The document discusses various applications and advancements in artificial intelligence and computer vision, referencing prominent works and contributors in the field. It covers deep learning techniques, including convolutional neural networks and graph neural networks, as well as specific use cases like image colorization, semantic segmentation, and OCR. Additionally, it touches on future directions for AI and highlights the need for human-centered artificial intelligence.

1. AI & Vision use cases
2023.9
Ph.D Taewook Kang
laputa99999@gmail.com
daddynkidsmakers.blogspot.com

2. History
beamlab, 2017, DEEP LEARNING 101 - PART 1: HISTORY AND BACKGROUND
Link
Yann LeCun. LeNet5 using CNN
2006, Deep Belief
Network. ReLU,
Dropout

3. History
Deep Belief Networks (DBN) Hinton, G. E, Osindero, S., and Teh, Y. W. (2006). A fast learning
algorithm for deep belief nets. Neural Computation, 18:1527-1554.
Convolutional neural networks running on GPUs (2012) Alex Krizhevsky, Ilya Sutskever,
Geoffrey Hinton, Advances in Neural Information Processing Systems 2012
Deep CNN, GPU, ReLU, Dropout, Deep Belief Network
2013. Google acquired DNN
Link
Yann LeCun.
Chief AI Scientist for Facebook AI Research (FAIR)

4. AI – introduction & cases
Jason Brownlee, 2019, 9 Applications of Deep Learning for Computer Vision,
machine learning mastery

5. AI – introduction & cases
Jason Brownlee, 2019, 9 Applications of Deep Learning for Computer Vision,
machine learning mastery
Link
Image Colorization with U-Net and GAN

6. AI – introduction & cases
Jason Brownlee, 2019, 9 Applications of Deep Learning for Computer Vision,
machine learning mastery
Image inpainting

7. AI – introduction & cases
Alberto Rizzoli, 2022, 27+ Most Popular Computer Vision Applications and Use
Cases in 2022, V7

8. AI – introduction & cases
Alberto Rizzoli, 2022, 27+ Most Popular Computer Vision Applications and Use
Cases in 2022, V7

9. AI – introduction & cases
Alberto Rizzoli, 2022, 27+ Most Popular Computer Vision Applications and Use
Cases in 2022, V7
Tesseract-OCR
Use Google Cloud Vision API to process
invoices and receipts

10. AI – introduction & cases
Alberto Rizzoli, 2022, 27+ Most Popular Computer Vision Applications and Use
Cases in 2022, V7

11. AI – introduction & cases
Alberto Rizzoli, 2022, 27+ Most Popular Computer Vision Applications and Use
Cases in 2022, V7
CRF-RNN for Semantic Image Segmentation
Conditional Random Fields as Recurrent Neural Networks.
Detectron2 CoLab

12. AI – introduction & cases
Alberto Rizzoli, 2022, 27+ Most Popular Computer Vision Applications and Use
Cases in 2022, V7
YOLACT (You Only Look At CoefficienTs)
Detectron

13. AI – introduction & cases
Alberto Rizzoli, 2022, 27+ Most Popular Computer Vision Applications and Use
Cases in 2022, V7

14. AI – introduction & cases
Alberto Rizzoli, 2022, 27+ Most Popular Computer Vision Applications and Use
Cases in 2022, V7

15. AI – introduction & cases
Alberto Rizzoli, 2022, 27+ Most Popular Computer Vision Applications and Use
Cases in 2022, V7
Vision Transformer (ViT)
Link

16. AI – introduction & cases
Alberto Rizzoli, 2022, 27+ Most Popular Computer Vision Applications and Use
Cases in 2022, V7
OpenPose

17. 3D semantic segmentation (Random sampling and an effective local feature aggregator). link
AI – introduction & cases

18. AI – introduction & cases
Benjamin Sanchez, 2021, A Gentle Introduction to Graph Neural Networks,
https://distill.pub/2021/gnn-intro/
GCN (Graph Convolutional Network) CoLab link

19. AI – introduction & cases
Benjamin Sanchez, 2021, A Gentle Introduction to Graph Neural Networks,
https://distill.pub/2021/gnn-intro/
Deforum Stable Diffusion CoLab link (Youtube)

20. AI – introduction & cases
Alberto Rizzoli, 2022, 27+ Most Popular Computer Vision Applications and Use
Cases in 2022, V7
DL papers in Scholar
Example
Example
DeepStream

21. AI – deep learning family
Saravanan Thirumuruganathan, N. Tang, M. Ouzzani, 2018, Data Curation with Deep Learning [Vision]:
Towards Self Driving Data Curation, ArXiv

22. AI Vision Limitation and Future

23. AI Vision Limitation and Future
Vision reasoning
Vision with robotics
Learning without supervision
More AI applications.
https://www.aitech.vision/
Human-Centered AI (HCAI)
https://research.ibm.com/blog/what-is-human-centered-ai
Artificial general intelligence (AGI)
abstract thinking
background knowledge
common sense
cause and effect
transfer learning
Next AI
GCN (Graph Convolutional Network)

24. Thanks
Daddy Makers
(daddynkidsmakers.blogspot.com)
Computer graphics digest on Apple Podcasts
Apple Podcasts －《BIM digest》
Software engineering digest on Apple
Podcasts
laputa99999@gmail.com