Haibo Qiu 邱海波
I am currently working at Meituan as a Researcher. Before that, I received my PhD degree from the School of Computer Science, University of Sydney (USYD), advised by Prof. Dacheng Tao and co-supervised by Dr. Baosheng Yu. Prior to 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).
My research interests lie in multi-modality learning, with a particular focus on the vision-language pretraining and instruction tuning.
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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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