| Generalized focal loss: Learning qualified and distributed bounding boxes for dense object detection X Li, W Wang, L Wu, S Chen, X Hu, J Li, J Tang, J Yang Advances in Neural Information Processing Systems 33, 21002-21012, 2020 | 1215 | 2020 |
| Generalized focal loss v2: Learning reliable localization quality estimation for dense object detection X Li, W Wang, X Hu, J Li, J Tang, J Yang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 291 | 2021 |
| Cross-x learning for fine-grained visual categorization W Luo, X Yang, X Mo, Y Lu, LS Davis, J Li, J Yang, SN Lim Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 260 | 2019 |
| Convolutional sparse autoencoders for image classification W Luo, J Li, J Yang, W Xu, J Zhang IEEE transactions on neural networks and learning systems 29 (7), 3289-3294, 2017 | 155 | 2017 |
| RigNet: Repetitive image guided network for depth completion Z Yan, K Wang, X Li, Z Zhang, J Li, J Yang European Conference on Computer Vision, 214-230, 2022 | 121 | 2022 |
| Curriculum temperature for knowledge distillation Z Li, X Li, L Yang, B Zhao, R Song, L Luo, J Li, J Yang Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 1504-1512, 2023 | 111 | 2023 |
| Clustering with outlier removal H Liu, J Li, Y Wu, Y Fu IEEE transactions on knowledge and data engineering 33 (6), 2369-2379, 2019 | 100 | 2019 |
| Deeply learned view-invariant features for cross-view action recognition Y Kong, Z Ding, J Li, Y Fu IEEE Transactions on Image Processing 26 (6), 3028-3037, 2017 | 95 | 2017 |
| Deep alignment network based multi-person tracking with occlusion and motion reasoning Q Zhou, B Zhong, Y Zhang, J Li, Y Fu IEEE Transactions on Multimedia 21 (5), 1183-1194, 2018 | 86 | 2018 |
| Sparseness analysis in the pretraining of deep neural networks J Li, T Zhang, W Luo, J Yang, XT Yuan, J Zhang IEEE transactions on neural networks and learning systems 28 (6), 1425-1438, 2016 | 86 | 2016 |
| Deep convolutional neural network with independent softmax for large scale face recognition Y Wu, J Li, Y Kong, Y Fu Proceedings of the 24th ACM international conference on Multimedia, 1063-1067, 2016 | 83 | 2016 |
| Learning semantically enhanced feature for fine-grained image classification W Luo, H Zhang, J Li, XS Wei IEEE Signal Processing Letters 27, 1545-1549, 2020 | 82 | 2020 |
| Hierarchical tracking by reinforcement learning-based searching and coarse-to-fine verifying B Zhong, B Bai, J Li, Y Zhang, Y Fu IEEE Transactions on Image Processing 28 (5), 2331-2341, 2018 | 81 | 2018 |
| Adversarial graph embedding for ensemble clustering Z Tao, H Liu, J Li, Z Wang, Y Fu International Joint Conferences on Artificial Intelligence Organization, 2019 | 80 | 2019 |
| Deep face recognition with center invariant loss Y Wu, H Liu, J Li, Y Fu Proceedings of the on Thematic Workshops of ACM Multimedia 2017, 408-414, 2017 | 75 | 2017 |
| Regularizing nighttime weirdness: Efficient self-supervised monocular depth estimation in the dark K Wang, Z Zhang, Z Yan, X Li, B Xu, J Li, J Yang Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 74 | 2021 |
| Sparse deep stacking network for image classification J Li, H Chang, J Yang Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015 | 63 | 2015 |
| Adversarial metric learning S Chen, C Gong, J Yang, X Li, Y Wei, J Li arXiv preprint arXiv:1802.03170, 2018 | 47 | 2018 |
| Deep learning for fashion style generation S Jiang, J Li, Y Fu IEEE Transactions on Neural Networks and Learning Systems 33 (9), 4538-4550, 2021 | 44 | 2021 |
| Sampling network guided cross-entropy method for unsupervised point cloud registration H Jiang, Y Shen, J Xie, J Li, J Qian, J Yang Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 39 | 2021 |
Jian YangProf. of Computer Science, Nanjing University of Science and Technology在 njust.edu.cn 的电子邮件经过验证