teaching
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“Computer Science Principle” (CSE101 - SUNY Korea - Since 2023)
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“Perception for autononous and connected vehicles” (PD803 - KAIST - 2019 to 2021) Best Teaching Award from the Department of Future Vehicle :
- Lecture 1: Introduction
- Lecture 2: ICP
- Lecture 3: Cameras Geometry
- Lecture 4: Keypoints detection, description & matching
- Lecture 5: Deep learning-based matching
- Lecture 6: Epipolar Geometry
- Lecture 7: Triangulation & RANSAC
- Lecture 8: Stereo Vision
- Lecture 9: Deep Stereo Vision & multi-view reconstruction
- Lecture 10: Visual Odometry
- Lecture 10: Visual localization
- Lecture 11: Semantic segmentation
- Lecture 12: Connected vehicles
- “Numerical Analysis” (Fall Semester 2014, International bachelor in Computer Vision, Université de Bourgogne) I was also module coordinator of “Computer Aided Design”:
- Root finding
- Numerical optimization (Gradient descent, Gauss-Newton, Levenberg-Marquardt)
- RANSAC
- polynomial interpolation
- And more …
- “Mathematics” (Fall Semester 2013) DUT Génie électrique 2eme année (instructed in French): Linear algebra, root finding, …
- “Signal Processing” (Fall Semester 2013) DUT Mesure Physique 2eme année (instructed in French). I was in charge of the practical sessions
- “Numerical Analysis” (Spring Semester 2013) DUT Mesure Physique 2eme année (instructed in French). I was in charge of the practical sessions
- “Image Processing” (Fall Semester 2012) Licence 3 CIVA: Controle Industriel par Vision Artificielle (instructed in French). Introduction to Matlab, Edge detection, image binarization, image interpolation, histogram adjustment, hough transform, …
- “Image Processing” (Fall Semester 2012) C++ programming practice for the International Master VIBOT