基本信息
浏览量:311
职业迁徙
个人简介
My research interests include some sub-fields of Computer Vision and Machine Learning:
Deep Convolutional Neural Networks (DCNN) is a type of feed-forward artificial neural network where the individual neurons are tiled in such a way that they respond to overlapping regions in the visual field, which is widely used in image and video related tasks.
Fine-Grained Image Analysis (FGIA) is a hot topic in computer vision and pattern recognition. The goals of FGIA are localizing the fine-grained objects, recognizing the objects’ subordinate categories, retrieving the fine-grained objects and so on.
Deep Convolutional Neural Networks (DCNN) is a type of feed-forward artificial neural network where the individual neurons are tiled in such a way that they respond to overlapping regions in the visual field, which is widely used in image and video related tasks.
Fine-Grained Image Analysis (FGIA) is a hot topic in computer vision and pattern recognition. The goals of FGIA are localizing the fine-grained objects, recognizing the objects’ subordinate categories, retrieving the fine-grained objects and so on.
研究兴趣
论文共 83 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
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCEno. 1 (2024): 117-133
IEEE transactions on pattern analysis and machine intelligenceno. 4 (2024): 2091-2103
CVPR 2024 (2024)
引用0浏览0引用
0
0
Synthesis lectures on computer visionpp.141-165, (2023)
引用0浏览0引用
0
0
Synthesis lectures on computer visionpp.33-140, (2023)
引用0浏览0引用
0
0
IEEE transactions on pattern analysis and machine intelligenceno. 11 (2023): 13904-13920
IEEE TRANSACTIONS ON MULTIMEDIA (2023): 9147-9160
Visual Intelligenceno. 1 (2023): 1-12
MM '23: Proceedings of the 31st ACM International Conference on Multimedia (2023): 9656-9659
引用0浏览0EI引用
0
0
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