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Bao-Gang Hu
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Publications
- 2022
- [j54]Yifan Xu, Kekai Sheng, Weiming Dong, Baoyuan Wu, Changsheng Xu, Bao-Gang Hu:
Towards Corruption-Agnostic Robust Domain Adaptation. ACM Trans. Multim. Comput. Commun. Appl. 18(4): 99:1-99:16 (2022) - 2021
- [j53]Kekai Sheng, Weiming Dong, Haibin Huang, Menglei Chai, Yong Zhang, Chongyang Ma, Bao-Gang Hu:
Learning to assess visual aesthetics of food images. Comput. Vis. Media 7(1): 139-152 (2021) - [j52]Huai-Yu Li, Weiming Dong, Bao-Gang Hu:
Incremental Concept Learning via Online Generative Memory Recall. IEEE Trans. Neural Networks Learn. Syst. 32(7): 3206-3216 (2021) - [i20]Yifan Xu, Kekai Sheng, Weiming Dong, Baoyuan Wu, Changsheng Xu, Bao-Gang Hu:
Towards Corruption-Agnostic Robust Domain Adaptation. CoRR abs/2104.10376 (2021) - 2020
- [c71]Kekai Sheng, Weiming Dong, Menglei Chai, Guohui Wang, Peng Zhou, Feiyue Huang, Bao-Gang Hu, Rongrong Ji, Chongyang Ma:
Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning. AAAI 2020: 5709-5716 - 2019
- [j50]Yong Zhang, Yanbo Fan, Weiming Dong, Bao-Gang Hu, Qiang Ji:
Semi-Supervised Deep Neural Network for Joint Intensity Estimation of Multiple Facial Action Units. IEEE Access 7: 150743-150756 (2019) - [c70]Yong Zhang, Baoyuan Wu, Weiming Dong, Zhifeng Li, Wei Liu, Bao-Gang Hu, Qiang Ji:
Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation. CVPR 2019: 3457-3466 - [c69]Huai-Yu Li, Weiming Dong, Xing Mei, Chongyang Ma, Feiyue Huang, Bao-Gang Hu:
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning. ICML 2019: 3825-3834 - [i18]Bao-Gang Hu, Weiming Dong:
"Ge Shu Zhi Zhi": Towards Deep Understanding about Worlds. CoRR abs/1901.01834 (2019) - [i17]Huai-Yu Li, Weiming Dong, Xing Mei, Chongyang Ma, Feiyue Huang, Bao-Gang Hu:
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning. CoRR abs/1905.06331 (2019) - [i16]Huai-Yu Li, Weiming Dong, Bao-Gang Hu:
Incremental Concept Learning via Online Generative Memory Recall. CoRR abs/1907.02788 (2019) - [i15]Kekai Sheng, Weiming Dong, Menglei Chai, Guohui Wang, Peng Zhou, Feiyue Huang, Bao-Gang Hu, Rongrong Ji, Chongyang Ma:
Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning. CoRR abs/1911.11419 (2019) - 2018
- [c68]Yong Zhang, Weiming Dong, Bao-Gang Hu, Qiang Ji:
Weakly-Supervised Deep Convolutional Neural Network Learning for Facial Action Unit Intensity Estimation. CVPR 2018: 2314-2323 - [c67]Yong Zhang, Weiming Dong, Bao-Gang Hu, Qiang Ji:
Classifier Learning With Prior Probabilities for Facial Action Unit Recognition. CVPR 2018: 5108-5116 - [c66]Yong Zhang, Rui Zhao, Weiming Dong, Bao-Gang Hu, Qiang Ji:
Bilateral Ordinal Relevance Multi-Instance Regression for Facial Action Unit Intensity Estimation. CVPR 2018: 7034-7043 - [c65]Kekai Sheng, Weiming Dong, Chongyang Ma, Xing Mei, Feiyue Huang, Bao-Gang Hu:
Attention-based Multi-Patch Aggregation for Image Aesthetic Assessment. ACM Multimedia 2018: 879-886 - [c64]Kekai Sheng, Weiming Dong, Haibin Huang, Chongyang Ma, Bao-Gang Hu:
Gourmet photography dataset for aesthetic assessment of food images. SIGGRAPH Asia Technical Briefs 2018: 20:1-20:4 - 2017
- [j41]Kekai Sheng, Weiming Dong, Wei Li, Joseph Razik, Feiyue Huang, Bao-Gang Hu:
Centroid-aware local discriminative metric learning in speaker verification. Pattern Recognit. 72: 176-185 (2017) - [j40]Yong Zhang, Weiming Dong, Chongyang Ma, Xing Mei, Ke Li, Feiyue Huang, Bao-Gang Hu, Oliver Deussen:
Data-Driven Synthesis of Cartoon Faces Using Different Styles. IEEE Trans. Image Process. 26(1): 464-478 (2017) - [c61]Yingying Deng, Fan Tang, Weiming Dong, Hanxing Yao, Bao-Gang Hu:
Style-oriented representative paintings selection. SIGGRAPH ASIA (Posters) 2017: 12:1-12:2 - 2015
- [j37]Kekai Sheng, Weiming Dong, Yan Kong, Xing Mei, Ji-Lin Li, Chengjie Wang, Feiyue Huang, Bao-Gang Hu:
Evaluating the Quality of Face Alignment without Ground Truth. Comput. Graph. Forum 34(7): 213-223 (2015) - [c56]Xing Mei, Weiming Dong, Bao-Gang Hu, Siwei Lyu:
UniHIST: A unified framework for image restoration with marginal histogram constraints. CVPR 2015: 3753-3761 - 2014
- [c48]Yong Zhang, Weiming Dong, Oliver Deussen, Feiyue Huang, Ke Li, Bao-Gang Hu:
Data-driven face cartoon stylization. SIGGRAPH ASIA Technical Briefs 2014: 14:1-14:4 - [i7]Bao-Gang Hu, Weiming Dong:
A study on cost behaviors of binary classification measures in class-imbalanced problems. CoRR abs/1403.7100 (2014)
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