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Posts
portfolio
publications
Y. Liu, K. Yamazaki, D. Zhang, Y. Li, M. Su, Q. Xie, Y. Chen, and M. Bai. "Minimally Invasive Intraperitoneal Photodynamic Therapy using a New Soft Robot System ". SPIE 11220, Optical Methods for Tumor Treatment and Detection: Mechanisms and Techniques in Photodynamic Therapy XXIX, 2020.
E. Sirotkin, K. Yamazaki, and A. Miroshnichenko. "Gearbox Development for an Emergency Brake System of the Wind Turbine ". IOP Conference Series: Earth and Environmental Science, Volume 459, Chapter 1., 2020.
N. Le, K. Yamazaki, K. Quach, D. Truong, and M. Savvides "A Multi-task Contextual Atrous Residual Networkfor Brain Tumor Detection & Segmentation ". International Conference on Pattern Recognition (ICPR), 2020.
N. Le, T. Le, K. Yamazaki, B. Toan, K. Luu "Offset Curves Loss for Imbalanced Problem in Medical Segmentation ". International Conference on Pattern Recognition (ICPR), 2020.
K. Yamazaki "Towards Sensorimotor Coupling of a Spiking Neural Network and Deep Reinforcement Learning for Robotics Application. ". Undergraduate Honors Thesis, 2020.
Y. Li, Y. Liu, K. Yamazaki, M. Bai, and Y.Chen "Development of a Soft Robot-Based Photodynamic Therapy for Pancreatic Cancer ". IEEE/ASME Transactions on Mechatronics (TMECH), 2021.
K. Yamazaki, N. Le, V. Rathour "Invertible Residual Network with Regularization for Effective Volumetric Segmentation ". SPIE Medical Imaging, 2021.
V. Vo-Ho, N. Le, K. Yamazaki, A. Sugimoto, and M. Tran "Agent-Environment Network for Temporal Action Proposal Generation ". IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.
N. Le, T. Bui, K. Vo-Ho, K. Yamazaki, K. Luu "Narrow Band Active Contour Attention Model for Medical Segmentation ". Diagnostics, 2021.
N. Le, V. Rathour, K. Yamazaki, K. Luu, and M. Savvides "Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey ". Artificial Intelligence Review, 2021.
K. Vo, K. Yamazaki, S. Truong, M.-T. Tran, A. Sugimoto, and N. Le "ABN: Agent-Aware Boundary Networks for Temporal Action Proposal Generation ". IEEE Access, 2021.
K. Vo, H. Joo, K. Yamazaki, S. Truong, K. Kitani,, M.-T. Tran, N. Le "AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation ". The British Machine Vision Conference (BMVC) - (Oral Presentation-3.33%), 2021.
Viet-Khoa Vo-Ho, Kashu Yamazaki, Hieu Hoang, Minh-Triet Tran, Ngan Le "Meta-Learning of NAS for Few-shot Learning in Medical Image Applications ". arxiv, 2022.
K. Yamazaki, S. Truong, K. Vo, M. Kidd, C. Rainwater, K. Luu, N. Le "VLCap: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning ". International Conference on Image Processing (ICIP), 2022.
research
| Artificial Intelligence and Computer Vision Lab University of Arkansas, Computer Science and Computer Engineering, 2019 |
talks
teaching
| MEEG 2003 University of Arkansas, Mechanical Engineering, 2017 |
| Applied Machine Learning Intensive University of Arkansas and Google, 2021 |
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