Louise Naud
AI / ML scientist
- Role
- Scientist at Docugami
- Location
- New York, NY, US
- LinkedIn followers
- 500 followers
About Louise Naud
ML/CV Research Scientist with Green card. I graduated from Ecole Normale Superieure de Cachan, France, in 2015 as a MSc student in Mathematics and Machine Learning. I did my master thesis at the California Institute of Technology, where I was working on joint training Deep Neural Networks and Max Margin Markov Networks applied to Stereo Imaging in the EE (Pr Perona) and GPS departments (Pr Avouac). I have been working in start ups ever since.I was previously working as a research analyst in Prof. Perona\'s group at Caltech; my work revolved around social behavior recognition among mice. I worked on improving a boosted regression algorithm to detect to pose of animals with a 3D sensor. Beforehand, I worked at Thales, at the VisionLab (a mixt Thales / CEA team) on intelligent video surveillance systems. I was also working on two european projects (Sercur-ED and ProtectRail) and on the 3D-Zenith project (demonstrator for Thales TechnoDays 2012). During this time, I had the opportunity to work on ways to extract video descriptors and on the implementation of an artificial retina (presented at THALES research days 2013).I worked at the Center of Mathematical Morphology on real time and robust algorithms for smart video surveillance applications, as a research engineer. I developped a DLL for Sagem Sécurité (worldwide leader in biometrics) to segment motion zones in camera fields. I had the opportunity to use Morph-M and Mamba, mathematical morphology based librairies. In order to satisfy real time expectations, these librairies use SSE2.I also had the opportunity to lead meetings with up to 7 partners (from both the industry and universities).Specialties: Image/video processing, software development, Mathematical Morphology, Statistics, C/C++, Python, Java, MATLAB, OpenCV, Visual C++.
Experience
Scientist
Jul 2023 — Present · New York, NY, US
Table Structure Recognition (Metrics improved by 25+% wrt previous system)- DETR / DINO / EVA- Highly scalable Document Clustering / Information Discovery - LLMs / VLMs in Euclidean / Hyperbolic spaces
Education
Universidad Politécnica de Madrid
Networks, Project Management
2006 — 2006
Lycée Condorcet
Maths, Physics
2003 — 2004
Telecom Bretagne
Engineering Degree, Image Processing
2004 — 2007
Ecole Normale Supérieure de Cachan
Master's Degree, Mathematics and Machine Learning
2014 — 2015
Skills
- Statistics
- Matlab
- Convex Optimization
- C++
- Java
- Linux
- Mathematical Modeling
- Algorithms
- Video Processing
- Software Development
- Python
- Latex
- Visual C++
- Signal Processing
- Physics
- Data Science
- Computer Science
- Image Processing
- Mathematics
- Data Analysis
- Computer Vision
- Machine Learning
- Big Data
- Opencv
- Applied Mathematics
- Research
- Digital Image Processing
- Software Engineering
- Morphology
- Text Categorization
- C
- Programming
Find verified contacts for anyone on LinkedIn
Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.
Free plan included · No credit card required
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.