Hao Liu (刘浩)
Research Fellow
Google Scholar
Nanyang Technological University (NTU)
Email: hao.liu@ntu.edu.sg
Brief Bio
I received the Ph.D. degree from Sun Yat-Sen University (SYSU) in 2023, supervised by Prof. Yulan Guo
and the M.E. degree from National University of Defense Technology (NUDT) in 2018.
Before that, I received the B.E. degree from University of Electronic Science and Technology of China (UESTC) in 2016.
Currently, I'm a research fellow, working with Associate Prof. Ying He,
at the College of Computing and Data Science, Nanyang Technological University (NTU), Singapore.
My research interests focus on 3D deep learning, particularly on
3D object detection, tracking and reconstruction.
News
2024.07 | Our paper on "Point Cloud Completion via Self-projected View Augmentation and Implicit Field Constraint" is accepted to IEEE TCSVT.
2024.07 | Our paper on "Heterogeneous Graph Learning for Scene Graph Prediction in 3D Point Clouds" is accepted to ECCV 2024.
2023.12 | Our paper on "Self-Supervised Multi-Frame Monocular Depth Estimation for Dynamic Scenes" is accepted to IEEE TCSVT.
2023.05 | Our paper on "AnchorPoint: Query Design for Transformer-based 3D Object Detection and Tracking" is accepted to IEEE TITS.
2023.01 | Our paper on "CenterTube: Tracking Multiple 3D Objects with 4D Tubelets in Dynamic Point Clouds" is accepted to IEEE TMM.
2022.11 | Our paper on "DeepPCT: Single Object Tracking in Dynamic Point Cloud Sequences" is accepted to IEEE TIM.
2021.11 | Our paper on "Spatial-Temporal Transformer for 3D Point Cloud Sequences" is accepted to WACV 2022.
2021.07 | Our paper on "Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark" is accepted to IEEE TGRS.
2020.07 | Our paper on "Semantic Context Encoding for Accurate 3D Point Cloud Segmentation" is accepted to IEEE TMM.
2020.06 | Our paper on "Deep Learning for 3D Point Clouds: A Survey" is accepted to IEEE TPAMI.
2020.03 | Our paper on "Robust Long-Term Tracking via Instance Specific Proposals" is accepted to IEEE TIM.
2019.11 | Our paper on "Global Context Reasoning for Semantic Segmentation of 3D Point Clouds" is accepted to WACV 2020.
2018.05 | Our paper on "Long-Term Object Tracking with Instance Specific Proposals" is accepted to ICPR 2018.
2024.07 | Our paper on "Heterogeneous Graph Learning for Scene Graph Prediction in 3D Point Clouds" is accepted to ECCV 2024.
2023.12 | Our paper on "Self-Supervised Multi-Frame Monocular Depth Estimation for Dynamic Scenes" is accepted to IEEE TCSVT.
2023.05 | Our paper on "AnchorPoint: Query Design for Transformer-based 3D Object Detection and Tracking" is accepted to IEEE TITS.
2023.01 | Our paper on "CenterTube: Tracking Multiple 3D Objects with 4D Tubelets in Dynamic Point Clouds" is accepted to IEEE TMM.
2022.11 | Our paper on "DeepPCT: Single Object Tracking in Dynamic Point Cloud Sequences" is accepted to IEEE TIM.
2021.11 | Our paper on "Spatial-Temporal Transformer for 3D Point Cloud Sequences" is accepted to WACV 2022.
2021.07 | Our paper on "Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark" is accepted to IEEE TGRS.
2020.07 | Our paper on "Semantic Context Encoding for Accurate 3D Point Cloud Segmentation" is accepted to IEEE TMM.
2020.06 | Our paper on "Deep Learning for 3D Point Clouds: A Survey" is accepted to IEEE TPAMI.
2020.03 | Our paper on "Robust Long-Term Tracking via Instance Specific Proposals" is accepted to IEEE TIM.
2019.11 | Our paper on "Global Context Reasoning for Semantic Segmentation of 3D Point Clouds" is accepted to WACV 2020.
2018.05 | Our paper on "Long-Term Object Tracking with Instance Specific Proposals" is accepted to ICPR 2018.
Publications
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Point Cloud Completion via Self-projected View Augmentation and Implicit Field Constraint
Haihong Xiao, Ying He, Hao Liu, Wenxiong Kang, Yuqiong Li
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT, CCF-B), 2024.
Heterogeneous Graph Learning for Scene Graph Prediction in 3D Point Clouds
Yanni Ma, Hao Liu, Yun Pei, Yulan Guo
European Conference on Computer Vision (ECCV, CCF-B), 2024.
Self-Supervised Multi-Frame Monocular Depth Estimation for Dynamic Scenes
Guanghui Wu, Hao Liu, Longguang Wang, Kunhong Li, Yulan Guo, Zengping Chen
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT, CCF-B), 2023.
AnchorPoint: Query Design for Transformer-Based 3D Object Detection and Tracking
Hao Liu, Yanni Ma, Hanyun Wang, Chaobo Zhang, Yulan Guo
IEEE Transactions on Intelligent Transportation Systems (TITS, CCF-B), 2023.
CenterTube: Tracking Multiple 3D Objects with 4D Tubelets in Dynamic Point Clouds
Hao Liu, Yanni Ma, Qingyong Hu, Yulan Guo
IEEE Transactions on Multimedia (TMM, CCF-B), 2023.
DeepPCT: Single Object Tracking in Dynamic Point Cloud Sequences
Hao Liu, Qingyong Hu, Yanni Ma, Kai Xie, Yulan Guo
IEEE Transactions on Instrumentation and Measurement (TIM), 72, 1-12, 2022.
Spatial-Temporal Transformer for 3D Point Cloud Sequences
Yimin Wei, Hao Liu, Tingting Xie, Qiuhong Ke, Yulan Guo
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022.
Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark
Qian Yin, Qingyong Hu, Hao Liu, Feng Zhang, Yingqian Wang, Zaiping Lin, Wei An, Yulan Guo
IEEE Transactions on Geoscience and Remote Sensing (TGRS, CCF-B), 60, 1-18, 2021.
Semantic Context Encoding for Accurate 3D Point Cloud Segmentation
Hao Liu, Yulan Guo, Yanni Ma, Yinjie Lei, Gongjian Wen
IEEE Transactions on Multimedia (TMM, CCF-B), 23, 2045-2055, 2020.
Deep Learning for 3D Point Clouds: A Survey
Yulan Guo*, Hanyun Wang*, Qingyong Hu*, Hao Liu*, Li Liu, Mohammed Bennamoun
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, CCF-A), 43(12),
4338-4364, 2020.
Robust Long-Term Tracking via Instance Specific Proposals
Hao Liu, Qingyong Hu, Biao Li, Yulan Guo
IEEE Transactions on Instrumentation and Measurement (TIM), 69(4), 950-962, 2019.
Global Context Reasoning for Semantic Segmentation of 3D Point Clouds
Yanni Ma, Yulan Guo, Hao Liu, Yinjie Lei, Gongjian Wen
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2020.
Long-Term Tracking with Instance Specific Proposals
Hao Liu, Qingyong Hu, Biao Li, Yulan Guo
24th International Conference on Pattern Recognition (ICPR, CCF-C), 2018.
Awards & Honors
2023 | Excellent Graduate, Sun Yat-Sen University
2023 | Donation Scholarship of Wang Shujun, Sun Yat-Sen University
2022 | Outstanding Student Union Cadre, Sun Yat-Sen University
2020 | National Scholarship, Ministry of Education, China
2018 | The Thrid Prize in National Post-Graduate Mathematical Contest in Modeling, China
2015 | Frist Class Scholarship, University of Electronic Science and Technology of China
2014 | Frist Class Scholarship, University of Electronic Science and Technology of China
2023 | Donation Scholarship of Wang Shujun, Sun Yat-Sen University
2022 | Outstanding Student Union Cadre, Sun Yat-Sen University
2020 | National Scholarship, Ministry of Education, China
2018 | The Thrid Prize in National Post-Graduate Mathematical Contest in Modeling, China
2015 | Frist Class Scholarship, University of Electronic Science and Technology of China
2014 | Frist Class Scholarship, University of Electronic Science and Technology of China