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.