Scientist

Institute for Infocomm Research (I2R)
A-STAR
Level 10 Connexis (North Tower)
Singapore 138632
E-mail: xux AT i2r.a-star.edu.sg Google Scholar GitHub LinkedIn

I am currently a scientist with the Institute for Infocomm Research (I2R), A-STAR. Prior to that, I was a Research Fellow working with Assist Prof. Lee Gim Hee in the Computer Vision and Robotic Perception (CVRP) Lab of School of Computing, Natinoal University of Singapore (NUS). I also worked with Prof. Cheong Loong Fah in Visual Interactive Media Lab of NUS from Sep 2016 to Mar 2019. I received a PhD degree from Computer Vision Group in the School of Electronic Engineering and Computer Science at Queen Mary, University of London (QMUL), jointly supervised by Prof. Shaogang Gong and Dr. Tao Xiang. I was also working closely with Dr. Timothy Hospedales .

Before joining the Computer Vision Group in QMUL I received my B.Eng in Automation from Sichuan University and then had spent 2 years in 3D Vision Lab at Sichuan University supervised by Prof. Yusheng Liu and Prof. Kai Liu.

My research interests include point cloud analysis, motion segmentation, zero-shot learning and surveillance scene understanding.

Jul 2021: PostDoc Fellowship Opportunities
  • You will have a chance to carry out postdoc research in A*STAR with competitive fellowship if you are ASEAN citizenship. More details can be found at check your availibity. Please contact if you are qualified and interested. Deadline is 30 Nov 2021.

    May 2021: A*STAR CDA Project "Exploiting Unlabeled Data, Cheaper Labels and Efficient Annotation for 3D Point Cloud Deep Learning" (EUDEA)
    • My project on exploring label-efficient learning on 3D point cloud data started from Apr. 2021.
    • We will be looking into improving the efficiency of 3D point cloud learning from several perspectives.
  • Nov 2020: PhD/Postgraduate/Undergraduate Scholarship Opportunities
    • We are looking for highly motivated international students who wish to do PhD in A*STAR, NUS, NTU, SUTD. We provide full scholarship under the SINGA program (check your eligibility).
    • We also welcome international full-time PhD students who wish to do research attachment (1-2 years research with A*STAR). Full scholarship under the ARAP program will be provided during the attachment period in Singapore (Check your eligibility)
    • We provide scholarship for talented postgraduate/undergraduate students who wish to do research attachment (2-6 months with A*STAR) or prepare to apply for PhD under the SIPGA program (Check your availability).

    Education Background

    • PhD in Computer Science, Queen Mary University of London, 2016
      Thesis: Semantic Spaces for Video Analysis of Behaviour
      Supervisors: Prof. Shaogang Gong and Dr. Tao Xiang
    • M.Sc in Control Theory and Engineering, Sichuan University, 2012
      Supervisor: Prof. Yusheng Liu
    • B.Eng in Automation, Sichuan University, 2010
      Advisor: Prof. Yong Lei

    Professional Experience

    • Scientist with I2R, A-STAR, Singpaore
      2019.12-Now
    • Research Fellow in SoC, National University of Singapore
      2019.4-2019.12
      Supervisors: Prof. Gim Hee Lee
    • Research Fellow in ECE, National University of Singapore
      2016.9-2019.3
      Project: Dynamic Vision for Actions
      Supervisors: Prof. Loong-Fah Cheong

    Academic Services

    Member
    • IEEE Senior Member
    Journal Reviewer
    • International Journal of Computer Vision (IJCV)
    • IEEE Transactions on Image Processing (TIP)
    • ACM Transactions on Knowledge Discovery from Data (TKDD)
    • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
    • IEEE Transactions on Cybernetics
    • IEEE Access
    • GeoInformatica - Springer
    • Neural Computing & Applications - Springer
    • IET Computer Vision
    Conference Reviewer
    • NeurIPS
    • ICML
    • CVPR
    • ECCV
    • ICCV
    • ACM MM
    • IROS
    • BMVC
    My Google Scholar Profile

    2021

    Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach PDF
    Xian Shi, Xun Xu, Ke Chen, Lile Cai, Chuan Sheng Foo and Kui Jia
    Preprint, 2021

    ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing Diversity PDF ProjectPage Bibtex
    Kangkang Lu, Cuong M Nguyen, Xun Xu, Kiran Chari, Yu Jing Goh and Chuan Sheng Foo
    International Conference on Learning Representations (ICLR), 2021

    Learning Clustering for Motion Segmentation PDF ProjectPage Bibtex
    Xun Xu, Loong-Fah Cheong, Zhuwen Li, Le Zhang and Ce Zhu
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021

    3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding PDF ProjectPage Bibtex
    Shengheng Deng, Xun Xu, Chaozheng Wu, Ke Chen and Kui Jia
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021

    Revisiting Superpixels for Active Learning in Semantic Segmentation with Realistic Annotation Costs PDF Supplementary ProjectPage Bibtex
    Lile Cai, Xun Xu, Junhao Lieuw and Chuan Sheng Foo
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021

    2020

    MultiANet: a Multi-Attention Network for DefocusBlur Detection PDF ProjectPage Bibtex
    Zeyu Jiang, Xun Xu, Chao Zhang, Xiaoning Liu and Ce Zhu
    IEEE International Workshop on Multimedia Signal Processing (MMSP), 2020

    Weakly Supervised Semantic Point Cloud Segmentation: Towards 10× Fewer Labels PDF ProjectPage Bibtex
    Xun Xu and Gim Hee Lee
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020

    2019

    3D Rigid Motion Segmentation with Mixed and Unknown Number of Models PDF ProjectPage Bibtex
    Xun Xu, Loong-Fah Cheong and Zhuwen Li
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019

    C3AE: Exploring the Limits of Compact Model for Age Estimation PDF
    Chao Zhang, Shuaicheng Liu, Xun Xu and Ce Zhu
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019

    Learning for Multi-Model and Multi-Type Fitting ArXiv
    Xun Xu, Loong-Fah Cheong and Zhuwen Li
    ArXiv:1901.10254, 2019

    2018

    Motion Segmentation by Exploiting Complementary Geometric Models PDF ProjectPage Bibtex
    Xun Xu, Loong-Fah Cheong and Zhuwen Li
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018

    Robust Video Background Identification by Dominant Rigid Motion Estimation PDF Bibtex
    Kaimo Lin, Nianjuan Jiang, Loong Fah Cheong, Jiangbo Lu and Xun Xu
    Asian Conference on Computer Vision (ACCV), 2018

    Image Ordinal Classification and Understanding: Grid Dropout with Mask Label PDF Bibtex [Oral Presentation]
    Chao Zhang, Ce Zhu, Jimin Xiao, Xun Xu and Yipeng Liu
    IEEE Conference on Multimedia and Expo (ICME), 2018

    Visual aesthetic understanding: Sample-specific aesthetic classification and deep activation map visualization PDF Bibtex
    Chao Zhang, Ce Zhu, Xun Xu, Yipeng Liu, Jimin Xiao and Tammam Tillo
    Signal Processing: Image Communication, 2018

    Image ordinal classification with deep multi-view learning PDF Bibtex
    Chao Zhang, Xun Xu and Ce Zhu
    Electronic Letters, 2018

    2017

    Transductive Zero-Shot Action Recognition by Word-Vector Embedding PDF Data Bibtex
    Xun Xu, Timothy Hospedales and Shaogang Gong
    International Journal of Computer Vision (IJCV), 2017

    Discovery of Shared Semantic Spaces for Multi-Scene Video Query and Summarization PDF Supplementary Slides Project Page Bibtex
    Xun Xu, Timothy Hospedales and Shaogang Gong
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2017

    Zero-Shot Crowd Behaviour Recognition PDF
    Xun Xu, Shaogang Gong and Timothy Hospedales
    In Murino, Shah, Cristani, Savarese (Eds.), Group and Crowd Behaviour Understanding in Computer Vision , Elsevier, April 2017.

    2016

    Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation PDF Data Bibtex
    Xun Xu, Timothy Hospedales and Shaogang Gong
    In Proc. European Conference on Computer Vision (ECCV), Amsterdam, The Netherlands, October 2016.

    2015

    Semantic Embedding Space for Zero ­Shot Action Recognition PDF Slides Demo Bibtex [★ recognized as top 10% papers]
    Xun Xu, Timothy Hospedales and Shaogang Gong
    In Proc. International Conference on Image Processing (ICIP), Quebec, Canada, September, 2015

    2013

    Cross-Domain Traffic Scene Understanding by Motion Model Transfer PDF Code Bibtex
    Xun Xu, Shaogang Gong and Timothy Hospedales
    In Proc. ACM International Conference on Multimedia, Workshop on Analysis and Retrieval of Tracked Events and Motion in Imagery Streams, Barcelona, Spain, October, 2013



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    Updated Jul 2021