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Context Driven Scene Understanding
2015Understanding objects in complex scenes is a fundamental and challenging problem in computer vision. Given an image, we would like to answer the questions of whether there is an object of a particular category in the image, where is it, and if possible, locate it with a bounding box or pixel-wise labels. In this dissertation, we present context driven
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Understanding and Modeling Communication Scenes
2006 IEEE Spoken Language Technology Workshop, 2006This paper discusses the technologies required to better understand and model human-human communication, and to use the resulting technologies to build computer-enhanced communication tools. As networks and computers become more pervasive, groups are increasingly using technology to assist communication and collaboration and to reduce travel needs. The
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Semantic Scene Understanding with Large Language Models on Unmanned Aerial Vehicles
Drones, 2023CARLOS T Calafate +2 more
exaly
Recognition and action for scene understanding
Neurocomputing, 2015Rebeca Marfil +2 more
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A Survey on Deep Learning Based Approaches for Scene Understanding in Autonomous Driving
Electronics (Switzerland), 2021Hongjian Wei, Yingping Huang, Xing Hu
exaly
Scene understanding and behaviour analysis
Pattern Recognition Letters, 2013Antonio Bandera Rubio +2 more
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Scene understanding via scene graph
Visual scene understanding is a fundamental challenge in computer vision, aiming to enable intelligent systems to decipher the world through visual data. This field encompasses a wide range of tasks, including image classification, object detection, and semantic as well as instance segmentation. Advances in deep learning have significantly improved ouropenaire +1 more source