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News

October 1st 2018 Cees and I appeared on Dutch television (Nieuwsuur) to talk about the braindrain in AI.
August 2nd 2018 Our paper was accepted at the ECCV 2018 workshop on brain-driven computer vision.
July 17th 2018 I was interviewed by the Dutch television channel NOS about the popularity of AI studies.
June 20th 2018 Our journal paper submitted to IJCV is now available as preprint on arXiv.
May 10th 2018 We will present our short paper as poster at the FIVER workshop at CVPR 2018.
March 6th 2018 Our paper is accepted at CVPR 2018 as spotlight presentation.
Oct. 1st 2017 Started as teaching assistant for the Deep Learning course at the UvA.
May 1st 2016 Started as teaching assistant for the Information Visualization course at the UvA.
Feb. 1st 2016 Started my Ph.D. in Computer Science at QUVA Deep Vision lab.
Sept. 9th, 2015 Presented our paper on high-speed object detection at NCCV 2015.
Aug. 18th, 2015 Defended my Master's thesis on high-speed object detection for autonomous driving.

Publications

ECCV-W - Subitizing with Variational Autoencoders

Subitizing with Variational Autoencoders

Rijnder Wever, Tom F.H. Runia
ECCV 2018 - Workshop on Brain-Driven Computer Vision
Paper | Code

IJCV - Repetition Estimation

Repetition Estimation

Tom F.H. Runia, Cees G.M. Snoek, Arnold W.M. Smeulders
Under review at IJCV.
Paper | Code | Dataset

CVPR 2018 - Real-World Repetition Estimation by Div, Grad and Curl

Real-World Repetition Estimation by Div, Grad and Curl

Tom F.H. Runia, Cees G.M. Snoek, Arnold W.M. Smeulders
CVPR 2018 (Spotlight Presentation)
Paper | Poster | Project Page | Code | Dataset | Spotlight Video

CVPR 2018 - Master's Thesis - High-Speed Object Detection

Master's Thesis: High-Speed Object Detection

Tom F.H. Runia (Advisors: Marco Loog, Robert Lukassen)
Presented at NCCV 2015
Thesis | Paper | Poster

About Me

I am Tom Runia, PhD researcher at the University of Amsterdam working on Deep Learning under the supervision of professor Cees Snoek and Arnold Smeulders. Before coming to Amsterdam, I obtained a BSc. degree in Applied Physics and MSc. degree in Computer Science, both from Delft University of Technology. For my Master thesis, I interned at TomTom research lab in Eindhoven, where I worked on accelerating object detection algorithms for autonomous driving applications. My main research interests are in learning video representations, visual counting, temporal modeling and deep learning. For the last two years, I have been teaching assistant for the Deep Learning course at the University of Amsterdam. Motivated students are welcome to write me about project supervision.

Contact Details

Tom Runia
University of Amsterdam
Science Park 904, Room C3.250A
1098XH Amsterdam
The Netherlands
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