Fabian Caba Heilbron
My research interests span computer vision and machine learning. Specifically, I build systems that recognize and detect human activities from videos. Some of my efforts include:
- gathering large-scale video datasets
- developing efficient scanning methods for video analysis
- training models for temporal activity localization
If you want to reach out, please contact me at: fabian.caba [at] kaust.edu.sa
I plan to graduate by Spring of 2019: reach out if my experience fits your team needs.
IVUL [2015-Present]: I am a Research Assistant at IVUL. My work focuses on developing models for human activity understanding. The outcomes of my works are usually published at computer vision conferences (see Publications).
ActivityNet Challenge [2016-Present]: I am one of the leading forces behind organizing the ActivityNet Challenge. I built the infrastructure that allows multiple researchers to test-bed their methods. The challenge has attracted a large number of researchers, and it has been sponsored by several companies including DeepMind, Facebook, and Google AI.
Mantis AI [2017-Present]: I am a co-founder of Mantis AI. Mantis crafts ground-breaking research in deep-learning to perform activity detection and video summarization for content-aware ad placement.
Adobe Research [Summer 2017, Summer 2018]: I was an intern for two consecutive summers at Adobe Research. During these periods I developed: (i) an active learning method for action detection; (ii) a navigation system for video editing purposes.
What do I Annotate Next? An Empirical Study of
Active Learning for Action Localization
Fabian Caba Heilbron, Joon-Young Lee, Hailin Jin, Bernard Ghanem Munich, ECCV 2018. - [Paper] [Project page]
Temporal Action Localization
Humam Alwassel*, Fabian Caba Heilbron*, Bernard Ghanem; * := equal contribution Munich, ECCV 2018. - [Paper] [Project page] [Video]
Humam Alwassel*, Fabian Caba Heilbron*, Victor Escorcia*, Bernard Ghanem
* := equal contribution Munich, ECCV 2018. - [Paper] [Project page] [Code (Github)] [Video]
SCC: Semantic Context Cascade for Efficient Action Detection
Fabian Caba Heilbron, Wayner Barrios, Victor Escorcia, Bernard Ghanem
Hawaii, CVPR 2017. - [Paper] [Poster]
DAPs: Deep Action Proposals for Action Understanding
Victor Escorcia, Fabian Caba Heilbron, Juan Carlos Niebles, Bernard Ghanem
Amsterdam, ECCV 2016. - [Paper] [Code (Github)] [Poster]
Efficient Detection of Human Actions in Untrimmed Videos
Fabian Caba Heilbron, Juan Carlos Niebles, Bernard Ghanem
Las Vegas, CVPR 2016. - [Paper] [Project page] [Code (Github)] [Demo]
Fabian Caba Heilbron, Victor Escorcia, Bernard Ghanem, Juan Carlos Niebles
Boston, CVPR 2015. - [Paper] [Project page] [Code (Github)] [Demo]
Bernard Ghanem, Ali Thabet, Juan Carlos Niebles, Fabian Caba Heilbron
Boston, CVPR 2015. - [Paper] [Project page] [Code] [Data]
Fabian Caba Heilbron, Ali Thabet, Juan Carlos Niebles, Bernard Ghanem
Singapore, ACCV 2014. - [Paper] [Project page]
Fabian Caba Heilbron, Juan Carlos Niebles
Glasgow, ICMR 2014. - [Paper] [Code (Github)]
In God we trust. All others must bring data.
— W. Edwards Deming