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Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich

Home Members John Chiotellis

John Chiotellis

PhD StudentTechnische Universität München

Department of Computer Science
Informatik 9
Boltzmannstrasse 3
85748 Garching

Tel: +49-89-289-17752
Fax: +49-89-289-17757
Office: 02.09.058
Mail: ioannis.chiotellis@in.tum.de

Find me on github.

Research Interests

I am interested in Artificial Intelligence, Machine Learning and Robotics. In particular, I think a lot about

  • metric learning - because everything is relative,
  • space partitioning - because you have to divide to conquer,
  • reinforcement learning - because you have to act if you want to change the future.

For the last part, I consider how agents integrate information over time, reason and make intelligent decisions.

Brief Bio

I received my B.Sc. in Computer Science from the Technical Educational Institute of Athens in 2012 and my M.Sc. in Computer Science (Robotics, Cognition, Intelligence) from the Technical University of Munich in 2015. Since October 2015, I am a PhD student in the Computer Vision Research Group, headed by Prof. Dr. Daniel Cremers at TUM.


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Conference and Workshop Papers
[]Effective Version Space Reduction for Convolutional Neural Networks (Liu, Jiayu, Chiotellis, Ioannis, Triebel, Rudolph and Cremers, Daniel), In European Conference on Machine Learning and Data Mining (ECML-PKDD), 2020. ([arxiv]) [bibtex]
[]Incremental Semi-Supervised Learning from Streams for Object Classification (I. Chiotellis, F. Zimmermann, D. Cremers and R. Triebel), In International Conference on Intelligent Robots and Systems (IROS), 2018. ([code]) [bibtex] [pdf]
[]Learning to Drive using Inverse Reinforcement Learning and Deep Q-Networks (S. Sharifzadeh, I. Chiotellis, R. Triebel and D. Cremers), In , NIPS Workshops, 2016. ([arxiv]) [bibtex] [pdf]
[]Non-Rigid 3D Shape Retrieval via Large Margin Nearest Neighbor Embedding (I. Chiotellis, R. Triebel, T. Windheuser and D. Cremers), In European Conference on Computer Vision (ECCV), 2016. ([code]) [bibtex] [pdf]
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Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching