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 | 261 | 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 | 118 | 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 | 88 | 2021 |
Tensor Representations for Action Recognition P Koniusz, L Wang, A Cherian IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 44 (2 …, 2020 | 67 | 2020 |
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 | 51 | 2023 |
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 | 50 | 2021 |
Uncertainty-DTW for Time Series and Sequences L Wang, P Koniusz European Conference on Computer Vision (ECCV) [Oral], 176–195, 2022 | 36 | 2022 |
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 | 30 | 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 | 27 | 2019 |
3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve L Wang, J Liu, P Koniusz Research Report, 2021 | 17 | 2021 |
Analysis and evaluation of Kinect-based action recognition algorithms L Wang Master’s thesis, The University of Western Australia, 2017 | 17* | 2017 |
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 | 13 | 2023 |
Flow Dynamics Correction for Action Recognition L Wang, P Koniusz ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2023 | 7 | 2023 |
Robust Human Action Modelling L Wang PhD thesis, The Australian National University, 2023 | 6 | 2023 |
SignLLM: Sign Languages Production Large Language Models S Fang, L Wang, C Zheng, Y Tian, C Chen arXiv preprint arxiv:2405.10718, 2024 | 5 | 2024 |
Taylor Videos for Action Recognition L Wang, X Yuan, T Gedeon, L Zheng International Conference on Machine Learning (ICML), 2024 | 5 | 2024 |
SATO: Stable Text-to-Motion Framework W Chen, H Xiao, E Zhang, L Hu, L Wang, M Liu, C Chen ACM Multimedia (ACM-MM), 2024 | 4 | 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 | 4 | 2024 |
Advancing Video Anomaly Detection: A Concise Review and a New Dataset L Zhu, L Wang, A Raj, T Gedeon, C Chen NeurIPS 2024 Datasets and Benchmarks Track (NeurIPS D&B Track), 2024 | 2 | 2024 |
Motion meets Attention: Video Motion Prompts Q Chen, L Wang, P Koniusz, T Gedeon Asian Conference on Machine Learning (ACML), 2024 | 2 | 2024 |