About me
I am a postdoctoral researcher at the IBME, University of Oxford, working with Professor Alison Noble. I have completed my DPhil (PhD) at the Visual Geometry Group (VGG), University of Oxford, advised by Professor Andrew Zisserman and Professor Weidi Xie. My research focuses on Video Understanding via Single and Multi-Modal learning, particularly from challenging datasets as in the clinical setting. I was also a member of the Centre for Doctoral Training in Autonomous Intelligent Machines & Systems (AIMS).
Originally from Rabat, Morocco, I completed my Engineering degree in signal and image processing at ENSEIRB-MATMECA in Bordeaux, France, followed by a Master’s Degree in applied mathematics with a focus on machine learning and computer vision (MVA) at Ecole Normale Superieure, Paris area, where I also had the chance to work on perception solutions for autonomous driving at Valeo.
Recent Highlights
What makes a camouflage effective?
— Hala (@hala_lamdouar) October 3, 2023
Check out our paper @ICCV23: “The Making and Breaking of Camouflage” Joint work w/ @WeidiXie & Andrew Zisserman @Oxford_VGG
arXiv: https://t.co/Cm8Xwp4vsC
Poster: Wednesday 4th, 10:30 AM-12:30 PM at Room "Nord" 061 by the amazing @TengdaHan pic.twitter.com/pofCkxqbTs
Check out our latest work on “Segmenting Invisible Moving Objects” at @BMVCconf (w/ @WeidiXie and Andrew Zisserman)
— Hala (@hala_lamdouar) November 25, 2021
Project page: https://t.co/ladZeSKFRa pic.twitter.com/Bz2wQvtI1G
Check out our paper at @ICCV_2021!
— charig yang (@chaaarig) October 3, 2021
Self-supervised Video Object Segmentation by Motion Grouping (w/ @hala_lamdouar, @erika_lu_, Andrew Zisserman & @WeidiXie)
Project page (paper+video+code): https://t.co/hNNJoOFlXc pic.twitter.com/nPntXAxZ9K
Glad to have had the opportunity to collaborate with this amazing research team as part of the #FDL2021 summer program. Looking forward to sharing our results today! @NASA @NASAAmes @SETIInstitute @FDL_AI #FDL https://t.co/5QsHnSpHJk
— Hala (@hala_lamdouar) August 13, 2021
Check out our latest work @ACCV2020 #ACCV2020 with Charig Yang, @WeidiXie and Andrew Zisserman.
— Hala (@hala_lamdouar) November 29, 2020
We introduce MoCA, a challenging dataset for detecting camouflaged animals in videos🦎
Paper: https://t.co/vBuvOzGqSS
Poster sessions: 6-8am on Monday and 1-3pm GMT on Tuesday pic.twitter.com/U5XBOCJJ1x