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Incremental Concept Learning via Online Generative Memory Recall 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 7, 页码: 3206-3216
Authors:  Li, Huaiyu;  Dong, Weiming;  Hu, Bao-Gang
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Task analysis  Learning systems  Neural networks  Feature extraction  Visualization  Knowledge engineering  Training  Catastrophic forgetting  continual learning  generative adversarial networks (GANs)  
CSU-Net: A Context Spatial U-Net for Accurate Blood Vessel Segmentation in Fundus Images 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 4, 页码: 1128-1138
Authors:  Bo,Wang;  Shengpei,Wang;  Shuang,Qiu;  Wei,Wei;  Haibao,Wang;  Huiguang,He
Adobe PDF(6892Kb)  |  Favorite  |  View/Download:9/1  |  Submit date:2021/06/21
Fundus images  blood vessel segmentation  CSU-Net  feature fusion  structure loss  
Learning to assess visual aesthetics of food images 期刊论文
COMPUTATIONAL VISUAL MEDIA, 2021, 卷号: 7, 期号: 1, 页码: 139-152
Authors:  Sheng, Kekai;  Dong, Weiming;  Huang, Haibin;  Chai, Menglei;  Zhang, Yong;  Ma, Chongyang;  Hu, Bao-Gang
Favorite  |  View/Download:13/0  |  Submit date:2021/06/15
image aesthetic assessment  food image analysis  dataset  regularization  
Contextual deconvolution network for semantic segmentation 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 101, 页码: 11
Authors:  Fu, Jun;  Liu, Jing;  Li, Yong;  Bao, Yongjun;  Yan, Weipeng;  Fang, Zhiwei;  Lu, Hanqing
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Semantic segmentation  Deconvolution network  Channel contextual module  Spatial contextual module  
Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation 会议论文
IEEE/CVF Conference on Computer Vision and Pattern Recognition, Long Beach, CA, USA, 2019-6
Authors:  Yong Zhang;  Baoyuan Wu;  Weiming Dong;  Zhifeng Li;  Wei Liu;  Bao-Gang Hu;  Qiang Ji
Favorite  |  View/Download:92/0  |  Submit date:2019/06/19
Dual Attention Network for Scene Segmentation 会议论文
IEEE International Conference on Computer Vision and Pattern Recognition, (CVPR2019), Long Beach, CA, USA, June 16-June 20, 2019
Authors:  Fu, Jun;  Liu, Jing;  Tian, Haijie;  Li, Yong;  Bao, Yongjun;  Fang, Zhiwei;  Lu, Hanqing
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LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning 会议论文
PMLR, Long Beach, California,, 2019-6
Authors:  Li, Huaiyu;  Dong, Weiming;  Mei, Xing;  Ma, Chongyang;  Huang, Feiyue;  Hu, Baogang
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LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning 会议论文
International Conference on Machine Learning, Long Beach, CA, USA, 2019-6
Authors:  Huaiyu Li;  Weiming Dong;  Xing Mei;  Chongyang Ma;  Feiyue Huang;  Bao-Gang Hu
Favorite  |  View/Download:109/0  |  Submit date:2019/06/19
Semi-Supervised Deep Neural Network for Joint Intensity Estimation of Multiple Facial Action Units 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 150743-150756
Authors:  Zhang, Yong;  Fan, Yanbo;  Dong, Weiming;  Hu, Bao-Gang;  Ji, Qiang
Favorite  |  View/Download:63/0  |  Submit date:2020/03/30
Gold  Estimation  Hidden Markov models  Training  Face  Task analysis  Neural networks  Facial action units  intensity estimation  deep learning  weakly supervised learning  
Gourmet Photography Dataset for Aesthetic Assessment of Food Images 会议论文
, Tokyo, Japan, 2018-12-4 2018-12-7
Authors:  Kekai, Sheng;  Weiming, Dong;  Haibin, Huang;  Chongyang, Ma;  Bao-Gang, Hu
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