{C35} M. U. Kim, H. Lee, H. J. Yang, and M. S. Ryoo, “Privacy-Preserving Robot Vision with Anonymized Faces by Extreme Low Resolution,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, Nov. 2019.

{C35} M. U. Kim, H. Lee, H. J. Yang, and M. S. Ryoo, “Privacy-Preserving Robot Vision with Anonymized Faces by Extreme Low Resolution,”  IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, Nov. 2019. Abstact   As smart cameras are becoming ubiquitous in mobile robot systems, there is an increasing concern in camera devices… Continue reading

{C34} H. Kim, M. Oh, H. Lee, J. Jang, M. U. Kim, H. J. Yang*, M. Ryoo, and J. Lee, “Deep-Learning Based Autofocus Score Prediction of Scanning Electron Microscope,” Microscopy & Microanalysis 2019, Portland, OR.

{C34} H. Kim, M. Oh, H. Lee, J. Jang, M. U. Kim, H. J. Yang*, M. Ryoo, and J. Lee, “Deep-Learning Based Autofocus Score Prediction of Scanning Electron Microscope,” Microscopy & Microanalysis 2019, Portland, OR.

{C30} M. U. Kim and H. J. Yang, “RNN-Based Node Selection for Sensor Networks with Energy Harvesting,” in Proc. International Conference on ICT Convergence (ICTC), Jeju, Korea, Oct. 2018, pp.1316-1318.

{C30} M. U. Kim and H. J. Yang, “RNN-Based Node Selection for Sensor Networks with Energy Harvesting,” in Proc. International Conference on ICT Convergence (ICTC), Jeju, Korea, Oct.2018, pp.1316-1318. A novel recurrent neural network (RNN) based node selection is proposed for sensor networks with energy harvesting, where the downlink (DL) simultaneous wireless information and power… Continue reading