Kun Zhao

16 papers B 1Misc 2Journal 6Unranked 7
YearRankTypeTitle / Venue / Authors
2020 Misc conf
Learning to Estimate Driver Drowsiness from Car Acceleration Sensors Using Weakly Labeled Data.
ICASSP
Takayuki Katsuki, Kun Zhao, Takayuki Yoshizumi
2020 J jnl
Learning to Estimate Driver Drowsiness from Car Acceleration Sensors using Weakly Labeled Data.
CoRR
Takayuki Katsuki, Kun Zhao, Takayuki Yoshizumi
2019 J jnl
Visual analytics for team-based invasion sports with significant events and Markov reward process.
CoRR
Kun Zhao, Takayuki Osogami, Tetsuro Morimura
2018 — conf
Lung nodule classification by the combination of fusion classifier and cascaded convolutional neural networks.
ISBI
Masaharu Sakamoto, Hiroki Nakano, Kun Zhao, Taro Sekiyama
2017 J jnl
Lung Nodule Classification by the Combination of Fusion Classifier and Cascaded Convolutional Neural Networks.
CoRR
Masaharu Sakamoto, Hiroki Nakano, Kun Zhao, Taro Sekiyama
2017 Misc conf
Modeling fluid simulation with dynamic Boltzmann machine.
WSC
Kun Zhao, Takayuki Osogami
2017 — conf
Multi-stage Neural Networks with Single-Sided Classifiers for False Positive Reduction and Its Evaluation Using Lung X-Ray CT Images.
ICIAP (1)
Masaharu Sakamoto, Hiroki Nakano, Kun Zhao, Taro Sekiyama
2017 J jnl
Multi-stage Neural Networks with Single-sided Classifiers for False Positive Reduction and its Evaluation using Lung X-ray CT Images.
CoRR
Masaharu Sakamoto, Hiroki Nakano, Kun Zhao, Taro Sekiyama
2017 B conf
Using interactive particle-based rendering to visualize a large-scale time-varying unstructured volume with mixed cell types.
PacificVis
Kun Zhao, Naohisa Sakamoto, Koji Koyamada
2015 J jnl
Adaptive fused visualization for large-scale blood flow dataset with particle-based rendering.
J. Vis.
Kun Zhao, Naohisa Sakamoto, Koji Koyamada
2015 J jnl
Voting-based ensemble-averaging visualization for water mass distribution.
J. Vis.
Kun Zhao, Satoshi Nakada, Naohisa Sakamoto, Koji Koyamada
2014 — conf
Fused Visualization for Large-Scale Time-Varying Volume Data with Adaptive Particle-Based Rendering.
AsiaSim
Kun Zhao, Naohisa Sakamoto, Koji Koyamada
2013 — conf
Compression for Large-Scale Time-Varying Volume Data Using Spatio-temporal Features.
AsiaSim
Kun Zhao, Naohisa Sakamoto, Koji Koyamada
2012 — conf
A Temporal Coherence Based Framework for Visualizing Time-Varying Unstructured Volume with PBVR.
AsiaSim (1)
Kun Zhao, Naohisa Sakamoto, Koji Koyamada
2012 — conf
A Volume Compression Scheme Based on Block Division with Fast Cubic B-spline Evaluation.
AsiaSim (3)
Kun Zhao, Naohisa Sakamoto, Koji Koyamada
2012 — conf
Particle-Based Volume Rendering of Remote Volume Datasets Using FlowVR.
AsiaSim (1)
Allan Lorant, Alexandre Ancel, Kun Zhao, Naohisa Sakamoto, Koji Koyamada, Bruno Raffin