Bio

I am a computer vision and machine learning researcher, a member of the Visics group, KU Leuven. I have obtained my PhD degree from KU Leuven where I worked under the supervision of prof. Tinne Tuytelaars . My research interests lie in transfer learning and continual learning where I believe that the learning of machines should never stop as we humans do.
From Nov 2018 to Feb 2019 I was in a research visit to Mila working on Continual Learning with Dr. Min Lin and prof. Yoshua Bengio.
Before, I attended the Machine Learning and Data Mining MLDM joint master program between Jean Monnet University, France and University of Alicante, Spain. My research during master's degree was focused on Domain Adaptation for both computer vision and medical imaging.
I have a computer science engineering degree with artificial intelligence specialization from Damascus University, Syria.

Articles

Online Continual Learning with Maximally Interfered Retrieval
Rahaf Aljundi*, Lucas Caccia*, Eugene Belilovsky*, Massimo Caccia*, Min Lin, Laurent Charlin, Tinne Tuytelaars in 2019 Conference on Neural Information Processing (NeurIPS'19).
 

Gradient based sample selection for online continual learning
Rahaf Aljundi, Min Lin, Baptiste Goujaud, Yoshua Bengio in 2019 Conference on Neural Information Processing (NeurIPS'19).
 

Task-Free Continual Learning
R Aljundi*, K Kelchtermans* and T Tuytelaars in Computer Vision and Pattern Recognition, 2019 (CVPR'19).
 

Selfless Sequential Learning
R Aljundi, M Rohrbach and T Tuytelaars in International Conference on Learning Representations, 2019 (ICLR'19).
   

Memory Aware Synapses: Learning what (not) to forget
R Aljundi, F Babiloni, M Elhoseiny, M Rohrbach and T Tuytelaars in European Conference on Computer Vision, 2018 (ECCV'18).
     

Continual Learning with Hebbian Synapses
R Aljundi and T Tuytelaars in Continuous and Open-Set Learning workshop (CVPR 2017).
 

Encoder Based Lifelong Learning
AR Triki*, R Aljundi*, MB Blaschko and T Tuytelaars in International Conference on Computer Vision, 2017 (ICCV'18)
   


Expert Gate: Lifelong Learning with a Network of Experts
R Aljundi, P Chakravarty, T Tuytelaars in Computer Vision and Pattern Recognition, 2017 (CVPR'17).
   


Who’s that Actor? Automatic Labelling of Actors in TV series starting from IMDB Images
R Aljundi*, P Chakravarty*, T Tuytelaars in Asian Conference on Computer Vision, 2016 (ACCV'16).
 


Lightweight Unsupervised Domain Adaptation by Convolutional Filter Reconstruction
R Aljundi, T Tuytelaars in ECCV'16 workshop, TASK-CV: Transferring and Adapting Source Knowledge in Computer Vision
   


Transfer Learning for Prostate Cancer Mapping Based on Multicentric MR imaging databases
R Aljundi, J Lehaire, F Prost-Boucle, O Rouviere, C Lartizien in ICML'15 Workshop on Machine Learning meets Medical Imaging.
 

Landmarks-based kernelized subspace alignment for unsupervised domain adaptation
R Aljundi, R Emonet, D Muselet, M Sebban in Computer Vision and Pattern Recognition, 2015 (CVPR'15).
 

Awards

Get In Touch

If you have any question or suggestion, don't hesitate to contact me:

  • Address

    ESAT - PSI, Processing Speech and Images Kasteelpark Arenberg 10 - box 2441
    3001 Leuven
    Belgium
  • Phone

    +32 16 32 01 11
  • Email

    rahaf.aljundi@gmail.com