武原博檢視原始碼討論檢視歷史
 |
武原博，女，合肥工業大學計算機學院教授。
人物履歷
2014年獲得澳大利亞新南威爾士大學（The University of New South Wales）計算機科學與工程博士學位，先後在澳大利亞阿德萊德大學（The University of Adelaide）和昆士蘭大學（The University of Queensland）從事博士後研究工作。2018 年加入合肥工業大學計算機與信息學院（人工智能學院），聘為黃山青年學者、研究員。學
科研項目
1.多域視覺學習(U19A2073) 國家自然科學基金，區域創新發展聯合項目(重點支持項目) 2020-2023
2.從自然語言描述生成高質量的人物圖像-跨模態圖像生成算法的研究 國家自然科學基金(青年項目)，2021-2023
研究方向
獲獎情況
2021年 入選安徽省高層次人才項目。
2021年 第四屆 Eureka 國際創新與創業競賽創業培育三等獎（2021 Melbourne Australia）。
One of best papers for the 2018 IEEE International Conference on Data Mining (ICDM), Singapore, 2018.
Best research paper runner-up award for the 18th Pacific-Asia Conference on Knowledge Discovery and Data Ming (PAKDD), 2014, Tainan, Taiwan.
學術成果
主要論著
1. Lin Wu, Brian C. Lovell, Yang Wang. Deep Learning in Person Re-identification for Cyber-Physical Surveillance Systems. Deep Learning Applications for Cyber Security. Springer. ISBN 978-3-030-13056-5.
2. Lin Wu, Yang Wang. Detecting Image Forgeries using Geometric Cues. ComputerVision for Multimedia Applications: Methods and Solutions. (Chapter 12), Publishedin the United States of America by Information Science Reference (IGI Global), ISBN 978-1-60960-024-2.
期刊論文
11. Lin Wu, Yang Wang, Ling Shao, Meng Wang. 3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification. IEEE Transactions on Neural Networks and Learning Systems. 30(11): 3347-3359, 2019. 、
10. Lin Wu, Yang Wang, Hongzhi Yin, Meng Wang, Ling Shao. Few-Shot Deep Adversarial Learning for Video-based Person Re-identification. IEEE Transactions on Image Processing, 29(1):1233-1245, 2020.、
9. Lin Wu, Yang Wang, Junbin Gao, Meng Wang, Zheng-Jun Zha, Dacheng Tao. Deep Co-attention based Comparators for Relative Representation Learning in Person Re-identification. IEEE Transactions on Neural Networks and Learning Systems, 32(2):722-735,2021.
8. Lin Wu, Richang Hong, Yang Wang, Meng Wang. Cross-Entropy Adversarial View Adaptation for Person Re-identification. IEEE Transactions on Circuits and Systems for Video Technology,30 (7):2081-2020, 2020.
7. Lin Wu, Yang Wang, Ling Shao. Cycle-Consistent Deep Generative Hashing for Cross-Modal Retrieval. IEEE Transactions on Image Processing, 28(4):1602-1612, 2019.
6. Lin Wu, Yang Wang, Junbin Gao, Xue Li. Where-and-When to Look: Deep Siamese Attention Networks for Video-based Person Re-identification. IEEE Transactions on Multimedia , 21(6):1412-1424, 2019. 、
5. Lin Wu, Yang Wang*, Xue Li, Junbin Gao. Deep Attention-based Spatially Recursive Networks for Fine-Grained Visual Recognition. IEEE Transactions on Cybernetics, 49 (5): 1791-1802, 2019.
4. Deyin Liu, Yuanbo Lin Wu*, Xue Li, Lin Qi. Medi-Care AI: Predicting Medications From Billing Codes via Robust Recurrent Neural Networks. Neural Networks, 124:109-116, 2020.
3. Lin Wu, Yang Wang, Junbin Gao, Xue Li. Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification. Pattern Recognition, 73:275-288, 2018.
2. Lin Wu, Yang Wang, Xue Li, Junbin Gao. What-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification. Pattern Recognition, 76:727-738, 2018.
1. Chengyuan Zhang, Lin Wu*, Yang Wang. Crossing Generative Adversarial Networks for Cross-View Person Re-identification. Neurocomputing, 340(7): 259-269, 2019.[1]