基本信息
浏览量:18
职业迁徙
个人简介
Recently, I specifically focus on
1) high-level vision: weakly-supervised object detection, unsupervised domain adaptation, robust object detection, adversarial attack and defense.
2) low-level vision: real-world image Super-Resolution (e.g., real-world SR benchmarks, single image real-world SR, unsupervised domain adaptation real-world SR, robust real-world SR).
3) text-to-image generation: controllable text-to-image/video generation.
1) high-level vision: weakly-supervised object detection, unsupervised domain adaptation, robust object detection, adversarial attack and defense.
2) low-level vision: real-world image Super-Resolution (e.g., real-world SR benchmarks, single image real-world SR, unsupervised domain adaptation real-world SR, robust real-world SR).
3) text-to-image generation: controllable text-to-image/video generation.
研究兴趣
论文共 56 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
Zheng Chen,Zongwei Wu, Eduard Zamfir,Kai Zhang,Yulun Zhang,Radu Timofte,Xiaokang Yang,Hongyuan Yu, Cheng Wan, Yuxin Hong, Zhijuan Huang,Yajun Zou,
arxiv(2024)
引用0浏览0引用
0
0
PATTERN RECOGNITION AND COMPUTER VISION, PRCV 2023, PT XII (2024): 278-289
IEEE Transactions on Geoscience and Remote Sensingno. 99 (2024): 1-1
PATTERN RECOGNITION AND COMPUTER VISION, PRCV 2023, PT II (2024): 54-65
CVPR 2023 (2023): 20301-20310
CoRR (2023)
引用0浏览0EI引用
0
0
CVPR 2023 (2023): 9729-9738
ICMEpp.2681-2686, (2023)
引用0浏览0EIWOS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