Contextual and Bottom-Up Attention-Guided Large-Scale Visual Inferences
University of Central Florida via YouTube
Overview
This course focuses on teaching learners how to make large-scale visual inferences using contextual and bottom-up attention guidance. The course covers topics such as neuroscience, unsupervised object discovery, computational neuroscience, multiple instance learning, gesture recognition, and classification. The teaching method involves a guest presentation by Dr. Zhuowen Tu. The course is designed for individuals interested in advanced visual inference techniques and computational neuroscience.
Syllabus
Intro
BottomupAttentionGuided Neuroscience
Unsupervised Object Discovery
Computational Neuroscience
Attention Points
Objects
Multiple Instance Learning
Google
Generic Dictionary
Fixed Point Theory
Gesture Recognition
Manifold Learning
SelfDiffusion
Classification
Conclusion
Taught by
UCF CRCV