| Neighborhood repulsed metric learning for kinship verification J Lu, X Zhou, YP Tan, Y Shang, J Zhou IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (2), 331-345, 2014 | 528 | 2014 |
| Neighborhood Repulsed Metric Learning for Kinship Verification J Lu, J Hu, X Zhou, Y Shang, YP Tan, G Wang Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, 2012 | 528 | 2012 |
| Learning compact binary face descriptor for face recognition J Lu, VE Liong, X Zhou, J Zhou IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (10), 2041 …, 2015 | 451 | 2015 |
| Discriminative multimetric learning for kinship verification H Yan, J Lu, W Deng, X Zhou IEEE Transactions on Information Forensics and Security 9 (7), 1169-1178, 2014 | 247 | 2014 |
| Visually Interpretable Representation Learning for Depression Recognition from Facial Images X Zhou, K Jin, Y Shang, G Guo IEEE Transactions on Affective Computing 11 (3), 542-552, 2020 | 245 | 2020 |
| Prototype-based discriminative feature learning for kinship verification H Yan, J Lu, X Zhou IEEE Transactions on Cybernetics 45 (11), 2535-2545, 2015 | 198 | 2015 |
| Kinship verification from facial images under uncontrolled conditions X Zhou, J Hu, J Lu, Y Shang, Y Guan Proceedings of the 19th ACM international conference on Multimedia, 953-956, 2011 | 169 | 2011 |
| Gabor-based gradient orientation pyramid for kinship verification under uncontrolled environments X Zhou, J Lu, J Hu, Y Shang Proceedings of the 20th ACM international conference on Multimedia, 725-728, 2012 | 141 | 2012 |
| Ensemble similarity learning for kinship verification from facial images in the wild X Zhou, Y Shang, H Yan, G Guo Information Fusion 32, 40-48, 2016 | 117 | 2016 |
| The fg 2015 kinship verification in the wild evaluation J Lu, J Hu, VE Liong, X Zhou, A Bottino, IU Islam, TF Vieira, X Qin, X Tan, ... Automatic Face and Gesture Recognition (FG), 2015 11th IEEE International …, 2015 | 117 | 2015 |
| Learning Deep Compact Similarity Metric for Kinship Verification from Face Images X Zhou, K Jin, M Xu, G Guo Information Fusion 48, 84-94, 2019 | 83 | 2019 |
| NTIRE 2022 challenge on stereo image super-resolution: Methods and results L Wang, Y Guo, Y Wang, J Li, S Gu, R Timofte, L Chen, X Chu, W Yu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 79 | 2022 |
| Abrupt Motion Tracking via Intensively Adaptive Markov Chain Monte Carlo Sampling X Zhou, Y Lu, J Lu, J Zhou IEEE Transactions on Image Processing 21 (2), 789-801, 2012 | 79 | 2012 |
| Equidistant prototypes embedding for single sample based face recognition with generic learning and incremental learning W Deng, J Hu, X Zhou, J Guo Pattern Recognition 47 (12), 3738-3749, 2014 | 66 | 2014 |
| Kinship verification from facial images by scalable similarity fusion X Zhou, H Yan, Y Shang Neurocomputing 197, 136-142, 2016 | 59 | 2016 |
| Multi-feature multi-manifold learning for single-sample face recognition H Yan, J Lu, X Zhou, Y Shang Neurocomputing 143, 134-143, 2014 | 59 | 2014 |
| Facial Depression Recognition by Deep Joint Label Distribution and Metric Learning X Zhou, Z Wei, M Xu, S Qu, G Guo IEEE Transactions on Affective Computing 13 (3), 1605-1618, 2022 | 55 | 2022 |
| Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling X Zhou, Y Lu Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on …, 2010 | 51 | 2010 |
| Cost-Sensitive Semi-Supervised Discriminant Analysis for Face Recognition J Lu, X Zhou, Y Shang, YP Tan, J Zhou IEEE Transactions on Information Forensics and Security 7 (3), 944-953, 2012 | 49 | 2012 |
| NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops …, 2023 | 45* | 2023 |
Jiwen Lu (鲁继文)Department of Automation, Tsinghua UniversityVerified email at tsinghua.edu.cn
