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2020 – today

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2023
[c38]
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Ken Miyamoto, Masato Tsuchiya, Takashi Ota, Teng-Yok Lee:
Towards Robot Anomaly Detection. BMVC Workshop 2023
[c37]
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Teng-Yok Lee, Yusuke Nagai, Akira Minezawa:
Memory-efficient and GPU-oriented visual anomaly detection with incremental dimension reduction. CVPR Workshops 2023: 1-9
2022
[c36]
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Teng-Yok Lee:
Visualization for neural-network-based person re-identification. PacificVis 2022: 171-175
[c35]
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  - conf/icmcs/SawadaLM22
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Tomoya Sawada, Teng-Yok Lee, Masahiro Mizuno:
Video Object Segmentation with Online Mask Refinement. ICME Workshops 2022: 1-4
2021
[c34]
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Tomoya Sawada, Teng-Yok Lee, Masahiro Mizuno:
Bottom-Up Saliency Meets Top-Down Semantics For Object Detection. ICIP 2021: 729-733
[c33]
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Takayuki Scmitsu, Mitsuki Nakamura, Shotaro Ishigami, Toru Aoki, Teng-Yok Lee, Yoshimi Isu:
Estimating Contribution of Training Datasets using Shapley Values in Data-scale for Visual Recognition. MVA 2021: 1-5
[c32]
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Teng-Yok Lee:
Loss-contribution-based in situ Visualization for Neural Network Training. EuroVis (Short Papers) 2021: 1-5
2020
[c31]
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Wenbin He, Teng-Yok Lee, Jeroen van Baar, Kent Wittenburg, Han-Wei Shen:
DynamicsExplorer: Visual Analytics for Robot Control Tasks involving Dynamics and LSTM-based Control Policies. PacificVis 2020: 36-45
[c30]
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Rui Huang, Wenju Xu, Teng-Yok Lee, Anoop Cherian, Ye Wang, Tim K. Marks:
FX-GAN: Self-Supervised GAN Learning via Feature Exchange. WACV 2020: 3183-3191

2010 – 2019

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2019
[c29]
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Teng-Yok Lee, Kent Wittenburg:
Space-Time Slicing: Visualizing Object Detector Performance in Driving Video Sequences. PacificVis 2019: 318-322
[c28]
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Teng-Yok Lee, Jeroen van Baar, Kent Wittenburg, Alan Sullivan:
Analysis of the contribution and temporal dependency of LSTM layers for reinforcement learning tasks. CVPR Workshops 2019: 99-102
[c27]
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Jing Zhang, Daniel Nikovski, Teng-Yok Lee, Tomoya Fujino:
Fault Detection and Classification of Time Series Using Localized Matrix Profiles. ICPHM 2019: 1-7
[c26]
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Yung-Shan Su, Lap-Fai Yu, Hsueh-Cheng Wang, Shao-Huang Lu, Po-Sheng Ser, Wei-Ting Hsu, Wei-Cheng Lai, Biao Xie, Hong-Ming Huang, Teng-Yok Lee, Hung-Wen Chen:
Pose-Aware Placement of Objects with Semantic Labels - Brandname-based Affordance Prediction and Cooperative Dual-Arm Active Manipulation. IROS 2019: 4760-4767
2018
[c25]
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Chieh-Chi Kao, Teng-Yok Lee, Pradeep Sen, Ming-Yu Liu:
Localization-Aware Active Learning for Object Detection. ACCV (6) 2018: 506-522
[c24]
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Kent Wittenburg, Teng-Yok Lee:
Equal-height treemaps for multivariate data. AVI 2018: 88:1-88:3
[c23]
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Alexander Broad, Michael Jones, Teng-Yok Lee:
Recurrent Multi-frame Single Shot Detector for Video Object Detection. BMVC 2018: 94
[c22]
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Chiori Hori, Takaaki Hori, Gordon Wichern, Jue Wang, Teng-Yok Lee, Anoop Cherian, Tim K. Marks:
Multimodal Attention for Fusion of Audio and Spatiotemporal Features for Video Description. CVPR Workshops 2018: 2528-2531
[c21]
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Jianbo Zheng, Teng-Yok Lee, Chen Feng, Xiaohua Li, Ziming Zhang:
Robust Attentional Pooling via Feature Selection. ICPR 2018: 2038-2043
[c20]
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Xin Yu, Sagar Chaturvedi, Chen Feng, Yuichi Taguchi, Teng-Yok Lee, Clinton Fernandes, Srikumar Ramalingam:
VLASE: Vehicle Localization by Aggregating Semantic Edges. IROS 2018: 3196-3203
[i4]
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  - journals/corr/abs-1801-05124
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Chieh-Chi Kao, Teng-Yok Lee, Pradeep Sen, Ming-Yu Liu:
Localization-Aware Active Learning for Object Detection. CoRR abs/1801.05124 (2018)
[i3]
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  - journals/corr/abs-1807-02536
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Xin Yu, Sagar Chaturvedi, Chen Feng, Yuichi Taguchi, Teng-Yok Lee, Clinton Fernandes, Srikumar Ramalingam:
VLASE: Vehicle Localization by Aggregating Semantic Edges. CoRR abs/1807.02536 (2018)
2017
[c19]
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Teng-Yok Lee, Sonali Patil, Srikumar Ramalingam, Yuichi Taguchi, Bedrich Benes:
Barcode: Global Binary Patterns for Fast Visual Inference. 3DV 2017: 630-639
[c18]
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Wim Abbeloos, Sergio Caccamo, Esra Ataer Cansizoglu, Yuichi Taguchi, Chen Feng, Teng-Yok Lee:
Detecting and Grouping Identical Objects for Region Proposal and Classification. CVPR Workshops 2017: 501-502
[c17]
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Chiori Hori, Takaaki Hori, Teng-Yok Lee, Ziming Zhang, Bret Harsham, John R. Hershey, Tim K. Marks, Kazuhiro Sumi:
Attention-Based Multimodal Fusion for Video Description. ICCV 2017: 4203-4212
[i2]
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Chiori Hori, Takaaki Hori, Teng-Yok Lee, Kazuhiro Sumi, John R. Hershey, Tim K. Marks:
Attention-Based Multimodal Fusion for Video Description. CoRR abs/1701.03126 (2017)
[i1]
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Wim Abbeloos, Sergio Caccamo, Esra Ataer Cansizoglu, Yuichi Taguchi, Chen Feng, Teng-Yok Lee:
Detecting and Grouping Identical Objects for Region Proposal and Classification. CoRR abs/1707.07255 (2017)
2014
[j7]
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Abon Chaudhuri, Teng-Yok Lee, Han-Wei Shen, Rephael Wenger:
Exploring Flow Fields Using Space-Filling Analysis of Streamlines. IEEE Trans. Vis. Comput. Graph. 20(10): 1392-1404 (2014)
[c16]
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Abon Chaudhuri, Tzu-Hsuan Wei, Teng-Yok Lee, Han-Wei Shen, Tom Peterka:
Efficient Range Distribution Query for Visualizing Scientific Data. PacificVis 2014: 201-208
[c15]
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Pak Chung Wong, Han-Wei Shen, L. Ruby Leung, Samson Hagos, Teng-Yok Lee, Xin Tong, Kewei Lu:
Visual analytics of large-scale climate model data. LDAV 2014: 85-92
2013
[j6]
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  - journals/cga/LeeTSWHL13
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Teng-Yok Lee, Xin Tong, Han-Wei Shen, Pak Chung Wong, Samson Hagos, L. Ruby Leung:
Feature Tracking and Visualization of the Madden-Julian Oscillation in Climate Simulation. IEEE Computer Graphics and Applications 33(4): 29-37 (2013)
[j5]
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Tzu-Hsuan Wei, Teng-Yok Lee, Han-Wei Shen:
Evaluating Isosurfaces with Level-set-based Information Maps. Comput. Graph. Forum 32(3): 1-10 (2013)
[j4]
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Teng-Yok Lee, Han-Wei Shen:
Efficient Local Statistical Analysis via Integral Histograms with Discrete Wavelet Transform. IEEE Trans. Vis. Comput. Graph. 19(12): 2693-2702 (2013)
[c14]
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  - conf/apvis/LuCLSW13
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Kewei Lu, Abon Chaudhuri, Teng-Yok Lee, Han-Wei Shen, Pak Chung Wong:
Exploring vector fields with distribution-based streamline analysis. PacificVis 2013: 257-264
[c13]
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Abon Chaudhuri, Teng-Yok Lee, Han-Wei Shen, Tom Peterka:
Efficient range distribution query in large-scale scientific data. LDAV 2013: 125-126
2012
[c12]
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  - conf/apvis/ChenXLS12
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Chun-Ming Chen, Lijie Xu, Teng-Yok Lee, Han-Wei Shen:
A flow-guided file layout for out-of-core streamline computation. PacificVis 2012: 145-152
[c11]
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  - conf/ldav/TongLS12
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Xin Tong, Teng-Yok Lee, Han-Wei Shen:
Salient time steps selection from large scale time-varying data sets with dynamic time warping. LDAV 2012: 49-56
[c10]
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Chun-Ming Chen, Boonthanome Nouanesengsy, Teng-Yok Lee, Han-Wei Shen:
Flow-guided file layout for out-of-core pathline computation. LDAV 2012: 109-112
[c9]
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Abon Chaudhuri, Teng-Yok Lee, Bo Zhou, Cong Wang, Tiantian Xu, Han-Wei Shen, Tom Peterka, Yi-Jen Chiang:
Scalable computation of distributions from large scale data sets. LDAV 2012: 113-120
[c8]
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  - conf/sc/NouanesengsyLLSP12
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Boonthanome Nouanesengsy, Teng-Yok Lee, Kewei Lu, Han-Wei Shen, Tom Peterka:
Parallel particle advection and FTLE computation for time-varying flow fields. SC 2012: 61
2011
[j3]
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Boonthanome Nouanesengsy, Teng-Yok Lee, Han-Wei Shen:
Load-Balanced Parallel Streamline Generation on Large Scale Vector Fields. IEEE Trans. Vis. Comput. Graph. 17(12): 1785-1794 (2011)
[c7]
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Teng-Yok Lee, Oleg Mishchenko, Han-Wei Shen, Roger Crawfis:
View point evaluation and streamline filtering for flow visualization. PacificVis 2011: 83-90
[c6]
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  - conf/ipps/PeterkaRNLSKH11
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Tom Peterka, Robert B. Ross, Boonthanome Nouanesengsy, Teng-Yok Lee, Han-Wei Shen, Wesley Kendall, Jian Huang:
A Study of Parallel Particle Tracing for Steady-State and Time-Varying Flow Fields. IPDPS 2011: 580-591
[c5]
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Tom Peterka, Robert B. Ross, Wesley Kendall, Attila Gyulassy, Valerio Pascucci, Han-Wei Shen, Teng-Yok Lee, Abon Chaudhuri:
Scalable parallel building blocks for custom data analysis. LDAV 2011: 105-112
[c4]
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Chun-Ming Chen, Lijie Xu, Teng-Yok Lee, Han-Wei Shen:
A flow-guided file layout for out-of-core streamline computation. LDAV 2011: 115-116
2010
[j2]
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Lijie Xu, Teng-Yok Lee, Han-Wei Shen:
An Information-Theoretic Framework for Flow Visualization. IEEE Trans. Vis. Comput. Graph. 16(6): 1216-1224 (2010)
[c3]
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Teng-Yok Lee, Abon Chaudhuri, Fatih Porikli, Han-Wei Shen:
CycleStack: Inferring periodic behavior via temporal sequence visualization in ultrasound video. PacificVis 2010: 89-96

2000 – 2009

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2009
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Teng-Yok Lee, Han-Wei Shen:
Visualization and Exploration of Temporal Trend Relationships in Multivariate Time-Varying Data. IEEE Trans. Vis. Comput. Graph. 15(6): 1359-1366 (2009)
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Teng-Yok Lee, Han-Wei Shen:
Visualizing time-varying features with TAC-based distance fields. PacificVis 2009: 1-8
2006
[c1]
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  - conf/vg/ShareefLSM06
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Naeem Shareef, Teng-Yok Lee, Han-Wei Shen, Klaus Mueller:
An Image-Based Modelling Approach To GPU-based Unstructured Grid Volume Rendering. VG@SIGGRAPH 2006: 31-38

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