Moonsub Byeon

Orcid: 0000-0002-2449-5576

According to our database1, Moonsub Byeon authored at least 11 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
D-3DLD: Depth-Aware Voxel Space Mapping for Monocular 3D Lane Detection with Uncertainty.
Proceedings of the IEEE International Conference on Acoustics, 2023

2019
Variational Inference for 3-D Localization and Tracking of Multiple Targets Using Multiple Cameras.
IEEE Trans. Neural Networks Learn. Syst., 2019

Re-ranking with ranking-reflected similarity for person re-identification.
Pattern Recognit. Lett., 2019

2018
Unified optimization framework for localization and tracking of multiple targets with multiple cameras.
Comput. Vis. Image Underst., 2018

2017
Online Scheme for Multiple Camera Multiple Target Tracking Based on Multiple Hypothesis Tracking.
IEEE Trans. Circuits Syst. Video Technol., 2017

Deep learning architecture for pedestrian 3-D localization and tracking using multiple cameras.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2015
Efficient Spatio-Temporal Data Association Using Multidimensional Assignment in Multi-Camera Multi-Target Tracking.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
MAP-Based Online Data Association for Multiple People Tracking in Crowded Scenes.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Multi-task learning with over-sampled time-series representation of a trajectory for traffic motion pattern recognition.
Proceedings of the 11th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2014

2013
Matching heads of multiple people in multiple camera networks.
Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication, 2013

2012
Hierarchical feature grouping for multiple object segmentation and tracking.
Proceedings of the Image and Vision Computing New Zealand, 2012


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