Asano_talk_20180905

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The document discusses the development of deep learning and AI in China. It describes how deep learning has achieved success in image recognition tasks like ImageNet, leading to the growth of many Chinese AI companies. Some of the largest companies include Face++, JD AI, Alibaba, Tencent, and Sensetime. These companies are motivated to use AI to reduce costs, gain profits through applications like recommendations, and gain fame. They also collaborate extensively with academics through publications and student programs.

Science

The ImageNet Challenge for Image
Recognition
• It is fundamental task for AI to recognize the images
• Whether the image is dog, cat, or car
• The Imagenet task for large scale image recognition task
• 1k labels with 1.2 Million images

The outbreaks of Deep Learning /Ai
• CNN has shown supremacy in Imagenet recognition task
• Surpassed the manually crafted features in image recognition

The Evolution of Deep Learning
• From Alexnet (8 layers) to ResNet (152 layers)
• Deeper layers will bring stronger performance

The End of Imagenet Competition in
2017
• The SENet by Jie Hu(Momenta)

The trace of Imagnet Competition in
history

Solution to the visual recognition Problem
• Heated COCO challenge for Image Detection, Segmentation,
key point recognition
• These problems can be solved by the Deep CNN

Baseline Algorithm
• PSPNet for Semantic Segmentation

More details in 2018 COCO+Mapillary
Workshop
• We can talk about this in Q&A session

Potential Applications for the AI research
• Autonomous Driving Vehicles and Robots

Other Application of Deep Learning in
Computer vision
• Image Synthesis with GAN
• 3D and Motion Estimation
• Style Transfer

The Chinese Tycoons in AI Industry
• Face++ (Jian Sun, Yichen Wei from MSRA)
• JD AI （Bowen Zhou from IBM Watson, Xiaodong He from MSR）
• Alibaba(Xiaofeng Ren from Amazon)
• Tencent AI & Youtu lab(Dong Yu and Zhengyou Zhang from
MSR, Jiaya Jia )
• Sensetime(Xiaoou Tang and Xiaogang Wang)
• Etc…

The Motivations for AI business
• To reduce the operating cost
• The chatbot can replace the human customer service
• Reduce the cost of transportation by self-driving vehicles, drones
• Even AI Programmers is under way……

The Motivations for AI business
• To gain more Profits with AI
• Personal ads for user
• User Recommendation system
• To attract more Venture Capital
• Sell AI Products

The Motivations for AI business
• To gain the fame and popularity with AI

The Interactions with the Academics
• Dozens of Publication on top conferences and Journals each
year
• The Internship and Joint Ph.D Program for the students

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Asano_talk_20180905

1. The Ubiquitous AI in China

2. Background knowledge of Deep Learning

3. The ImageNet Challenge for Image Recognition • It is fundamental task for AI to recognize the images • Whether the image is dog, cat, or car • The Imagenet task for large scale image recognition task • 1k labels with 1.2 Million images

4. The outbreaks of Deep Learning /Ai • CNN has shown supremacy in Imagenet recognition task • Surpassed the manually crafted features in image recognition

5. The Evolution of Deep Learning • From Alexnet (8 layers) to ResNet (152 layers) • Deeper layers will bring stronger performance

6. Chinese Players in Imagenet2016

7. The End of Imagenet Competition in 2017 • The SENet by Jie Hu(Momenta)

8. The trace of Imagnet Competition in history

9. Solution to the visual recognition Problem • Heated COCO challenge for Image Detection, Segmentation, key point recognition • These problems can be solved by the Deep CNN

10. Baseline Algorithm • Mask RCNN

11. Baseline Algorithm • PSPNet for Semantic Segmentation

12. COCO+ Mapillary Panoptic Segmentation

13. More details in 2018 COCO+Mapillary Workshop • We can talk about this in Q&A session

14. Potential Applications for the AI research • Autonomous Driving Vehicles and Robots

15. Other Application of Deep Learning in Computer vision • Image Synthesis with GAN • 3D and Motion Estimation • Style Transfer

16. The AI Storm in China

17. The AI Companies in China

18. The Chinese Tycoons in AI Industry • Face++ (Jian Sun, Yichen Wei from MSRA) • JD AI （Bowen Zhou from IBM Watson, Xiaodong He from MSR） • Alibaba(Xiaofeng Ren from Amazon) • Tencent AI & Youtu lab(Dong Yu and Zhengyou Zhang from MSR, Jiaya Jia ) • Sensetime(Xiaoou Tang and Xiaogang Wang) • Etc…

19. The Motivations for AI business • To reduce the operating cost • The chatbot can replace the human customer service • Reduce the cost of transportation by self-driving vehicles, drones • Even AI Programmers is under way……

20. The Motivations for AI business • To gain more Profits with AI • Personal ads for user • User Recommendation system • To attract more Venture Capital • Sell AI Products

21. The Motivations for AI business • To gain the fame and popularity with AI

22. The Interactions with the Academics • Dozens of Publication on top conferences and Journals each year • The Internship and Joint Ph.D Program for the students

23. Thanks • Q & A s

Asano_talk_20180905

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