| A New Representation of Skeleton Sequences for 3D Action Recognition Q Ke, M Bennamoun, S An, F Sohel, F Boussaid CVPR 2017, 2017 | 883 | 2017 |
| Learning clip representations for skeleton-based 3d action recognition Q Ke, M Bennamoun, S An, F Sohel, F Boussaid IEEE Transactions on Image Processing 27 (6), 2842-2855, 2018 | 236 | 2018 |
| Human action recognition from various data modalities: A review Z Sun, Q Ke, H Rahmani, M Bennamoun, G Wang, J Liu IEEE transactions on pattern analysis and machine intelligence, 2022 | 230 | 2022 |
| Skeletonnet: Mining deep part features for 3-d action recognition Q Ke, S An, M Bennamoun, F Sohel, F Boussaid IEEE signal processing letters 24 (6), 731-735, 2017 | 185 | 2017 |
| Time-Conditioned Action Anticipation in One Shot Q Ke, M Fritz, B Schiele CVPR 2019, 2019 | 108 | 2019 |
| Computer vision for human–machine interaction Q Ke, J Liu, M Bennamoun, S An, F Sohel, F Boussaid Computer Vision for Assistive Healthcare, 127-145, 2018 | 98 | 2018 |
| Human interaction prediction using deep temporal features Q Ke, M Bennamoun, S An, F Boussaid, F Sohel European Conference on Computer Vision Workshop, 403-414, 2016 | 60 | 2016 |
| Learning latent global network for skeleton-based action prediction Q Ke, M Bennamoun, H Rahmani, S An, F Sohel, F Boussaid IEEE Transactions on Image Processing 29, 959-970, 2019 | 57 | 2019 |
| Hierarchical paired channel fusion network for street scene change detection Y Lei, D Peng, P Zhang, Q Ke, H Li IEEE Transactions on Image Processing 30, 55-67, 2020 | 52 | 2020 |
| Leveraging structural context models and ranking score fusion for human interaction prediction Q Ke, M Bennamoun, S An, F Sohel, F Boussaid IEEE Transactions on Multimedia 20 (7), 1712-1723, 2017 | 43 | 2017 |
| Is rotation a nuisance in shape recognition? Q Ke, Y Li CVPR 2014, 4146-4153, 2014 | 36 | 2014 |
| Else-net: Elastic semantic network for continual action recognition from skeleton data T Li, Q Ke, H Rahmani, RE Ho, H Ding, J Liu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 35 | 2021 |
| DiffPose: Toward More Reliable 3D Pose Estimation J Gong, LG Foo, Z Fan, Q Ke, H Rahmani, J Liu CVPR, 2023 | 29 | 2023 |
| Long-term anticipation of activities with cycle consistency YA Farha, Q Ke, B Schiele, J Gall arXiv preprint arXiv:2009.01142, 2020 | 29 | 2020 |
| Spatial-Temporal Transformer for 3D Point Cloud Sequences Y Wei, H Liu, T Xie, Q Ke, Y Guo WACV 2022, 2021 | 24 | 2021 |
| Meta agent teaming active learning for pose estimation J Gong, Z Fan, Q Ke, H Rahmani, J Liu CVPR, 11079-11089, 2022 | 18 | 2022 |
| ERA: Expert Retrieval and Assembly for Early Action Prediction LG Foo, T Li, H Rahmani, Q Ke, J Liu European Conference on Computer Vision (ECCV), 2022 | 14 | 2022 |
| Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting A Li, Q Ke, X Ma, H Weng, Z Zong, F Xue, R Zhang IJCAI2021, 2021 | 14 | 2021 |
| Global regularizer and temporal-aware cross-entropy for skeleton-based early action recognition Q Ke, J Liu, M Bennamoun, H Rahmani, S An, F Sohel, F Boussaid Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 14 | 2019 |
| IGFormer: Interaction Graph Transformer for Skeleton-based Human Interaction Recognition Y Pang, Q Ke, H Rahmani, J Bailey, J Liu European Conference on Computer Vision (ECCV), 2022 | 13 | 2022 |
