250 citations · 1.1k across the 23 of their papers we have counts for
23 papers
PP-FormulaNet: Bridging Accuracy and Efficiency in Advanced Formula Recognition
Hongen Liu, Cheng Cui, Yuning Du +2
Formula recognition is an important task in document intelligence. It involves converting mathematical expressions from document images into structured symbolic formats that comput…
PP-DocLayout: A Unified Document Layout Detection Model to Accelerate Large-Scale Data Construction
Ting Sun, Cheng Cui, Yuning Du +1
Document layout analysis is a critical preprocessing step in document intelligence, enabling the detection and localization of structural elements such as titles, text blocks, tabl…
Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction
Yuning Du, Yuyang Xue, Rohan Dharmakumar +1
Deep learning (DL) reconstruction particularly of MRI has led to improvements in image fidelity and reduction of acquisition time. In neuroimaging, DL methods can reconstruct high-…
Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement
Yuyang Xue, Yuning Du, Gianluca Carloni +3
Cine Magnetic Resonance Imaging (MRI) allows for understanding of the heart's function and condition in a non-invasive manner. Undersampling of the -space is employed to reduce…
Context Perception Parallel Decoder for Scene Text Recognition
Yongkun Du, Zhineng Chen, Caiyan Jia +4
Scene text recognition (STR) methods have struggled to attain high accuracy and fast inference speed. Autoregressive (AR)-based models implement the recognition in a character-by-c…
ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images
Wenwen Yu, Chengquan Zhang, Haoyu Cao +24
Structured text extraction is one of the most valuable and challenging application directions in the field of Document AI. However, the scenarios of past benchmarks are limited, an…