Education Profile

  • Ph.D., Electrical Engineering, King Abdullah University of Science and Technology (KAUST), Saudi Arabia, 2019
  • M.S. Electronics Engineering, Universidad del Norte, Colombia, 2013
  • ​B.S. Electronics Engineering, Universidad del Norte, Colombia, 2011

Honors & Awards

  • Distinguished master student, Electronics Engineering, Universidad del Norte (Dec 2013)
  • ​COLCIENCIAS National Young Scientist and Innovator Fellowship (Jan 2013)
  • COLCIENCIAS National Young Scientist and Innovator Fellowship (Jan 2012)
  • ​​Distinguished undergraduate student, Electronics Engineering, Universidad del Norte (Sept 2011)​

Fabian Caba Heilbron was a Ph.D. student in Image and Video Understanding Lab (IVUL) Group under the supervision of Prof. Bernard Ghanem at King Abdullah University of Science and Technology (KAUST). He is currently a Research Scientist at Adobe Research in San Jose, California. 

Education and Early Career

Fabian has a Bachelor’s Degree in Electronics Engineering from Universidad del Norte in Barranquilla, Colombia, 2011. In 2013, he received his Master Degree in Electronics Engineering from Universidad del Norte in Barranquilla, Colombia. He joined KAUST as a Ph.D. candidate and received his Ph.D. in Electrical Engineering in 2019. 

He was an intern twice at Adobe (2017, 2018) and once at Amazon Berlin (2018). He is a program chair of the International Challenge on Activity Recognition (ActivityNet), which has been hosted yearly at CVPR since 2016.

Research Interest

His research interests span Computer Vision and Machine Learning. He is particularly interested in video understanding and human activity analysis.

Selected Publications

Heilbron, F. C., Barrios, W., Escorcia, V., & Ghanem, B. (2017). SCC: Semantic Context Cascade for Efficient Action Detection. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). doi:10.1109/cvpr.2017.338
Alwassel, H., Heilbron, F. C., Ghanem, B. (2017). Action Search: Learning to Search for Human Activities in Untrimmed Videos, (Preprint). https://hdl.handle.net/10754/626462
Heilbron, F. C., Niebles, J. C., & Ghanem, B. (2016). Fast Temporal Activity Proposals for Efficient Detection of Human Actions in Untrimmed Videos. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). doi:10.1109/cvpr.2016.211
Heilbron, F. C., Thabet, A., Niebles, J. C., & Ghanem, B. (2015). Camera Motion and Surrounding Scene Appearance as Context for Action Recognition. Lecture Notes in Computer Science, 583–597. doi:10.1007/978-3-319-16817-3_38