Results 21 to 30 of about 90,374 (275)
Unbiased 3D Semantic Scene Graph Prediction in Point Cloud Using Deep Learning
Applied Sciences, 2023 As a core task of computer vision perception, 3D scene understanding has received widespread attention. However, the current research mainly focuses on the semantic understanding task at the level of entity objects and often neglects the semantic ...
Chaolin Han +6 more
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SGFormer: Semantic Graph Transformer for Point Cloud-Based 3D Scene Graph Generation [PDF]
AAAI Conference on Artificial Intelligence, 2023 In this paper, we propose a novel model called SGFormer, Semantic Graph TransFormer for point cloud-based 3D scene graph generation. The task aims to parse a point cloud-based scene into a semantic structural graph, with the core challenge of modeling ...
Changsheng Lv +4 more
semanticscholar +1 more source
GaussianGraph: 3D Gaussian-Based Scene Graph Generation for Open-World Scene Understanding
2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)Recent advancements in 3D Gaussian Splatting(3DGS) have significantly improved semantic scene understanding, enabling natural language queries to localize objects within a scene.
Xihan Wang +5 more
semanticscholar +3 more sources
Unsupervised Traffic Scene Generation with Synthetic 3D Scene Graphs
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 Image synthesis driven by computer graphics achieved recently a remarkable realism, yet synthetic image data generated this way reveals a significant domain gap with respect to real-world data. This is especially true in autonomous driving scenarios, which represent a critical aspect for overcoming utilizing synthetic data for training neural networks.
Artem Savkin +3 more
openaire +2 more sources
Sensors, 2021 An algorithm designed for analysis and understanding a 3D urban-type environment by an autonomous flying agent, equipped only with a monocular vision, is presented.
Andrzej Bielecki, Piotr Ĺmigielski
doaj +1 more source
Learning 3D Semantic Scene Graphs with Instance Embeddings [PDF]
International Journal of Computer Vision, 2022 AbstractA 3D scene is more than the geometry and classes of the objects it comprises. An essential aspect beyond object-level perception is the scene context, described as a dense semantic network of interconnected nodes. Scene graphs have become a common representation to encode the semantic richness of images, where nodes in the graph are object ...
Johanna Wald +2 more
openaire +2 more sources
Graph-based interpolation for zooming in 3D scenes [PDF]
2017 25th European Signal Processing Conference (EUSIPCO), 2017 Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Pinar Akyazi, Pascal Frossard
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Lang3DSG: Language-based contrastive pre-training for 3D Scene Graph prediction [PDF]
International Conference on 3D Vision, 2023 3D scene graphs are an emerging 3D scene representation, that models both the objects present in the scene as well as their relationships. However, learning 3D scene graphs is a challenging task because it requires not only object labels but also ...
Sebastian Koch +4 more
semanticscholar +1 more source
A surface graph based deep learning framework for large-scale urban mesh semantic segmentation
International Journal of Applied Earth Observations and Geoinformation, 2023 The acquisition of large-scale 3D urban scene by photogrammetry and remote sensing is becoming faster and easier in recent years. As one of the important steps to help machines understand scenarios, mesh semantic segmentation has received extensive ...
Yetao Yang +3 more
doaj +1 more source
Learning 3D Semantic Scene Graphs From 3D Indoor Reconstructions [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 Scene understanding has been of high interest in computer vision. It encompasses not only identifying objects in a scene, but also their relationships within the given context. With this goal, a recent line of works tackles 3D semantic segmentation and scene layout prediction.
Johanna Wald +3 more
openaire +2 more sources