Jianbo Shi

Jianbo's group is developing vision algorithms for both human and image recognition. Their ultimate goal is to develop computation algorithms to understand human behavior and interaction with objects in video, and to do so at multiple levels of abstractions: from the basic body limb tracking, to human identification, gesture recognition, and activity inference. Jianbo and his group are working to develop a visual thinking model that allows computers not only to understand their surroundings, but also to achieve higher level cognitive abilities such as machine memory and learning.

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Robotics: Perception (Coursera) Coursera
University of Pennsylvania

Robotics: Perception (Coursera)

Embark on a journey into the fascinating world of robotics perception with this comprehensive online course. Learn how robots perceive their surroundings, navigate complex environments, and manipulate objects through advanced techniques such as image processing, feature extraction, optical flow analysis, 3D modeling, grasping algorithms, visual odometry, and localization methods. This course is designed for those interested in the intersection of computer vision, robotics, and artificial intelligence.

Jan 13th 2025
4 Weeks
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