activity
20182021
most citedRobust Sub-Meter Level Indoor Localization With a Single WiFi Access Point-Regression Versus Classification

47 citations · 160 across the 18 of their papers we have counts for

collaborators

22 papers

cs.CV202127 cited

Multi-Task and Multi-Modal Learning for RGB Dynamic Gesture Recognition

Dinghao Fan, Hengjie Lu, Shugong Xu +1

Gesture recognition is getting more and more popular due to various application possibilities in human-machine interaction. Existing multi-modal gesture recognition systems take mu…

cs.CV2021

IFR: Iterative Fusion Based Recognizer For Low Quality Scene Text Recognition

Zhiwei Jia, Shugong Xu, Shiyi Mu +3

Although recent works based on deep learning have made progress in improving recognition accuracy on scene text recognition, how to handle low-quality text images in end-to-end dee…

cs.CV202119 cited

SGTBN: Generating Dense Depth Maps from Single-Line LiDAR

Hengjie Lu, Shugong Xu, Shan Cao

Depth completion aims to generate a dense depth map from the sparse depth map and aligned RGB image. However, current depth completion methods use extremely expensive 64-line LiDAR…

cs.CV202115 cited

Arbitrary-Shaped Text Detection withAdaptive Text Region Representation

Xiufeng Jiang, Shugong Xu, Shunqing Zhang +1

Text detection/localization, as an important task in computer vision, has witnessed substantialadvancements in methodology and performance with convolutional neural networks. Howev…

cs.CV20213 cited

Tracking Based Semi-Automatic Annotation for Scene Text Videos

Jiajun Zhu, Xiufeng Jiang, Zhiwei Jia +2

Recently, video scene text detection has received increasing attention due to its comprehensive applications. However, the lack of annotated scene text video datasets has become on…

cs.CV202118 cited

A Dataset and Benchmark Towards Multi-Modal Face Anti-Spoofing Under Surveillance Scenarios

Xudong Chen, Shugong Xu, Qiaobin Ji +1

Face Anti-spoofing (FAS) is a challenging problem due to complex serving scenarios and diverse face presentation attack patterns. Especially when captured images are low-resolution…