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This work proposes a novel model and dataset for 3D This video shows results from one of our older papers on Authors: Rahul Ahuja; Chris Baker; Wilko Schwarting Description: Sparse Scene Flow Segmentation for Moving Object Detection in Urban Environments Video presentation for our paper "DeepLiDARFlow: A Deep Learning Architecture For The updated link to the video: The preprint is available on the arXiv: ...
Mariano Jaimez, Mohamed Souiai, Jörg Stückler, Javier Gonzalez-Jimenez and Daniel Cremers Technical University Munich. René Schuster, Oliver Wasenmüller, Georg Kuschk, Christian Bailer, Didier Stricker While most
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OptFlow: Fast Optimization-Based Scene Flow Estimation Without Supervision
Sparse Scene Flow Segmentation for Moving Object Detection in Urban Environments
Sparse Scene Flow Segmentation for Moving Object Detection in Urban Environments
DeepLiDARFlow: Deep Scene Flow Estimation Using a Monocular Camera and a Sparse LiDAR - IROS 2020
Unsupervised Learning of Flow and Depth using Sparse Events [Updated Link below]
Motion Cooperation: Smooth Piece-Wise Rigid Scene Flow from RGB-D Images
[ICRA 2025] SSF: Sparse long-range Scene Flow for Autonomous Driving
Robust Scene Flow using Binocular Stereo Sequences in Near-Real-Time (Video Submission CVPR09)
WACV18: SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences
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Last Updated: June 21, 2026
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![Unsupervised Learning of Flow and Depth using Sparse Events [Updated Link below]](https://i0.wp.com/i.ytimg.com/vi/it47mPjk7zQ/mqdefault.jpg?resize=320,180)
![[ICRA 2025] SSF: Sparse long-range Scene Flow for Autonomous Driving](https://i0.wp.com/i.ytimg.com/vi/ZPZ0RHsItKs/mqdefault.jpg?resize=320,180)
