Byeon, M.[Moonsub]
* 2014: MAP-Based Online Data Association for Multiple People Tracking in Crowded Scenes
* 2014: Multi-task learning with over-sampled time-series representation of a trajectory for traffic motion pattern recognition
* 2015: Efficient Spatio-Temporal Data Association Using Multidimensional Assignment in Multi-Camera Multi-Target Tracking
* 2017: Deep learning architecture for pedestrian 3-D localization and tracking using multiple cameras
* 2017: Online Scheme for Multiple Camera Multiple Target Tracking Based on Multiple Hypothesis Tracking
* 2018: Unified optimization framework for localization and tracking of multiple targets with multiple cameras
* 2019: Re-ranking with ranking-reflected similarity for person re-identification
7 for Byeon, M.
Byeon, W.[Wonmin]
* 2015: Parallel sequence classification using recurrent neural networks and alignment
* 2015: Scene labeling with LSTM recurrent neural networks
* 2018: ContextVP: Fully Context-Aware Video Prediction
* 2021: Weakly-Supervised Physically Unconstrained Gaze Estimation
* 2022: GroupViT: Semantic Segmentation Emerges from Text Supervision
* 2022: Sound-Guided Semantic Image Manipulation
* 2022: Sound-Guided Semantic Video Generation
* 2023: Heterogeneous Continual Learning
* 2023: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models
* 2023: Power of Sound (TPoS): Audio Reactive Video Generation with Stable Diffusion, The
10 for Byeon, W.
Byeon, W.M.[Won Min]
* 2014: Supervised texture segmentation using 2D LSTM networks
* 2014: Texture Classification Using 2D LSTM Networks
* 2015: Scene analysis by mid-level attribute learning using 2D LSTM networks and an application to web-image tagging
* 2022: Displacement-Invariant Cost Computation for Stereo Matching
Includes: Byeon, W.M.[Won Min] Byeon, W.M.[Won-Min]
Byeon, Y.[Yugyeong]
* 2021: Near-Surface Air Temperature Retrieval Using a Deep Neural Network from Satellite Observations over South Korea
Byeoung Su, K.[Kim]
* 2021: Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report
Includes: Byeoung Su, K.[Kim] Byeoung-Su, K.[Kim]