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SCIM: Simultaneous Clustering, Inference, and Mapping for Open-World Semantic Scene Understanding

• Authors : Blum, Hermann; id_orcid:0 000-0002-1713-7877; Müller, Marcus G. ...

Subjects: self-supervised learning; semantic segmentation; self-improving perception

• Source: Springer Proceedings in Advanced Robotics, 27 ; Robotics Research

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Panoptic Vision-Language Feature Fields

• Authors : Chen, Haoran; Blomqvist, Kenneth; Milano, Francesco

Subjects: Semantic scene understanding; deep learning for visual perception; 3D open vocabulary panoptic segmentation

• Source: IEEE Robotics and Automation Letters, 9 (3)

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Domain-Adaptive Semantic Segmentation with Memory-Efficient Cross-Domain Transformers

• Authors : Mascaro, Ruben; id_orcid:0 000-0002-9286-1996; Teixeira, Lucas

Subjects: Semantic Scene Understanding; Unsupervised Domain Adaptation

• Source: 34th British Machine Vision Conference Proceedings

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Diffuser: Multi-View 2D-to-3D Label Diffusion for Semantic Scene Segmentation

• Authors : Mascaro, Ruben; Teixeira, Lucas; id_orcid:0 000-0002-3192-827X

Subjects: Semantic Scene Understanding

• Source: 2021 IEEE International Conference on Robotics and Automation (ICRA)

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Dense object-level robotic mapping

• Authors : Grinvald, Margarita; id_orcid:0 000-0003-0253-1801;

Subjects: Semantic scene understanding; Computer vision; 3D Vision

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Semantic Understanding of Foggy Scenes with Purely Synthetic Data

• Authors : Hahner, Martin; id_orcid:0 000-0001-9142-1027; Dai, Dengxin ...

Subjects: machine learning; computer vision; autonomous driving

• Source: 2019 IEEE Intelligent Transportation Systems Conference (ITSC)

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Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding

• Authors : Sakaridis, Christos; Dai, Dengxin; Hecker, Simon ...

Subjects: Semantic foggy scene understanding; Fog simulation; Synthetic data

• Source: Lecture Notes in Computer Science, 11217 ; Computer Vision – ECCV 2018 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XIII

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Semantic Foggy Scene Understanding with Synthetic Data

• Authors : Sakaridis, Christos; Dai, Dengxin; Van Gool, Luc

Subjects: Foggy scene understanding; Semantic segmentation; Object detection

• Source: International Journal of Computer Vision, 126 (9)

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Self-improving, Open-World Robotic Scene Understanding

• Authors : Blum, Hermann; id_orcid:0 000-0002-1713-7877;

Subjects: semantic segmentation; robotics; Robotic perception

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Semantic Understanding of Driving Scenes in Adverse Conditions

• Authors : Sakaridis, Christos;

Subjects: computer vision; machine learning; domain adaptation

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