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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., Boussaid, F., Hovey, R., Kendrick, G., Fisher, R. 2017, Deep Learning for Coral Classification in Handbook of Neural Computation, Academic Press  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

Zhang, J., Sohel, F., Bennamoun, M., Bian, H., An, S. 2017, 'NSCT-based fusion method for forward-looking sonar image mosaic', IET Radar Sonar and Navigation, 11, 10, pp. 1512-1522. Detail

Hayat, M., Khan, S., Bennamoun, M., An, S. 2016, 'A spatial layout and scale invariant feature representation for indoor scene classification', IEEE TRANSACTIONS ON IMAGE PROCESSING, 25, 10, pp. 4829-4841. Detail

Ke, Q., Bennamoun, M., An, S., Boussaid, F., Sohel, F. 2016, 'Human interaction prediction using deep temporal features', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), , 9914 LNCS, pp. 403-414. Detail


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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







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CRICOS Code: 00126G