31 citations · 69 across the 5 of their papers we have counts for
5 papers
Toward Zero-shot Character Recognition: A Gold Standard Dataset with Radical-level Annotations
Xiaolei Diao, Daqian Shi, Jian Li +5
Optical character recognition (OCR) methods have been applied to diverse tasks, e.g., street view text recognition and document analysis. Recently, zero-shot OCR has piqued the int…
A semantics-driven methodology for high-quality image annotation
Fausto Giunchiglia, Mayukh Bagchi, Xiaolei Diao
Recent work in Machine Learning and Computer Vision has highlighted the presence of various types of systematic flaws inside ground truth object recognition benchmark datasets. Our…
Incremental Image Labeling via Iterative Refinement
Fausto Giunchiglia, Xiaolei Diao, Mayukh Bagchi
Data quality is critical for multimedia tasks, while various types of systematic flaws are found in image benchmark datasets, as discussed in recent work. In particular, the existe…
CharFormer: A Glyph Fusion based Attentive Framework for High-precision Character Image Denoising
Daqian Shi, Xiaolei Diao, Lida Shi +4
Degraded images commonly exist in the general sources of character images, leading to unsatisfactory character recognition results. Existing methods have dedicated efforts to resto…
RCRN: Real-world Character Image Restoration Network via Skeleton Extraction
Daqian Shi, Xiaolei Diao, Hao Tang +3
Constructing high-quality character image datasets is challenging because real-world images are often affected by image degradation. There are limitations when applying current ima…