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 in videos, anomaly detection, video image processing, time series and sequences.
He is an IEEE Student Member and an ACM Student Member.
- Action recognition
- Anomaly detection
- Video image processing
- Time series and sequences
|Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition
L Wang, P Koniusz
Asian Conference on Computer Vision (ACCV) [B, oral, 4.9% acceptance rate, Best Student Paper Award], 4176-4193
|Uncertainty-DTW for Time Series and Sequences
L Wang, P Koniusz
European Conference on Computer Vision (ECCV) [A*, oral, 2.7% acceptance rate], 176-195
|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) [IF: 14.255], (Early Access)
|Self-supervising Action Recognition by Statistical Moment and Subspace Descriptors
L Wang, P Koniusz
ACM International Conference on Multimedia (MM) [A*], 4324-4333
|Tensor Representations for Action Recognition
P Koniusz, L Wang, A Cherian
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 44 (2) [IF: 24.314], 648-665
|A Comparative Review of Recent Kinect-based Action Recognition Algorithms
L Wang, DQ Huynh, P Koniusz
IEEE Transactions on Image Processing (TIP) 29 (1) [IF: 11.041], 15-28
|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) [A*], 8698-8708
|Loss Switching Fusion with Similarity Search for Video Classification
L Wang, DQ Huynh, MR Mansour
26th IEEE International Conference on Image Processing (ICIP) [B, industrial research + 1 AU patent], 974-978
|System and Method of Detecting Anomalies from Mass Data
US patent (provisional)
|Method and System for Classifying Video Data
L Wang, G Woods
AU Patent AU 2,019,903,775
|System and Method of Video Data Retrieval
L Wang, M Reda Mansour, G Woods
AU Patent AU 2,019,900,316
|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 [oral])
|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)
|Analysis and Evaluation of Kinect-based Action Recognition Algorithms
Master’s thesis, School of the Computer Science and Software Engineering, The University of Western Australia
- 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)
I regularly review technical papers for the following journals, conferences & workshops.
I write high quality reviews for papers in action recognition and anomaly detection.
- 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
- CVPR2023, ICLR 2023, AAAI 2023, NeurIPS 2022, CVPR 2022, AAAI 2022, ICML 2022, ECCV 2022 (outstanding reviewer),
- BMVC 2022, BMVC 2021, BMVC 2020
- Deep Vision Workshop (CVPR 2020), Vision Datasets Understanding (VDU, CVPR 2022)