Anil Armagan

Research Associate at Imperial Computer Vision & Learning Lab,

Department of Electrical and Electronic Engineering,

Imperial College London, South Kensington,

London, SW7 2AZ, UK


Google Scholar | Resume

Bio Summary

I'm currently a research associate at the Imperial Computer Vision & Learning Lab, Imperial College London under the supervision of Dr. Tae-Kyun Kim. I obtained a PhD degree in Sep, 2018 from the Institute for Computer Graphics and Vision, TU Graz under the supervision of Prof. Vincent Lepetit. My research interests are Computer Vision and Machine Learning algorithms, more specifically 3D hand pose estimation and camera localization for urban environments. I received my M.Sc. and B.Sc. Degrees in 2014 and 2012 respectively, at Dep. of Computer Engineering, Bilkent University. During his M.Sc. he worked on Multimedia Event Detection in videos under supervision of Prof. Pinar Duygulu.



Anil Armagan, Martin Hirzer, Peter M. Roth and Vincent Lepetit,

In Proc. British Machine Vision Conf. (BMVC), 2017. Spotlight.

Anil Armagan, Martin Hirzer, Peter M. Roth and Vincent Lepetit

In Proc. Workshop of the Austrian Association for Pattern Recognition (OAGM/AAPR), 2017. Oral.

Anil Armagan, Martin Hirzer, Peter M. Roth and Vincent Lepetit

In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2017. Poster.

Anil Armagan, Martin Hirzer and Vincent Lepetit

In Proc., Joint Urban Remote Sensing Event (JURSE), 2017. Oral, Best Paper Award.


  • CMU Informedia@ Trecvid 2014: Semantic Indexing

Lu Jiang, Xiaojun Chang, Zexi Mao, Anil Armagan, Zhengzhong Lan, Xuanchong Li, S Yu, Yi Yang, Deyu Meng, Pinar Duygulu-Sahin, Alexander Hauptmann


  • Toward an estimation of user tagging credibility for social image retrieval

Alexandru Lucian Ginsca, Adrian Popescu, Bogdan Ionescu, Anil Armagan, Ioannis Kanellos

Proceedings of the 22nd ACM international conference on Multimedia, 1021-1024


  • MUCKE Participation at Retrieving Diverse Social Images Task of MediaEval 2013.

Anil Armagan, Adrian Popescu, Pinar Duygulu

MediaEval 1043

  • Scene classification with random forests and object and color distributions

Ahmet İşcen, Eren Gölge, Anil Armağan, Pinar Duygulu

Signal Processing and Communications Applications Conference (SIU), 2013