| When face recognition meets with deep learning: an evaluation of convolutional neural networks for face recognition G Hu, Y Yang, D Yi, J Kittler, W Christmas, SZ Li, T Hospedales Proceedings of the IEEE international conference on computer vision …, 2015 | 464 | 2015 |
| Ranked list loss for deep metric learning X Wang, Y Hua, E Kodirov, G Hu, R Garnier, NM Robertson Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 317 | 2019 |
| A multiresolution 3d morphable face model and fitting framework P Huber, G Hu, R Tena, P Mortazavian, WP Koppen, WJ Christmas, ... International conference on computer vision theory and applications 5, 79-86, 2016 | 303 | 2016 |
| DADA: Differentiable Automatic Data Augmentation Y Li, G Hu, Y Wang, T Hospedales, NM Robertson, Y Yang European Conference on Computer Vision, 580-595, 2020 | 204* | 2020 |
| Attention-based two-stream convolutional networks for face spoofing detection H Chen, G Hu, Z Lei, Y Chen, NM Robertson, SZ Li IEEE Transactions on Information Forensics and Security 15, 578-593, 2019 | 202 | 2019 |
| Frankenstein: Learning deep face representations using small data G Hu, X Peng, Y Yang, TM Hospedales, J Verbeek IEEE Transactions on Image Processing 27 (1), 293-303, 2017 | 160 | 2017 |
| Dpt: Deformable patch-based transformer for visual recognition Z Chen, Y Zhu, C Zhao, G Hu, W Zeng, J Wang, M Tang Proceedings of the 29th ACM international conference on multimedia, 2899-2907, 2021 | 121 | 2021 |
| Cascaded collaborative regression for robust facial landmark detection trained using a mixture of synthetic and real images with dynamic weighting ZH Feng, G Hu, J Kittler, W Christmas, XJ Wu IEEE Transactions on Image Processing 24 (11), 3425-3440, 2015 | 113 | 2015 |
| ISTVT: interpretable spatial-temporal video transformer for deepfake detection C Zhao, C Wang, G Hu, H Chen, C Liu, J Tang IEEE Transactions on Information Forensics and Security 18, 1335-1348, 2023 | 101 | 2023 |
| Attribute-enhanced face recognition with neural tensor fusion networks G Hu, Y Hua, Y Yuan, Z Zhang, Z Lu, SS Mukherjee, TM Hospedales, ... Proceedings of the IEEE International Conference on Computer Vision, 3744-3753, 2017 | 96 | 2017 |
| Training noise-robust deep neural networks via meta-learning Z Wang, G Hu, Q Hu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 95 | 2020 |
| Deep stock representation learning: From candlestick charts to investment decisions G Hu, Y Hu, K Yang, Z Yu, F Sung, Z Zhang, F Xie, J Liu, N Robertson, ... 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 74 | 2018 |
| Adaptive Variance Based Label Distribution Learning For Facial Age Estimation X Wen, B Li, H Guo, Z Liu, G Hu, M Tang, J Wang European Conference on Computer Vision, 2020 | 73 | 2020 |
| Semantic alignment: Finding semantically consistent ground-truth for facial landmark detection Z Liu, X Zhu, G Hu, H Guo, M Tang, Z Lei, NM Robertson, J Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 73 | 2019 |
| Led3d: A lightweight and efficient deep approach to recognizing low-quality 3d faces G Mu, D Huang, G Hu, J Sun, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 71 | 2019 |
| Opanas: One-shot path aggregation network architecture search for object detection T Liang, Y Wang, Z Tang, G Hu, H Ling Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 69 | 2021 |
| Face recognition using a unified 3D morphable model G Hu, F Yan, CH Chan, W Deng, W Christmas, J Kittler, NM Robertson Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 66 | 2016 |
| Conv-adapter: Exploring parameter efficient transfer learning for convnets H Chen, R Tao, H Zhang, Y Wang, X Li, W Ye, J Wang, G Hu, M Savvides Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 61 | 2024 |
| Mamba: Multi-level aggregation via memory bank for video object detection G Sun, Y Hua, G Hu, N Robertson Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 2620-2627, 2021 | 61 | 2021 |
| Deep metric learning by online soft mining and class-aware attention X Wang, Y Hua, E Kodirov, G Hu, NM Robertson Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5361-5368, 2019 | 55 | 2019 |
Josef KittlerUniversity of SurreyVerificeret mail på surrey.ac.uk