Human-Centric AI for Computer Vision and Machine Autonomy - ICCV'21 Tutorial

Human-Centric AI for Computer Vision and Machine Autonomy - ICCV'21 Tutorial

Bolei Zhou via YouTube Direct link

Toward Human-centric Al

4 of 26

4 of 26

Toward Human-centric Al

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Human-Centric AI for Computer Vision and Machine Autonomy - ICCV'21 Tutorial

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  1. 1 Intro
  2. 2 Success and Challenge of Al
  3. 3 Can Deep Al Models Think like Humans?
  4. 4 Toward Human-centric Al
  5. 5 Al Model for Scene Classification
  6. 6 Explaining the Prediction Class Activation Mapping (CAM)
  7. 7 Explaining Model Prediction
  8. 8 Application to Medical Imaging
  9. 9 Explainable Al for Classification
  10. 10 Quantifying the Interpretability of Individual Units Network Dissection
  11. 11 Key units for classifying Living room
  12. 12 Key units for classifying Restaurant: Tables
  13. 13 Rapid Progress for Image Generation 2014
  14. 14 2021: Text2Image Model from OpenAI
  15. 15 Al Model for Image Generation
  16. 16 Identifying Causality in Latent Space
  17. 17 Pushing Latent Code to the Subspace Latent Space
  18. 18 Steering Generative Model
  19. 19 Steerable Al Model for Generation
  20. 20 Understanding the Role of Individual Units
  21. 21 Unsupervised Learning of Steerable Dimensions
  22. 22 Al Model for Machine Autonomy
  23. 23 Human-in-the-Loop Reinforcement Learning
  24. 24 Improving the diversity of the environment
  25. 25 Generalizability is improved by environment diversity
  26. 26 Impact Areas of Human-Centric Al

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