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20082021
most citedA CNN Based Scene Chinese Text Recognition Algorithm With Synthetic Data Engine

16 citations · 40 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2021★ 5 cited

No-Reference Point Cloud Quality Assessment via Domain Adaptation

Qi Yang, Yipeng Liu, Siheng Chen +2

We present a novel no-reference quality assessment metric, the image transferred point cloud quality assessment (IT-PCQA), for 3D point clouds. For quality assessment, deep neural…

cs.CV2021★ 5 cited

Revisiting Classification Perspective on Scene Text Recognition

Hongxiang Cai, Jun Sun, Yichao Xiong

The prevalent perspectives of scene text recognition are from sequence to sequence (seq2seq) and segmentation. Nevertheless, the former is composed of many components which makes i…

eess.IV2020★ 12 cited

Inferring Point Cloud Quality via Graph Similarity

Qi Yang, Zhan Ma, Yiling Xu +2

We propose the GraphSIM -- an objective metric to accurately predict the subjective quality of point cloud with superimposed geometry and color impairments. Motivated by the facts…

eess.IV2019★ 1 cited

A Dual Camera System for High Spatiotemporal Resolution Video Acquisition

Ming Cheng, Zhan Ma, M. Salman Asif +4

This paper presents a dual camera system for high spatiotemporal resolution (HSTR) video acquisition, where one camera shoots a video with high spatial resolution and low frame rat…

cs.CV2016★ 1 cited

A Novel Scene Text Detection Algorithm Based On Convolutional Neural Network

Xiaohang Ren, Kai Chen, Jun Sun

Candidate text region extraction plays a critical role in convolutional neural network (CNN) based text detection from natural images. In this paper, we propose a CNN based scene t…

cs.CV2016★ 16 cited

A CNN Based Scene Chinese Text Recognition Algorithm With Synthetic Data Engine

Xiaohang Ren, Kai Chen, Jun Sun

Scene text recognition plays an important role in many computer vision applications. The small size of available public available scene text datasets is the main challenge when tra…