We present SegLLM, a novel multi-round interactive segmentation model that leverages conversational memory of both visual and textual outputs to reason over previously segmented objects and past ...
Abstract: In the field of remote sensing, semantic segmentation of unmanned aerial vehicle (UAV) imagery is crucial for tasks such as land resource management, urban planning, precision agriculture, ...
T1Prep is a pipeline that preprocesses T1-weighted MRI data and supports segmentation and cortical surface reconstruction. It provides a complete set of tools for efficiently processing structural MRI ...
Abstract: Semantic segmentation is a fundamental task in multimedia processing, which can be used for analyzing, understanding, editing contents of images and videos, among others. To accelerate the ...
Cloud infrastructures are increasingly managed by Infrastructure-as-Code (IaC) frameworks (e.g., Terraform). IaC frameworks enable cloud users to configure their resources in a declarative manner, ...
AI has transformed how we interact with technology, moving from traditional graphical interfaces to language-based, collaborative systems. To measure these new human-AI interactions, we developed ...
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