Bio Summary
I am a proactive Computer Vision/Machine Learning Engineer driven by a deep passion for leveraging innovative ideas to positively impact society. My expertise lies in the dynamic intersection of Computer Vision and Machine Learning, particularly in the realm of 3D reconstruction and visual pose estimation algorithms from images and videos. My hands-on experience includes successfully implementing and refining these algorithms for tasks such as reconstructing digital entities and estimating poses of articulated and rigid objects.
Throughout my career, I have had the privilege of taking on leadership roles, guiding MSc./PhD students, and spearheading collaborative projects with industry partners. This experience has not only strengthened my technical skills but also honed my ability to translate cutting-edge research into practical solutions. I am excited about the prospect of bringing my skills in machine learning, problem-solving, and collaborative leadership to contribute to impactful projects in a dynamic engineering role.
I previously worked as a research associate at Huawei Noah's Ark Lab. I finished my post-doctoral studies at Imperial Computer Vision & Learning Lab, Imperial College London under the supervision of Prof. 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 my M.Sc. I worked on Multimedia Event Detection in videos under supervision of Prof. Pinar Duygulu.
Publications
2023
On the Importance of Accurate Geometry Data for Dense 3D Vision TasksH. Jung, P. Ruhkamp, G. Zhai, N. Brasch, Y. Li, Y. Verdie, J. Song, Y. Zhou, A. Armagan, S. Ilic, A. Leonardis, N. Navab, B. Busam. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2023.
2020
Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction Anil Armagan, Guillermo Garcia-Hernando, Seungryul Baek, ..., Gregory Rogez, Vincent Lepetit, Tae-Kyun Kim European Conference on Computer Vision (ECCV), 2020.
Tackling Two Challenges of 6D Object Pose Estimation: Lack of Real Annotated RGB Images and Scalability to Number of Objects Juil Sock*, Pedro Castro*, Anil Armagan, Guillermo Garcia-Hernando and Tae-Kyun Kim. International Conference on 3D Vision (3DV), 2020.
Accurate 6D Object Pose Estimation by Pose Conditioned Mesh Reconstruction Pedro Castro, Anil Armagan and Tae-Kyun Kim. In Proc. of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020.
2017
Accurate Camera Registration in Urban Environments Using High-Level Feature Matching (bib) Anil Armagan, Martin Hirzer, Peter M. Roth and Vincent Lepetit, In Proc. British Machine Vision Conference (BMVC), 2017. Spotlight.
3D Localization in Urban Environments from Single Images (bib) Anil Armagan, Martin Hirzer, Peter M. Roth and Vincent Lepetit In Proc. Workshop of the Austrian Association for Pattern Recognition (OAGM/AAPR), 2017. Oral.
Learning to Align Semantic Segmentation and 2.5D Maps for Geolocalization (bib) Anil Armagan, Martin Hirzer, Peter M. Roth and Vincent Lepetit In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2017. Poster.
Semantic Segmentation for 3D Localization in Urban Environments (bib) Anil Armagan, Martin Hirzer and Vincent Lepetit In Proc., Joint Urban Remote Sensing Event (JURSE), 2017. Oral, Best Paper Award.
2014
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. TRECVID, 2014.
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, 2014
2013
MUCKE Participation at Retrieving Diverse Social Images Task of MediaEval 2013. Anil Armagan, Adrian Popescu, Pinar Duygulu. MediaEval 2013.
Scene classification with random forests and object and color distributions Ahmet İşcen, Eren Gölge, Anil Armagan, Pinar Duygulu Signal Processing and Communications Applications Conference (SIU), 2013.