942 citations · 1.6k across the 22 of their papers we have counts for
23 papers
Partial Scene Text Retrieval
Hao Wang, Minghui Liao, Zhouyi Xie +2
The task of partial scene text retrieval involves localizing and searching for text instances that are the same or similar to a given query text from an image gallery. However, exi…
PDF-WuKong: A Large Multimodal Model for Efficient Long PDF Reading with End-to-End Sparse Sampling
Xudong Xie, Hao Yan, Liang Yin +6
Multimodal document understanding is a challenging task to process and comprehend large amounts of textual and visual information. Recent advances in Large Language Models (LLMs) h…
Sequential Visual and Semantic Consistency for Semi-supervised Text Recognition
Mingkun Yang, Biao Yang, Minghui Liao +2
Scene text recognition (STR) is a challenging task that requires large-scale annotated data for training. However, collecting and labeling real text images is expensive and time-co…
Class-Aware Mask-Guided Feature Refinement for Scene Text Recognition
Mingkun Yang, Biao Yang, Minghui Liao +2
Scene text recognition is a rapidly developing field that faces numerous challenges due to the complexity and diversity of scene text, including complex backgrounds, diverse fonts,…
Self-distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach
Ziyin Zhang, Ning Lu, Minghui Liao +4
Text recognition methods are gaining rapid development. Some advanced techniques, e.g., powerful modules, language models, and un- and semi-supervised learning schemes, consecutive…
Reading and Writing: Discriminative and Generative Modeling for Self-Supervised Text Recognition
Mingkun Yang, Minghui Liao, Pu Lu +5
Existing text recognition methods usually need large-scale training data. Most of them rely on synthetic training data due to the lack of annotated real images. However, there is a…
Comprehensive Benchmark Datasets for Amharic Scene Text Detection and Recognition
Wondimu Dikubab, Dingkang Liang, Minghui Liao +1
Ethiopic/Amharic script is one of the oldest African writing systems, which serves at least 23 languages (e.g., Amharic, Tigrinya) in East Africa for more than 120 million people.…
Real-Time Scene Text Detection with Differentiable Binarization and Adaptive Scale Fusion
Minghui Liao, Zhisheng Zou, Zhaoyi Wan +2
Recently, segmentation-based scene text detection methods have drawn extensive attention in the scene text detection field, because of their superiority in detecting the text insta…
SGEN: Single-cell Sequencing Graph Self-supervised Embedding Network
Ziyi Liu, Minghui Liao, Fulin luo +1
Single-cell sequencing has a significant role to explore biological processes such as embryonic development, cancer evolution, and cell differentiation. These biological properties…
MOST: A Multi-Oriented Scene Text Detector with Localization Refinement
Minghang He, Minghui Liao, Zhibo Yang +6
Over the past few years, the field of scene text detection has progressed rapidly that modern text detectors are able to hunt text in various challenging scenarios. However, they m…
Scene Text Detection with Scribble Lines
Wenqing Zhang, Yang Qiu, Minghui Liao +3
Scene text detection, which is one of the most popular topics in both academia and industry, can achieve remarkable performance with sufficient training data. However, the annotati…
Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting
Minghui Liao, Guan Pang, Jing Huang +2
Recent end-to-end trainable methods for scene text spotting, integrating detection and recognition, showed much progress. However, most of the current arbitrary-shape scene text sp…
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…
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…
Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes
Minghui Liao, Pengyuan Lyu, Minghang He +3
Unifying text detection and text recognition in an end-to-end training fashion has become a new trend for reading text in the wild, as these two tasks are highly relevant and compl…
Symmetry-constrained Rectification Network for Scene Text Recognition
MingKun Yang, Yushuo Guan, Minghui Liao +5
Reading text in the wild is a very challenging task due to the diversity of text instances and the complexity of natural scenes. Recently, the community has paid increasing attenti…
SynthText3D: Synthesizing Scene Text Images from 3D Virtual Worlds
Minghui Liao, Boyu Song, Shangbang Long +3
With the development of deep neural networks, the demand for a significant amount of annotated training data becomes the performance bottlenecks in many fields of research and appl…
Scene Text Recognition from Two-Dimensional Perspective
Minghui Liao, Jian Zhang, Zhaoyi Wan +5
Inspired by speech recognition, recent state-of-the-art algorithms mostly consider scene text recognition as a sequence prediction problem. Though achieving excellent performance,…
Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes
Pengyuan Lyu, Minghui Liao, Cong Yao +2
Recently, models based on deep neural networks have dominated the fields of scene text detection and recognition. In this paper, we investigate the problem of scene text spotting,…
Rotation-Sensitive Regression for Oriented Scene Text Detection
Minghui Liao, Zhen Zhu, Baoguang Shi +2
Text in natural images is of arbitrary orientations, requiring detection in terms of oriented bounding boxes. Normally, a multi-oriented text detector often involves two key tasks:…
TextBoxes++: A Single-Shot Oriented Scene Text Detector
Minghui Liao, Baoguang Shi, Xiang Bai
Scene text detection is an important step of scene text recognition system and also a challenging problem. Different from general object detection, the main challenges of scene tex…
ICDAR2017 Competition on Reading Chinese Text in the Wild (RCTW-17)
Baoguang Shi, Cong Yao, Minghui Liao +6
Chinese is the most widely used language in the world. Algorithms that read Chinese text in natural images facilitate applications of various kinds. Despite the large potential val…
TextBoxes: A Fast Text Detector with a Single Deep Neural Network
Minghui Liao, Baoguang Shi, Xiang Bai +2
This paper presents an end-to-end trainable fast scene text detector, named TextBoxes, which detects scene text with both high accuracy and efficiency in a single network forward p…