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许文嘉
- 电子邮箱：32cfbb9c25366d234082c8c71455681e81e3aa0938c446797abed0ed526f3de3d5b04b42f1dac0d5c7e7edfe45035144f7352cd56a1a39a80644eb607fe040e6f475c6d4dca4bd8aa1984167fca8ccd72808f851d79466a36e64941444b87ff6d8f23b7310e4615a84f33132b3480834f9b5e17fbfcc60c18cdbcc5343c87d85
- 所在单位：信息与通信工程学院
- 学历：研究生毕业
- 办公地点：科研楼510
- 性别：女
- 学位：博士学位
- 职称：副教授
- 在职信息：在职
- 毕业院校：中国科学院大学
- 博士生导师
- 硕士生导师
- 所属院系：信息与通信工程学院
访问量：
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[1]Attribute Prototype Network for Any-Shot Learning:International Journal of Computer Vision (IJCV),2022
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[2]On Distinctive Image Captioning via Comparing and Reweighting.[J]:IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2023,45(2)
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[3]Attribute Prototype Network for Zero-Shot Learning.[C]:Conference on Neural Information Processing Systems (NeurIPS),2020
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[4]VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning:The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR),2022:(CCF A类会议）
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[5]Where is the model looking at?–Concentrate and explain the network attention.[J]:IEEE Journal of Selected Topics in Signal Processing (JSTSP),2020
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[6]Group-based Distinctive Image Captioning with Memory Attention.[C]:ACM Multimedia (ACM MM),2021
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[7]Compare and Reweight: Distinctive Image Captioning Using Similar Images Sets.[J].European Conference on Computer Vision (ECCV),2020
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[8]Human Attention in Fine-grained Classification.[C]:The British Machine Vision Conference (BMVC),2021
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[9]ASTRAL: adversarial trained LSTM-CNN for named entity recognition.[J]:Knowledge-Based Systems,2020
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[10]SRQA: Synthetic Reader for Factoid Question Answering.[J]:Knowledge-Based Systems,2020
