| A Light CNN for Deep Face Representation with Noisy Labels X Wu, R He, Z Sun, T Tan IEEE Transactions on Information Forensics and Security 13 (11), 2884-2896, 2018 | 1327 | 2018 |
| Wasserstein cnn: Learning invariant features for nir-vis face recognition R He, X Wu, Z Sun, T Tan IEEE Transactions on Pattern Analysis and Machine Intelligence 41 (7), 1761-1773, 2018 | 359 | 2018 |
| Pose-guided photorealistic face rotation Y Hu, X Wu, B Yu, R He, Z Sun CVPR, 8398-8406, 2018 | 215 | 2018 |
| A lightened cnn for deep face representation X Wu, R He, Z Sun arXiv preprint arXiv:1511.02683 4 (8), 2015 | 207 | 2015 |
| Learning Invariant Deep Representation for NIR-VIS Face Recognition R He, X Wu, Z Sun, T Tan AAAI, 2000-2006, 2017 | 177 | 2017 |
| Transferring deep representation for NIR-VIS heterogeneous face recognition X Liu, L Song, X Wu, T Tan ICB, 1-8, 2016 | 157 | 2016 |
| CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification C Fu, Y Hu, X Wu, H Shi, T Mei, R He ICCV, 2021 | 136 | 2021 |
| Adversarial Discriminative Heterogeneous Face Recognition L Song, M Zhang, X Wu, R He AAAI, 7355-7362, 2018 | 127 | 2018 |
| Coupled Deep Learning for Heterogeneous Face Recognition X Wu, L Song, R He, T Tan AAAI, 1679-1686, 2018 | 118 | 2018 |
| DVG-Face: Dual Variational Generation for Heterogeneous Face Recognition C Fu, X Wu, Y Hu, H Huang, R He IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 101 | 2021 |
| Disentangled Variational Representation for Heterogeneous Face Recognition X Wu, H Huang, VM Patel, R He, Z Sun AAAI, 9005-9012, 2019 | 98 | 2019 |
| Dual Variational Generation for Low-Shot Heterogeneous Face Recognition C Fu, X Wu, Y Hu, H Huang, R He NeurIPS, 2670-2679, 2019 | 84 | 2019 |
| HAMBox: Delving Into Mining High-Quality Anchors on Face Detection Y Liu, X Tang, X Wu, J Han, J Liu, E Ding CVPR, 13046-13054, 2020 | 69* | 2020 |
| High fidelity face manipulation with extreme pose and expression C Fu, Y Hu, X Wu, G Wang, Q Zhang, R He IEEE Transactions on Information Forensics and Security 16, 2218-2231, 2021 | 67 | 2021 |
| Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification Y Li, L Song, X Wu, R He, T Tan AAAI, 7057-7064, 2018 | 61 | 2018 |
| TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search Y Hu, X Wu, R He ECCV, 123-139, 2020 | 53 | 2020 |
| M2FPA: A Multi-Yaw Multi-Pitch High-Quality Database and Benchmark for Facial Pose Analysis P Li, X Wu, Y Hu, R He, Z Sun ICCV, 10042-10050, 2019 | 53 | 2019 |
| Learning an evolutionary embedding via massive knowledge distillation X Wu, R He, Y Hu, Z Sun International Journal of Computer Vision 128, 2089–2106, 2020 | 46 | 2020 |
| Coupled adversarial learning for semi-supervised heterogeneous face recognition R He, Y Li, X Wu, L Song, Z Chai, X Wei Pattern Recognition 110, 107618, 2021 | 38 | 2021 |
| Deep label refinement for age estimation P Li, Y Hu, X Wu, R He, Z Sun Pattern Recognition 100, 107178, 2020 | 38 | 2020 |
Ran He, IAPR/IEEE FellowNational Laboratory of Pattern Recognition, CASIAVerified email at nlpr.ia.ac.cn
