Computer Vision Meets Social Networks
Alexander Amini and Massachusetts Institute of Technology via YouTube
Overview
This course aims to introduce learners to the intersection of computer vision and social networks. The learning outcomes include understanding low-light image enhancement, mobile pose estimation, fine-grained video attractiveness, video classification, image captioning, and natural language video localization. The course teaches skills such as deep learning techniques, computer vision algorithms, and social network analysis. The teaching method involves lectures delivered by industry experts from companies like Tencent, Google, NVIDIA, and IBM. The intended audience for this course includes individuals interested in deep learning, computer vision, and their applications in social networks.
Syllabus
Intro
Tencent Al Lab
Computer Vision Meets Social Network
Low-light Image Enhancement
Mobile Pose Estimation
Fine-grained Video Attractiveness
Video Classification
Image captioning
Natural Language Video Localization
Taught by
https://www.youtube.com/@AAmini/videos