H
Hong Wang
Researcher at Chinese Academy of Sciences
Publications - 8
Citations - 1579
Hong Wang is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Deep learning & Minimum bounding box. The author has an hindex of 6, co-authored 8 publications receiving 1106 citations.
Papers
More filters
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 ArticleDOI
Evolving Boxes for Fast Vehicle Detection
TL;DR: In this article, a novel deep learning framework, namely Evolving Boxes, is developed that proposes and refines the object boxes under different feature representations, which achieves a significant improvement over the state-of-the-art Faster RCNN by 9.5% mAP.
Proceedings ArticleDOI
Face Recognition via Active Annotation and Learning
TL;DR: An active annotation and learning framework for the face recognition task is introduced and a deep neural network is iteratively trained to choose the examples for further manual annotation.