6 papers
FUSAR-GPT : A Spatiotemporal Feature-Embedded and Two-Stage Decoupled Visual Language Model for SAR Imagery
Xiaokun Zhang, Yi Yang, Ziqi Ye +6
Research on the intelligent interpretation of all-weather, all-time Synthetic Aperture Radar (SAR) is crucial for advancing remote sensing applications. In recent years, although V…
OMIBench: Benchmarking Olympiad-Level Multi-Image Reasoning in Large Vision-Language Model
Qiguang Chen, Chengyu Luan, Jiajun Wu +7
Large vision-language models (LVLMs) have made substantial advances in reasoning tasks at the Olympiad level. Nevertheless, current Olympiad-level multimodal reasoning benchmarks f…
Echoes of ownership: Adversarial-guided dual injection for copyright protection in MLLMs
Chengwei Xia, Fan Ma, Ruijie Quan +3
With the rapid deployment of multimodal large language models (MLLMs), disputes regarding model ownership have become increasingly frequent, raising significant concerns about inte…
ContextGen: Contextual Layout Anchoring for Identity-Consistent Multi-Instance Generation
Ruihang Xu, Dewei Zhou, Fan Ma +1
Multi-instance image generation (MIG) remains a significant challenge for modern diffusion models due to key limitations in achieving precise control over object layout and preserv…
Imagine and Seek: Improving Composed Image Retrieval with an Imagined Proxy
You Li, Fan Ma, Yi Yang
The Zero-shot Composed Image Retrieval (ZSCIR) requires retrieving images that match the query image and the relative captions. Current methods focus on projecting the query image…
AnySynth: Harnessing the Power of Image Synthetic Data Generation for Generalized Vision-Language Tasks
You Li, Fan Ma, Yi Yang
Diffusion models have recently been employed to generate high-quality images, reducing the need for manual data collection and improving model generalization in tasks such as objec…