{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

{J20} B. C. Jung, S. M. Kim, W.-Y. Shin, and H. J. Yang*, “Optimal multiuser diversity in multi-cell MIMO uplink networks: user scaling law and beamforming design,” MDPI Entropy, vol. 19, no. 393, pp. 1-14, 2017.

{J20} B. C. Jung, S. M. Kim, W.-Y. Shin, and H. J. Yang*, “Optimal multiuser diversity in multi-cell MIMO uplink networks: user scaling law and beamforming design,” MDPI Entropy, vol. 19, no. 393, pp. 1-14, 2017.   Abstact We introduce a distributed protocol to achieve multiuser diversity in a multicell multiple-input multiple-output (MIMO) uplink network, referred… Continue reading