Mengjun Cheng — accepted AI-conference papers

2024

Textual Grounding for Open-vocabulary Visual Information Extraction in Layout-diversified Documents

Mengjun Cheng, Chengquan Zhang, Chang Liu*, Yuke Li, Bohan Li, Kun Yao +3

ECCV 2024poster

"Current methodologies have achieved notable success in the closed-set visual information extraction (VIE) task, while the exploration into open-vocabulary settings is comparatively underdeveloped, which is practical for individual users in terms of inferring information across documents of diverse…

Cited by 1 Source ↗PDF ↗Scholar ↗

2022

ViSTA: Vision and Scene Text Aggregation for Cross-Modal Retrieval

Mengjun Cheng, Yipeng Sun, Longchao Wang, Xiongwei Zhu, Kun Yao, Jie Chen +5

CVPR 2022poster

Visual appearance is considered to be the most important cue to understand images for cross-modal retrieval, while sometimes the scene text appearing in images can provide valuable information to understand the visual semantics. Most of existing cross-modal retrieval approaches ignore the usage of s…

Cited by 79 PDF ↗Scholar ↗