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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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.

We present NACNet, a Noise-Aware Deep Sets framework to estimate relative camera pose, given a set of putative matches extracted from two views of a scene. We demonstrate that a position denoising of inliers and noise-free pretraining enable accurate estimation of the essential matrix. Our experiments indicate that our method can handle large numbers of outliers and achieve accurate pose estimation superior to previous methods.

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.

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.

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.

• 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.

• 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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