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Mohamed Sayed Hello! I'm Mohamed, a Research Scientist at Niantic, Inc. I am excited about 3D reconstruction and real-world robust interactive vision systems. My most recent exciting project is SimpleRecon, where we build a state-of-the-art MVS-based monocular depth estimator and show its use for fast accurate 3D reconstruction. I also designed and built the majority of LookOut, an interactive filming-copilot system for automatically pointing a camera during filming for low budget or small-size crews (down to one camera-operator as the base case). |
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Virtual Occlusions Through Implicit Depth Jamie Watson, Mohamed Sayed, Zawar Qureshi, Gabriel Brostow, Sara Vicente, Oisin Mac Aodha, Michael Firman Computer Vision and Pattern Recognition (CVPR) 2023 Project Page, Paper, Code, Video, Bibtex |
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SimpleRecon: 3D Reconstruction Without 3D Convolutions Mohamed Sayed, John Gibson, Jamie Watson, Victor Prisacariu, Michael Firman, Clément Godard European Conference on Computer Vision (ECCV) 2022 Project Page, Paper, Code, Video, Bibtex, |
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LookOut! Interactive Camera Gimbal Controller for Filming Long Takes Mohamed Sayed, Robert Cinca, Enrico Costanza, Gabriel Brostow Transactions on Graphics (ToG) 2022, to be presented at SIGGRAPH 2022 in Vancouver Project Page, Paper, 30s Fast Forward, Video, Filmed Scenes, Bibtex |
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Interactive Sketching of Mannequin Poses Gizem Esra Ünlü, Mohamed Sayed, Gabriel Brostow International Conference on 3D Vision (3DV) 2022 Project Page, Paper, Video, Bibtex |
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Improved Handling of Motion Blur in Online Object Detection Mohamed Sayed, Gabriel Brostow Computer Vision and Pattern Recognition (CVPR) 2021 Project Page, Paper, Video, Code, Bibtex |
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April 2023 - |
Research Scientist, Niantic, Inc. |
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Aug 2022 - Feb 2023, |
Part-time Researcher, Niantic, Inc. Production work for SimpleRecon |
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April - July 2022, |
Research Intern, Disney Research | Studios Controllable Super Resolution and Diffusion Models |
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May - Dec 2021, |
Research Intern, Niantic, Inc. Depth Estimation and 3D Reconstruction Project - Work accepted at ECCV 2022 and patent pending. |
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Spring 2017, |
Software Intern, Valeo Developed automation software for hardware integration testing. Reduced regression testing time significantly. |
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Summer 2016, |
IT Intern, Mercedes-Benz Egypt Recognized by the CEO for reporting and fixing errors and loopholes in the employee time tracking system. |
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September 2018 - |
PhD Student in Computer Vision (University College London) Supervised by Prof. Gabriel Brostow and Dr. Matthew Johnson. |
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September 2017 - September 2018 |
MSc Computer Graphics, Vision, and Imaging (University College London) Distinction and Dean's List. Thesis: "Scripted Camera Control Through Visual Tracking." Thesis mark: 91/100. |
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September 2012 - May 2017 |
Bachelor of Electrical Engineering, Communications & Computer Engineering (Cairo University) Distinction with honors. Thesis: Improving the performance of a widely used Mentor tool with Process Mining. |
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Reviewer |
TPAMI (2022, Journal), IJCV (2022, Journal), SIGGRAPH (2023, Journal/Conference), CVPR (2023, conference), BMVC (2022, conference) |
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University College London |
Voted Best Teaching Assistant (TA) in Computer Science (2018/2019) Machine Vision TA - 2018, 2019, 2020 (head) Computer Graphics TA - 2020 Image Processing TA - 2018, 2019 Computational Photography and Capture TA - 2019, 2020 |
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Melanoma Classification (2016) Built a classifier for diagnosing melanoma skin lesions through dermoscopic images. Supervisor: Prof. Tawfik Ismail. |
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Telescope Guidance System (2016) Amateur astrophotography with an 8-inch Newtonian telescope. Prototyped a telescope guidance system (hardware and software) with an Arduino and the ASCOM platform. Images at astrobin.com/users/DexPrime/. |
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“YallaCode” Android App (2015) Led a team of four to develop the app to teach children how to build basic computer programs. The app featured a built in “block statement” compiler. |
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Musical Glove (2013) Built a “Musical Glove” using Arduino that tracks hand movements and alters musical notes on a synthesizer through a virtual MIDI driver. |
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Languages |
Python, MATLAB, C++, C#, Assembly |
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Deep Learning Libraries |
Pytorch, Tensorflow |
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Useful Tools |
COLMAP, Inkscape, Adobe Photoshop, Adobe After Effects, Google Cloud Compute |
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Hardware |
Arduino, Soldering, 3D Printing, Real-time Control, Serial Communication |
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Hobbies |
Photography, Cooking, Running, Model Making |