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Qian Xie

Research Associate
University of Oxford
qian.xie [at] cs.ox.ac.uk


About Me

I am currently a Research Associate in the Department of Computer Science at the University of Oxford from August 2021. I work in the Cyber-Physical Systems Group under the supervision of Prof. Niki Trigoni and Prof. Andrew Markham. Prior to Oxford, I obtained my Ph.D. degree in 2021 from China and was supervised by Prof. Jun Wang. In 2019, I went to Cardiff University, UK, as a joint Ph.D. for 18 months in the School of Computer Science and Informatics, under the supervision of Prof. Yu-kun Lai and Jing Wu. I aim to create intelligent systems for effective and efficient perception and understanding of 3D scenes as my research objective. My research interests are 3D Perception, Computer Vision, and Machine Learning, and I publish extensively in venues and journals such as CVPR, ICCV, ECCV, RA-L, TMM, IJCV, etc. My research goal is to build intelligent systems which are able to achieve an effective and efficient perception and understanding of 3D scenes. At Oxford, my current research focuses on 3D human point cloud generation from multiple sensors.

Research Interests

News

Publications

  1. BMVC
    mmPoint: Dense Human Point Cloud Generation from mmWave
    Qian Xie, Qianyi Deng, Ta-Ying Cheng, Peijun Zhao, Amir Patel, Niki Trigoni, Andrew Markham
    British Machine Vision Conference, 2023.
    Paper Code

    WACV
    Beyond Fusion: Modality Hallucination-based Multispectral Fusion for Pedestrian Detection
    Qian Xie, Ta-Ying Cheng, Jia-Xing Zhong, Kaichen Zhou, Andrew Markham, Niki Trigoni
    Winter Conference on Applications of Computer Vision, 2024.
    Accepted without rebuttal in R1-11% acceptance rate
    Paper

    IEEE T-ITS
    Illumination-aware Hallucination-based Domain Adaptation for Thermal Pedestrian Detection
    Qian Xie, Ta-Ying Cheng, Zhuangzhuang Dai, Vu Tran, Niki Trigoni, Andrew Markham
    IEEE Transactions on Intelligent Transportation Systems, 2023.
    Paper

    PG
    MODNet: Multi-offset Point Cloud Denoising Network Customized for Multi-scale Patches
    Anyi Huang, Qian Xie, Zhoutao Wang, Dening Lu, Mingqiang Wei, Jun Wang
    Pacific Graphics, 2022.
    Paper Code

    IEEE T-ITS
    3DCTN: 3D convolution-transformer network for point cloud classification
    Dening Lu, Qian Xie, Kyle Gao, Linlin Xu, Jonathan Li
    IEEE Transactions on Intelligent Transportation Systems, 2022.
    Paper Code

    ECCV
    Meta-Sampler: Almost-Univsersal yet Task-Oriented Sampling for Point Clouds
    Ta-Ying Cheng, Qingyong Hu, Qian Xie, Niki Trigoni, Andrew Markham
    European Conference on Computer Vision, 2022.
    Paper Code

    Arxiv
    Transformers in 3D Point Clouds: A Survey
    Dening Lu, Qian Xie, Mingqiang Wei, Linlin Xu, Jonathan Li
    Arxiv, 2022.
    Paper Code

    ICCV
    MLVSNet: Multi−Level Voting Siamese Network for 3D Visual Tracking
    Zhoutao Wang, Qian Xie (equal first author), Yu-kun Lai, Jing Wu‚ Kun Long, Jun Wang
    IEEE International Conference on Computer Vision, 2021.
    Paper Code

    ICCV
    VENet: Voting Enhancement Network for 3D Object Detection
    Qian Xie, Yu-kun Lai, Jing Wu‚ Zhoutao Wang‚ Dening Lu‚ Mingqiang Wei, Jun Wang
    IEEE International Conference on Computer Vision, 2021.
    Paper

    IJCV
    Vote−Based 3D Object Detection with Context Modeling and SOB−3DNMS
    Qian Xie, Yu-kun Lai, Jing Wu‚ Zhoutao Wang‚ Yiming Zhang‚ Kai Xu, Jun Wang
    International Journal of Computer Vision, 2021.
    Paper Code

    CVPR
    MLCVNet: Multi−Level Context VoteNet for 3D Object Detection
    Qian Xie, Yu-kun Lai, Jing Wu‚ Zhoutao Wang‚ Yiming Zhang‚ Kai Xu, Jun Wang
    IEEE Conference on Computer Vision and Pattern Recognition, 2020.
    Paper Code

    IEEE T-IE
    Integrated Circuit Gold Wire Bonding Measurement via 3D Point Cloud Deep Learning
    Qian Xie, Kun Long, Dening Lu, Dawei Li, Yuan Zhang, Jun Wang
    IEEE Transactions on Industrial Electronics, 2021.
    Paper

    RA-L
    Robust and Accurate RGB-D Reconstruction With Line Feature Constraints
    Yabin Xu, Laishui Zhou, Hao Tang, Qiaoyun Wu, Qian Xie, HongHua Chen, Jun Wang
    IEEE Robotics and Automation Letters, 2021.
    Paper

    CAD
    3d shape synthesis via content–style revealing priors
    Oussama Remil, Qian Xie, HongHua Chen, Jun Wang
    Computer-Aided Design, 2019.
    Paper

    CGF
    Data‐Driven Sparse Priors of 3D Shapes
    Oussama Remil, Qian Xie, Xingyu Xie, Kai Xu, Jun Wang
    Computer Graphics Forum, 2019.
    Paper

    IEEE T-MM
    Object detection and tracking under occlusion for object-level RGB-D video segmentation
    Qian Xie, Oussama Remil, Yanwen Guo, Meng Wang, Mingqiang Wei, Jun Wang
    Computer Graphics Forum, 2019.
    Paper

Services

Conference Reviewers

Journal Reviewers

Teaching

Group Design Practical (Department of Computer Science, University of Oxford)

Tutorial Tutor (Worcester College, University of Oxford)


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