Wanchen Li — accepted AI-conference papers

2026

SegEarth-R2: Towards Comprehensive Language-guided Segmentation for Remote Sensing Images

Zepeng Xin, Kaiyu Li, Luodi Chen, Wanchen Li, Xiao Yuchen, Hui Qiao +3

CVPR 2026

Effectively grounding complex language to pixels in remote sensing (RS) images is a critical challenge for applications like disaster response and environmental monitoring. Current models can parse simple, single-target commands but fail when presented with complex geospatial scenarios, e.g., segmen

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2026

ZoomEarth: Active Perception for Ultra-High-Resolution Geospatial Vision-Language Tasks

Ruixun Liu, Bowen Fu, Jiayi Song, Kaiyu Li, Wanchen Li, Lanxuan Xue +4

CVPR 2026

Ultra-high-resolution (UHR) remote sensing (RS) images offer rich fine-grained information but also present challenges in effective processing. Existing dynamic resolution and token pruning methods are constrained by a passive perception paradigm, suffering from increased redundancy when obtaining f

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