3 papers
cs.CV2026
Seeing Beyond Redundancy: Task Complexity's Role in Vision Token Specialization in VLLMs
Darryl Hannan, John Cooper, Dylan White +1
Vision capabilities in vision large language models (VLLMs) have consistently lagged behind their linguistic capabilities. In particular, numerous benchmark studies have demonstrat…
cs.CV2025
FMG-Det: Foundation Model Guided Robust Object Detection
Darryl Hannan, Timothy Doster, Henry Kvinge +2
Collecting high quality data for object detection tasks is challenging due to the inherent subjectivity in labeling the boundaries of an object. This makes it difficult to not only…
cs.CV2025
Foundation Models for Remote Sensing: An Analysis of MLLMs for Object Localization
Darryl Hannan, John Cooper, Dylan White +3
Multimodal large language models (MLLMs) have altered the landscape of computer vision, obtaining impressive results across a wide range of tasks, especially in zero-shot settings.…