An MCMC-Based Method of Comparing Connectionist Models in Cognitive Science. - Woojae Kim; Daniel J. Navarro; Mark A. Pitt; In Jae Myung (NIPS, 2003)

A Survey of Model Evaluation Approaches With a Tutorial on Hierarchical Bayesian Methods. - Richard M. Shiffrin; Michael D. Lee 001; Woojae Kim; Eric-Jan Wagenmakers (Cogn. Sci., 2008)

Knowledge Integration and Use-Case Analysis for a Customized Drug-Drug Interaction CDS Service. - Hye Jin Kam; Man Young Park; Woojae Kim; Dukyong Yoon; Eun Kyoung Ahn; Rae Woong Park (SUComS, 2010)

Surface Encoders for a Mosaic Scale Grating. - Koji Hosono; Woojae Kim; Akihide Kimura; Yuki Shimizu; Wei Gao 027 (Int. J. Autom. Technol., 2011)

A Hierarchical Adaptive Approach to the Optimal Design of Experiments. - Woojae Kim; Mark A. Pitt; Zhong-Lin Lu; Mark Steyvers; Hairong Gu; Jay I. Myung (CogSci, 2014)

A Hierarchical Adaptive Approach to Optimal Experimental Design. - Woojae Kim; Mark A. Pitt; Zhong-Lin Lu; Mark Steyvers; Jay I. Myung (Neural Comput., 2014)

Video sharpness prediction based on motion blur analysis. - Jongyoo Kim; Junghwan Kim; Woojae Kim; Jisoo Lee; Sanghoon Lee 001 (ICME, 2015)

No-reference perceptual sharpness assessment for ultra-high-definition images. - Woojae Kim; Haksub Kim; Heeseok Oh; Jongyoo Kim; Sanghoon Lee 001 (ICIP, 2016)

Visual Preference Assessment on Ultra-High-Definition Images. - Haksub Kim; Sewoong Ahn; Woojae Kim; Sanghoon Lee 001 (IEEE Trans. Broadcast., 2016)

Planning Beyond the Next Trial in Adaptive Experiments: A Dynamic Programming Approach. - Woojae Kim; Mark A. Pitt; Zhong-Lin Lu; Jay I. Myung (Cogn. Sci., 2017)

Deep Video Quality Assessor: From Spatio-Temporal Visual Sensitivity to a Convolutional Neural Aggregation Network. - Woojae Kim; Jongyoo Kim; Sewoong Ahn; Jinwoo Kim 005; Sanghoon Lee 001 (ECCV (1), 2018)

Deep Blind Image Quality Assessment by Learning Sensitivity Map. - Jongyoo Kim; Woojae Kim; Sanghoon Lee 001 (ICASSP, 2018)

Visual Preference Prediction for Enhanced Images on Ultra-High-Definition Display. - Sewoong Ahn; Woojae Kim; Jinwoo Kim 005; Jaekyung Kim; Sanghoon Lee 001 (ICIP, 2018)

Virtual Reality Sickness Predictor: Analysis of visual-vestibular conflict and VR contents. - Jaekyung Kim; Woojae Kim; Sewoong Ahn; Jinwoo Kim 005; Sanghoon Lee 001 (QoMEX, 2018)

Video Frame Interpolation by Plug-and-Play Deep Locally Linear Embedding. - Anh-Duc Nguyen; Woojae Kim; Jongyoo Kim; Sanghoon Lee 001 (CoRR, 2018)

Quality of Experience using Deep Convolutional Neural Networks and future trends. - Woojae Kim; Jaekyung Kim; Sanghoon Lee 001 (APSIPA, 2019)

Physical parameter prediction by embedding human perceptual parameter for 3D garment modeling. - Seongmin Lee 002; Woojae Kim; Sewoong Ahn; Jaekyung Kim; Sanghoon Lee 001 (APSIPA, 2019)

A Simple Way of Multimodal and Arbitrary Style Transfer. - Anh-Duc Nguyen; Seonghwa Choi; Woojae Kim; Sanghoon Lee 001 (ICASSP, 2019)

A Deep Cybersickness Predictor Based on Brain Signal Analysis for Virtual Reality Contents. - Jinwoo Kim 005; Woojae Kim; Heeseok Oh; Seongmin Lee 002; Sanghoon Lee 001 (ICCV, 2019)

GraphX-Convolution for Point Cloud Deformation in 2D-to-3D Conversion. - Duc Nguyen; Seonghwa Choi; Woojae Kim; Sanghoon Lee 001 (ICCV, 2019)

Distribution Padding in Convolutional Neural Networks. - Anh-Duc Nguyen; Seonghwa Choi; Woojae Kim; Sewoong Ahn; Jinwoo Kim 005; Sanghoon Lee 001 (ICIP, 2019)

Video Frame Synthesis via Plug-and-Play Deep Locally Temporal Embedding. - Anh-Duc Nguyen; Woojae Kim; Jongyoo Kim; Weisi Lin; Sanghoon Lee 001 (IEEE Access, 2019)

GraphX-Convolution for Point Cloud Deformation in 2D-to-3D Conversion. - Anh-Duc Nguyen; Seonghwa Choi; Woojae Kim; Sanghoon Lee 001 (CoRR, 2019)

Smart Sensing Period for Efficient Energy Consumption in IoT Network. - Woojae Kim; Inbum Jung (Sensors, 2019)

Statistical Convolution On Unordered Point Set. - Anh-Duc Nguyen; Seonghwa Choi; Woojae Kim; Sanghoon Lee 001; Weisi Lin (ICIP, 2020)

Dynamic Receptive Field Generation for Full-Reference Image Quality Assessment. - Woojae Kim; Anh-Duc Nguyen; Sanghoon Lee 001; Alan Conrad Bovik (IEEE Trans. Image Process., 2020)

A Study on Virtual Reality Sickness and Visual Attention. - Jeonghaeng Lee; Woojae Kim; Jinwoo Kim 005; Sanghoon Lee 001 (APSIPA ASC, 2021)

Diverse and Adjustable Versatile Image Enhancer. - Woojae Kim; Anh-Duc Nguyen; Jinwoo Kim 005; Jongyoo Kim; Heeseok Oh; Sanghoon Lee 001 (IEEE Access, 2021)

Simulator for Interactive and Effective Organization of Things in Edge Cluster Computing. - Woojae Kim; Inbum Jung (Sensors, 2021)

Consumers' attitudes toward information security threats against connected and autonomous vehicles. - Kyuho Maeng; Woojae Kim; Youngsang Cho (Telematics Informatics, 2021)

VR Sickness Versus VR Presence: A Statistical Prediction Model. - Woojae Kim; Sanghoon Lee 001; Alan Conrad Bovik (IEEE Trans. Image Process., 2021)

Smart Parking Lot Based on Edge Cluster Computing for Full Self-Driving Vehicles. - Woojae Kim; Inbum Jung (IEEE Access, 2022)

Is a "6-second" advertisement reasonable? Acceptable mobile advertisement length for consumers. - Woojae Kim; Jungwoo Shin; Youngsang Cho (Telematics Informatics, 2022)

A Deep Motion Sickness Predictor Induced by Visual Stimuli in Virtual Reality. - Jinwoo Kim 005; Heeseok Oh; Woojae Kim; Seonghwa Choi; Wookho Son; Sanghoon Lee 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

From Human Pose Similarity Metric to 3D Human Pose Estimator: Temporal Propagating LSTM Networks. - Kyoungoh Lee; Woojae Kim; Sanghoon Lee 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Progressive Contextual Aggregation Empowered by Pixel-Wise Confidence Scoring for Image Inpainting. - Jinwoo Kim 005; Woojae Kim; Heeseok Oh; Sanghoon Lee 001 (IEEE Trans. Image Process., 2023)

Neural Network Models for Driving Control of Indoor Autonomous Vehicles in Mobile Edge Computing. - Yonghun Kwon; Woojae Kim; Inbum Jung (Sensors, 2023)

IPFS Viewer: IoT Surveillance Camera System Using IPFS and MQTT. - Woojae Kim; Aheun Kwak; Byounghyun Yoo; Heedong Ko (ICCE, 2024)

Single-Image 3-D Reconstruction: Rethinking Point Cloud Deformation. - Anh-Duc Nguyen; Seonghwa Choi; Woojae Kim; Jongyoo Kim; Heeseok Oh; Jiwoo Kang 001; Sanghoon Lee 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Towards 360 VR Sickness Mitigation: From Virtual Reality Eye-Tracking to Visual Communication. - Jeonghaeng Lee; Woojae Kim; Chao Yang 021; Ping An; Sanghoon Lee 001 (IEEE Trans. Vis. Comput. Graph., 2025)