Fadi Khatib

I am a master student in the Department of Computer Science and Applied Mathematics at the Weizmann Institute of Science under the supervision of Prof. Ronen Basri.

I received my B.Sc in Computer Science at the age of 18 from the University of Haifa through the Challenge program, which is designed for exceptional high school students.

My main research interest lies in developing deep learning methods for 3D reconstruction and structure-from-motion tasks.

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Research
clean-usnob RESFM: Robust Equivariant Multiview Structure from Motion
Fadi Khatib, Yoni Kasten, Dror Moran, Meirav Galun, Ronen Basri
Preprint, 2024
/ ArXiv / Project Page

We present a robust solver based on permutation equivariant architecture for the structure from motion problem. Our proposed method can cope with a point track tensor contaminated with many outliers. In addition, we modified the bundle adjustment module to make it robust enough to handle classification errors. Our method achieves high accuracy while reducing the time significantly compared to classical methods.

clean-usnob Leveraging Image Matching Toward End-to-End Relative Camera Pose Regression
Fadi Khatib*, Yuval Margalit*, Meirav Galun, Ronen Basri
CVPR Workshop, 2024
/ ArXiv / Project Page

We propose to leverage Image Matching (IM) as a pre-trained task for relative pose regression. Specifically, we use LoFTR, an architecture that utilizes an attention-based network pre-trained on Scannet, to extract semi-dense feature maps, which are then warped and fed into a pose regression network.


Projects
clean-usnob Emotions Recognition from Hands Movements
Fadi Khatib*, Julian Mour*, Hagit Hel-Or

Developed a method for hands gestures detection, to be used for emotion recognition problem. By utilizing pre-trained models from Google Mediapipe for pose and hand pose estimation.

clean-usnob Mapping Human Viral Proteins
Fadi Khatib, Rachel Kolodny

Worked on mapping human viral proteins, where the goal is to reveal the relation between different viruses by using computational biology methods and applying them to biological databases.


Teaching
clean-usnob Introduction to computer vision course , Winter 2024

Volunteer Experience
  • Initiating various initiatives for the Arab students at the Weizmann Institute of Science:
    • Organizing outreach programs, panels, mentoring sessions, social activities, and many others.
    • Supported by the Diversity and Inclusion Office at the Weizmann Institute.

Awards
  • The Cornell, Maryland, Max Planck Pre-doctoral Research School, 2023.
  • Yoel Meches Memorial Fellowship for excellent students, Weizmann Institute of Science, 2023.
  • The Feinberg Graduate School Diversity Appreciation Certificate for Advancing Equality, Diversity, and Inclusion, Weizmann Institute of Science, 2023.
  • Moshe Horovitz Memorial Fellowship for excellent students, Weizmann Institute of Science, 2022.
  • Summa Cum Laude (B.Sc Computer Science), University of Haifa, 2022.
  • The Israeli Council for Higher Education Scholarship for outstanding master students, 2021-2023.
  • Young Weizmann Scholars Diversity and Excellence Program Scholarship, 2021.
  • "Akavia" Scholarship for outstanding students at the department of CS, University of Haifa, 2021.
  • Dean scholarship (summa cum laude), University of Haifa, 2020.
  • "Akavia" Scholarship for outstanding students at the department of CS, University of Haifa, 2020.
  • The 100 Most Outstanding Students Award at the National Mathematics Olympics, 2018.
  • First place at the "Moofet" National Mathematics Olympics, 2015.

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