| Learning common and specific features for rgb-d semantic segmentation with deconvolutional networks J Wang, Z Wang, D Tao, S See, G Wang European Conference on Computer Vision, 664-679, 2016 | 173 | 2016 |
| Unsupervised deep clustering via adaptive GMM modeling and optimization J Wang, J Jiang Neurocomputing 433, 199-211, 2021 | 56 | 2021 |
| Few-Shot Classification with Contrastive Learning Z Yang, J Wang, Y Zhu European Conference on Computer Vision, 293-309, 2022 | 55 | 2022 |
| Orthogonal discriminant vector for face recognition across pose J Wang, J You, Q Li, Y Xu Pattern Recognition 45 (12), 4069-4079, 2012 | 50 | 2012 |
| Extract minimum positive and maximum negative features for imbalanced binary classification J Wang, J You, Q Li, Y Xu Pattern Recognition 45 (3), 1136-1145, 2012 | 44 | 2012 |
| Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation J Wang, J Jiang Proceedings of the IEEE International Conference on Computer Vision, 3375-3384, 2019 | 43 | 2019 |
| Fast kernel Fisher discriminant analysis via approximating the kernel principal component analysis J Wang, Q Li, J You, Q Zhao Neurocomputing 74 (17), 3313-3322, 2011 | 37 | 2011 |
| Hierarchical spatial sum–product networks for action recognition in still images J Wang, G Wang IEEE Transactions on Circuits and Systems for Video Technology 28 (1), 90-100, 2016 | 24 | 2016 |
| Adversarial Learning for Zero-shot Domain Adaptation J Wang, J Jiang European Conference on Computer Vision, 329-344, 2020 | 23 | 2020 |
| Breast cancer diagnosis based on a kernel orthogonal transform Y Xu, Q Zhu, J Wang Neural Computing and Applications 21 (8), 1865-1870, 2012 | 23 | 2012 |
| Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition T Li, LG Foo, Q Ke, H Rahmani, A Wang, J Wang, J Liu European Conference on Computer Vision, 386-403, 2022 | 22 | 2022 |
| An efficient method for computing orthogonal discriminant vectors J Wang, Y Xu, D Zhang, J You Neurocomputing 73 (10-12), 2168-2176, 2010 | 20 | 2010 |
| Learning across Tasks for Zero-Shot Domain Adaptation from a Single Source Domain J Wang, J Jiang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 18 | 2021 |
| Domain Shift Preservation for Zero-Shot Domain Adaptation J Wang, MM Cheng, J Jiang IEEE Transactions on Image Processing 30, 5505-5517, 2021 | 18 | 2021 |
| An efficient KPCA algorithm based on feature correlation evaluation Z Fan, J Wang, B Xu, P Tang Neural Computing and Applications 24 (7-8), 1795-1806, 2014 | 18 | 2014 |
| SA-Net: A deep spectral analysis network for image clustering J Wang, J Jiang Neurocomputing 383, 10-23, 2020 | 15 | 2020 |
| Kernel based sparse representation for face recognition Q Zhu, Y Xu, J Wang, Z Fan Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 15 | 2012 |
| Enlarge the training set based on inter-class relationship for face recognition from one image per person Q Li, HJ Wang, J You, ZM Li, JX Li PloS one 8 (7), e68539, 2013 | 13 | 2013 |
| CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection Y Liu, J Wang, C Huang, Y Wang, Y Xu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 23776 …, 2023 | 12 | 2023 |
| An Unsupervised Deep Learning Framework via Integrated Optimization of Representation Learning and GMM-Based Modeling J Wang, J Jiang Asian Conference on Computer Vision 2018, 249-265, 2018 | 12 | 2018 |
Yong XuBio-Computing Research Center, Harbin Institute of Technology, Shenzhen在 hitsz.edu.cn 的电子邮件经过验证
