From Academia to Industry: Computer Vision with Deep Learning
summary
Covers teaching computers to see and interpret the world using deep learning-based computer vision, highlighting how increased data availability is changing the field. Presents concrete examples from the presenter’s work (company, NGO and PhD) and surveys recent developments in academia and industry.
AI-written summary · about
chapters (9)
- 0:00Introduction
- 7:27Computer vision origins
- 11:14Detection methods evolution
- 12:58Convolutional neural networks
- 19:44Current practical applications
- 23:35Academia to industry transition
- 28:49Success cases and collaborations
- 30:16PET project: social solution
- 35:51Course and closing
related talks
37mComputer Vision for Coders
44mComputer Vision in Practice
20mComputer Vision: From Facial Recognition to Image Analysis
40mArtificial Intelligence in Computer Vision
35mBeyond painting buttons: computer vision techniques
26mComputer Vision in the Era of Deep Learning
04mUsing Computer Vision to Understand Big Visual Data
21mRecognizing Human features using Deep Networks