{C28} M. S. Ryoo, K. Kim, and H. J. Yang*, “Extreme low resolution activity recognition with multi-Siamese embedding learning,” AAAI Conference on Artificial Intelligence (one of the top AI conferences, acceptance rate=24.6%), New Orleans, Louisiana, Feb. 2018.

[C28] M. S. Ryoo, Kiyoon Kim, Hyun Jong Yang*, “Extreme low resolution activity recognition with multi-Siamese  embedding learning,” AAAI Conference on Artificial Intelligence (one of the top AI conferences, acceptance rate=24.6%), New Orleans, Louisiana, Feb. 2018. [arXiv]   Abstract This paper presents an approach for recognition of human activities from extreme low resolution (e.g., 16×12) videos. Extreme low resolution… Continue reading

A new research project on “Self-powered Miniature Nationwide Mobile Position Tracker System Technology”, funded by IITP ITRC.

In this project, we study and develop a communication/network system for active mobile trackers working without any extra power source. In the mother project, fundamental technologies underpinning a self-powered miniature nationwide mobile position tracker system are developed. As the third sub-project, we develop wide area sensor communication network systems to support the active trackers.