Showing results 1 to 8 of 8
Bayesian multi-object tracking using motion context from multiple objects Yoon, Ju Hong; Yang, Ming-Hsuan; Lim, Jongwoo; Yoon, Kuk-Jin, 2015 15th IEEE Winter Conference on Applications of Computer Vision, WACV 2015, pp.33 - 40, Institute of Electrical and Electronics Engineers Inc., 2015-01-08 |
Calibration and Noise Identification of a Rolling Shutter Camera and a Low-cost Inertial Measurement Unit Lee, Chang-Ryeol; Yoon, Ju Hong; Yoon, Kuk-Jin, 2018 IEEE SENSORS, IEEE, 2018-10-28 |
Hierarchical Online Multi-object Tracking via Structural Constraint Event Aggregation Yoon, Ju Hong; Lee, Chang-Ryeol; Yang, Ming-Hsuan; Yoon, Kuk-Jin, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Computer Society and the Computer Vision Foundation (CVF), 2016-06-26 |
Learning Depth from Endoscopic Images Yoon, Ju Hong; Park, Min-Gyu; Hwang, Youngbae; Yoon, Kuk-Jin, 7th International Conference on 3D Vision, 3DV 2019, pp.126 - 134, Institute of Electrical and Electronics Engineers Inc., 2019-09-17 |
Learning to detect dynamic feature points Park, Min-Gyu; Yoon, Ju Hong; Park, Jonghee; Lee, Jeong-Kyun; Yoon, Kuk-Jin, 28th IEEE Intelligent Vehicles Symposium, IV 2017, pp.1093 - 1098, Institute of Electrical and Electronics Engineers Inc., 2017-06-11 |
Multi-object tracking using hybrid observation in PHD filter Yoon, Ju Hong; Kim, Du Yong; Yoon, Kuk-Jin, 2013 20th IEEE International Conference on Image Processing, ICIP 2013, pp.3890 - 3894, IEEE Signal Processing Society, 2013-09-15 |
Robust calibration of an ultralow-cost inertial measurement unit and a camera: Handling of severe system uncertainty Lee, Chang-Ryeol; Yoon, Ju Hong; Yoon, Kuk-Jin, 2014 IEEE International Conference on Robotics and Automation, ICRA 2014, pp.3020 - 3026, IEEE Robotics and Automation Society, 2014-06-03 |
Visual tracking via adaptive tracker selection with multiple features Yoon, Ju Hong; Kim, Du Yong; Yoon, Kuk-Jin, 12th European Conference on Computer Vision, ECCV 2012, pp.28 - 41, European Conference on Computer Vision Committee, 2012-10-07 |
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