| Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches R Du, D Chang, AK Bhunia, J Xie, Z Ma, YZ Song, J Guo ECCV-European Conference on Computer Vision, 153-168, 2020 | 369 | 2020 |
| The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification D Chang, Y Ding, J Xie, AK Bhunia, X Li, Z Ma, M Wu, J Guo, YZ Song TIP-IEEE Transactions on Image Processing 29, 4683-4695, 2020 | 348 | 2020 |
| Prediction of Short-Term PV Power Output and Uncertainty Analysis L Liu, Y Zhao, D Chang, J Xie, Z Ma, Q Sun, H Yin, R Wennersten Applied energy 228, 700-711, 2018 | 248 | 2018 |
| AP-CNN: Weakly supervised attention pyramid convolutional neural network for fine-grained visual classification Y Ding, Z Ma, S Wen, J Xie, D Chang, Z Si, M Wu, H Ling TIP-IEEE Transactions on Image Processing 30, 2826-2836, 2021 | 160 | 2021 |
| Fine-grained vehicle classification with channel max pooling modified CNNs Z Ma, D Chang, J Xie, Y Ding, S Wen, X Li, Z Si, J Guo TVT-IEEE Transactions on Vehicular Technology 68 (4), 3224-3233, 2019 | 148 | 2019 |
| Dual cross-entropy loss for small-sample fine-grained vehicle classification X Li, L Yu, D Chang, Z Ma, J Cao TVT-IEEE Transactions on Vehicular Technology 68 (5), 4204-4212, 2019 | 141 | 2019 |
| Your "Flamingo" is My “Bird": Fine-Grained, or Not D Chang, K Pang, Y Zheng, Z Ma, YZ Song, J Guo CVPR-Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 118 | 2021 |
| Progressive learning of category-consistent multi-granularity features for fine-grained visual classification R Du, J Xie, Z Ma, D Chang, YZ Song, J Guo TPAMI-IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12 …, 2021 | 79 | 2021 |
| Progressive co-attention network for fine-grained visual classification T Zhang, D Chang, Z Ma, J Guo VCIP-2021 International Conference on Visual Communications and Image …, 2021 | 58 | 2021 |
| Softmax cross entropy loss with unbiased decision boundary for image classification J Cao, Z Su, L Yu, D Chang, X Li, Z Ma CAC-2018 Chinese automation congress, 2028-2032, 2018 | 46 | 2018 |
| Large-margin regularized softmax cross-entropy loss X Li, D Chang, T Tian, J Cao IEEE access 7, 19572-19578, 2019 | 43 | 2019 |
| Oslnet: Deep small-sample classification with an orthogonal softmax layer X Li, D Chang, Z Ma, ZH Tan, JH Xue, J Cao, J Yu, J Guo TIP-IEEE Transactions on Image Processing 29, 6482-6495, 2020 | 35 | 2020 |
| Grad-CAM guided channel-spatial attention module for fine-grained visual classification S Xu, D Chang, J Xie, Z Ma MLSP-2021 IEEE 31st international workshop on machine learning for signal …, 2021 | 33 | 2021 |
| GPCA: A probabilistic framework for gaussian process embedded channel attention J Xie, Z Ma, D Chang, G Zhang, J Guo TPAMI-IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11 …, 2021 | 33 | 2021 |
| Domain Generalization via Frequency-domain-based Feature Disentanglement and Interaction J Wang, R Du, D Chang, K Liang, Z Ma ACM MM-Proceedings of the 30th ACM International Conference on Multimedia …, 2022 | 23* | 2022 |
| Bi-directional feature reconstruction network for fine-grained few-shot image classification J Wu, D Chang, A Sain, X Li, Z Ma, J Cao, J Guo, YZ Song AAAI-Proceedings of the AAAI Conference on Artificial Intelligence 37 (3 …, 2023 | 21 | 2023 |
| Deep InterBoost networks for small-sample image classification X Li, D Chang, Z Ma, ZH Tan, JH Xue, J Cao, J Guo Neurocomputing 456, 492-503, 2021 | 13 | 2021 |
| Demofusion: Democratising high-resolution image generation with no $$$ R Du, D Chang, T Hospedales, YZ Song, Z Ma CVPR-Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 10 | 2024 |
| On-the-Fly Category Discovery R Du, D Chang, K Liang, T Hospedales, YZ Song, Z Ma CVPR-Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 9 | 2023 |
| Cc-loss: Channel correlation loss for image classification Z Song, D Chang, Z Ma, X Li, ZH Tan ICPR, 7601-7608, 2021 | 9 | 2021 |
Zhanyu MaBeijing University of Posts and TelecommunicationsZweryfikowany adres z bupt.edu.cn
