| Adversarial decoupling and modality-invariant representation learning for visible-infrared person re-identification W Hu, B Liu, H Zeng, Y Hou, H Hu IEEE Transactions on Circuits and Systems for Video Technology 32 (8), 5095-5109, 2022 | 36 | 2022 |
| Disentangled spectrum variations networks for NIR–VIS face recognition W Hu, H Hu IEEE Transactions on Multimedia 22 (5), 1234-1248, 2019 | 30 | 2019 |
| Dual face alignment learning network for NIR-VIS face recognition W Hu, W Yan, H Hu IEEE Transactions on Circuits and Systems for Video Technology 32 (4), 2411-2424, 2021 | 29 | 2021 |
| Adversarial disentanglement spectrum variations and cross-modality attention networks for NIR-VIS face recognition W Hu, H Hu IEEE Transactions on Multimedia 23, 145-160, 2020 | 28 | 2020 |
| Dual adversarial disentanglement and deep representation decorrelation for NIR-VIS face recognition W Hu, H Hu IEEE Transactions on Information Forensics and Security 16, 70-85, 2020 | 25 | 2020 |
| Orthogonal modality disentanglement and representation alignment network for NIR-VIS face recognition W Hu, H Hu IEEE Transactions on Circuits and Systems for Video Technology 32 (6), 3630-3643, 2021 | 23 | 2021 |
| Discriminant deep feature learning based on joint supervision loss and multi-layer feature fusion for heterogeneous face recognition W Hu, H Hu Computer Vision and Image Understanding 184, 9-21, 2019 | 23 | 2019 |
| Heterogeneous face recognition based on multiple deep networks with scatter loss and diversity combination W Hu, H Hu, X Lu IEEE Access 7, 75305-75317, 2019 | 15 | 2019 |
| Domain-private factor detachment network for NIR-VIS face recognition W Hu, H Hu IEEE Transactions on Information Forensics and Security 17, 1435-1449, 2022 | 13 | 2022 |
| Domain adversarial disentanglement network with cross-domain synthesis for generalized face anti-spoofing W Yan, Y Zeng, H Hu IEEE Transactions on Circuits and Systems for Video Technology 32 (10), 7033 …, 2022 | 12 | 2022 |
| Heterogeneous face recognition based on modality‐independent Kernel Fisher discriminant analysis joint sparse auto‐encoder W Hu, H Hu Electronics Letters 52 (21), 1753-1755, 2016 | 8 | 2016 |
| Domain discrepancy elimination and mean face representation learning for NIR-VIS face recognition W Hu, H Hu IEEE Signal Processing Letters 28, 2068-2072, 2021 | 7 | 2021 |
| Fine tuning dual streams deep network with multi-scale pyramid decision for heterogeneous face recognition W Hu, H Hu Neural Processing Letters 50, 1465-1483, 2019 | 7 | 2019 |
| Neutral face learning and progressive fusion synthesis network for NIR-VIS face recognition Y Yang, W Hu, H Hu IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 5 | 2023 |
| Robust cross-domain Pseudo-labeling and contrastive learning for unsupervised domain adaptation NIR-VIS face recognition Y Yang, W Hu, H Lin, H Hu IEEE Transactions on Image Processing, 2023 | 3 | 2023 |
| Syncretic space learning network for NIR-VIS face recognition Y Yang, W Hu, H Hu ACM Transactions on Multimedia Computing, Communications and Applications 20 …, 2023 | 3 | 2023 |
| InteractDiffusion: Interaction Control in Text-to-Image Diffusion Models JT Hoe, X Jiang, CS Chan, YP Tan, W Hu arXiv preprint arXiv:2312.05849, 2023 | 2 | 2023 |
| Two‐way constraint network for RGB‐Infrared person re‐identification H Zeng, W Hu, D Chen, H Hu Electronics Letters 57 (17), 653-655, 2021 | 2 | 2021 |
| 核主成分分析网络的人脸识别方法 胡伟鹏， 胡海峰， 顾建权， 李昊曦 中山大学学报: 自然科学版 55 (5), 48-51, 2016 | 2 | 2016 |
| Patch-based alignment-free generic sparse representation for pose-robust face recognition J Gu, H Hu, H Li, W Hu 2016 IEEE International Conference on Image Processing (ICIP), 3006-3010, 2016 | 1 | 2016 |
Haifeng HuSun Yat-sen UniversityVerified email at mail.sysu.edu.cn
