activity
20242026
most citedICAL: Implicit Character-Aided Learning for Enhanced Handwritten Mathematical Expression Recognition

18 citations · 20 across the 7 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2025

Clair Obscur: an Illumination-Aware Method for Real-World Image Vectorization

Xingyue Lin, Shuai Peng, Xiangyu Xie +3

Image vectorization aims to convert raster images into editable, scalable vector representations while preserving visual fidelity. Existing vectorization methods struggle to repres…

cs.CV2025

Uni-MuMER: Unified Multi-Task Fine-Tuning of Vision-Language Model for Handwritten Mathematical Expression Recognition

Yu Li, Jin Jiang, Jianhua Zhu +4

Handwritten Mathematical Expression Recognition (HMER) remains a persistent challenge in Optical Character Recognition (OCR) due to the inherent freedom of symbol layouts and varia…

cs.CV2024

SketchRef: a Multi-Task Evaluation Benchmark for Sketch Synthesis

Xingyue Lin, Xingjian Hu, Shuai Peng +2

Sketching is a powerful artistic technique for capturing essential visual information about real-world objects and has increasingly attracted attention in image synthesis research.…

cs.CV2024★ 2 cited

TAMER: Tree-Aware Transformer for Handwritten Mathematical Expression Recognition

Jianhua Zhu, Wenqi Zhao, Yu Li +2

Handwritten Mathematical Expression Recognition (HMER) has extensive applications in automated grading and office automation. However, existing sequence-based decoding methods, whi…

cs.CV2024★ 18 cited

ICAL: Implicit Character-Aided Learning for Enhanced Handwritten Mathematical Expression Recognition

Jianhua Zhu, Liangcai Gao, Wenqi Zhao

Significant progress has been made in the field of handwritten mathematical expression recognition, while existing encoder-decoder methods are usually difficult to model global inf…