I am postdoctoral researcher at King Abdullah University of Science and Technology (KAUST) working with Prof. Bernard Ghanem. I completed my Phd at the University of Amsterdam, advised by Prof. Cees Snoek. My area of interest is Video Understanding, with my PhD thesis (which you can find here ) focussing on Video-Efficient Foundation Models. I am particularly interested in training foundation models via self-supervised learning from multiple modalities of the video data.

Contact: fida.thoker *at* kaust.edu.sa

News & Activities


Publications


FLORO: A Multimodal Geospatial Foundation Model for Ecological Remote Sensing Across Sensors and Scales
Jorge L. Rodriguez, Victor Angulo Morales, Areej Alwahas, Mariana Elias Lara, Fida Mohammad Thoker, Kasper Johansen, Bernard Ghanem, Fernando T. Maestre, Matthew F. McCabe
Preprint (Arxiv), 2026.
[Webpage] [arXiv] [Code]
MedCTA: A Benchmark for Clinical Tool Agents
Tajamul Ashraf, Hyewon Jeong, Fida Mohammad Thoker, Bernard Ghanem
Preprint (Arxiv), 2026.
[Webpage] [Arxiv] [Code]
Structured-Noise Masked Modeling for Video, Audio and Beyond
Aritra Bhowmik*,Fida Mohammad Thoker*, Carlos Hinojosa*, Bernard Ghanem, Cees G. M. Snoek
European Conference on Computer Vision (ECCV), Oral, 2026.
[Webpage] [arXiv] [Code]
TrackMAE: Video Representation Learning via Track Mask and Predict
Renaud Vandeghen*, Fida Mohammad Thoker*, Marc Van Droogenbroeck, Bernard Ghanem
Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
[Webpage] [arXiv] [Code]
SEVERE++: Evaluating Benchmark Sensitivity in Generalization of Video Representation Learning
Fida Mohammad Thoker, Letian Jiang, Chen Zhao, Piyush Bagad, Hazel Doughty, Bernard Ghanem, Cees G. M. Snoek
Arxiv (Pre-print), 2025.
[Webpage] [arXiv] [Code]
SMILE: Infusing Spatial and Motion Semantics in Masked Video Learning
Fida Mohammad Thoker, Letian Jiang, Chen Zhao, Bernard Ghanem
Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
[Webpage] [arXiv] [Code]
LocoMotion: Learning Motion-Focused Video-Language Representations
Hazel Doughty,Fida Mohammad Thoker, Cees Snoek
Asian Conference on Computer Vision (ACCV), 2024 (Oral).
[Webpage] [arXiv] [Code]
SIGMA: Sinkhorn-Guided Masked Video Modeling
Mohammadreza Salehi*, Michael Dorkenwald*, Fida Mohammad Thoker*, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano
European Conference on Computer Vision (ECCV), 2024.
[Webpage] [arXiv] [Code]
Tubelet-Contrastive Self-Supervision for Video-Efficient Generalization
Fida Mohammad Thoker, Hazel Doughty, Cees Snoek
International Conference on Computer Vision (ICCV), 2023.
[Webpage] [arXiv] [Code]
How Severe is Benchmark-Sensitivity in Video Self-Supervised Learning?
Fida Mohammad Thoker, Hazel Doughty, Piyush Bagad, Cees Snoek
European Conference on Computer Vision (ECCV), 2022.
[Webpage] [arXiv] [Code]
Skeleton-Contrastive 3D Action Representation Learning
Fida Mohammad Thoker, Hazel Doughty, Cees Snoek
ACM International Conference on Multimedia (ACMMM), 2021
[arXiv] [Code]
Feature-Supervised Action Modality Transfer
Fida Mohammad Thoker, Cees Snoek
IEEE International Conference on Pattern Recognition (ICPR), 2020
[arXiv]
CROSS-MODAL KNOWLEDGE DISTILLATION FOR ACTION RECOGNITION
Fida Mohammad Thoker, Juergen Gall
IEEE International Conference on Image Processing (ICIP), 2019
[arXiv]

Academic Service



Reviewer: BMVC 2020, CVIU 2021, Nuerips 2021, ICCV 2021, ECCV 2022, ACCV 2022, CVPR 2023, ICCV 2023

Teaching



Teaching Assistant: Deep Learning for Visual Recognition (MSc Computer Science Univerisity of Bonn)
Teaching Assistant: Technical Neural Networks (MSc Computer Science Univerisity of Bonn)