4 papers
Detect Anything in Graphic Design: Element-Level Rewards for Autoregressive Detection
Jiangning Zhu, Bowen Li, Shenyu Qiao +4
Graphic designs, such as posters, advertisements, and infographics, are an important medium for communicating information and shaping understanding. Unlike natural images, they con…
InfoDet: A Dataset for Infographic Element Detection
Jiangning Zhu, Yuxing Zhou, Zheng Wang +4
Given the central role of charts in scientific, business, and communication contexts, enhancing the chart understanding capabilities of vision-language models (VLMs) has become inc…
Structural-Entropy-Based Sample Selection for Efficient and Effective Learning
Tianchi Xie, Jiangning Zhu, Guozu Ma +4
Sample selection improves the efficiency and effectiveness of machine learning models by providing informative and representative samples. Typically, samples can be modeled as a sa…
ReorderBench: A Benchmark for Matrix Reordering
Jiangning Zhu, Zheng Wang, Zhiyang Shen +4
Matrix reordering permutes the rows and columns of a matrix to reveal meaningful visual patterns, such as blocks that represent clusters. A comprehensive collection of matrices, al…