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Yongpan Wang - IEEE Xplore Author Profile

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Open-source software (OSS) has been extensively employed to expedite software development, inevitably exposing downstream software to the peril of potential vulnerabilities. Precisely identifying the version of OSS not only facilitates the detection of vulnerabilities associated with it but also enables timely alerts upon the release of 1-day vulnerabilities. However, current methods for identifyi...Show More
Binary function embedding models are applicable to various downstream tasks within IoT device software systems and have demonstrated advantages in numerous binary analysis tasks, such as vulnerability (homologous) function search and compilation optimization option identification. However, current binary function embedding methods either learn embedding based on code sequence, which lack the progr...Show More
With the continuous evolution of software development, the increasing reuse and complexity of programs have become prominent. Detecting and analyzing reuse relationships in binary programs are crucial for software maintenance, performance optimization, and security enhancement. However, existing methods only identify whether binaries have reuse relationships without distinguishing the source binar...Show More
Text recognition technology based on deep learning has achieved great success in recent years. However, these recognition models have poor robustness under the influence of strong light noise. The existing solution to this problem leverages preprocessing methods to remove uneven lighting, which shows just passable effects on noise reduction for strong light. In this paper, we propose a text image ...Show More
This paper tackles the problem of table structure parsing (TSP) from images in the wild. In contrast to existing studies that mainly focus on parsing well-aligned tabular images with simple layouts from scanned PDF documents, we aim to establish a practical table structure parsing system for real-world scenarios where tabular input images are taken or scanned with severe deformation, bending or oc...Show More
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 might still fall short when handling text instances of extreme aspect ratios and varying scales. To tackle such difficulties, we propose in this paper a new algorithm for scene text detection, which puts forward a set of ...Show More
Text recognition is a popular research subject with many associated challenges. Despite the considerable progress made in recent years, the text recognition task itself is still constrained to solve the problem of reading cropped line text images and serves as a subtask of optical character recognition (OCR) systems. As a result, the final text recognition result is limited by the performance of t...Show More
There are large number of people with color blindness who have the practical inconveniences in their life and work. The problems they encountered lie in their ignorance of unrecognized color in their own field of vision. Although there are many visual assistance tools provided, most of them work only if the users actually know their trouble recognizing objects, and fixed filters cannot identify sh...Show More
In this paper, we propose an end-to-end trainable framework for restoring historical documents content that follows the correct reading order. In this framework, two branches named character branch and layout branch are added behind the feature extraction network. The character branch localizes individual characters in a document image and recognizes them simultaneously. Then we adopt a post-proce...Show More
Scene text removal has attracted increasing research interests owing to its valuable applications in privacy protection, camera-based virtual reality translation, and image editing. However, existing approaches, which fall short on real applications, are mainly because they were evaluated on synthetic or unrepresentative datasets. To fill this gap and facilitate this research direction, this artic...Show More
Handwritten text and scene text suffer from various shapes and distorted patterns. Thus training a robust recognition model requires a large amount of data to cover diversity as much as possible. In contrast to data collection and annotation, data augmentation is a low cost way. In this paper, we propose a new method for text image augmentation. Different from traditional augmentation methods such...Show More
Scene text detection is an important step in the scene text reading system. The main challenges lie in significantly varied sizes and aspect ratios, arbitrary orientations, and shapes. Driven by the recent progress in deep learning, impressive performances have been achieved for multi-oriented text detection. Yet, the performance drops dramatically in detecting the curved texts due to the limited ...Show More
Electronic commerce has infiltrated every aspect of our daily lives, which offers great convenience for shopping, advertising, etc. Text in the web images is responsible to convey essential information for consumers. Algorithms that read text in these web images can facilitate applications of various types, such as goods surveillance, products classification, and intelligent retrieval or recommend...Show More