Hyuno Kim

13 papers B 3C 1Journal 3Unranked 6
YearRankTypeTitle / Venue / Authors
2022 — conf
A Generative Adversarial Network Approach to Metastatic Cancer Cell Images.
ICAIIC
Seohyun Lee, Hyuno Kim, Hideo Higuchi, Masatoshi Ishikawa, Ryuichiro Natato
2022 J jnl
Seamless Multiple-Target Tracking Method Across Overlapped Multiple Camera Views Using High-Speed Image Capture.
J. Robotics Mechatronics
Hyuno Kim, Yuji Yamakawa, Masatoshi Ishikawa
2021 — conf
Classification of Metastatic Breast Cancer Cell using Deep Learning Approach.
ICAIIC
Seohyun Lee, Hyuno Kim, Hideo Higuchi, Masatoshi Ishikawa
2021 J jnl
Sub-Frame Evaluation of Frame Synchronization for Camera Network Using Linearly Oscillating Light Spot.
Sensors
Hyuno Kim, Masatoshi Ishikawa
2021 J jnl
Visualization Method for the Cell-Level Vesicle Transport Using Optical Flow and a Diverging Colormap.
Sensors
Seohyun Lee, Hyuno Kim, Hideo Higuchi, Masatoshi Ishikawa
2020 — conf
Deep Learning Approach to Face Pose Estimation for High-Speed Camera Network System.
ICAIIC
Seohyun Lee, Hyuno Kim, Masatoshi Ishikawa
2019 — conf
3D Nanoscale Tracking Data Analysis for Intracellular Organelle Movement using Machine Learning Approach.
ICAIIC
Seohyun Lee, Hyuno Kim, Masatoshi Ishikawa, Hideo Higuchi
2019 B conf
Simulation of Face Pose Tracking System using Adaptive Vision Switching.
SAS
Hyuno Kim, Ryo Ito, Seohyun Lee, Yuji Yamakawa, Masatoshi Ishikawa
2018 B conf
Focus stabilization by axial position feedback in biomedical imaging microscopy.
SAS
Seohyun Lee, Hyuno Kim, Hideo Higuchi
2018 B conf
Reference broadcast frame synchronization for distributed high-speed camera network.
SAS
Hyuno Kim, Masatoshi Ishikawa, Yuji Yamakawa
2016 C conf
High-speed distributed camera network based on Message Passing Interface.
FUSION
Hyuno Kim, Masatoshi Ishikawa
2015 — conf
Robotic manipulation of rotating object via twisted thread using high-speed visual sensing and feedback.
MFI
Hyuno Kim, Yuji Yamakawa, Taku Senoo, Masatoshi Ishikawa
2014 — conf
Manipulation model of thread-rotor object by a robotic hand for high-speed visual feedback control.
AIM
Hyuno Kim, Yuji Yamakawa, Taku Senoo, Masatoshi Ishikawa