most citedREO-VLM: Transforming VLM to Meet Regression Challenges in Earth Observation

2 citations · 5 across the 7 of their papers we have counts for

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cs.CV2025

Open-Vocabulary Object Detection in UAV Imagery: A Review and Future Perspectives

Yang Zhou, Junjie Li, CongYang Ou +3

Due to its extensive applications, aerial image object detection has long been a hot topic in computer vision. In recent years, advancements in Unmanned Aerial Vehicles (UAV) techn…

cs.CV2025

UVLM: Benchmarking Video Language Model for Underwater World Understanding

Xizhe Xue, Yang Zhou, Dawei Yan +5

Recently, the remarkable success of large language models (LLMs) has achieved a profound impact on the field of artificial intelligence. Numerous advanced works based on LLMs have…

cs.CV2025

OS-W2S: An Automatic Labeling Engine for Language-Guided Open-Set Aerial Object Detection

Guoting Wei, Yu Liu, Xia Yuan +7

In recent years, language-guided open-set aerial object detection has gained significant attention due to its better alignment with real-world application needs. However, due to li…

cs.CV2025

Regression in EO: Are VLMs Up to the Challenge?

Xizhe Xue, Xiao Xiang Zhu

Earth Observation (EO) data encompass a vast range of remotely sensed information, featuring multi-sensor and multi-temporal, playing an indispensable role in understanding our pla…

cs.CV2024★ 2 cited

REO-VLM: Transforming VLM to Meet Regression Challenges in Earth Observation

Xizhe Xue, Guoting Wei, Hao Chen +4

The rapid evolution of Vision Language Models (VLMs) has catalyzed significant advancements in artificial intelligence, expanding research across various disciplines, including Ear…

cs.CV2024★ 2 cited

RT-OVAD: Real-Time Open-Vocabulary Aerial Object Detection via Image-Text Collaboration

Guoting Wei, Xia Yuan, Yu Liu +7

Aerial object detection plays a crucial role in numerous applications. However, most existing methods focus on detecting predefined object categories, limiting their applicability…