AI/ML developer
CV, NLP & DL developer
Research & Development
Software development
Isabelle Eysseric
AI/ML Developer | Specialized in Computer Vision (CV), Natural Language Processing (NLP) and Deep Learning (DL).
Contact Info
E-mail: isabelleysseric@gmail.com
City: Montreal, Quebec, Canada
Language: French (Native), English (intermediate)
PRESENTATION
Artificial intelligence (AI) developer and master's student in AI at Laval University. I am specialized in computer vision (2D or 3D), automatic language processing and robotics.
SUMMARY
Vision projects
Vision internship
Robotics club
VISION PROJECTS
Classification of bird songs by species
Signal processing
Analysis and Extraction of Spectrogram Image Information
Kaggle Competition: Birdcall Identification
Language: Python, Libraries: Pytorch, LibRosa and OpenCV, Model: CNN
See the Birdcall-identification project
Image search engine
Indexing and Search by pictorial content
Language: MATLAB, Libraries: Simulink Student Suite
See the Image-search-engine project
Recognition of Quebec road signs
Convolutional Neural Network with learning transfer
Language: Python, Libraries: PyTorch, TorchVision and PIL, Model: CNN
See the Traffic-sign-detector project
Moving object tracking
Kernel method with the particle filter approach
Language: MATLAB, Libraries: Simulink Student Suite, Vision
See the Moving-object-tracking project
Detection of vertebral anomalies
Segmentation & Image Extraction
Language: MATLAB, Libraries: Simulink Student Suite
See the Anomaly-detection project
VISION INTERNSHIP
Computer Vision Research Assistant
Development of a semantic segmentation algorithm
Vision and digital systems laboratory (LVSN) · Laval University, Quebec, Canada
May 2022 - August 2022 · 4 months (Remotly)
Jean-François Lalonde (Supervisor & Professor)
Programming language: Python, Lua
Libraries: PyTorch, Tensorflow, Keras
Skills: Secure Shell Communication Teamwork Keras TensorFlow Linux Research
project Computer vision Research, analysis and synthesis of scientific articles
Computer Vision Deep Learning Artificial Intelligence Project Management Python PyTorch
scikit learn OpenCV
See the Computer-Vision-Research-Project.
- Task 1: Research and analyze different semantic segmentation algorithms for panoramic images.
- Task 2: Experiment with the selected algorithms on a few databases (COCO, Matterport3D and others).
- Task 3: Segment the laboratory database with the chosen model and put the results on the server.
ROBOTICS CLUB
Expert in Computer Vision
Perception: Obstacle Detection and Recognition
Laval University Autonomous Vehicle (VAUL)
2019 - 2022 (Remotely)
Autonomous Snowplow Competition (ASC) &
Canadian Automated Snow Plow Initiative (CASPI / CAVCOE)
Supervisor: (professor)
François Pomerleau
Language: Python, Libraries: OpenCV, Open3D, PyntCloud
Simulator: Gazebo, Rviz
Data: Lidar and camera using Robot Operating System (ROS)
See the VAUL project
- Task 1: Research and analyze different perception algorithms: obstacle detection and recognition.
- Task 2: Experiment with selected algorithms on a few databases.
- Task 3: Deploy the selected simulator in production conditions on the Laval University NorLab laboratory server and write the documentation.