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most citedGeoGround: A Unified Large Vision-Language Model for Remote Sensing Visual Grounding

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

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cs.CV2026

V-ICAL Bench: Evaluating Video In-Context Learning for Multimodal Agents in Interactive Environments

Ziqian Fan, Shibo Xu, Junjie Li +8

While In-Context Learning (ICL) enables models to adapt from exemplars without parameter updates, multimodal ICL remains largely underexplored, particularly regarding video demonst…

cs.CV2026

DVGBench: Implicit-to-Explicit Visual Grounding Benchmark in UAV Imagery with Large Vision-Language Models

Yue Zhou, Jue Chen, Zilun Zhang +10

Remote sensing (RS) large vision-language models (LVLMs) have shown strong promise across visual grounding (VG) tasks. However, existing RS VG datasets predominantly rely on explic…

cs.CV2025

Beyond Textual CoT: Interleaved Text-Image Chains with Deep Confidence Reasoning for Image Editing

Zhentao Zou, Zhengrong Yue, Kunpeng Du +9

Image editing with natural language has gained significant popularity, yet existing methods struggle with intricate object intersections and fine-grained spatial relationships due…

cs.CV2025

Multimodal Mathematical Reasoning Embedded in Aerial Vehicle Imagery: Benchmarking, Analysis, and Exploration

Yue Zhou, Litong Feng, Mengcheng Lan +5

Mathematical reasoning is critical for tasks such as precise distance and area computations, trajectory estimations, and spatial analysis in unmanned aerial vehicle (UAV) based rem…

cs.CV2024

GeoGround: A Unified Large Vision-Language Model for Remote Sensing Visual Grounding

Yue Zhou, Mengcheng Lan, Xiang Li +6

Remote sensing (RS) visual grounding aims to use natural language expression to locate specific objects (in the form of the bounding box or segmentation mask) in RS images, enhanci…

cs.CV2024

Text4Seg: Reimagining Image Segmentation as Text Generation

Mengcheng Lan, Chaofeng Chen, Yue Zhou +5

Multimodal Large Language Models (MLLMs) have shown exceptional capabilities in vision-language tasks; however, effectively integrating image segmentation into these models remains…