Lecture notes

  1. Signals and Systems 1. (in Hungarian)

  2. Experimental physics 1. (in Hungarian)

Presentations

  1. Object detection (PDF)
  2. Tutorial: Contrastive learning for unpaired image-to-image translation (PDF)
  3. Tutorial: Automated driving feature validation (PDF)

Programs, source codes

  1. SPF-IQA: No-reference image quality assessment based on the fusion of statistical and perceptual features (MATLAB)
  2. GSF-IQA: No-reference image quality assessment with global statistical features (MATLAB)
  3. MultiGAP-NRIQA: Multi-Pooled Inception Features for No-Reference Image Quality Assessment (MATLAB)
  4. ActMapFeat: A Combined Full-Reference Image Quality Assessment Method Based on Convolutional Activation Maps (MATLAB)
  5. MSDF-IQA: No-Reference Image Quality Assessment with Multi-Scale Orderless Pooling of Deep Features (MATLAB)
  6. FDD-IQA: Analysis of Benford's law for no-reference quality assessment of natural, screen-content, and synthetic images (MATLAB)
  7. FDD+Perceptual-VQA: No-reference video quality assessment based on Benford's law and perceptual features (MATLAB)
  8. DF-CNN-IQA: No-Reference Image Quality Assessment with Convolutional Neural Networks and Decision Fusion (Jupyter Notebook)
  9. LGV: Full-Reference Image Quality Assessment Based on Grünwald–Letnikov Derivative, Image Gradients, and Visual Saliency (MATLAB)
  10. SWLGV: Full-Reference Image Quality Assessment Based on Grünwald–Letnikov Derivative, Image Gradients, and Visual Saliency (MATLAB)
  11. FLG-IQA: No-Reference Quality Assessment of Authentically Distorted Images Based on Local and Global Features (MATLAB)
  12. SG-ESSIM: Saliency-Guided Local Full-Reference Image Quality Assessment (MATLAB)
  13. LFD-IQA: A Human Visual System Inspired No-Reference Image Quality Assessment Method Based on Local Feature Descriptors (MATLAB)
  14. SGL-IQA: No-Reference Image Quality Assessment Using the Statistics of Global and Local Image Features (MATLAB)
  15. SSIM CNN (MATLAB)
  16. BLIINDER (MATLAB)
  17. CNN-SVR: No-Reference Video Quality Assessment Based on the Temporal Pooling of Deep Features (MATLAB)
  18. CNN-LSTM: No-reference video quality assessment via pretrained CNN and LSTM networks (MATLAB)
  19. JPEG2000 image quality (MATLAB)
  20. Autocorrelation with Wiener-Khinchin-theorem (C++)
  21. Gomoku (MATLAB)
  22. IIR and FIR filters (MATLAB MEX)
  23. Color reduction using k-Means (MATLAB)
  24. Color reduction using SOM (MATLAB)
  25. Color reduction using FCM (MATLAB)
  26. Image generation using GAN (Python)
  27. TRON (MATLAB)
  28. Visualization of ML algorithms (R)
  29. Water rendering (C++)
  30. Pixelization (C++)
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