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Dr Gaetan Bahl

Senior Machine Vision Engineer

NXP Semiconductors

I am a Machine Learning Engineer specialized in Deep Learning for Computer Vision. I joined NXP in 2022 after finishing my PhD on Deep Learning architectures for onboard satellite image analysis, under the supervision of Florent Lafarge at Inria. My main interest is embedded computer vision using AI. I am also interested in photography, music, motorcycles and gaming.

Recent Publications

Single-Shot End-to-end Road Graph Extraction

We propose a method that combines a Fully Convolutional Network and a Graph Neural Network to efficiently extract road networks from aerial images in a single pass.

Gaetan Bahl, Mehdi Bahri, Florent Lafarge

Single-Shot End-to-end Road Graph Extraction

SCR: Smooth Contour Regression with Geometric Priors

This paper presents a method that captures resolution-free object contours as complex periodic functions.

Gaetan Bahl, Lionel Daniel, Florent Lafarge

SCR: Smooth Contour Regression with Geometric Priors

Scanner Neural Network for On-board Segmentation of Satellite Images

Using 1D convolutional LSTM to efficiently process satellite images of arbitrary length.

Gaetan Bahl, Florent Lafarge

Binary Graph Neural Networks

We present and evaluate different strategies for the binarization of graph neural networks. We show that through careful design of the models, and control of the training process, binary graph neural networks can be trained at only a moderate cost in accuracy.

Mehdi Bahri, Gaetan Bahl, Stephanos Zafeiriou

Low-Power Neural Networks for Semantic Segmentation of Satellite Images

Designing lightweight encoder-decoder networks using depth-wise separable convolutions for onboard satellite image analysis.

Gaetan Bahl, Lionel Daniel, Matthieu Moretti, Florent Lafarge

Low-Power Neural Networks for Semantic Segmentation of Satellite Images

Projects

Cloud segmentation and Boat detection on Jetson Nano and Raspberry Pi at AzurIA

Training lightweight convolutional neural networks for real-time embedded processing of aerial images.

Cr'Hope (Hope for Crop)

Insect pest detection and recognition, with simulation of spread on edge device.

Airbus Pixel Factory Neo

Pixel Factory suite represents a state-of-the-art industrial geo-processing system designed to produce a wide range of cartographic end product of unparalleled quality.

CARAPAS surgery simulator

Took part in the creation of a patient-specific surgery simulator based on CT scans and a biomechanical model of the hip, using Artisynth, a physics simulation framework in Java.

BPM detection using Wavelets

Detect time-based rhythmic features and retrieve the tempo of the song.

Fast image segmentation using Level Sets

I implemented a level set algorithm from Yan Wang and Chuanjiang He and used it for image segmentation.

Flocking simulation using SFML, OpenMP and OpenCL

Bird-oids, or Boids, are flying in flocks and try to avoid the mouse pointer. The goal is to have as many boids as possible while maintaining an acceptable framerate.

Reaction-Diffusion model for population simulation

We chose to work on a 2D simulation of the evolution of a population using a Reaction-Diffusion model.

Simulation of the air-cooling of electric components

We simulate the cooling of a PCB and two CPU’s using Finite Elements in the FreeFem++ software.

Dice Recognition in OpenCV using K-Nearest Neighbor algorithm and Support Vector Machines

The goal is to read numbers on dice and compute the score using OpenCV and the K-Nearest Neighbor algorithm or Support Vector Machines.

Ensimag arcade machine

Fixing and modifying an old arcade machine to play SEGA Genesis games

Music genre recognition using Fourier Transform and Wavelets

The goal is to recognize the genre of a music piece using features extracted from the FFT and DWT.

Contribution to ARM Compute Library

Implementation of computer vision algorithms in ARM NEON during my internship at ARM.

Introduction to Lab Research

Viscosity solutions and associated numerical schemes

Network optimization using a bio-inspired algorithm

Studying the behaviour of Physarum polycephalum, a slime mold that is able to find its way through labyrinths as well as build short and robust networks to feed itself.

Guitar string simulation

Modelling and simulation of a guitar string and an eardrum in Scilab using finite differences

JPEG encoder and decoder in C

Professional Experience

Senior Machine Vision Engineer

NXP Semiconductors

May 2022 – Present Sophia Antipolis, France

Responsibilities include:

Research and optimization of deep learning algorithms for embedded image processing.
Training teams on AI/ML/DL topics
University relations: teaching at local university

Machine Learning Engineer

AzurIA

February 2022 – May 2022 Sophia Antipolis, France

Embedded computer vision (boat detection, cloud segmentation, anomaly detection) on Jetson Nano and Raspberry Pi. Demo.

PhD Student

Inria / IRT Saint-Exupéry

February 2019 – February 2022 Sophia Antipolis, France

Deep Learning architectures for onboard satellite image analysis.

Software Engineer

Airbus Defense and Space / Meritis

October 2017 – February 2019 Sophia Antipolis, France

Development of an aerial image processing pipeline for ortho-image and digital terrain model production on Google Cloud. Semantic segmentation of 3D city models.

Software Engineering Intern

TIMC-IMAG Lab

February 2017 – October 2017 Grenoble, France

Worked on a patient-specific surgery simulator in Java using a physics simulation framework (Artisynth)

Software Engineering Intern

ARM

June 2016 – September 2016 Cambridge, United Kingdom

Computer Vision and Image Processing Internship

Software Engineering Intern

CEA

June 2015 – August 2015 Grenoble, France

Created and optimised an R package for the analysis of High Throughput Screens.

Other activities

Teaching Polytech’ Nice Deep learning course. Labs in Python.
Reviewer: TVCJ, IJCV, ISPRS Ph&RS, ESWA, CVPR, EARTHVISION, IGARSS, ECCV, …
Hobbies: Photography, Music (Piano, Trombone, Computer-assisted music), Videomaking, Streaming, Video games, Board games, Tabletop RPGs, Motorcycling

Gallery