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Dongliang Chang
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Journal Articles
- 2024
- [j15]Ruoyi Du
, Dongliang Chang
Semi-Supervised Learning for FGVC With Out-of-Category Data. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2658-2671 (2024) - [j14]Jijie Wu
Bi-Directional Ensemble Feature Reconstruction Network for Few-Shot Fine-Grained Classification. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6082-6096 (2024) - [j13]Dongliang Chang
Mind the Gap: Open Set Domain Adaptation via Mutual-to-Separate Framework. IEEE Trans. Circuits Syst. Video Technol. 34(6): 4159-4174 (2024) - [j12]Yixiao Zheng, Kaiyue Pang, Ayan Das, Dongliang Chang
CreativeSeg: Semantic Segmentation of Creative Sketches. IEEE Trans. Image Process. 33: 2266-2278 (2024) - 2023
- [j11]Dongliang Chang
Making a Bird AI Expert Work for You and Me. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12068-12084 (2023) - 2022
- [j10]Jiyang Xie
GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel Attention. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8230-8248 (2022) - [j9]Ruoyi Du
Progressive Learning of Category-Consistent Multi-Granularity Features for Fine-Grained Visual Classification. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9521-9535 (2022) - 2021
- [j8]Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao, Jun Guo:
Deep InterBoost networks for small-sample image classification. Neurocomputing 456: 492-503 (2021) - [j7]Ke Zhang, Yurong Guo, Xinsheng Wang, Dongliang Chang, Zhenbing Zhao, Zhanyu Ma, Tony X. Han:
Competing ratio loss for discriminative multi-class image classification. Neurocomputing 464: 473-484 (2021) - [j6]Yifeng Ding
AP-CNN: Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification. IEEE Trans. Image Process. 30: 2826-2836 (2021) - 2020
- [j5]Dongliang Chang
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification. IEEE Trans. Image Process. 29: 4683-4695 (2020) - [j4]Xiaoxu Li
OSLNet: Deep Small-Sample Classification With an Orthogonal Softmax Layer. IEEE Trans. Image Process. 29: 6482-6495 (2020) - 2019
- [j3]Xiaoxu Li
Large-Margin Regularized Softmax Cross-Entropy Loss. IEEE Access 7: 19572-19578 (2019) - [j2]Zhanyu Ma
Fine-Grained Vehicle Classification With Channel Max Pooling Modified CNNs. IEEE Trans. Veh. Technol. 68(4): 3224-3233 (2019) - [j1]Xiaoxu Li
Dual Cross-Entropy Loss for Small-Sample Fine-Grained Vehicle Classification. IEEE Trans. Veh. Technol. 68(5): 4204-4212 (2019)
Conference and Workshop Papers
- 2024
- [c27]Ruoyi Du, Dongliang Chang, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma:
DemoFusion: Democratising High-Resolution Image Generation With No $$$. CVPR 2024: 6159-6168 - [c26]Shicheng Yang
Channel-Spatial Support-Query Cross-Attention for Fine-Grained Few-Shot Image Classification. ACM Multimedia 2024: 9175-9183 - 2023
- [c25]Jijie Wu, Dongliang Chang, Aneeshan Sain
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification. AAAI 2023: 2821-2829 - [c24]Meijiang Fu, Yixiao Zheng, Dongliang Chang, Wenpan Li, Zhanyu Ma:
Multi-Frequency Feature Enhancement for Multi-Granularity Visual Classification. APSIPA ASC 2023: 484-489 - [c23]Dongliang Chang, Yujun Tong, Ruoyi Du, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma:
An Erudite Fine-Grained Visual Classification Model. CVPR 2023: 7268-7277 - [c22]Ruoyi Du, Dongliang Chang, Kongming Liang, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma:
On-the-Fly Category Discovery. CVPR 2023: 11691-11700 - [c21]Ruoyi Du, Wenqing Yu, Heqing Wang, Ting-En Lin, Dongliang Chang, Zhanyu Ma:
Multi-View Active Fine-Grained Visual Recognition. ICCV 2023: 1568-1578 - [c20]Wenqing Yu, Dongliang Chang, Kongming Liang, Zhanyu Ma:
Bilinear Adversarial Network for Fine-Grained Domain Adaptation. IC-NIDC 2023: 132-136 - 2022
- [c19]Jingye Wang, Ruoyi Du, Dongliang Chang, Kongming Liang, Zhanyu Ma:
Domain Generalization via Frequency-domain-based Feature Disentanglement and Interaction. ACM Multimedia 2022: 4821-4829 - [c18]Dongliang Chang, Junhan Chen, Xinran Wang, Ruoyi Du, Wenqing Yu, Yufan Liu, Yujun Tong, Kongming Liang, Yi-Zhe Song
Complex Scenario-Oriented Fine-Grained Visual Classification Platform. MMSP 2022: 1 - [c17]Yitao Chen, Shibo Nie, Mandan Guan, Jie Wang, Ruoyi Du, Dongliang Chang, Kongming Liang, Zhanyu Ma:
Multi-modal Human-machine Conversation System for Real Physical World. MMSP 2022: 1 - [c16]Junhan Chen, Dongliang Chang, Jiyang Xie, Ruoyi Du, Zhanyu Ma:
Cross-Layer Feature based Multi-Granularity Visual Classification. VCIP 2022: 1-5 - 2021
- [c15]Dongliang Chang, Kaiyue Pang, Yixiao Zheng, Zhanyu Ma, Yi-Zhe Song
Your "Flamingo" is My "Bird": Fine-Grained, or Not. CVPR 2021: 11476-11485 - [c14]Siqing Zhang, Ruoyi Du, Dongliang Chang, Zhanyu Ma, Jun Guo:
Knowledge Transfer Based Fine-Grained Visual Classification. ICME 2021: 1-6 - [c13]Shuai Xu, Dongliang Chang, Jiyang Xie, Zhanyu Ma:
GRAD-CAM Guided Channel-Spatial Attention Module for Fine-Grained Visual Classification. MLSP 2021: 1-6 - [c12]Haoyu Wang, Dongliang Chang, Weidong Liu, Bo Xiao, Zhanyu Ma, Jun Guo, Yaning Chang:
Exploring Category-Shared and Category-Specific Features for Fine-Grained Image Classification. PRCV (1) 2021: 179-190 - [c11]Tian Zhang, Dongliang Chang, Zhanyu Ma, Jun Guo:
Progressive Co-Attention Network for Fine-Grained Visual Classification. VCIP 2021: 1-5 - 2020
- [c10]Ruoyi Du
Fine-Grained Visual Classification via Progressive Multi-granularity Training of Jigsaw Patches. ECCV (20) 2020: 153-168 - [c9]Yixiao Zheng, Dongliang Chang, Jiyang Xie, Zhanyu Ma:
IU-Module: Intersection and Union Module for Fine-Grained Visual Classification. ICME 2020: 1-6 - [c8]Junhui Yin, Siqing Zhang, Dongliang Chang, Zhanyu Ma, Jun Guo:
Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization. ICPR 2020: 4229-4236 - [c7]Zeyu Song, Dongliang Chang, Zhanyu Ma, Xiaoxu Li, Zheng-Hua Tan:
CC-Loss: Channel Correlation Loss for Image Classification. ICPR 2020: 7601-7608 - 2019
- [c6]Jie Cao, Yinping Qiu, Dongliang Chang, Xiaoxu Li, Zhanyu Ma:
Dynamic Attention Loss for Small-Sample Image Classification. APSIPA 2019: 75-79 - [c5]Xiaoxu Li, Jijie Wu, Dongliang Chang, Weifeng Huang, Zhanyu Ma, Jie Cao:
Mixed Attention Mechanism for Small-Sample Fine-grained Image Classification. APSIPA 2019: 80-85 - [c4]Xiaoxu Li, Liyun Yu, Jie Cao, Dongliang Chang, Zhanyu Ma, Nian Liu:
Small-Sample Image Classification Method of Combining Prototype and Margin Learning. APSIPA 2019: 91-95 - [c3]Lu Cheng, Dongliang Chang, Jiyang Xie, Rongliang Ma, Chunsheng Wu, Zhanyu Ma:
Channel Max Pooling for Image Classification. IScIDE (1) 2019: 273-284 - [c2]Xinran Wei, Dongliang Chang, Jiyang Xie, Yixiao Zheng, Chen Gong, Chuang Zhang, Zhanyu Ma:
FICAL: Focal Inter-Class Angular Loss for Image Classification. VCIP 2019: 1-4 - 2018
- [c1]Dongliang Chang, Xiaoxu Li, Jiyang Xie, Zhanyu Ma, Jun Guo, Jie Cao:
SSE: A New Selective Initialization Strategy for Snapshot Ensembling. CCIS 2018: 542-547
Informal and Other Publications
- 2024
- [i22]Mengqiu Xu, Ming Wu, Kaixin Chen, Yixiang Huang, Mingrui Xu, Yujia Yang, Yiqing Feng, Yiying Guo, Bin Huang, Dongliang Chang, Zhenwei Shi, Chuang Zhang, Zhanyu Ma, Jun Guo:
M4Fog: A Global Multi-Regional, Multi-Modal, and Multi-Stage Dataset for Marine Fog Detection and Forecasting to Bridge Ocean and Atmosphere. CoRR abs/2406.13317 (2024) - 2023
- [i21]Ruoyi Du, Dongliang Chang, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma:
DemoFusion: Democratising High-Resolution Image Generation With No $$$. CoRR abs/2311.16973 (2023) - 2022
- [i20]Jingye Wang, Ruoyi Du, Dongliang Chang, Zhanyu Ma:
Domain Generalization via Frequency-based Feature Disentanglement and Interaction. CoRR abs/2201.08029 (2022) - [i19]Ruoyi Du, Wenqing Yu, Heqing Wang, Dongliang Chang, Ting-En Lin, Yongbin Li, Zhanyu Ma:
Multi-View Active Fine-Grained Recognition. CoRR abs/2206.01153 (2022) - [i18]Jijie Wu, Dongliang Chang, Aneeshan Sain
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification. CoRR abs/2211.17161 (2022) - 2021
- [i17]Tian Zhang, Dongliang Chang, Zhanyu Ma, Jun Guo:
Progressive Co-Attention Network for Fine-grained Visual Classification. CoRR abs/2101.08527 (2021) - [i16]Shuai Xu, Dongliang Chang, Jiyang Xie, Zhanyu Ma:
Grad-CAM guided channel-spatial attention module for fine-grained visual classification. CoRR abs/2101.09666 (2021) - [i15]Dongliang Chang, Yixiao Zheng, Zhanyu Ma, Ruoyi Du, Kongming Liang:
Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features. CoRR abs/2102.00367 (2021) - [i14]Dongliang Chang, Kaiyue Pang, Ruoyi Du, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
Making a Bird AI Expert Work for You and Me. CoRR abs/2112.02747 (2021) - [i13]Ruoyi Du, Dongliang Chang, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
Clue Me In: Semi-Supervised FGVC with Out-of-Distribution Data. CoRR abs/2112.02825 (2021) - 2020
- [i12]Yifeng Ding, Shaoguo Wen, Jiyang Xie, Dongliang Chang, Zhanyu Ma, Zhongwei Si, Haibin Ling:
Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification. CoRR abs/2002.03353 (2020) - [i11]Dongliang Chang, Yifeng Ding, Jiyang Xie, Ayan Kumar Bhunia, Xiaoxu Li, Zhanyu Ma, Ming Wu, Jun Guo, Yi-Zhe Song:
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification. CoRR abs/2002.04264 (2020) - [i10]Dongliang Chang, Aneeshan Sain
Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation. CoRR abs/2003.03787 (2020) - [i9]Ruoyi Du, Dongliang Chang, Ayan Kumar Bhunia, Jiyang Xie, Yi-Zhe Song, Zhanyu Ma, Jun Guo:
Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches. CoRR abs/2003.03836 (2020) - [i8]Jiyang Xie, Dongliang Chang, Zhanyu Ma, Guoqiang Zhang, Jun Guo:
Channel Attention with Embedding Gaussian Process: A Probabilistic Methodology. CoRR abs/2003.04575 (2020) - [i7]Junhui Yin, Siqing Zhang, Dongliang Chang, Zhanyu Ma, Jun Guo:
Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization. CoRR abs/2003.04719 (2020) - [i6]Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao, Jingyi Yu, Jun Guo:
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer. CoRR abs/2004.09033 (2020) - [i5]Zeyu Song, Dongliang Chang, Zhanyu Ma, Xiaoxu Li, Zheng-Hua Tan:
CC-Loss: Channel Correlation Loss For Image Classification. CoRR abs/2010.05469 (2020) - [i4]Dongliang Chang, Kaiyue Pang, Yixiao Zheng, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
Your "Labrador" is My "Dog": Fine-Grained, or Not. CoRR abs/2011.09040 (2020) - [i3]Siqing Zhang, Ruoyi Du, Dongliang Chang, Zhanyu Ma, Jun Guo:
Knowledge Transfer Based Fine-grained Visual Classification. CoRR abs/2012.11389 (2020) - 2019
- [i2]Zhanyu Ma, Dongliang Chang, Xiaoxu Li:
Channel Max Pooling Layer for Fine-Grained Vehicle Classification. CoRR abs/1902.11107 (2019) - [i1]Ke Zhang, Xinsheng Wang, Yurong Guo, Dongliang Chang, Zhenbing Zhao, Zhanyu Ma, Tony X. Han:
Competing Ratio Loss for Discriminative Multi-class Image Classification. CoRR abs/1912.11642 (2019)
Coauthor Index
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