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20242026
most citedCAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything Model

3 citations · 6 across the 16 of their papers we have counts for

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cs.CV2026

The Last Remote Sensing Model Built by Humans? Casting Any Earth Observation Task as Recursive Self-Improvement

Sijie Zhao, Zeqi Zhou, Heli Qi +6

Earth observation (EO) models are still built by hand. For each new task, experts design a training recipe and tune it against a benchmark. We show that this loop can be handed to…

cs.CV2026

EORestore-Agent: Fidelity-Guided Agentic Restoration of Remote Sensing Images with Composite Degradations

Heli Qi, Zeqi Zhou, Jingjun Yi +5

Remote sensing images often carry composite degradations, in which haze, cloud, noise, blur, low light, and low resolution coexist. Restoring them requires deciding which tool to a…

cs.CV2025

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models

Weihao Xuan, Qingcheng Zeng, Heli Qi +2

Uncertainty quantification is essential for assessing the reliability and trustworthiness of modern AI systems. Among existing approaches, verbalized uncertainty, where models expr…

cs.CV2025

DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response

Junjue Wang, Weihao Xuan, Heli Qi +8

Large vision-language models (VLMs) have made great achievements in Earth vision. However, complex disaster scenes with diverse disaster types, geographic regions, and satellite se…

cs.CV2025

DynamicVL: Benchmarking Multimodal Large Language Models for Dynamic City Understanding

Weihao Xuan, Junjue Wang, Heli Qi +5

Multimodal large language models (MLLMs) have demonstrated remarkable capabilities in visual understanding, but their application to long-term Earth observation analysis remains li…

cs.CV2024★ 1 cited

Segment Anything with Multiple Modalities

Aoran Xiao, Weihao Xuan, Heli Qi +3

Robust and accurate segmentation of scenes has become one core functionality in various visual recognition and navigation tasks. This has inspired the recent development of Segment…

cs.CV2024★ 3 cited

CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything Model

Aoran Xiao, Weihao Xuan, Heli Qi +5

The recent Segment Anything Model (SAM) has demonstrated remarkable zero-shot capability and flexible geometric prompting in general image segmentation. However, SAM often struggle…