Deep Learning in Computer Vision
The field of deep learning is rapidly growing and surpassing traditional approaches for machine learning and pattern recognition. Do you know how is Machine Learning/Deep Learning being applied in Computer Vision?
This talk, you will learn about:
- How ML/DL are being applied in Computer Vision (a very old field!)
- Comparision between old methods/algorithms of Computer Vision, and the new approaches using Deep Learning
- Discuss how DL in CV are being done in practice (vs theory)
Speaker: Dang Huynh, Researcher @ Axon Research
Dang Huynh is a researcher in Machine Vision at Axon Research. Prior to joining Axon in 2017, Dang was a researcher in Machine Vision at Misfit where he focused on video-based biometric technology. Before Misfit, he was a research engineer at Nokia Bell Labs, in the Mathematics of Dynamic Systems department from 2011 to 2015. His research interests include machine vision, data science and telecommunication systems. Dang received his Ph.D. degree in Computer Science from University Pierre and Marie Curie (UPMC), France.