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20182026
most citedASTRAL: Adversarial Trained LSTM-CNN for Named Entity Recognition

73 citations · 272 across the 16 of their papers we have counts for

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13 papers · 1 filter

cs.CV2026

GeoChrono: Benchmarking and Rethinking Long-Term Temporal Understanding in Remote Sensing

Yujie Li, Jiancheng Pan, Zhiwei Wei +3

Remote sensing offers an unparalleled vantage point for observing the Earth's long-term surface evolution, yet it demands that a model not only perceive land cover at isolated mome…

cs.CV2025

Group-based Distinctive Image Captioning with Memory Difference Encoding and Attention

Jiuniu Wang, Wenjia Xu, Qingzhong Wang +1

Recent advances in image captioning have focused on enhancing accuracy by substantially increasing the dataset and model size. While conventional captioning models exhibit high per…

cs.CV2024

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models

Yujie Li, Wenjia Xu, Guangzuo Li +4

The domain gap between remote sensing imagery and natural images has recently received widespread attention and Vision-Language Models (VLMs) have demonstrated excellent generaliza…

cs.CV2024★ 5 cited

RS-Agent: Automating Remote Sensing Tasks through Intelligent Agent

Wenjia Xu, Zijian Yu, Boyang Mu +3

Recent advances in Multimodal Large Language Models (MLLMs) have shown promise for remote sensing tasks such as visual question answering and scene understanding. However, existing…

cs.CV2024★ 8 cited

UAV-VisLoc: A Large-scale Dataset for UAV Visual Localization

Wenjia Xu, Yaxuan Yao, Jiaqi Cao +4

The application of unmanned aerial vehicles (UAV) has been widely extended recently. It is crucial to ensure accurate latitude and longitude coordinates for UAVs, especially when t…

cs.CV2024★ 34 cited

Deep Semantic-Visual Alignment for Zero-Shot Remote Sensing Image Scene Classification

Wenjia Xu, Jiuniu Wang, Zhiwei Wei +2

Deep neural networks have achieved promising progress in remote sensing (RS) image classification, for which the training process requires abundant samples for each class. However,…