Fabian Caba Heilbron

I am a Ph.D. candidate at KAUST advised by Professor Bernard Ghanem. I was fortunate to work with Juan Carlos Niebles during my master studies at Universidad del Norte.

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

Professional Experience

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]

Action Search: Spotting Targets in Videos and Its Application to
Temporal Action Localization

Humam Alwassel*, Fabian Caba Heilbron*, Bernard Ghanem; * := equal contribution
Munich, ECCV 2018. - [Paper] [Project page] [Video]

Diagnosing Error in Temporal Action Detectors
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]

Fast Temporal Activity Proposals for
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]

ActivityNet: A Large-Scale Video Benchmark for Human Activity Understanding
Fabian Caba Heilbron, Victor Escorcia, Bernard Ghanem, Juan Carlos Niebles
Boston, CVPR 2015. - [Paper] [Project page] [Code (Github)] [Demo]

Robust Manhattan Frame Estimation from a Single RGB-D Image
Bernard Ghanem, Ali Thabet, Juan Carlos Niebles, Fabian Caba Heilbron
Boston, CVPR 2015. - [Paper] [Project page] [Code] [Data]

Camera Motion and Surrounding Scene Appearance as Context for Action Recognition
Fabian Caba Heilbron, Ali Thabet, Juan Carlos Niebles, Bernard Ghanem
Singapore, ACCV 2014. - [Paper] [Project page]

Collecting and Annotating Human Activities in Web Videos
Fabian Caba Heilbron, Juan Carlos Niebles
Glasgow, ICMR 2014. - [Paper] [Code (Github)]

In God we trust. All others must bring data.
W. Edwards Deming