activity
20202026
most citedQwen2.5-VL Technical Report

82 citations · 106 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2026

Enhancing Large Multimodal Models in Key Information Extraction via Scene-Aware Document Synthesis

Zhipeng Xu, Zulong Chen, Qing Liu +6

Key Information Extraction (KIE) converts visually rich documents into structured data, but practical deployment remains challenging: strong performance often relies on costly on-s…

cs.CL2026

CC-OCR V2: Fine-Grained Attribution of LMM Failures in Real-World Visual Document Understanding

Chunyi Peng, Zhipeng Xu, Yuqi Xiong +12

Recent Large Multimodal Models (LMMs) have achieved remarkable progress on OCR-centric document understanding and processing tasks. Existing benchmarks primarily evaluate LMMs acro…

cs.CV2025★ 16 cited

Qwen3-VL Technical Report

Shuai Bai, Yuxuan Cai, Ruizhe Chen +61

We introduce Qwen3-VL, the most capable vision-language model in the Qwen series to date, achieving superior performance across a broad range of multimodal benchmarks. It natively…

cs.CV2025★ 82 cited

Qwen2.5-VL Technical Report

Shuai Bai, Keqin Chen, Xuejing Liu +24

We introduce Qwen2.5-VL, the latest flagship model of Qwen vision-language series, which demonstrates significant advancements in both foundational capabilities and innovative func…

cs.CV2025★ 2 cited

OmniParser V2: Structured-Points-of-Thought for Unified Visual Text Parsing and Its Generality to Multimodal Large Language Models

Wenwen Yu, Zhibo Yang, Jianqiang Wan +5

Visually-situated text parsing (VsTP) has recently seen notable advancements, driven by the growing demand for automated document understanding and the emergence of large language…

cs.CV2024

CC-OCR: A Comprehensive and Challenging OCR Benchmark for Evaluating Large Multimodal Models in Literacy

Zhibo Yang, Jun Tang, Zhaohai Li +9

Large Multimodal Models (LMMs) have demonstrated impressive performance in recognizing document images with natural language instructions. However, it remains unclear to what exten…

cs.CV2024★ 1 cited

OmniParser: A Unified Framework for Text Spotting, Key Information Extraction and Table Recognition

Jianqiang Wan, Sibo Song, Wenwen Yu +6

Recently, visually-situated text parsing (VsTP) has experienced notable advancements, driven by the increasing demand for automated document understanding and the emergence of Gene…

cs.CV2022★ 1 cited

Vision-Language Pre-Training for Boosting Scene Text Detectors

Sibo Song, Jianqiang Wan, Zhibo Yang +4

Recently, vision-language joint representation learning has proven to be highly effective in various scenarios. In this paper, we specifically adapt vision-language joint learning…

cs.CV2020★ 4 cited

Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation

Jianqiang Wan, Yang Liu, Donglai Wei +2

Image segmentation is a fundamental vision task and a crucial step for many applications. In this paper, we propose a fast image segmentation method based on a novel super boundary…