sohel, F., Boussaid, F., Hovey, R., Kendrick, G., Fisher, R. 2018, 'Deep Image Representations for Coral Image Classification', IEEE JOURNAL OF OCEANIC ENGINEERING,  Detail

Ke, Q., Bennamoun, M., An, S., Sohel, F., Boussaid, F. 2017, 'A New Representation of Skeleton Sequences for 3D Action Recognition', 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3288-3297. Detail

Mahmood, A., Bennamoun, M., An, S., Sohel, F., Boussaid, F., Hovey, R., Kendrick, G., Fisher, R. 2017, Deep Learning for Coral Classification in Handbook of Neural Computation, Academic Press , London Detail

Ke, Q., An, S., Bennamoun, M., Sohel, F., Boussaid, F. 2017, 'SkeletonNet: Mining Deep Part Features for 3-D Action Recognition', IEEE SIGNAL PROCESSING LETTERS, pp. 731-735. Detail


More Publications...

Grants

Winthrop Professor Mohammed Bennamoun, Mr Hossein Rahmani, Dr Senjian An, Mr Syed Shah, Professor Kamal Youcef-Toumi 2017, 'Advanced Robotics with 3D Computer Vision for Automatic Healthcare Monitoring', UWA Research Collaboration Awards.

Winthrop Professor Mohammed Bennamoun, Dr Ferdous Sohel, Professor Farid Boussaid, Dr Senjian An 2012, 'Round 1 (2012) - Advanced Vision System for Automatic Shark Detection and Tracking', WA Office of Science Applied Research Program ARP Shark Hazard Mitigation.


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Students

2015 PhD. Dr Hayat. Supervised by: Dr An, Prof Bennamoun







Managed by: CSP Development (contact us)
CRICOS Code: 00126G