Teng-Yok Lee

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 26

Top Topics

Spatiotemporal Features

Visual Analytics

Multimodal Fusion

Top Venues

Publications

Ken Miyamoto, Masato Tsuchiya, Takashi Ota, Teng-Yok Lee
Towards Robot Anomaly Detection. BMVC Workshop (2023)
Teng-Yok Lee, Yusuke Nagai, Akira Minezawa
Memory-efficient and GPU-oriented visual anomaly detection with incremental dimension reduction. CVPR Workshops (2023)
Teng-Yok Lee
Visualization for neural-network-based person re-identification. PacificVis (2022)
Tomoya Sawada, Teng-Yok Lee, Masahiro Mizuno
Video Object Segmentation with Online Mask Refinement. ICME Workshops (2022)
Teng-Yok Lee
Loss-contribution-based in situ Visualization for Neural Network Training. EuroVis (Short Papers) (2021)
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)
Tomoya Sawada, Teng-Yok Lee, Masahiro Mizuno
Bottom-Up Saliency Meets Top-Down Semantics For Object Detection. ICIP (2021)
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)
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)
Jing Zhang, Daniel Nikovski, Teng-Yok Lee, Tomoya Fujino
Fault Detection and Classification of Time Series Using Localized Matrix Profiles. ICPHM (2019)
Teng-Yok Lee, Kent Wittenburg
Space-Time Slicing: Visualizing Object Detector Performance in Driving Video Sequences. PacificVis (2019)
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)
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)
Kent Wittenburg, Teng-Yok Lee
Equal-height treemaps for multivariate data. AVI (2018)
Jianbo Zheng, Teng-Yok Lee, Chen Feng, Xiaohua Li, Ziming Zhang
Robust Attentional Pooling via Feature Selection. ICPR (2018)
Xin Yu, Sagar Chaturvedi, Chen Feng, Yuichi Taguchi, Teng-Yok Lee, Clinton Fernandes, Srikumar Ramalingam
VLASE: Vehicle Localization by Aggregating Semantic Edges. CoRR (2018)
Xin Yu, Sagar Chaturvedi, Chen Feng, Yuichi Taguchi, Teng-Yok Lee, Clinton Fernandes, Srikumar Ramalingam
VLASE: Vehicle Localization by Aggregating Semantic Edges. IROS (2018)
Chieh-Chi Kao, Teng-Yok Lee, Pradeep Sen, Ming-Yu Liu
Localization-Aware Active Learning for Object Detection. ACCV (6) (2018)
Alexander Broad, Michael Jones, Teng-Yok Lee
Recurrent Multi-frame Single Shot Detector for Video Object Detection. BMVC (2018)
Chieh-Chi Kao, Teng-Yok Lee, Pradeep Sen, Ming-Yu Liu
Localization-Aware Active Learning for Object Detection. CoRR (2018)
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)
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)
Teng-Yok Lee, Sonali Patil, Srikumar Ramalingam, Yuichi Taguchi, Bedrich Benes
Barcode: Global Binary Patterns for Fast Visual Inference. 3DV (2017)
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 (2017)
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)
Chiori Hori, Takaaki Hori, Teng-Yok Lee, Kazuhiro Sumi, John R. Hershey, Tim K. Marks
Attention-Based Multimodal Fusion for Video Description. CoRR (2017)
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)
Abon Chaudhuri, Tzu-Hsuan Wei, Teng-Yok Lee, Han-Wei Shen, Tom Peterka
Efficient Range Distribution Query for Visualizing Scientific Data. PacificVis (2014)
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) (2014)
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) (2013)
Teng-Yok Lee, Han-Wei Shen
Efficient Local Statistical Analysis via Integral Histograms with Discrete Wavelet Transform. IEEE Trans. Vis. Comput. Graph. 19 (12) (2013)
Tzu-Hsuan Wei, Teng-Yok Lee, Han-Wei Shen
Evaluating Isosurfaces with Level-set-based Information Maps. Comput. Graph. Forum 32 (3) (2013)
Abon Chaudhuri, Teng-Yok Lee, Han-Wei Shen, Tom Peterka
Efficient range distribution query in large-scale scientific data. LDAV (2013)
Kewei Lu, Abon Chaudhuri, Teng-Yok Lee, Han-Wei Shen, Pak Chung Wong
Exploring vector fields with distribution-based streamline analysis. PacificVis (2013)
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)
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)
Chun-Ming Chen, Boonthanome Nouanesengsy, Teng-Yok Lee, Han-Wei Shen
Flow-guided file layout for out-of-core pathline computation. LDAV (2012)
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)
Chun-Ming Chen, Lijie Xu, Teng-Yok Lee, Han-Wei Shen
A flow-guided file layout for out-of-core streamline computation. PacificVis (2012)
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) (2011)
Chun-Ming Chen, Lijie Xu, Teng-Yok Lee, Han-Wei Shen
A flow-guided file layout for out-of-core streamline computation. LDAV (2011)
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)
Teng-Yok Lee, Oleg Mishchenko, Han-Wei Shen, Roger Crawfis
View point evaluation and streamline filtering for flow visualization. PacificVis (2011)
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)
Teng-Yok Lee, Abon Chaudhuri, Fatih Porikli, Han-Wei Shen
CycleStack: Inferring periodic behavior via temporal sequence visualization in ultrasound video. PacificVis (2010)
Lijie Xu, Teng-Yok Lee, Han-Wei Shen
An Information-Theoretic Framework for Flow Visualization. IEEE Trans. Vis. Comput. Graph. 16 (6) (2010)
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) (2009)
Teng-Yok Lee, Han-Wei Shen
Visualizing time-varying features with TAC-based distance fields. PacificVis (2009)
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)