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Baoguang Shi
Researcher at Huazhong University of Science and Technology
Publications - 10
Citations - 1625
Baoguang Shi is an academic researcher from Huazhong University of Science and Technology. The author has contributed to research in topics: Artificial neural network & Convolutional neural network. The author has an hindex of 9, co-authored 10 publications receiving 1340 citations.
Papers
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Proceedings ArticleDOI
Robust Scene Text Recognition with Automatic Rectification
TL;DR: This article proposed a robust text recognizer with automatic rectification (RARE), which consists of a Spatial Transformer Network (STN) and a Sequence Recognition Network (SRN).
Journal ArticleDOI
DeepPano: Deep Panoramic Representation for 3-D Shape Recognition
TL;DR: This letter introduces a robust representation of 3-D shapes, named DeepPano, learned with deep convolutional neural networks (CNN), where a row-wise max-pooling layer is inserted between the convolution and fully-connected layers, making the learned representations invariant to the rotation around a principle axis.
Proceedings ArticleDOI
Strokelets: A Learned Multi-scale Representation for Scene Text Recognition
TL;DR: This paper proposes a novel multi-scale representation for scene text recognition that consists of a set of detectable primitives, termed as strokelets, which capture the essential substructures of characters at different granularities.
Journal ArticleDOI
Script identification in the wild via discriminative convolutional neural network
Baoguang Shi,Xiang Bai,Cong Yao +2 more
TL;DR: The proposed DiscCNN achieves state-of-the-art performances on scene, video and document scripts as well, not requiring any preprocess like binarization, segmentation or hand-crafted features.
Proceedings ArticleDOI
Automatic script identification in the wild
TL;DR: In this paper, a large-scale dataset with a great quantity of natural images and 10 types of widely-used languages is constructed and released, and a deep learning based algorithm is proposed.