Teaching
Materials for courses I have taught.
2022 winter (University of Trento) Multimodal Machine Learning
2023 Spring (Beijing Jiaotong University) Digital Image Processing
- Introduction (week 1)
- Orthogonal Transform (week 2)
Fourier Transform
Fast Fourier Transform - Orthogonal Transform (week 3)
Discrete Cosine Transform (DCT)
Walsh-Hadamard Transform (WHT) - Image Enhancement (week 4)
Histogram Equalization - Image Enhancement (week 5)
Histogram Specification/Matching
Image Smoothing: Lowpass Spatial Filters
2023 Fall (Beijing Jiaotong University) Artificial Intelligence Generated Content
- Chapter1：Image Generation Model - Variational AutoEncoder (VAE)
- Chapter2：Image Generation Model - Generated Adversarial Network (GAN)
- Chapter3：Image Generation Model - Neural Radiance Fields (NeRF)
- Chapter4：Image Generation Model – Diffusion Model
- Chapter5：Image Generation Application: Image-to-Image Translation
- Chapter6：Image Generation Application: Image Inpainting
- Chapter7：Image Generation Application: Super Resolution
- Chapter8：Cross Modal Generation: Text2Image Generation & Contrastive Language-Image Pre-training (CLIP)
You can get all the slides of this course here.