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Yingbin Zheng
Researcher at Chinese Academy of Sciences
Publications - 68
Citations - 2339
Yingbin Zheng is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Computer science & Feature extraction. The author has an hindex of 15, co-authored 62 publications receiving 1689 citations. Previous affiliations of Yingbin Zheng include East China Normal University & Fudan University.
Papers
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Journal ArticleDOI
Arbitrary-Oriented Scene Text Detection via Rotation Proposals
TL;DR: The Rotation Region Proposal Networks are designed to generate inclined proposals with text orientation angle information that are adapted for bounding box regression to make the proposals more accurately fit into the text region in terms of the orientation.
Journal ArticleDOI
Arbitrary-Oriented Scene Text Detection via Rotation Proposals
TL;DR: RRPN as mentioned in this paper proposes a rotation region proposal network to generate inclined text proposals with text orientation angle information, which is then adapted for bounding box regression to make the proposals more accurately fit into the text region in terms of the orientation.
Proceedings ArticleDOI
Evolving boxes for fast vehicle detection
TL;DR: It is shown intriguingly that by applying different feature fusion techniques, the initial boxes can be refined for both localization and recognition.
Proceedings Article
Understanding and predicting interestingness of videos
TL;DR: A pilot study on the understanding of human perception of video interestingness, and demonstrates a simple computational method to identify more interesting videos.
Proceedings ArticleDOI
UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring
Siwei Lyu,Ming-Ching Chang,Dawei Du,Longyin Wen,Honggang Qi,Yuezun Li,Yi Wei,Lipeng Ke,Tao Hu,Marco Del Coco,Pierluigi Carcagnì,Dmitriy Anisimov,Erik Bochinski,Fabio Galasso,Filiz Bunyak,Guang Han,Hao Ye,Hong Wang,Kannappan Palaniappan,Koray Ozcan,Li Wang,Liang Wang,Martin Lauer,Nattachai Watcharapinchai,Nenghui Song,Noor M. Al-Shakarji,Shuo Wang,Sikandar Amin,Sitapa Rujikietgumjorn,Tatiana Khanova,Thomas Sikora,Tino Kutschbach,Volker Eiselein,Wei Tian,Xiangyang Xue,Xiaoyi Yu,Yao Lu,Yingbin Zheng,Yongzhen Huang,Yuqi Zhang +39 more
TL;DR: The AVSS2017 Challenge on Advanced Traffic Monitoring, in conjunction with the International Workshop on Traffic and Street Surveillance for Safety and Security (IWT4S), to evaluate the state-of-the-art object detection and multi-object tracking algorithms in the relevance of traffic surveillance.