Search Results - "Ng, Chun Chet"
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On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering
Published in 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-01-2020)“…Visual Question Answering (VQA) methods have made incredible progress, but suffer from a failure to generalize. This is visible in the fact that they are…”
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Conference Proceeding -
2
Rethinking Long-Tailed Visual Recognition with Dynamic Probability Smoothing and Frequency Weighted Focusing
Published in 2023 IEEE International Conference on Image Processing (ICIP) (08-10-2023)“…Deep learning models trained on long-tailed (LT) datasets often exhibit bias towards head classes with high frequency. This paper highlights the limitations of…”
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Conference Proceeding -
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ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text - RRC-ArT
Published in 2019 International Conference on Document Analysis and Recognition (ICDAR) (01-09-2019)“…This paper reports the ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text - RRC-ArT that consists of three major challenges: i) scene text detection,…”
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Conference Proceeding -
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When IC meets text: Towards a rich annotated integrated circuit text dataset
Published in Pattern recognition (01-03-2024)“…Automated Optical Inspection (AOI) is a process that uses cameras to autonomously scan printed circuit boards for quality control. Text is often printed on…”
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Journal Article -
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Text in the dark: Extremely low-light text image enhancement
Published in Signal processing. Image communication (01-01-2025)“…Extremely low-light text images pose significant challenges for scene text detection. Existing methods enhance these images using low-light image enhancement…”
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Journal Article -
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Extremely Low-Light Image Enhancement with Scene Text Restoration
Published in 2022 26th International Conference on Pattern Recognition (ICPR) (21-08-2022)“…Deep learning-based methods have made impressive progress in enhancing extremely low-light images - the image quality of the reconstructed images has generally…”
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Conference Proceeding -
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ICDAR 2019 Competition on Large-Scale Street View Text with Partial Labeling - RRC-LSVT
Published in 2019 International Conference on Document Analysis and Recognition (ICDAR) (01-09-2019)“…Robust text reading from street view images provides valuable information for various applications. Performance improvement of existing methods in such a…”
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Conference Proceeding -
8
Text in the Dark: Extremely Low-Light Text Image Enhancement
Published 22-04-2024“…Extremely low-light text images are common in natural scenes, making scene text detection and recognition challenging. One solution is to enhance these images…”
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Journal Article -
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Extremely Low-light Image Enhancement with Scene Text Restoration
Published 01-04-2022“…Deep learning-based methods have made impressive progress in enhancing extremely low-light images - the image quality of the reconstructed images has generally…”
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Journal Article -
10
ICDAR 2021 Competition on Integrated Circuit Text Spotting and Aesthetic Assessment
Published 12-07-2021“…International Conference on Document Analysis and Recognition (ICDAR) 2021 With hundreds of thousands of electronic chip components are being manufactured…”
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Journal Article -
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On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering
Published 24-02-2020“…Visual Question Answering (VQA) methods have made incredible progress, but suffer from a failure to generalize. This is visible in the fact that they are…”
Get full text
Journal Article -
12
ICDAR 2019 Competition on Large-scale Street View Text with Partial Labeling -- RRC-LSVT
Published 17-09-2019“…Robust text reading from street view images provides valuable information for various applications. Performance improvement of existing methods in such a…”
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Journal Article -
13
ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT)
Published 16-09-2019“…This paper reports the ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT) that consists of three major challenges: i) scene text detection,…”
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Journal Article