Haibo Qiu 邱海波
I am currently a final-year PhD candidate at the School of Computer Science, University of Sydney (USYD), advised by Prof. Dacheng Tao and co-supervised by Dr. Baosheng Yu. Prior to joining USYD, I obtained my Bachelor's degree in the Department of Electronic Engineering and Information Science from the University of Science and Technology of China (USTC) in 2018.
My research interests lie in computer vision using deep learning. Specifically, I am currently focusing on 3D representation learning for point clouds, previously working on the areas of 3D human pose estimation and face recognition.
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PointHR:Exploring High-Resolution Architectures for 3D Point Cloud Segmentation
Haibo Qiu, Baosheng Yu, Yixin Chen and Dacheng Tao
arXiv preprint arXiv:2310.07743, 2023
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Collect-and-Distribute Transformer for 3D Point Cloud Analysis
Haibo Qiu, Baosheng Yu and Dacheng Tao
arXiv preprint arXiv:2306.01257, 2023
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GFNet:Geometric Flow Network for 3D Point Cloud Semantic Segmentation
Haibo Qiu, Baosheng Yu and Dacheng Tao
Transactions on Machine Learning Research (TMLR), 2022
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SynFace:Face Recognition with Synthetic Data
Haibo Qiu, Baosheng Yu, Dihong Gong, Zhifeng Li, Wei Liu and Dacheng Tao
International Conference on Computer Vision (ICCV), 2021
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End2End Occluded Face Recognition by Masking Corrupted Features
Haibo Qiu, Dihong Gong, Zhifeng Li, Wei Liu and Dacheng Tao
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
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Cross View Fusion for 3D Human Pose Estimation
Haibo Qiu, Chunyu Wang, Jingdong Wang, Naiyan Wang and Wenjun Zeng
International Conference on Computer Vision (ICCV), 2019
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Learning Basis Representation to Refine 3D Human Pose Estimations
Chunyu Wang, Haibo Qiu, Alan L. Yuille and Wenjun Zeng
AAAI Conference on Artificial Intelligence (AAAI), 2019
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Academic Services
- Conference Reviewer: CVPR, ICCV, ICML, NeurIPS, ICLR, ECCV, ...
- Journal Reviewer: TPAMI, IJCV, TIP, TCSVT, PR, Neurocomputing, ...
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