Zhun-Chen Luo

MAWC-DETR: lightweight small-object detection in UAV imagery via multi-stage adaptive weighted calibration

ZT-D 2 SR: Dual-Domain Guided Adaptive Super-Resolution for remote sensing images

Remote sensing image super-resolution aims to recover high-frequency details from low-resolution images. However, when processing complex terrains and tiny objects, existing methods often struggle with insufficient detail recovery, structural distortion, and limited generalization. Although diffusion models possess p...

HFSC-Net: A Hierarchical-Feature-Guided Spatial-Frequency Dual-Domain Collaborative Network for Remote Sensing Image Semantic Segmentation

With the rapid development of high-resolution remote sensing platforms and the growing demand for intelligent Earth observation, remote sensing image semantic segmentation has become a key technology for road extraction, urban–rural planning, disaster monitoring, and ecological assessment. However, complex remote sensi...

AtlasNav: Mitigating Evidence Blindness with Persistent Corpus Navigation

As language-model agents become more capable of iterative search, corpus access is shifting from retrieval toward interaction. Agents can explore the corpus, inspect documents, and use newly discovered evidence to decide what to examine next. Yet accessible evidence may still fail to become usable within a finite inter...