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Wenqing Cheng

6 accepted papers

2024

OmniParser: A Unified Framework for Text Spotting Key Information Extraction and Table Recognition

CVPR 2024poster

Recently visually-situated text parsing (VsTP) has experienced notable advancements driven by the increasing demand for automated document understanding and the emergence of Generative Large Language Models (LLMs) capable of processing document-based questions. Various methods have been proposed to…

2023

Modeling Entities As Semantic Points for Visual Information Extraction in the Wild

CVPR 2023poster

Recently, Visual Information Extraction (VIE) has been becoming increasingly important in both academia and industry, due to the wide range of real-world applications. Previously, numerous works have been proposed to tackle this problem. However, the benchmarks used to assess these methods are relat…

2022

Musicyolo: A Sight-Singing Onset/Offset Detection Framework Based on Object Detection Instead of Spectrum Frames

ICASSP 2022accepted

In this paper, we propose MusicYOLO based on object detection to detect the onset and offset in singing for the first time. The onset of the vocal is not as stable and clear as that of musical instruments, which makes the frame-based onset/offset detection methods often not work well. Compared with…

Cited by 0SourceScholar
2022

Vision-Language Pre-Training for Boosting Scene Text Detectors

CVPR 2022poster

Recently, vision-language joint representation learning has proven to be highly effective in various scenarios. In this paper, we specifically adapt vision-language joint learning for scene text detection, a task that intrinsically involves cross-modal interaction between the two modalities: vision…

Cited by 37PDFcodeScholar
2021

MOST: A Multi-Oriented Scene Text Detector With Localization Refinement

CVPR 2021poster

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 difficult…

Cited by 117PDFScholar