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ORCIDKun Zhao 0004
Person information
- affiliation: IBM Research Tokyo, Japan
- affiliation: Kyoto University, Graduate School of Engineering, Kyoto, Japan
Other persons with the same name
- Kun Zhao — disambiguation page
- Kun Zhao 0001
![[0000-0003-3193-8467]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3193-8467")
— University of Queensland, School of ITEE, Brisbane, Australia - Kun Zhao 0002 — Xi'an Jiaotong University, School of Electronic and Information Engineering, Xi'an, China
- Kun Zhao 0003 — Suncorp Group, Brisbane, Australia (and 2 more)
- Kun Zhao 0005 — Sony Research Center, Lund, Sweden (and 2 more)
- Kun Zhao 0006 — Xi'an Jiaotong University, School of Electrical Engineering, Xi'an, China (and 1 more)
- Kun Zhao 0007 — Wuhan University, School of Cyber Science and Engineering, Key Laboratory of Aerospace Information Security and Trusted Computing, Wuhan, China
- Kun Zhao 0008 — Nanjing University, School of Atmospheric Sciences, Key Laboratory of Mesoscale Severe Weather, Joint Center for Atmospheric Radar Research of CMA/NJU, Nanjing, China
- Kun Zhao 0009 — Foxconn Industrial Internet Company Ltd., Shenzhen, China
- Kun Zhao 0010 — East China Normal University, Engineering Center of SHMEC for Space Information and GNSS, Shanghai, China (and 1 more)
- Kun Zhao 0011 — China University of Petroleum, State Key Laboratory of Petroleum Resources and Prospecting, College of New Energy and Materials, Beijing, China
- Kun Zhao 0012 — Harbin Engineering University, College of Automation, Harbin, China
- Kun Zhao 0013 — Tulane University, Department of Mathematics, New Orleans, LA, USA
- Kun Zhao 0014 — Chinese Academy of Sciences, Institute of Automation, Brainnetome Center & National Laboratory of Pattern Recognition, Beijing, China (and 1 more)
- Kun Zhao 0015 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, Beijing, China
- Kun Zhao 0016 — China Aerodynamics Research and Development Centre, Key Laboratory of Aerodynamic Noise Control, Mianyang, China
- Kun Zhao 0017 — University of Melbourne, Melbourne School of Psychological Sciences, Melbourne, Australia
- Kun Zhao 0018 — School of Computer Science, Wuhan University, Wuhan, China
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2020 – today
- 2020
[c10]Takayuki Katsuki, Kun Zhao, Takayuki Yoshizumi:
Learning to Estimate Driver Drowsiness from Car Acceleration Sensors Using Weakly Labeled Data. ICASSP 2020: 3002-3006- [i4]Takayuki Katsuki, Kun Zhao, Takayuki Yoshizumi:
Learning to Estimate Driver Drowsiness from Car Acceleration Sensors using Weakly Labeled Data. CoRR abs/2005.05898 (2020)
2010 – 2019
- 2019
- [i3]Kun Zhao, Takayuki Osogami, Tetsuro Morimura:
Visual analytics for team-based invasion sports with significant events and Markov reward process. CoRR abs/1907.01221 (2019) - 2018
- [c9]Masaharu Sakamoto, Hiroki Nakano, Kun Zhao, Taro Sekiyama:
Lung nodule classification by the combination of fusion classifier and cascaded convolutional neural networks. ISBI 2018: 822-825 - 2017
- [c8]Kun Zhao, Naohisa Sakamoto, Koji Koyamada:
Using interactive particle-based rendering to visualize a large-scale time-varying unstructured volume with mixed cell types. PacificVis 2017: 185-189 - [c7]Masaharu Sakamoto, Hiroki Nakano, Kun Zhao, Taro Sekiyama:
Multi-stage Neural Networks with Single-Sided Classifiers for False Positive Reduction and Its Evaluation Using Lung X-Ray CT Images. ICIAP (1) 2017: 370-379 - [c6]Kun Zhao, Takayuki Osogami:
Modeling fluid simulation with dynamic Boltzmann machine. WSC 2017: 4503-4505 - [i2]Masaharu Sakamoto, Hiroki Nakano, Kun Zhao, Taro Sekiyama:
Multi-stage Neural Networks with Single-sided Classifiers for False Positive Reduction and its Evaluation using Lung X-ray CT Images. CoRR abs/1703.00311 (2017) - [i1]Masaharu Sakamoto, Hiroki Nakano, Kun Zhao, Taro Sekiyama:
Lung Nodule Classification by the Combination of Fusion Classifier and Cascaded Convolutional Neural Networks. CoRR abs/1712.02198 (2017) - 2015
- [j2]Kun Zhao, Naohisa Sakamoto, Koji Koyamada:
Adaptive fused visualization for large-scale blood flow dataset with particle-based rendering. J. Vis. 18(2): 133-145 (2015) - [j1]Kun Zhao, Satoshi Nakada, Naohisa Sakamoto, Koji Koyamada:
Voting-based ensemble-averaging visualization for water mass distribution. J. Vis. 18(4): 719-731 (2015) - 2014
- [c5]Kun Zhao, Naohisa Sakamoto, Koji Koyamada:
Fused Visualization for Large-Scale Time-Varying Volume Data with Adaptive Particle-Based Rendering. AsiaSim 2014: 228-242 - 2013
- [c4]Kun Zhao, Naohisa Sakamoto, Koji Koyamada:
Compression for Large-Scale Time-Varying Volume Data Using Spatio-temporal Features. AsiaSim 2013: 136-148 - 2012
- [c3]Kun Zhao, Naohisa Sakamoto, Koji Koyamada:
A Temporal Coherence Based Framework for Visualizing Time-Varying Unstructured Volume with PBVR. AsiaSim (1) 2012: 163-174 - [c2]Allan Lorant, Alexandre Ancel, Kun Zhao, Naohisa Sakamoto, Koji Koyamada, Bruno Raffin:
Particle-Based Volume Rendering of Remote Volume Datasets Using FlowVR. AsiaSim (1) 2012: 285-296 - [c1]Kun Zhao, Naohisa Sakamoto, Koji Koyamada:
A Volume Compression Scheme Based on Block Division with Fast Cubic B-spline Evaluation. AsiaSim (3) 2012: 373-387
Coauthor Index
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