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, 2019 | 239 | 2019 |
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 | 112 | 2019 |
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), 2021 | 69* | 2021 |
Tensor Representations for Action Recognition P Koniusz, L Wang, A Cherian IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 44 (2 …, 2020 | 61 | 2020 |
Self-supervising Action Recognition by Statistical Moment and Subspace Descriptors L Wang, P Koniusz 29th ACM International Conference on Multimedia (ACM-MM), 4324–4333, 2021 | 45 | 2021 |
Uncertainty-DTW for Time Series and Sequences L Wang, P Koniusz European Conference on Computer Vision (ECCV) [Oral], 176–195, 2022 | 27 | 2022 |
3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition L Wang, P Koniusz Conference on Computer Vision and Pattern Recognition (CVPR), 5620-5631, 2023 | 25 | 2023 |
Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition L Wang, P Koniusz Asian Conference on Computer Vision (ACCV) [Oral, Best Student Paper Award …, 2022 | 25 | 2022 |
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 | 21 | 2019 |
Analysis and evaluation of Kinect-based action recognition algorithms L Wang Master’s thesis, The University of Western Australia, 2017 | 15* | 2017 |
3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve L Wang, J Liu, P Koniusz arXiv preprint arXiv:2112.12668, 2021 | 13 | 2021 |
High-order Tensor Pooling with Attention for Action Recognition L Wang, K Sun, P Koniusz ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2023 | 10* | 2023 |
Flow Dynamics Correction for Action Recognition L Wang, P Koniusz ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
Robust Human Action Modelling L Wang PhD thesis, The Australian National University, 2023 | 4 | 2023 |
Adaptive Multi-head Contrastive Learning L Wang, P Koniusz, T Gedeon, L Zheng arXiv preprint arXiv:2310.05615, 2023 | 2 | 2023 |
AI in Software Engineering: Case Studies and Prospects L Wang Technical Report, 1-14, 2017 | 1* | 2017 |
Optimizing Calibration by Gaining Aware of Prediction Correctness Y Liu, L Wang, Y Zou, J Zou, L Zheng arXiv preprint arXiv:2404.13016, 2024 | | 2024 |
Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment L Wang, J Liu, L Zheng, T Gedeon, P Koniusz International Journal of Computer Vision (IJCV), 2024 | | 2024 |
Advancing Anomaly Detection: An Adaptation Model and a New Dataset L Zhu, A Raj, L Wang arXiv preprint arXiv:2402.04857, 2024 | | 2024 |
Taylor Videos for Action Recognition L Wang, X Yuan, T Gedeon, L Zheng arXiv preprint arXiv:2402.03019, 2024 | | 2024 |