activity
20142023
most citedAID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification

2.2k citations · 10.6k across the 92 of their papers we have counts for

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Showing 2019Show all

17 papers · 1 filter

cs.CV2019★ 9 cited

ICDAR 2019 Robust Reading Challenge on Reading Chinese Text on Signboard

Xi Liu, Rui Zhang, Yongsheng Zhou +13

Chinese scene text reading is one of the most challenging problems in computer vision and has attracted great interest. Different from English text, Chinese has more than 6000 comm…

cs.CV2019★ 29 cited

TANet: Robust 3D Object Detection from Point Clouds with Triple Attention

Zhe Liu, Xin Zhao, Tengteng Huang +3

In this paper, we focus on exploring the robustness of the 3D object detection in point clouds, which has been rarely discussed in existing approaches. We observe two crucial pheno…

cs.CV2019★ 3 cited

Patch Aggregator for Scene Text Script Identification

Changxu Cheng, Qiuhui Huang, Xiang Bai +2

Script identification in the wild is of great importance in a multi-lingual robust-reading system. The scripts deriving from the same language family share a large set of character…

cs.CV2019★ 49 cited

Real-time Scene Text Detection with Differentiable Binarization

Minghui Liao, Zhaoyi Wan, Cong Yao +2

Recently, segmentation-based methods are quite popular in scene text detection, as the segmentation results can more accurately describe scene text of various shapes such as curve…

cs.CV2019★ 7 cited

AutoScale: Learning to Scale for Crowd Counting and Localization

Chenfeng Xu, Dingkang Liang, Yongchao Xu +4

Recent works on crowd counting mainly leverage CNNs to count by regressing density maps, and have achieved great progress. In the density map, each person is represented by a Gauss…

cs.CV2019★ 5 cited

All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting

Hao Wang, Pu Lu, Hui Zhang +6

Recently, end-to-end text spotting that aims to detect and recognize text from cluttered images simultaneously has received particularly growing interest in computer vision. Differ…