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Computer Vision Group
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich

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Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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News

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

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Visit my personal webpage for more recent info.

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.

Publications


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Preprints
2020
[]Neural Online Graph Exploration (I Chiotellis and D Cremers), In arXiv preprint arXiv:2012.03345, 2020. ([arxiv]) [bibtex]
Conference and Workshop Papers
2020
[]Effective Version Space Reduction for Convolutional Neural Networks (J Liu, I Chiotellis, R Triebel and D Cremers), In European Conference on Machine Learning and Data Mining (ECML-PKDD), 2020. ([arxiv]) [bibtex] [pdf]
2018
[]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]
2016
[]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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Teaching

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Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:

News

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

More