2022

• • Dongmin Kang, Yeongwon Nam, Daeun Kyung, and Jonghyun Choi. "Learning Shape-based Representation for Visual Localization in Extremely Changing Conditions". IEEE International Conference on Robotics and Automation (ICRA), (Jun 2020)

2020

• • Hae-Gon Jeon, Sunghoon Im, Jean Oh and Martial Hebert. “Unsupervised Domain Adaptation for 3D Point Clouds by Searched Transformations”. IEIEEE Access, May 20, 2022, DOI: 10.1109/ACCESS.2022.3176719, link: https://ieeexplore.ieee.org/document/9779221

  • Dohyeon Yeo, Gwangbin Kim, and SeungJun Kim. "Toward Immersive Self-Driving Simulations: Reports from a User Study across Six Platforms". CHI '20: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, (Apr 2020)

2019

• • Dongju Park and Chang Wook Ahn. "Self-Supervised Contextual Data Augmentation for Natural Language Processing." Symmetry 11.11 (2019): 1393.

  • Junhyeong Pak and Jong Won Shin. "Sound localization based on phase difference enhancement using deep neural networks." IEEE/ACM Transactions on Audio, Speech, and Language Processing 27.8 (2019): 1335-1345.

  • Yong Hwi Kim and Kwan H. Lee. "Pose initialization method of mixed reality system for inspection using convolutional neural network." Journal of Advanced Mechanical Design, Systems, and Manufacturing 13.5 (2019): JAMDSM0093-JAMDSM0093.

  • Jong-Hyun Lee, Sangmin Lim and Chang Wook Ahn. "Automotive ECU data-based driver’s propensity learning using evolutionary random forest." IEEE Access 7 (2019): 51899-51906.
  • Jun Suk Kim and Chang Wook Ahn. "Quantum Algorithm on Logistic Regression Problem." IEICE TRANSACTIONS on Information and Systems 102.4 (2019): 856-858.
  • Kwangjin Yoon, Du Yong Kim, Young-Chul Yoon and Moongu Jeon. "Data association for multi-object tracking via deep neural networks." Sensors 19.3 (2019): 559.