activity
20242026
most citedUniTabNet: Bridging Vision and Language Models for Enhanced Table Structure Recognition

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

YARD: Y-Architecture Register Decoding for Efficient Hallucination Mitigation in Large Vision-Language Models

Ting Chen, Geng Li, Guohao Chen +5

Contrastive decoding (CD) seeks to mitigate hallucinations in Large Vision-Language Models (LVLMs) by contrasting the output distributions of a standard model and a visually degrad…

eess.AS2025

EGGCodec: A Robust Neural Encodec Framework for EGG Reconstruction and F0 Extraction

Rui Feng, Yuang Chen, Yu Hu +2

This letter introduces EGGCodec, a robust neural Encodec framework engineered for electroglottography (EGG) signal reconstruction and F0 extraction. We propose a multi-scale freque…

cs.CV2025

Skeleton and Font Generation Network for Zero-shot Chinese Character Generation

Mobai Xue, Jun Du, Zhenrong Zhang +5

Automatic font generation remains a challenging research issue, primarily due to the vast number of Chinese characters, each with unique and intricate structures. Our investigation…

cs.CV2024★ 1 cited

UniTabNet: Bridging Vision and Language Models for Enhanced Table Structure Recognition

Zhenrong Zhang, Shuhang Liu, Pengfei Hu +4

In the digital era, table structure recognition technology is a critical tool for processing and analyzing large volumes of tabular data. Previous methods primarily focus on visual…

cs.CL2024

SRFUND: A Multi-Granularity Hierarchical Structure Reconstruction Benchmark in Form Understanding

Jiefeng Ma, Yan Wang, Chenyu Liu +6

Accurately identifying and organizing textual content is crucial for the automation of document processing in the field of form understanding. Existing datasets, such as FUNSD and…