Michael Gygli, Head of AI at gifs.com

Hi and welcome. My name is Michael Gygli and I am the Head of AI at gifs.com, where we use Machine Learning and Computer Vision to make video editing and gif creation intelligent and easy. We are hiring Computer Vision and Machine Learning engineers - please get in touch, if you are interested.

Before that I was a PhD student under the supervision of Prof. Luc Van Gool at the Computer Vision Laboratory of ETH Zurich. The research during my PhD was focused on video summarization, but I am also interested in deep learning, affective attributes, submodularity and data summarization in general.

Check the publications page or my Google Scholar profile for previous publications. I also provide code for some of my work on Github.

Slides for my CVPR tutorial talk "Video Summarization as Subset Selection": Click here


That's me (was, a few years ago)

Highlighted News

2017 July: The PathTrack paper was accepted to ICCV and the query-adaptive summarization paper to ACM Multimedia.
2017 June: Video and slides of my presentation "CNNs in Video analysis - An overview, biased to fast methods" at the ML meetup Zurich are now online.
2017 June: Code for our ICML paper on Deep Value Networks is now available on github.
2017 May: Our pre-print Ridiculously Fast Shot Boundary Detection with Fully Convolutional Neural Networks is now on arXiv.
2017 Jan: I joined gifs.com
2016 Aug-Nov: I was interning at Google Brain.


Recent Papers
ICML 2017

Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs
M. Gygli, M. Norouzi, A. Angelova

arXiv 2017

Ridiculously Fast Shot Boundary Detection with Fully Convolutional Neural Networks
M. Gygli

Transactions on Multimedia 2017

AENet: Learning Deep Audio Features for Video Analysis
N. Takahashi, M. Gygli, L. Van Gool

ICCV 2017

PathTrack: Fast Trajectory Annotation with Path Supervision
S. Manen, M. Gygli, D. Dai, L. Van Gool

ACM MM 2017

Query-adaptive Video Summarization via Quality-aware Relevance Estimation
A. Vasudevan, M. Gygli, A. Volokitin, L. Van Gool