2.2k citations · 10.6k across the 92 of their papers we have counts for
93 papers
Semantic Graph Representation Learning for Handwritten Mathematical Expression Recognition
Zhuang Liu, Ye Yuan, Zhilong Ji +2
Handwritten mathematical expression recognition (HMER) has attracted extensive attention recently. However, current methods cannot explicitly study the interactions between differe…
SparseTrack: Multi-Object Tracking by Performing Scene Decomposition based on Pseudo-Depth
Zelin Liu, Xinggang Wang, Cheng Wang +2
Exploring robust and efficient association methods has always been an important issue in multiple-object tracking (MOT). Although existing tracking methods have achieved impressive…
Modeling Entities as Semantic Points for Visual Information Extraction in the Wild
Zhibo Yang, Rujiao Long, Pengfei Wang +5
Recently, Visual Information Extraction (VIE) has been becoming increasingly important in both the academia and industry, due to the wide range of real-world applications. Previous…
Searching a High-Performance Feature Extractor for Text Recognition Network
Hui Zhang, Quanming Yao, James T. Kwok +1
Feature extractor plays a critical role in text recognition (TR), but customizing its architecture is relatively less explored due to expensive manual tweaking. In this work, inspi…
Toward Understanding WordArt: Corner-Guided Transformer for Scene Text Recognition
Xudong Xie, Ling Fu, Zhifei Zhang +2
Artistic text recognition is an extremely challenging task with a wide range of applications. However, current scene text recognition methods mainly focus on irregular text while h…
Reading and Writing: Discriminative and Generative Modeling for Self-Supervised Text Recognition
Mingkun Yang, Minghui Liao, Pu Lu +5
Existing text recognition methods usually need large-scale training data. Most of them rely on synthetic training data due to the lack of annotated real images. However, there is a…