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20242026
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cs.CV2026

ET-SAM: Efficient Point Prompt Prediction in SAM for Unified Scene Text Detection and Layout Analysis

Xike Zhang, Maoyuan Ye, Juhua Liu +1

Previous works based on Segment Anything Model (SAM) have achieved promising performance in unified scene text detection and layout analysis. However, the typical reliance on pixel…

cs.CV2026

UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs

Shuo Ni, Tong Wang, Jing Zhang +4

Vision-Language Models (VLMs) increasingly operate on ultra-high-resolution (UHR) Earth observation imagery, yet they remain vulnerable to a severe scale mismatch between large-sca…

cs.CV2026

Learn to Think: Improving Multimodal Reasoning through Vision-Aware Self-Improvement Training

Qihuang Zhong, Liang Ding, Wenjie Xuan +3

Post-training with explicit reasoning traces is common to improve the reasoning capabilities of Multimodal Large Language Models (MLLMs). However, acquiring high-quality reasoning…

cs.CV2026

VTAgent: Agentic Keyframe Anchoring for Evidence-Aware Video TextVQA

Haibin He, Maoyuan Ye, Jing Zhang +2

Video text-based visual question answering (Video TextVQA) aims to answer questions by reasoning over visual textual content appearing in videos. Despite the strong multimodal vide…

cs.CV2026

Epistemic-aware Vision-Language Foundation Model for Fetal Ultrasound Interpretation

Xiao He, Huangxuan Zhao, Guojia Wan +8

Recent medical vision-language models have shown promise on tasks such as VQA, report generation, and anomaly detection. However, most are adapted to structured adult imaging and u…

cs.CV2025

GoMatching++: Parameter- and Data-Efficient Arbitrary-Shaped Video Text Spotting and Benchmarking

Haibin He, Jing Zhang, Maoyuan Ye +3

Video text spotting (VTS) extends image text spotting (ITS) by adding text tracking, significantly increasing task complexity. Despite progress in VTS, existing methods still fall…