16 citations · 25 across the 8 of their papers we have counts for
4 papers · 1 filter
Olympus: A Universal Task Router for Computer Vision Tasks
Yuanze Lin, Yunsheng Li, Dongdong Chen +3
We introduce Olympus, a new approach that transforms Multimodal Large Language Models (MLLMs) into a unified framework capable of handling a wide array of computer vision tasks. Ut…
Rethinking Visual Prompting for Multimodal Large Language Models with External Knowledge
Yuanze Lin, Yunsheng Li, Dongdong Chen +4
In recent years, multimodal large language models (MLLMs) have made significant strides by training on vast high-quality image-text datasets, enabling them to generally understand…
Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks
Bin Xiao, Haiping Wu, Weijian Xu +6
We introduce Florence-2, a novel vision foundation model with a unified, prompt-based representation for a variety of computer vision and vision-language tasks. While existing larg…
A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions
Jiawei Lin, Jiaqi Guo, Shizhao Sun +4
Creating layouts is a fundamental step in graphic design. In this work, we propose to use text as the guidance to create graphic layouts, i.e., Text-to-Layout, aiming to lower the…