STAFF PROFILE
Dr Du Yong Kim
Position:
Research Fellow
College / Portfolio:
STEM College
School / Department:
STEM|School of Engineering
Phone:
+61399252634
Email:
duyong.kim@rmit.edu.au
Campus:
City Campus
Contact me about:
Research supervision
Dr Du Yong Kim is increasing understanding and developing breakthrough techniques for live-cell behaviour through efficient stochastic inference algorithms for recognition and estimation of physical states.
- Ristic, B.,Rosenberg, L.,Kim, D.,Guan, R. (2021). Bernoulli filter for tracking maritime targets using point measurements with amplitude In: Signal Processing, 181, 1 - 9
- Kim, D.,Ristic, B.,Guan, R.,Rosenberg, L. (2021). A Bernoulli Track-Before-Detect Filter for Interacting Targets in Maritime Radar In: IEEE Transactions on Aerospace and Electronic Systems, , 1 - 10
- Ali, A.,Salim, F.,Kim, D.,Neia, A.,Bouguettaya, A. (2021). (In Press) Drone-as-a-Service Composition Under Uncertainty In: IEEE Transactions on Services Computing, , 1 - 14
- Ong, J.,Vo, B.,Vo, B.,Kim, D.,Nordholm, S. (2021). (In Press) A Bayesian Filter for Multi-view 3D Multi-object Tracking with Occlusion Handling In: IEEE Transactions on Pattern Analysis and Machine Intelligence, , 1 - 18
- Yoon, Y.,Kim, D.,Song, Y.,Yoon, K.,Jeon, M. (2021). Online multiple pedestrians tracking using deep temporal appearance matching association In: Information Sciences, 561, 326 - 351
- Ristic, B.,Kim, D.,Rosenberg, L.,Guan, R. (2021). (In Press) Exploiting Doppler in Bernoulli Track-Before-Detect for a Scanning Maritime Radar In: IEEE Transactions on Aerospace and Electronic Systems, , 1 - 9
- Chen, Z.,Ristic, B.,Houssineau, J.,Kim, D. (2021). Observer Control for Bearings-only Tracking Using Possibility Functions In: Automatica, 133, 1 - 7
- Nguyen, T.,Vo, B.,Vo, B.,Kim, D.,Choi, Y. (2021). (In Press) Tracking Cells and their Lineages via Labeled Random Finite Sets In: IEEE Transactions on Signal Processing, , 1 - 16
- Ristic, B.,Kim, D.,Rosenberg, L.,Guan, R. (2020). Bernoulli multi-target track-before-detect for maritime radar In: Proceedings of the 2020 IEEE International Radar Conference (RADAR 2020), Washington, DC, United States., 28 -30 April 2020
- Yu, J.,Kim, D.,Lee, Y.,Jeon, M. (2020). Unsupervised Pixel-level Road Defect Detection via Adversarial Image-to-Frequency Transform In: IEEE Intelligent Vehicles Symposium, Proceedings, ,
1 Masters by Research Completions2 PhD Current Supervisions
- Drone-based crowd monitoring Qatar National Research Fund Application - DroneCMS: Flying Infrastructure for Intelligent Crowd Management and Security for Mega Events (Administered by Qatar University).. Funded by: Qatar National Research Fund (ONGOING) from (2020 to 2022)