Teng-Yok Lee - RankMe

52 papers A* 1A 7B 13Misc 1Journal 12Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Incremental dimension reduction for efficient and accurate visual anomaly detection. CoRR Teng-Yok Lee
2025	B	`conf`	AAAD: Adaptive Activated Anomaly Detection on Varied Backgrounds. AVSS Ken Miyamoto, Teng-Yok Lee, Akira Minezawa
2025	A	`conf`	IntegralCAM: Integral-based contribution estimation and visualization for convolutional neural networks. ICME Teng-Yok Lee
2023	—	`conf`	Memory-efficient and GPU-oriented visual anomaly detection with incremental dimension reduction. CVPR Workshops Teng-Yok Lee, Yusuke Nagai, Akira Minezawa
2023	—	`conf`	Towards Robot Anomaly Detection. BMVC Workshop Ken Miyamoto, Masato Tsuchiya, Takashi Ota, Teng-Yok Lee
2022	—	`conf`	Video Object Segmentation with Online Mask Refinement. ICME Workshops Tomoya Sawada, Teng-Yok Lee, Masahiro Mizuno
2022	B	`conf`	Visualization for neural-network-based person re-identification. PacificVis Teng-Yok Lee
2021	B	`conf`	Bottom-Up Saliency Meets Top-Down Semantics For Object Detection. ICIP Tomoya Sawada, Teng-Yok Lee, Masahiro Mizuno
2021	Misc	`conf`	Estimating Contribution of Training Datasets using Shapley Values in Data-scale for Visual Recognition. MVA Takayuki Scmitsu, Mitsuki Nakamura, Shotaro Ishigami, Toru Aoki, Teng-Yok Lee, Yoshimi Isu
2021	—	`conf`	Loss-contribution-based in situ Visualization for Neural Network Training. EuroVis (Short Papers) Teng-Yok Lee
2020	B	`conf`	DynamicsExplorer: Visual Analytics for Robot Control Tasks involving Dynamics and LSTM-based Control Policies. PacificVis Wenbin He, Teng-Yok Lee, Jeroen van Baar, Kent Wittenburg, Han-Wei Shen
2020	A	`conf`	FX-GAN: Self-Supervised GAN Learning via Feature Exchange. WACV Rui Huang, Wenju Xu, Teng-Yok Lee, Anoop Cherian, Ye Wang, Tim K. Marks
2019	—	`conf`	Analysis of the contribution and temporal dependency of LSTM layers for reinforcement learning tasks. CVPR Workshops Teng-Yok Lee, Jeroen van Baar, Kent Wittenburg, Alan Sullivan
2019	—	`conf`	Fault Detection and Classification of Time Series Using Localized Matrix Profiles. ICPHM Jing Zhang, Daniel Nikovski, Teng-Yok Lee, Tomoya Fujino
2019	A	`conf`	Pose-Aware Placement of Objects with Semantic Labels - Brandname-based Affordance Prediction and Cooperative Dual-Arm Active Manipulation. IROS 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
2019	B	`conf`	Space-Time Slicing: Visualizing Object Detector Performance in Driving Video Sequences. PacificVis Teng-Yok Lee, Kent Wittenburg
2018	B	`conf`	Equal-height treemaps for multivariate data. AVI Kent Wittenburg, Teng-Yok Lee
2018	—	`conf`	Localization-Aware Active Learning for Object Detection. ACCV (6) Chieh-Chi Kao, Teng-Yok Lee, Pradeep Sen, Ming-Yu Liu
2018	J	`jnl`	Localization-Aware Active Learning for Object Detection. CoRR Chieh-Chi Kao, Teng-Yok Lee, Pradeep Sen, Ming-Yu Liu
2018	—	`conf`	Multimodal Attention for Fusion of Audio and Spatiotemporal Features for Video Description. CVPR Workshops Chiori Hori, Takaaki Hori, Gordon Wichern, Jue Wang, Teng-Yok Lee, Anoop Cherian, Tim K. Marks
2018	A	`conf`	Recurrent Multi-frame Single Shot Detector for Video Object Detection. BMVC Alexander Broad, Michael Jones, Teng-Yok Lee
2018	B	`conf`	Robust Attentional Pooling via Feature Selection. ICPR Jianbo Zheng, Teng-Yok Lee, Chen Feng, Xiaohua Li, Ziming Zhang
2018	A	`conf`	VLASE: Vehicle Localization by Aggregating Semantic Edges. IROS Xin Yu, Sagar Chaturvedi, Chen Feng, Yuichi Taguchi, Teng-Yok Lee, Clinton Fernandes, Srikumar Ramalingam
2018	J	`jnl`	VLASE: Vehicle Localization by Aggregating Semantic Edges. CoRR Xin Yu, Sagar Chaturvedi, Chen Feng, Yuichi Taguchi, Teng-Yok Lee, Clinton Fernandes, Srikumar Ramalingam
2017	A*	`conf`	Attention-Based Multimodal Fusion for Video Description. ICCV Chiori Hori, Takaaki Hori, Teng-Yok Lee, Ziming Zhang, Bret Harsham, John R. Hershey, Tim K. Marks, Kazuhiro Sumi
2017	J	`jnl`	Attention-Based Multimodal Fusion for Video Description. CoRR Chiori Hori, Takaaki Hori, Teng-Yok Lee, Kazuhiro Sumi, John R. Hershey, Tim K. Marks
2017	—	`conf`	Barcode: Global Binary Patterns for Fast Visual Inference. 3DV Teng-Yok Lee, Sonali Patil, Srikumar Ramalingam, Yuichi Taguchi, Bedrich Benes
2017	—	`conf`	Detecting and Grouping Identical Objects for Region Proposal and Classification. CVPR Workshops Wim Abbeloos, Sergio Caccamo, Esra Ataer Cansizoglu, Yuichi Taguchi, Chen Feng, Teng-Yok Lee
2017	J	`jnl`	Detecting and Grouping Identical Objects for Region Proposal and Classification. CoRR Wim Abbeloos, Sergio Caccamo, Esra Ataer Cansizoglu, Yuichi Taguchi, Chen Feng, Teng-Yok Lee
2014	B	`conf`	Efficient Range Distribution Query for Visualizing Scientific Data. PacificVis Abon Chaudhuri, Tzu-Hsuan Wei, Teng-Yok Lee, Han-Wei Shen, Tom Peterka
2014	J	`jnl`	Exploring Flow Fields Using Space-Filling Analysis of Streamlines. IEEE Trans. Vis. Comput. Graph. Abon Chaudhuri, Teng-Yok Lee, Han-Wei Shen, Rephael Wenger
2014	—	`conf`	Visual analytics of large-scale climate model data. LDAV Pak Chung Wong, Han-Wei Shen, L. Ruby Leung, Samson Hagos, Teng-Yok Lee, Xin Tong, Kewei Lu
2013	J	`jnl`	Efficient Local Statistical Analysis via Integral Histograms with Discrete Wavelet Transform. IEEE Trans. Vis. Comput. Graph. Teng-Yok Lee, Han-Wei Shen
2013	—	`conf`	Efficient range distribution query in large-scale scientific data. LDAV Abon Chaudhuri, Teng-Yok Lee, Han-Wei Shen, Tom Peterka
2013	J	`jnl`	Evaluating Isosurfaces with Level-set-based Information Maps. Comput. Graph. Forum Tzu-Hsuan Wei, Teng-Yok Lee, Han-Wei Shen
2013	B	`conf`	Exploring vector fields with distribution-based streamline analysis. PacificVis Kewei Lu, Abon Chaudhuri, Teng-Yok Lee, Han-Wei Shen, Pak Chung Wong
2013	J	`jnl`	Feature Tracking and Visualization of the Madden-Julian Oscillation in Climate Simulation. IEEE Computer Graphics and Applications Teng-Yok Lee, Xin Tong, Han-Wei Shen, Pak Chung Wong, Samson Hagos, L. Ruby Leung
2012	B	`conf`	A flow-guided file layout for out-of-core streamline computation. PacificVis Chun-Ming Chen, Lijie Xu, Teng-Yok Lee, Han-Wei Shen
2012	—	`conf`	Flow-guided file layout for out-of-core pathline computation. LDAV Chun-Ming Chen, Boonthanome Nouanesengsy, Teng-Yok Lee, Han-Wei Shen
2012	A	`conf`	Parallel particle advection and FTLE computation for time-varying flow fields. SC Boonthanome Nouanesengsy, Teng-Yok Lee, Kewei Lu, Han-Wei Shen, Tom Peterka
2012	—	`conf`	Salient time steps selection from large scale time-varying data sets with dynamic time warping. LDAV Xin Tong, Teng-Yok Lee, Han-Wei Shen
2012	—	`conf`	Scalable computation of distributions from large scale data sets. LDAV Abon Chaudhuri, Teng-Yok Lee, Bo Zhou, Cong Wang, Tiantian Xu, Han-Wei Shen, Tom Peterka, Yi-Jen Chiang
2011	A	`conf`	A Study of Parallel Particle Tracing for Steady-State and Time-Varying Flow Fields. IPDPS Tom Peterka, Robert B. Ross, Boonthanome Nouanesengsy, Teng-Yok Lee, Han-Wei Shen, Wesley Kendall, Jian Huang
2011	—	`conf`	A flow-guided file layout for out-of-core streamline computation. LDAV Chun-Ming Chen, Lijie Xu, Teng-Yok Lee, Han-Wei Shen
2011	J	`jnl`	Load-Balanced Parallel Streamline Generation on Large Scale Vector Fields. IEEE Trans. Vis. Comput. Graph. Boonthanome Nouanesengsy, Teng-Yok Lee, Han-Wei Shen
2011	—	`conf`	Scalable parallel building blocks for custom data analysis. LDAV Tom Peterka, Robert B. Ross, Wesley Kendall, Attila Gyulassy, Valerio Pascucci, Han-Wei Shen, Teng-Yok Lee, Abon Chaudhuri
2011	B	`conf`	View point evaluation and streamline filtering for flow visualization. PacificVis Teng-Yok Lee, Oleg Mishchenko, Han-Wei Shen, Roger Crawfis
2010	J	`jnl`	An Information-Theoretic Framework for Flow Visualization. IEEE Trans. Vis. Comput. Graph. Lijie Xu, Teng-Yok Lee, Han-Wei Shen
2010	B	`conf`	CycleStack: Inferring periodic behavior via temporal sequence visualization in ultrasound video. PacificVis Teng-Yok Lee, Abon Chaudhuri, Fatih Porikli, Han-Wei Shen
2009	J	`jnl`	Visualization and Exploration of Temporal Trend Relationships in Multivariate Time-Varying Data. IEEE Trans. Vis. Comput. Graph. Teng-Yok Lee, Han-Wei Shen
2009	B	`conf`	Visualizing time-varying features with TAC-based distance fields. PacificVis Teng-Yok Lee, Han-Wei Shen
2006	—	`conf`	An Image-Based Modelling Approach To GPU-based Unstructured Grid Volume Rendering. VG@SIGGRAPH Naeem Shareef, Teng-Yok Lee, Han-Wei Shen, Klaus Mueller