Mr Lei Wang

Biography

Lei Wang received the M.E. degree in software engineering from University of Western Australia (UWA), Australia, in 2018.

He is currently pursuing a PhD degree with Australian National University (ANU) and Data61/CSIRO.

Since 2018, he has been a full-time Computer Vision Researcher with iCetana Pty Ltd. He was a Visiting Researcher in Machine Learning Research Group at Data61/CSIRO (former NICTA). He was also a Visiting Researcher with the Department of Computer Science and Software Engineering, UWA.

He has been offered a number of competitive full PhD scholarships including ARC Industrial Transformation Training Centre Scholarship, UWA International Fee Scholarship, University Postgraduate Award, Data61 PhD Scholarship, Data61 Top-up Scholarship and ANU HDR Fee Remission Merit Scholarship.

His research interests include action recognition, anomaly detection, computer vision and machine learning.

He is an IEEE Student Member and an ACM Student Member.

Research Interests

  • Machine Learning
  • Pattern Recognition
  • Computer Vision
  • Deep Learning

Publications

Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition
L Wang, P Koniusz
Asian Conference on Computer Vision (ACCV), (accepted, to appear)
  2022
Uncertainty-DTW for Time Series and Sequences
L Wang, P Koniusz
European Conference on Computer Vision (ECCV), (accept-oral, to appear)
  2022
Fusing Higher-Order Features in Graph Neural Networks for Skeleton-Based Action Recognition
Z Qin, Y Liu, P Ji, D Kim, L Wang, B McKay, S Anwar, T Gedeon
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), (Early Access)
  2021
Self-supervising Action Recognition by Statistical Moment and Subspace Descriptors
L Wang, P Koniusz
ACM International Conference on Multimedia (MM), 4324-4333
  2021
Tensor Representations for Action Recognition
P Koniusz, L Wang, A Cherian
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 44 (2), 648-665
  2020
A Comparative Review of Recent Kinect-based Action Recognition Algorithms
L Wang, DQ Huynh, P Koniusz
IEEE Transactions on Image Processing (TIP) 29 (1), 15-28
  2020
Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition with CNNs
L Wang, P Koniusz, DQ Huynh
IEEE International Conference on Computer Vision (ICCV), 8698-8708
  2019
Loss Switching Fusion with Similarity Search for Video Classification
L Wang, DQ Huynh, MR Mansour
26th IEEE International Conference on Image Processing (ICIP), 974-978
  2019

 

Patents

System and Method of Detecting Anomalies from Mass Data
L Wang
US patent (provisional)
  2022
Method and System for Classifying Video Data
L Wang, G Woods
AU Patent AU 2,019,903,775
  2019
System and Method of Video Data Retrieval
L Wang, M Reda Mansour, G Woods
AU Patent AU 2,019,900,316
  2019

 

arXiv preprints

3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve
L Wang, J Liu, P Koniusz
arXiv preprint arXiv:2112.12668 (an extended version has been accepted by ACCV'22)
  2021
High-order Tensor Pooling with Attention for Action Recognition
P Koniusz, L Wang, K Sun
arXiv preprint arXiv:2110.05216 (an extension of our TPAMI'20)
  2021

 

Master’s thesis

Analysis and Evaluation of Kinect-based Action Recognition Algorithms
L Wang
Master’s thesis, School of the Computer Science and Software Engineering, The University of Western Australia
  2017

 

Selected Honours and Awards

  • Data61 PhD Scholarship, July 2019, Data61/CSIRO and ANU
  • Data61 Top-up Scholarship, July 2019, Data61/CSIRO and ANU
  • ANU HDR Fee Remission Merit Scholarship, July 2019, ANU
  • Outstanding Graduate Award, June 2015, Yangzhou University
  • Jingwen Zhu Scholarship, March 2015, Yangzhou University
  • Principal's Scholarship (First Class), December 2014, Yangzhou University
  • The Second Prize of Undergraduate Group B, C/C++ Program Design, Jiangsu Competition District of the 5th "Lanqiao Cup" National Software and Information Technology Professional Talent Competition, April 2014, Talent Exchange Centre, Industry and Informationised Department
  • Principal's Scholarship (Second Class), December 2013, Yangzhou University

Education

  • Doctor of Philosophy - PhD, Computer Science, The Australian National University (22 July 2019 - present)
  • Master of Professional Engineering - MPE, Software Engineering, The University of Western Australia (Feb 2016 - March 2018)
  • Bachelor of Engineering - BE, Software Engineering, Yangzhou University (Sep 2011 - June 2015)

 

Research Experience

  • The University of Western Australia (UWA)
    • Teaching Assistant (CITS5508 Machine Learning), Department of Computer Science and Software Engineering (CSSE), March 2018 - July 2018
    • Visiting Researcher, CSSE/UWA, 10 Oct 2018 - 09 Oct 2019
  • iCetana Pty Ltd
    • Computer Vision Research Intern (full-time), Research & Development (R&D), 2 July 2018 - 19 July 2019
    • Machine Learning / Computer Vision Researcher (Casual Appointment, 20%), R&D, 22 July 2019 - 28 Sep 2019
  • The Commonwealth Scientific and Industrial Research Organisation (CSIRO)
    • Visiting Researcher, Machine Learning Research Group (MLRG), Data61/CSIRO, 21 Sep 2018 - 19 July 2019
    • Postgraduate Research Student, MLRG, Data61/CSIRO, 22 July 2019 - present

 

Paper Reviewing

I regularly review technical papers for the following journals, conferences & workshops.

  • Journals:
    • IEEE Transactions on Multimedia (T-MM), Pattern Recognition, Computer Vision and Image Understanding (CVIU),
    • Neural Computing and Applications (NCAA), Journal of Visual Communication and Image Representation (JVCI), Signal, Image and Video Processing (SIVP),
    • The Visual Computer (TVCJ), IET Computer Vision, Electronics Letters
  • Conferences:
    • AAAI 2023, NeurIPS 2022, CVPR 2022, AAAI 2022, ICML 2022, ECCV 2022,
    • BMVC 2022, BMVC 2021, BMVC 2020
  • Workshops:
    • Deep Vision Workshop (CVPR 2020), Vision Datasets Understanding (VDU, CVPR 2022)

 

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Updated:  10 August 2021/Responsible Officer:  Dean, CECS/Page Contact:  CECS Marketing