Results 231 to 240 of about 14,258 (262)

3D reconstruction, omnidirectional vision and understanding of scenes

Procedings of the British Machine Vision Conference 2002, 2002
This text is related to the invited talk at the British Machine Vision Conference in Cardiff in September 2002 and highlights several recent contributions of our group to computer vision research. The aim is to hint the reader to several quite self-contained topics which we developed: omni-directional vision, scene reconstruction from images, and ...
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Coherent Scene Understanding With 3D Geometric Reasoning

2011
When looking at a single 2D image of a scene, humans could effortlessly understand the 3D world behind the scene even though stereo and motion cues are not available. Due to this remarkable human capability, one of the ultimate goals of computer vision is to enable machines to automatically infer the 3D structure of a scene given a single 2D image ...
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3D Scene Understanding with Deep Learning

2022
3D scene understanding is crucial for robotics, augmented reality and autonomous vehicles. In those applications, the 3D structure can be computed by using stereo cameras or depth sensors. One can process these 3D measurements using deep learning techniques to achieve remarkable performance in various perception related tasks.
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LLaVA³: Representing 3D Scenes Like a Cubist Painter to Boost 3D Scene Understanding of VLMs

Proceedings of the AAAI Conference on Artificial Intelligence
Developing a multi-modal language model capable of understanding 3D scenes remains challenging due to the limited availability of 3D training data, in contrast to the abundance of 2D datasets used for vision-language models (VLMs). As an alternative, we introduce LLaVA³ (pronounced LLaVA Cube), a novel method that improves the 3D scene understanding ...
Doriand Petit, Steve Bourgeois, Vincent Gay-Bellile, Florian Chabot, Loïc Barthe   +4 more
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Semantic Scene Understanding with Large Language Models on Unmanned Aerial Vehicles

Drones, 2023
CARLOS T Calafate, I De Zarza, J De Curtò   +2 more
exaly  

A Survey on Deep Learning Based Approaches for Scene Understanding in Autonomous Driving

Electronics (Switzerland), 2021
Hongjian Wei, Yingping Huang, Xing Hu
exaly  

Urban scene understanding based on semantic and socioeconomic features: From high-resolution remote sensing imagery to multi-source geographic datasets

ISPRS Journal of Photogrammetry and Remote Sensing, 2021
Ji Zhao, Yanfei Zhong, Qiqi Zhu
exaly  

Scene Complexity: A New Perspective on Understanding the Scene Semantics of Remote Sensing and Designing Image-Adaptive Convolutional Neural Networks

Remote Sensing, 2021
Wenbo Li, Wenbo Li, Peng Jian
exaly  

Language-Assisted 3D Scene Understanding

IEEE Transactions on Multimedia
Yanmin Wu, Qiankun Gao, Renrui Zhang, Haijie Li, Jian Zhang 0018   +4 more
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MLRSNet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding

ISPRS Journal of Photogrammetry and Remote Sensing, 2020
Peng Junhuan, P Takis Mathiopoulos, Liqiang Zhang   +2 more
exaly