Matan Antebi
Computer Vision Research Engineer @General Motors
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WORK HISTORY
Computer Vision Research Engineer @General Motors
Computer Vision and Sensor Fusion for research and development for ADAS and AV- Automated Parking space detection based on Depth from Monocular (DfM)- Using Generative models to define appearance metric.
EDUCATION
Ariel University
Bachelor of Science (B.S.), signal proccessing
Ariel University
Bachelor of Science (BSc), Electrical and Electronics Engineering
Tel Aviv University
Master's degree, Electrical and Electronics Engineering
SKILLS
ABOUT MATAN ANTEBI
Experienced Computer Vision and Machine Learning Engineer in the fields of Autonomous Vehicle(AV)/ Advanced Driver Assistance Systems (ADAS). My researches focused on- Automated parking spot detection system using Depth from Monocular (for Fisheye cameras)- Fisheye Geometric Model- Generative models/ Diffusion Models, evaluating metric for the appearance of single image.My master\'s thesis is on forecasting and generating precipitation maps using deep learning models over Cellular Microwaves Links (CMLs). The focus on- Process the data and metadata for time series networks- Classification (dry/wet) and estimating the virtual rain gauge (based on the attenuation between Tx & Rx sites)- Generates precipitation maps using generative models.Over 5 years of proven development and technological experience in various environments (Windows, Linux/Unix) and many programming languages (Python, C++, MATLAB and etc.).A team player with broad system understanding.I eager to continue expanding my knowledge in state-of-the-art deep learning models and metrices.
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