Dongliang Chang(常东良)
Dongliang Chang(常东良)
Ph.D. candidate of PRIS lab, BUPT
Verified email at bupt.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
752018
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
IEEE Transactions on Vehicular Technology 68 (4), 3224-3233, 2019
502019
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
IEEE Transactions on Image Processing 29, 4683-4695, 2020
472020
Dual cross-entropy loss for small-sample fine-grained vehicle classification
X Li, L Yu, D Chang, Z Ma, J Cao
IEEE Transactions on Vehicular Technology 68 (5), 4204-4212, 2019
452019
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
European Conference on Computer Vision, 153-168, 2020
212020
Softmax cross entropy loss with unbiased decision boundary for image classification
J Cao, Z Su, L Yu, D Chang, X Li, Z Ma
2018 Chinese Automation Congress (CAC), 2028-2032, 2018
122018
Large-margin regularized softmax cross-entropy loss
X Li, D Chang, T Tian, J Cao
IEEE Access 7, 19572-19578, 2019
92019
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
IEEE Transactions on Image Processing 29, 6482-6495, 2020
62020
IU-Module: intersection and union module for fine-grained visual classification
Y Zheng, D Chang, J Xie, Z Ma
2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020
32020
Deep InterBoost networks for small-sample image classification
X Li, D Chang, Z Ma, ZH Tan, JH Xue, J Cao, J Guo
Neurocomputing, 2020
22020
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
IEEE Transactions on Image Processing 30, 2826-2836, 2021
12021
Your" Labrador" is My" Dog": Fine-Grained, or Not
D Chang, K Pang, Y Zheng, Z Ma, YZ Song, J Guo
arXiv preprint arXiv:2011.09040, 2020
12020
Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation
D Chang, A Sain, Z Ma, YZ Song, J Guo
arXiv preprint arXiv:2003.03787, 2020
12020
Weakly supervised attention pyramid convolutional neural network for fine-grained visual classification
Y Ding, S Wen, J Xie, D Chang, Z Ma, Z Si, H Ling
arXiv preprint arXiv:2002.03353, 2020
12020
FICAL: Focal Inter-Class Angular Loss for Image Classification
X Wei, D Chang, J Xie, Y Zheng, C Gong, C Zhang, Z Ma
2019 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2019
12019
Mixed Attention Mechanism for Small-Sample Fine-grained Image Classification
X Li, J Wu, D Chang, W Huang, Z Ma, J Cao
2019 Asia-Pacific Signal and Information Processing Association Annual …, 2019
12019
Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features
D Chang, Y Zheng, Z Ma, R Du, K Liang
arXiv preprint arXiv:2102.00367, 2021
2021
Grad-CAM guided channel-spatial attention module for fine-grained visual classification
S Xu, D Chang, J Xie, Z Ma
arXiv preprint arXiv:2101.09666, 2021
2021
Progressive Co-Attention Network for Fine-grained Visual Classification
T Zhang, D Chang, Z Ma, J Guo
arXiv preprint arXiv:2101.08527, 2021
2021
Knowledge Transfer Based Fine-grained Visual Classification
S Zhang, R Du, D Chang, Z Ma, J Guo
arXiv preprint arXiv:2012.11389, 2020
2020
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Articles 1–20