基本信息
浏览量:80
职业迁徙
个人简介
My areas of interest are machine learning and computer vision. To be more specific, I worked on deep convolutional neural networks (CNNs) for generative modeling, domain adaptation, face and gesture recognition and object recognition for low quality and noisy data. I have also worked in diverse areas such as dimensionality reduction, deep discriminative learning, curriculum learning, shared representation learning, information fusion, multimodal deep learning and deep metric learning.
研究兴趣
论文共 36 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
PROCEEDINGS OF 7TH JOINT INTERNATIONAL CONFERENCE ON DATA SCIENCE AND MANAGEMENT OF DATA, CODS-COMAD 2024pp.10-17, (2024)
3RD ACM INTERNATIONAL CONFERENCE ON AI IN FINANCE, ICAIF 2022pp.148-155, (2022)
CNIOTpp.1-7, (2021)
2021 16TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION (FG 2021)pp.1-8, (2021)
user-614d54b3e55422cecdb064d3(2020)
引用5浏览0引用
5
0
Domain Adaptation for Visual Understandingpp.1-15, (2020)
IEEE Transactions on Biometrics, Behavior, and Identity Scienceno. 3 (2020): 245-256
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn