40 citations · 69 across the 4 of their papers we have counts for
7 papers · 1 filter
Pushing the Performance Limit of Scene Text Recognizer without Human Annotation
Caiyuan Zheng, Hui Li, Seon-Min Rhee +3
Scene text recognition (STR) attracts much attention over the years because of its wide application. Most methods train STR model in a fully supervised manner which requires large…
Give Me Something to Eat: Referring Expression Comprehension with Commonsense Knowledge
Peng Wang, Dongyang Liu, Hui Li +1
Conventional referring expression comprehension (REF) assumes people to query something from an image by describing its visual appearance and spatial location, but in practice, we…
A Holistic Representation Guided Attention Network for Scene Text Recognition
Lu Yang, Fan Dang, Peng Wang +3
Reading irregular scene text of arbitrary shape in natural images is still a challenging problem, despite the progress made recently. Many existing approaches incorporate sophistic…
Visual Question Answering as Reading Comprehension
Hui Li, Peng Wang, Chunhua Shen +1
Visual question answering (VQA) demands simultaneous comprehension of both the image visual content and natural language questions. In some cases, the reasoning needs the help of c…
Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition
Hui Li, Peng Wang, Chunhua Shen +1
Recognizing irregular text in natural scene images is challenging due to the large variance in text appearance, such as curvature, orientation and distortion. Most existing approac…
Towards End-to-End Car License Plates Detection and Recognition with Deep Neural Networks
Hui Li, Peng Wang, Chunhua Shen
In this work, we tackle the problem of car license plate detection and recognition in natural scene images. We propose a unified deep neural network which can localize license plat…