350 citations · 868 across the 59 of their papers we have counts for
13 papers · 1 filter
TRIG: Transformer-Based Text Recognizer with Initial Embedding Guidance
Yue Tao, Zhiwei Jia, Runze Ma +1
Scene text recognition (STR) is an important bridge between images and text, attracting abundant research attention. While convolutional neural networks (CNNS) have achieved remark…
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…
Deep Image Matting with Flexible Guidance Input
Hang Cheng, Shugong Xu, Xiufeng Jiang +1
Image matting is an important computer vision problem. Many existing matting methods require a hand-made trimap to provide auxiliary information, which is very expensive and limits…
HENet: Forcing a Network to Think More for Font Recognition
Jingchao Chen, Shiyi Mu, Shugong Xu +1
Although lots of progress were made in Text Recognition/OCR in recent years, the task of font recognition is remaining challenging. The main challenge lies in the subtle difference…
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…
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…
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…
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…
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…
SIRI: Spatial Relation Induced Network For Spatial Description Resolution
Peiyao Wang, Weixin Luo, Yanyu Xu +4
Spatial Description Resolution, as a language-guided localization task, is proposed for target location in a panoramic street view, given corresponding language descriptions. Expli…
Finding Action Tubes with a Sparse-to-Dense Framework
Yuxi Li, Weiyao Lin, Tao Wang +5
The task of spatial-temporal action detection has attracted increasing attention among researchers. Existing dominant methods solve this problem by relying on short-term informatio…
CFAD: Coarse-to-Fine Action Detector for Spatiotemporal Action Localization
Yuxi Li, Weiyao Lin, John See +4
Most current pipelines for spatio-temporal action localization connect frame-wise or clip-wise detection results to generate action proposals, where only local information is explo…
How many labeled license plates are needed?
Changhao Wu, Shugong Xu, Guocong Song +1
Training a good deep learning model often requires a lot of annotated data. As a large amount of labeled data is typically difficult to collect and even more difficult to annotate,…