Libo Sun
Grant-Funded Researcher (B)
Australian Institute for Machine Learning - Projects
Faculty of Sciences, Engineering and Technology
Libo Sun is currently a grant-funded researcher at The University of Adelaide. Before this, he worked as a Ph.D. researcher at the Australian Centre for Robotic Vision (ACRV) and the Australian Institute for Machine Learning (AIML) in Australia, as well as a research associate at Nanyang Technological University (NTU) in Singapore. His research mainly focuses on the intersection of robotics and deep learning. It includes, but is not limited to, depth estimation, segmentation, reconstruction, localization, and visualisation. His papers have been published in the top-tier robotics journal T-RO and the machine intelligence journal T-PAMI. He serves as a reviewer for nearly all major robotics and computer vision conferences.
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Journals
Year Citation 2024 Sun, L., Bian, J. -W., Zhan, H., Yin, W., Reid, I., & Shen, C. (2024). SC-DepthV3: Robust Self-Supervised Monocular Depth Estimation for Dynamic Scenes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(1), 497-508.
Scopus4 Europe PMC12023 Sun, L., Bockman, J., & Sun, C. (2023). A Framework for Leveraging Interimage Information in Stereo Images for Enhanced Semantic Segmentation in Autonomous Driving. IEEE Transactions on Instrumentation and Measurement, 72, 1-12.
Scopus42022 Sun, L., Zhang, H., & Yin, W. (2022). Pseudo-LiDAR Based Road Detection. IEEE Transactions on Circuits and Systems for Video Technology, 32(8), 5386-5398.
Scopus6 WoS22022 Sun, L., Yin, W., Xie, E., Li, Z., Sun, C., & Shen, C. (2022). Improving Monocular Visual Odometry Using Learned Depth. IEEE Transactions on Robotics, 38(5), 3173-3186.
Scopus7 WoS3
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