Kun Zhao
Kun Zhao
Boston Consulting Group (Gamma)
Verified email at bcg.com - Homepage
Title
Cited by
Cited by
Year
Multi-stage neural networks with single-sided classifiers for false positive reduction and its evaluation using lung X-ray CT images
M Sakamoto, H Nakano, K Zhao, T Sekiyama
International Conference on Image Analysis and Processing, 370-379, 2017
72017
Lung nodule classification by the combination of fusion classifier and cascaded convolutional neural networks
M Sakamoto, H Nakano, K Zhao, T Sekiyama
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
62018
A volume compression scheme based on block division with fast cubic B-spline evaluation
K Zhao, N Sakamoto, K Koyamada
Asian Simulation Conference, 373-387, 2012
52012
INTERACTIVE VISUALIZATION OF LARGE-SCALE 3D SCATTERED DATA FROM A TSUNAMI SIMULATION.
K Zhao, S Naohisa, K Koyamada, S Tanaka, K Murotani, S Koshizuka
International Journal of Industrial Engineering 24 (2), 2017
42017
Particle-based volume rendering of remote volume datasets using flowvr
A Lorant, A Ancel, K Zhao, N Sakamoto, K Koyamada, B Raffin
Asian Simulation Conference, 285-296, 2012
42012
A Visualization of the Dynamic Behaviors of the Mixture of Water Mass Using Ocean Simulation Data for Northwestern Pacific near Japan
K Zhao, S Nakada, N Sakamoto, K Koyamada, C Bajaj, Y Ishikawa, ...
International Journal of Modeling, Simulation, and Scientific Computing 4, 0
4*
A temporal coherence based framework for visualizing time-varying unstructured volume with PBVR
K Zhao, N Sakamoto, K Koyamada
Asian Simulation Conference, 163-174, 2012
32012
A Visualization of the Dynamic Behaviors of the Mixture of Water Mass Using Ocean Simulation Data for Northwestern Pacific near Japan
K Zhao, S Nakada, N Sakamoto, K Koyamada, C Bajaj, Y Ishikawa, ...
International Journal of Modeling, Simulation, and Scientific Computing 4, 0
3
Using interactive particle-based rendering to visualize a large-scale time-varying unstructured volume with mixed cell types
K Zhao, N Sakamoto, K Koyamada
2017 IEEE Pacific Visualization Symposium (PacificVis), 185-189, 2017
22017
Fused visualization for large-scale time-varying volume data with adaptive particle-based rendering
K Zhao, N Sakamoto, K Koyamada
Asian Simulation Conference, 228-242, 2014
22014
Time-varying volume compression in spatio-temporal domain
K Zhao, N Sakamoto, K Koyamada
日本シミュレーション学会英文誌 1 (1), 171-187, 2015
12015
A new framework for visualizing a time-varying unstructured grid dataset with pbvr
K Zhao, J Nishimura, N Sakamoto, K Koyamada
Advanced Methods, Techniques, and Applications in Modeling and Simulation …, 2012
12012
Detection of decline in concentration based on anomaly detection
T Katsuki, K Zhao, T Yoshizumi
US Patent 10,740,634, 2020
2020
SEGMENTATION-BASED INVASION SPORTS ANALYSIS AND CONTROL
K Zhao, T Osogami, T Morimura
US Patent App. 16/266,199, 2020
2020
MACHINE LEARNING BASED FLUID SIMULATION
K Zhao, T Osogami
US Patent App. 16/245,883, 2020
2020
Learning to Estimate Driver Drowsiness from Car Acceleration Sensors using Weakly Labeled Data
T Katsuki, K Zhao, T Yoshizumi
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
2020
MULTIVARIATE PROBABILITY DISTRIBUTION BASED SPORTS HIGHLIGHT DETECTION
K Zhao, T Morimura, T Osogami
US Patent App. 16/165,491, 2020
2020
Weighted cascading convolutional neural networks
T Sekiyama, M Sakamoto, H Nakano, K Zhao
US Patent App. 16/680,667, 2020
2020
Weighted cascading convolutional neural networks
T Sekiyama, M Sakamoto, H Nakano, K Zhao
US Patent 10,599,978, 2020
2020
Visual analytics for team-based invasion sports with significant events and Markov reward process
K Zhao, T Osogami, T Morimura
arXiv preprint arXiv:1907.01221, 2019
2019
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Articles 1–20