11 citations · 12 across the 6 of their papers we have counts for
6 papers
Learning to Look Again: Loss-Gap Supervision for Free-form Crop Routing in Vision-Language Models
Jinchang Zhu, Rong Fu, Yi Ding +3
Vision-language models (VLMs) fail many detail-centric questions for a concrete reason: the answer is visible in the image, yet lost after the image is compressed into a low-resolu…
Mema: Memory-Augmented Adapter for Enhanced Vision-Language Understanding
Ying Liu, Yudong Han, Kean Shi +1
Multimodal Large Language Models (MLLMs) have achieved remarkable performance by aligning pretrained visual representations with the linguistic knowledge embedded in Large Language…
MeDocVL: A Visual Language Model for Medical Document Understanding and Parsing
Wenjie Wang, Wei Wu, Ying Liu +10
Medical document OCR is challenging due to complex layouts, domain-specific terminology, and noisy annotations, while requiring strict field-level exact matching. Existing OCR syst…
Team PA-VCG's Solution for Competition on Understanding Chinese College Entrance Exam Papers in ICDAR'25
Wei Wu, Wenjie Wang, Yang Tan +6
This report presents Team PA-VGG's solution for the ICDAR'25 Competition on Understanding Chinese College Entrance Exam Papers. In addition to leveraging high-resolution image proc…
Fine-Grained Open-Vocabulary Object Detection with Fined-Grained Prompts: Task, Dataset and Benchmark
Ying Liu, Yijing Hua, Haojiang Chai +2
Open-vocabulary detectors are proposed to locate and recognize objects in novel classes. However, variations in vision-aware language vocabulary data used for open-vocabulary learn…
Visual-Semantic Transformer for Scene Text Recognition
Xin Tang, Yongquan Lai, Ying Liu +2
Modeling semantic information is helpful for scene text recognition. In this work, we propose to model semantic and visual information jointly with a Visual-Semantic Transformer (V…