Research

This page lists my represented publication and projects. The complete publication list can be seen in my CV, DBLP, or Google Scholar. My patents can be found as Teng-Yok Lee or Tin-Yu Lee.

My publication mainly covers the following topics 1) Data visualization, including volume rendering, flow visualization, and time-varying data visualization and 2) High performance computing, including GPGPU, parallel computing, and cloud computing. Since joining MERL,  I also work on 3) computer vision and machine learning.

2019

  
Time-varying data Visualization
Computer vision
T.-Y. Lee, and K. Wittenburg.
Space-Time Slicing: Visualizing Object Detector Performance in Driving Video Sequences.
In PacificVis '19: Proceedings of IEEE Pacific Visualization Symposium, Bangkok, Thailand, 2019
(Visualization Note track with acceptance rate: 12/19 = 63.2%. Best Visualization Note Award).
pdf

2018

 
Computer vision
C.-C. Kao, T.-Y. Lee, P. Sen, and M.-Y. Liu.
Localization-Aware Active Learning for Object Detection.
In ACCV '18: Proceedings of Asian Conference on Computer Vision, Perth, Australia, 2018
(acceptance rate: 274/979 = 28.0%).
pdf



Computer vision
X. Yu, S. Chaturvedi, C. Feng, Y. Taguchi, T.-Y. Lee, C. Fernandes, and S. Ramalingam.
VLASE: Vehicle Localization by Aggregating Semantic Edges.
In IROS '18: Proceedings of International Conference on Intelligent Robots, Madrid, Spain, 2018
(acceptance rate: 1257/2693 = 46.9%).
arXiv, video

 Computer visionA. Broad, M. Jones, and T.-Y. Lee.
Recurrent Multi-frame Single Shot Detector for Video Object Detection.
In BMVC '18: Proceedings of British Machine Vision Conference, New Castle, UK, 2018
(acceptance rate: 255/862 = 29.5%).
pdf, supp, video

2017

  

Computer vision
T.-Y. Lee, S. Patil, S. Ramalingam, Y. Taguchi, and B. Benes.
Barcode: Global Binary Patterns for Fast Visual Inference.
In 3DV '17: Proceedings of International Conference on 3D Vision, Qingdao, China, 2017
(acceptance rate: 73/146 = 50%).
www

Computer vision

C. Feng, M.-Y. Liu, C.-C. Kao, and T.-Y. Lee.
Deep Active Learning for Civil Infrastructure Defect Detection and Classification.
In IWCCE '17: Proceedings of International Workshop on Computing for Civil Engineering, Seattle, WA, 2017.
www

2014

 


Flow visualization
A Chaudhuri, T.-Y. Lee, H.-W. Shen, and R. Wenger.
Exploring Flow Fields Using Space-filling Analysis of Streamlines
IEEE Transactions on Visualization and Computer Graphics, 20(10): 1392 - 1404, Oct., 2014.
preprint, ieeexplorer


Flow visualization
Volume rendering
A Chaudhuri, T.-H. Wei, T.-Y. Lee, H.-W. Shen, and T. Peterka.
Efficient Range Distribution Query for Visualizing Scientific Data.
In PacificVis '14: Proceedings of the IEEE Pacific Visualization Symposium, pp. 201 - 208, Yokohama, Japan, 2014
(acceptance rate: 29/99 = 29%).
preprint

2013


 
Computer graphicsT.-Y. Lee and H.-W. Shen,
Efficient Local Statistical Analysis via Integral Histograms with Discrete Wavelet Transform
IEEE Transactions on Visualization and Computer Graphics, 19(12):2693-2701, Dec., 2013
(Special Issue for IEEE SciVis '13, acceptance rate: 31/126 = 24%).
code, preprint, errata, slides, video

Time-varying data visualization
Visual analytics
T.-Y. Lee, X. Tong, H.-W. Shen, P. C. Wong, S. Hagos, and L. Leung,
Feature Tracking and Visualization of Madden-Julian Oscillation in Climate Simulation.
IEEE Computer Graphics and Applications (Theme Issue on Big Data Visualization), 33(4): 29-37, 2013.
demo, doi, video
Volume rendering
T.-H. Wei, T.-Y. Lee, and H.-W. Shen,
Evaluating Isosurfaces with Level-set-based Information Maps.
Computer Graphics Forum, 30(3):1-10, 2013
(Special Issue for EuroVis 2013, acceptance rate: 49/177 = 28%).
code, preprint, slides

  Flow visualization
K. Lu, A. Chaudhuri, T.-Y. Lee, H.-W. Shen, and P. C. Wong,
Exploring Vector Fields with Distribution-based Streamline Analysis.
In PacificVis '13: Proceedings of the IEEE Pacific Visualization Symposium, pp.257 - 264, Sydney, Australia, 2013
(Acceptance rate: 34/118 = 29%).
preprint

2012

   
  Flow visualization
Parallel graphics & visualization

 
B. Nouanesengsy, T.-Y. Lee, K. Lu, H.-W. Shen, and T. Peterka,
Parallel Particle Advection and FTLE Computation for Time-Varying Flow Fields.
In SC '12: ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis. Salt Lake City, UT, Nov., 2012.
(Acceptance rate: 100/472 = 21%)
pdf

  Flow visualization
Parallel graphics & visualization

C.-M. Chen, B. Nouanesengsy, T.-Y. Lee, and H.-W. Shen,

Flow-guided File Layout for Out-of-core Pathline Computation.

In LDAV '12: IEEE Symposium on Large-Scale Data Analysis and Visualization, pp. 109 - 112, Seattle, WA, Oct., 2012
(Acceptance rate: 18/34 = 53%. Nominated for Best Paper.)
pdf



Time-varying data visualization

X. Tong, T.-Y. Lee, and H.-W. Shen,

Salient Time Steps Selection from Large Scale Time-Varying Data Sets with Dynamic Time Warping.

In LDAV '12: IEEE Symposium on Large-Scale Data Analysis and Visualization, pp. 49 - 56, Seattle, WA, Oct., 2012
(Acceptance rate: 18/34 = 53%).
pdf

  Parallel graphics & visualization

A. Chaudhuri, T.-Y. Lee, B. Zhou, C. Wang, T. Xu, H.-W. Shen, T. Peterka and Y.-J. Chiang,

Scalable Computation of Distributions from Large Scale Data Sets.

In LDAV '12: IEEE Symposium on Large-Scale Data Analysis and Visualization, pp. 113 - 120, Seattle, WA, Oct., 2012
(Acceptance rate: 18/34 = 53%).
pdf

Flow visualization
Parallel graphics & visualization
C.-M. Chen, L. Xu, T.-Y. Lee, and  H.-W. Shen,
Flow-Guided File Layout for Out-Of-Core Streamline Computation.
In  PacificVis '12: Proceedings of the IEEE Pacific Visualization Symposium, pp. 145 - 152, Songdo, Korea, March, 2012.
(Acceptance rate: 30/89 = 33.7%).
pdf

2011

   
Flow visualization
Parallel graphics & visualization
B. Nouanesengsy, T.-Y. Lee, and H.-W. Shen,
Load-Balanced Parallel Streamline Generation on Large Scale Vector Fields
.
IEEE Transactions on Visualization and Computer Graphics, 17(12):1785-1794, 2011
(Special Issue for IEEE Visualization 2011, acceptance rate: 49/194 = 25%).
pdf

  Flow visualization

T.-Y. Lee, O. Mishchenko, H.-W. Shen, and R. Crawfis,
View Point Evaluation and Streamline Filtering for Flow Visualization.
In PacificVis '11: Proceedings of the IEEE Pacific Visualization Symposium, pp. 83 - 90, Hong Kong, March, 2011
(Acceptance rate: 27/81 = 33%).
pdf, slides, video 1, video 2, video 3 

2010

   






Flow visualization
 
L. Xu, T.-Y. Lee, and H.-W. Shen,
An Information-Theoretic Framework for Flow Visualization.
IEEE Transactions on Visualization and Computer Graphics
, 16(6):1216-1224, Nov.-Dec., 2010
(Special Issue for IEEE Visualization 2010, acceptance rate: 45/185 = 26%).
code, pdf, slides


 
Time-varying data visualization

T.-Y. Lee, A. Chaudhuri, F. Porikli, and H.-W. Shen,
CycleStack: Inferring Periodic Behavior via Temporal Sequence Visualization in Ultrasound Video
.
In PacificVis '10: Proceedings of the IEEE Pacific Visualization Symposium, pp. 89-96, Taipei, Taiwan, March, 2010 
(Acceptance rate: 27/84 = 32%).
pdf, slides, video

2009

   
 
Time-varying data visualization

T.-Y. Lee, and H.-W. Shen,
Visualization and Exploration of Temporal Trend Relationships in Multivariate Time-Varying Data
.
IEEE Transactions on Visualization and Computer Graphics
, 15(6):1359–1366, 2009
(Special Issue for IEEE Visualization 2009, acceptance rate: 54/202 = 27%).
pdf, slides


 
GPGPU
Time-varying data visualization

T.-Y. Lee, and H.-W. Shen,
Visualizing Time-Varying Features with TAC-based Distance Fields.
In PacificVis '09: Proceedings of the IEEE Pacific Visualization Symposium, pp. 1-8, Beijin, China, April, 2009
(Acceptance rate: 26/66 = 40%).
pdf, slides

2006

   

GPGPU
Volume rendering
N. Shareef, T.-Y. Lee, H.-W. Shen, and K. Mueller,
An Image-based Modelling Approach to GPU-based Rendering of Unstructured Grids.
In VG '06: Proceedings of the Eurographics/IEEE VGTC Workshop on Volume Graphics 2006, pp. 31-38, Boston, MA, July, 2006
(Acceptance rate: 13/38 = 34%).
pdf
   
   

Subpages (1): Past Projects in OSU
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Teng-Yok Lee,
Sep 12, 2011, 1:20 PM
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Teng-Yok Lee,
Sep 12, 2011, 1:20 PM
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