| Defense against universal adversarial perturbations N Akhtar, J Liu, A Mian Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 278 | 2018 |
| Skepxels: Spatio-temporal image representation of human skeleton joints for action recognition J Liu, N Akhtar, A Mian Computer Vision and Pattern Recognition Workshops 2019, 2019 | 116 | 2019 |
| Adversarial attack on skeleton-based human action recognition J Liu, N Akhtar, A Mian IEEE Transactions on Neural Networks and Learning Systems 33 (4), 1609-1622, 2020 | 80 | 2020 |
| Benchmark data set and method for depth estimation from light field images M Feng, Y Wang, J Liu, L Zhang, HFM Zaki, A Mian IEEE transactions on image processing 27 (7), 3586-3598, 2018 | 51 | 2018 |
| 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, 2019 | 49 | 2019 |
| Viewpoint invariant action recognition using rgb-d videos J Liu, N Akhtar, A Mian IEEE Access 6, 70061-70071, 2018 | 20 | 2018 |
| Viewpoint invariant RGB-D human action recognition J Liu, N Akhtar, A Mian 2017 International Conference on Digital Image Computing: Techniques and …, 2017 | 13 | 2017 |
| Deep reconstruction of 3-d human poses from video J Liu, N Akhtar, A Mian IEEE Transactions on Artificial Intelligence 4 (3), 497-510, 2022 | 12 | 2022 |
| Temporally coherent full 3D mesh human pose recovery from monocular video J Liu, N Akhtar, A Mian arXiv preprint arXiv:1906.00161, 2019 | 10 | 2019 |
| Defense against Universal Adversarial Perturbations (Supplementary material) N Akhtar, J Liu, A Mian | | |
Ajmal Saeed MianProfessor at The University of Western AustraliaVerified email at uwa.edu.au
