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.

Publications

	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
	Collect-and-Distribute Transformer for 3D Point Cloud Analysis Haibo Qiu, Baosheng Yu and Dacheng Tao arXiv preprint arXiv:2306.01257, 2023
	GFNet:Geometric Flow Network for 3D Point Cloud Semantic Segmentation Haibo Qiu, Baosheng Yu and Dacheng Tao Transactions on Machine Learning Research (TMLR), 2022
	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
	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
	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
	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