Yonghan Zheng — accepted AI-conference papers

2026

PixDLM: A Dual-Path Multimodal Language Model for UAV Reasoning Segmentation

Shuyan Ke, Yifan Mei, Changli Wu, Yonghan Zheng, Jiayi Ji, Liujuan Cao +1

CVPR 2026

Reasoning segmentation has recently expanded from ground-level scenes to remote-sensing imagery, yet UAV data poses distinct challenges, including oblique viewpoints, ultra-high resolutions, and extreme scale variations. To address these issues, we formally define the UAV Reasoning Segmentation task

Cited by 0 Source ↗code ↗Scholar ↗

2024

I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing

Yiwei Ma, Jiayi Ji, Ke Ye, Weihuang Lin, zhibin wang, Yonghan Zheng +3

NeurIPS 2024poster

Significant progress has been made in the field of Instruction-based Image Editing (IIE). However, evaluating these models poses a significant challenge. A crucial requirement in this field is the establishment of a comprehensive evaluation benchmark for accurately assessing editing results and prov…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗