| OULU-NPU: A mobile face presentation attack database with real-world variations Z Boulkenafet, J Komulainen, L Li, X Feng, A Hadid 2017 12th IEEE international conference on automatic face & gesture …, 2017 | 559 | 2017 |
| An original face anti-spoofing approach using partial convolutional neural network L Li, X Feng, Z Boulkenafet, Z Xia, M Li, A Hadid 2016 sixth international conference on image processing theory, tools and …, 2016 | 329 | 2016 |
| A competition on generalized software-based face presentation attack detection in mobile scenarios Z Boulkenafet, J Komulainen, Z Akhtar, A Benlamoudi, D Samai, ... 2017 IEEE international joint conference on biometrics (IJCB), 688-696, 2017 | 155 | 2017 |
| Face spoofing detection with local binary pattern network L Li, X Feng, Z Xia, X Jiang, A Hadid Journal of visual communication and image representation 54, 182-192, 2018 | 94 | 2018 |
| Face anti-spoofing via deep local binary pattern L Li, X Feng Deep learning in object detection and recognition, 91-111, 2019 | 65 | 2019 |
| Kinship verification from faces via similarity metric based convolutional neural network L Li, X Feng, X Wu, Z Xia, A Hadid Image Analysis and Recognition: 13th International Conference, ICIAR 2016 …, 2016 | 62 | 2016 |
| Replayed video attack detection based on motion blur analysis L Li, Z Xia, A Hadid, X Jiang, H Zhang, X Feng IEEE Transactions on Information Forensics and Security 14 (9), 2246-2261, 2019 | 57 | 2019 |
| Towards facial expression recognition in the wild: A new database and deep recognition system X Peng, Z Xia, L Li, X Feng Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 54 | 2016 |
| 3D face mask presentation attack detection based on intrinsic image analysis L Li, Z Xia, X Jiang, Y Ma, F Roli, X Feng Iet Biometrics 9 (3), 100-108, 2020 | 34 | 2020 |
| Face anti-spoofing via hybrid convolutional neural network L Li, Z Xia, L Li, X Jiang, X Feng, F Roli 2017 International Conference on the Frontiers and Advances in Data Science …, 2017 | 27 | 2017 |
| CompactNet: learning a compact space for face presentation attack detection L Li, Z Xia, X Jiang, F Roli, X Feng neurocomputing 409, 191-207, 2020 | 26 | 2020 |
| Face presentation attack detection based on optical flow and texture analysis L Li, Z Xia, J Wu, L Yang, H Han Journal of King Saud University-Computer and Information Sciences 34 (4 …, 2022 | 23 | 2022 |
| Pain-awareness multistream convolutional neural network for pain estimation D Huang, Z Xia, L Li, K Wang, X Feng Journal of Electronic Imaging 28 (4), 043008-043008, 2019 | 18 | 2019 |
| Infrared and visible image fusion using a shallow CNN and structural similarity constraint L Li, Z Xia, H Han, G He, F Roli, X Feng IET Image Processing 14 (14), 3562-3571, 2020 | 16 | 2020 |
| Micro-expression spotting with multi-scale local transformer in long videos X Guo, X Zhang, L Li, Z Xia Pattern Recognition Letters 168, 146-152, 2023 | 14 | 2023 |
| Similar trademark image retrieval based on convolutional neural network and constraint theory T Lan, X Feng, L Li, Z Xia 2018 Eighth International Conference on Image Processing Theory, Tools and …, 2018 | 14 | 2018 |
| Face presentation attack detection in learned color-liked space L Li, Z Xia, X Jiang, F Roli, X Feng arXiv preprint arXiv:1810.13170, 2018 | 13 | 2018 |
| Wooden spoon crack detection by prior knowledge-enriched deep convolutional network L Li, Z Li, H Han, L Yang, X Feng, F Roli, Z Xia Engineering Applications of Artificial Intelligence 126, 106810, 2023 | 5 | 2023 |
| Kinship verification based on deep learning X Wu, X Feng, L Li, E Boutellaa, A Hadid Deep Learning in Object Detection and Recognition, 113-132, 2019 | 5 | 2019 |
| Pain estimation with integrating global‐wise and region‐wise convolutional networks D Huang, Z Xia, L Li, Y Ma IET Image Processing 17 (3), 637-648, 2023 | 4 | 2023 |
Zhaoqiang XiaNorthwestern Polytechnical University在 nwpu.edu.cn 的电子邮件经过验证
Zhaoqiang XiaNorthwestern Polytechnical University在 nwpu.edu.cn 的电子邮件经过验证
Fabio RoliProfessor, University of Genova, Italy在 unige.it 的电子邮件经过验证