4 accepted papers
Radiology report generation (RRG) aims to automatically describe medical images via free-text reports. In clinical practice, comparing current and prior chest X-rays is essential for assessing disease progression, motivating the development of longitudinal RRG methods. However, most existing approac
Affordance refers to the interactable functional properties of an object, and affordance segmentation aims to pixel-level segment the object functional parts in a given image, which is crucial for various interactive vision tasks. Existing methods address the affordance segmentation problem by utili…
As a powerful model for deep learning on graph-structured data, the scalability limitation of Graph Neural Networks (GNNs) are receiving increasing attention. To tackle this limitation, two categories of scalable GNNs have been proposed: sampling-based and model simplification methods. However, samp…
In this paper, we propose micROS.BT, an event-driven behavior tree (BT) framework aiming at supporting swarm-robot coordination. Compared with other BT frame-works, micROS.BT implements the event-driven way under the multi-thread mode, which can effectively save computing resources. Moreover, in ord…