| A guide to convolutional neural networks for computer vision S Khan, H Rahmani, SAA Shah, M Bennamoun, G Medioni, S Dickinson Morgan & Claypool Publishers 8 (1), 1-207, 2018 | 1011 | 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, 2023 | 641 | 2023 |
| Learning a Deep Model for Human Action Recognition from Novel Viewpoints H Rahmani, A Mian, M Shah IEEE TRANSACTION ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2018 | 271 | 2018 |
| HOPC: Histogram of oriented principal components of 3D pointclouds for action recognition H Rahmani, A Mahmood, DQ Huynh, A Mian European Conference on Computer Vision (ECCV), 742-757, 2014 | 256 | 2014 |
| 3D Action Recognition From Novel Viewpoints H Rahmani, A Mian IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 | 239 | 2016 |
| Histogram of Oriented Principal Components for Cross-View Action Recognition H Rahmani, A Mahmood, D Huynh, A Mian IEEE TRANSACTION ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2016 | 238 | 2016 |
| Learning a non-linear knowledge transfer model for cross-view action recognition H Rahmani, A Mian IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2458-2466, 2015 | 193 | 2015 |
| Real Time Action Recognition Using Histograms of Depth Gradients and Random Decision Forests H Rahmani, A Mahmood, A Mian, D Huynh IEEE Winter Conference on Applications of Computer Vision (WACV), 626-633, 2014 | 155 | 2014 |
| Learning Action Recognition Model From Depth and Skeleton Videos H Rahmani, M Bennamoun IEEE International Conference on Computer Vision (ICCV), 2017 | 139 | 2017 |
| DiffPose: Toward More Reliable 3D Pose Estimation J Gong, LG Foo, Z Fan, Q Ke, H Rahmani, J Liu IEEE Computer Vision and Pattern Recognition (CVPR), 2023 | 137 | 2023 |
| Self-supervised learning with adaptive distillation for hyperspectral image classification J Yue, L Fang, H Rahmani, P Ghamisi IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2021 | 117 | 2021 |
| Recent Advances of Continual Learning in Computer Vision: An Overview H Qu, H Rahmani, L Xu, B Williams, J Liu arXiv, 2021 | 93 | 2021 |
| Handbook of Deep Learning Applications VE Balas, SS Roy, D Sharma, P Samui Springer, 2019 | 87 | 2019 |
| Joint geographical and temporal modeling based on matrix factorization for point-of-interest recommendation HA Rahmani, M Aliannejadi, M Baratchi, F Crestani Advances in Information Retrieval: 42nd European Conference on IR Research …, 2020 | 69 | 2020 |
| 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, 2020 | 68 | 2020 |
| Single image dehazing using deep neural networks C Hodges, M Bennamoun, H Rahmani Pattern Recognition Letters 128, 70-77, 2019 | 60 | 2019 |
| Encryption as a Service (EaaS) as a Solution for Cryptography in Cloud H Rahmani, E Sundararajan, ZM Ali, AM Zin Procedia Technology 11, 1202-1210, 2013 | 59 | 2013 |
| 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 | 53 | 2021 |
| Discriminative human action classification using locality-constrained linear coding H Rahmani, DQ Huynh, A Mahmood, A Mian Pattern Recognition Letters 72, 62-71, 2016 | 52 | 2016 |
| Learning Human Pose Models from Synthesized Data for Robust RGB-D Action Recognition J Liu, H Rahmani, N Akhtar, A Mian International Journal of Computer Vision (IJCV), 2019 | 49 | 2019 |
Jun LiuProfessor, Lancaster Universitylancaster.ac.uk의 이메일 확인됨