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cs.CV2026

ICPR 2026 Competition on Low-Resolution License Plate Recognition

Rayson Laroca, Valfride Nascimento, Donggun Kim +19

Low-Resolution License Plate Recognition (LRLPR) remains a challenging problem in real-world surveillance scenarios, where long capture distances, compression artifacts, and advers…

cs.CV2025

Complex Mathematical Expression Recognition: Benchmark, Large-Scale Dataset and Strong Baseline

Weikang Bai, Yongkun Du, Yuchen Su +2

Mathematical Expression Recognition (MER) has made significant progress in recognizing simple expressions, but the robust recognition of complex mathematical expressions with many…

cs.CV2025

UniRec-0.1B: Unified Text and Formula Recognition with 0.1B Parameters

Yongkun Du, Zhineng Chen, Yazhen Xie +6

Text and formulas constitute the core informational components of many documents. Accurately and efficiently recognizing both is crucial for developing robust and generalizable doc…

cs.CV2025

LRANet++: Low-Rank Approximation Network for Accurate and Efficient Text Spotting

Yuchen Su, Zhineng Chen, Yongkun Du +3

End-to-end text spotting aims to jointly optimize text detection and recognition within a unified framework. Despite significant progress, designing an accurate and efficient end-t…

cs.CV2024

Explicit Relational Reasoning Network for Scene Text Detection

Yuchen Su, Zhineng Chen, Yongkun Du +4

Connected component (CC) is a proper text shape representation that aligns with human reading intuition. However, CC-based text detection methods have recently faced a developmenta…

cs.CV2024

Instruction-Guided Scene Text Recognition

Yongkun Du, Zhineng Chen, Yuchen Su +2

Multi-modal models have shown appealing performance in visual recognition tasks, as free-form text-guided training evokes the ability to understand fine-grained visual content. How…