activity
20202026
most citedFPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification

217 citations · 480 across the 13 of their papers we have counts for

collaborators

15 papers

cs.CV2026

EarthVL: A Progressive Earth Vision-Language Understanding and Generation Framework

Junjue Wang, Yanfei Zhong, Zihang Chen +3

Earth vision has achieved milestones in geospatial object recognition but lacks exploration in object-relational reasoning, limiting comprehensive scene understanding. To address t…

cs.CL2026★ 1 cited

Toward Global Large Language Models in Medicine

Rui Yang, Huitao Li, Weihao Xuan +47

Despite continuous advances in medical technology, the global distribution of health care resources remains uneven. The development of large language models (LLMs) has transformed…

cs.CV2025

HOpenCls: Training Hyperspectral Image Open-Set Classifiers in Their Living Environments

Hengwei Zhao, Xinyu Wang, Zhuo Zheng +2

Hyperspectral image (HSI) open-set classification is critical for HSI classification models deployed in real-world environments, where classifiers must simultaneously classify know…

cs.CV2024★ 1 cited

Changen2: Multi-Temporal Remote Sensing Generative Change Foundation Model

Zhuo Zheng, Stefano Ermon, Dongjun Kim +2

Our understanding of the temporal dynamics of the Earth's surface has been advanced by deep vision models, which often require lots of labeled multi-temporal images for training. H…

cs.CV2024★ 19 cited

Single-Temporal Supervised Learning for Universal Remote Sensing Change Detection

Zhuo Zheng, Yanfei Zhong, Ailong Ma +1

Bitemporal supervised learning paradigm always dominates remote sensing change detection using numerous labeled bitemporal image pairs, especially for high spatial resolution (HSR)…

cs.CV2024★ 3 cited

Segment Any Change

Zhuo Zheng, Yanfei Zhong, Liangpei Zhang +1

Visual foundation models have achieved remarkable results in zero-shot image classification and segmentation, but zero-shot change detection remains an open problem. In this paper,…