Kamu erişimi zorunlu olan makaleler - Kwan-Liu MaDaha fazla bilgi edinin
Hiçbir yerde sunulmuyor: 30
Stereoscopic thumbnail creation via efficient stereo saliency detection
W Wang, J Shen, Y Yu, KL Ma
IEEE transactions on visualization and computer graphics 23 (8), 2014-2027, 2016
Zorunlu olanlar: US National Science Foundation, National Natural Science Foundation of China
Visual abstraction and exploration of multi-class scatterplots
H Chen, W Chen, H Mei, Z Liu, K Zhou, W Chen, W Gu, KL Ma
IEEE Transactions on Visualization and Computer Graphics 20 (12), 1683-1692, 2014
Zorunlu olanlar: National Natural Science Foundation of China
An efficient framework for generating storyline visualizations from streaming data
Y Tanahashi, CH Hsueh, KL Ma
IEEE transactions on visualization and computer graphics 21 (6), 730-742, 2015
Zorunlu olanlar: US Department of Energy
Deep neural representation guided face sketch synthesis
B Sheng, P Li, C Gao, KL Ma
IEEE transactions on visualization and computer graphics 25 (12), 3216-3230, 2018
Zorunlu olanlar: National Natural Science Foundation of China
Privacy preserving visualization: A study on event sequence data
JK Chou, Y Wang, KL Ma
Computer Graphics Forum 38 (1), 340-355, 2019
Zorunlu olanlar: US National Science Foundation
Integrating predictive analytics into a spatiotemporal epidemic simulation
C Bryan, X Wu, S Mniszewski, KL Ma
2015 IEEE Conference on Visual Analytics Science and Technology (VAST), 17-24, 2015
Zorunlu olanlar: US Department of Energy
Collaborative visual analysis with multi-level information sharing using a wall-size display and see-through hmds
T Sun, Y Ye, I Fujishiro, KL Ma
2019 IEEE pacific visualization symposium (PacificVis), 11-20, 2019
Zorunlu olanlar: US National Science Foundation
Automatic generation of unit visualization-based scrollytelling for impromptu data facts delivery
J Lu, W Chen, H Ye, J Wang, H Mei, Y Gu, Y Wu, XL Zhang, KL Ma
2021 IEEE 14th Pacific visualization symposium (PacificVis), 21-30, 2021
Zorunlu olanlar: National Natural Science Foundation of China
Enabling interactive scientific data visualization and analysis with see-through hmds and a large tiled display
K Nagao, Y Ye, C Wang, I Fujishiro, KL Ma
2016 Workshop on Immersive Analytics (IA), 1-6, 2016
Zorunlu olanlar: US National Science Foundation, US Department of Energy
Interactive volume visualization via multi-resolution hash encoding based neural representation
Q Wu, D Bauer, MJ Doyle, KL Ma
IEEE Transactions on Visualization and Computer Graphics 30 (8), 5404-5418, 2023
Zorunlu olanlar: US Department of Energy
A declarative grammar of flexible volume visualization pipelines
M Shih, C Rozhon, KL Ma
IEEE Transactions on Visualization and Computer Graphics 25 (1), 1050-1059, 2018
Zorunlu olanlar: US National Science Foundation, US Department of Energy
Out-of-core visualization of time-varying hybrid-grid volume data
M Shih, Y Zhang, KL Ma, J Sitaraman, D Mavriplis
2014 IEEE 4th Symposium on Large Data Analysis and Visualization (LDAV), 93-100, 2014
Zorunlu olanlar: US Department of Energy
Parallel distributed, GPU-accelerated, advanced lighting calculations for large-scale volume visualization
M Shih, S Rizzi, J Insley, T Uram, V Vishwanath, M Hereld, ME Papka, ...
2016 IEEE 6th Symposium on Large Data Analysis and Visualization (LDAV), 47-55, 2016
Zorunlu olanlar: US National Science Foundation, US Department of Energy
A system for visual analysis of radio signal data
T Crnovrsanin, C Muelder, KL Ma
2014 IEEE Conference on Visual Analytics Science and Technology (VAST), 33-42, 2014
Zorunlu olanlar: US Department of Energy
A comparison of the fatigue progression of eye-tracked and motion-controlled interaction in immersive space
LM Masopust, D Bauer, S Yao, KL Ma
2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR …, 2021
Zorunlu olanlar: US National Science Foundation
Audience-targeted design considerations for effective scientific storytelling
F Sauer, T Neuroth, J Chu, KL Ma
Computing in Science & Engineering 18 (6), 68-76, 2016
Zorunlu olanlar: US National Science Foundation, US Department of Energy
A Study of using motion for comparative visualization
CH Hsueh, JK Chou, KL Ma
2016 IEEE Pacific Visualization Symposium (PacificVis), 219-223, 2016
Zorunlu olanlar: US National Science Foundation, US Department of Energy
Visualization techniques for studying large-scale flow fields from fusion simulations
F Sauer, Y Zhang, W Wang, S Ethier, KL Ma
Computing in Science & Engineering 18 (2), 68-77, 2015
Zorunlu olanlar: US Department of Energy
Connectivity-based spectral sampling for big complex network visualization
J Hu, SH Hong, J Chen, M Torkel, P Eades, KL Ma
Complex Networks & Their Applications IX: Volume 1, Proceedings of the Ninth …, 2021
Zorunlu olanlar: Australian Research Council
An interactive visualization system for large sets of phase space trajectories
TA Neuroth, F Sauer, KL Ma
Computer Graphics Forum 38 (3), 297-309, 2019
Zorunlu olanlar: US Department of Energy
Yayıncılık ve maddi kaynak bilgileri otomatik olarak bir bilgisayar programı tarafından belirlenmektedir