Sparse Scene Flow

Media Summary: This video shows results from one of our older papers on Sparse Scene Flow Segmentation for Moving Object Detection in Urban Environments This work proposes a novel model and dataset for 3D

Sparse Scene Flow - Detailed Analysis & Overview

This video shows results from one of our older papers on Sparse Scene Flow Segmentation for Moving Object Detection in Urban Environments This work proposes a novel model and dataset for 3D René Schuster, Oliver Wasenmüller, Georg Kuschk, Christian Bailer, Didier Stricker While most Video presentation for our paper "DeepLiDARFlow: A Deep Learning Architecture For Video presentation for our paper "MonoComb: A

Authors: Rahul Ahuja; Chris Baker; Wilko Schwarting Description: Mariano Jaimez, Mohamed Souiai, Jörg Stückler, Javier Gonzalez-Jimenez and Daniel Cremers Technical University Munich.

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Sparse Scene Flow

Sparse Scene Flow Segmentation for Moving Object Detection in Urban Environments

Sparse Scene Flow Segmentation for Moving Object Detection in Urban Environments

Sparse Scene Flow Segmentation for Moving Object Detection in Urban Environments

Object Scene Flow for Autonomous Vehicles

Sparse Scene Flow Segmentation for Moving Object Detection in Urban Environments

WACV18: SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences

DeepLiDARFlow: Deep Scene Flow Estimation Using a Monocular Camera and a Sparse LiDAR - IROS 2020

[ICRA 2025] SSF: Sparse long-range Scene Flow for Autonomous Driving

MonoComb: A Sparse-to-Dense Combination Approach for Monocular Scene Flow - CSCS 2020

OptFlow: Fast Optimization-Based Scene Flow Estimation Without Supervision

SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences (IEEE WACV 2018)

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Sparse Scene Flow

Sparse Scene Flow

This video demonstrates

Sparse Scene Flow Segmentation for Moving Object Detection in Urban Environments

Sparse Scene Flow Segmentation for Moving Object Detection in Urban Environments

This video shows results from one of our older papers on

Sparse Scene Flow Segmentation for Moving Object Detection in Urban Environments

Sparse Scene Flow Segmentation for Moving Object Detection in Urban Environments

This video shows results from one of our older papers on

Sparse Scene Flow Segmentation for Moving Object Detection in Urban Environments

Sparse Scene Flow Segmentation for Moving Object Detection in Urban Environments

Sparse Scene Flow Segmentation for Moving Object Detection in Urban Environments

Object Scene Flow for Autonomous Vehicles

Object Scene Flow for Autonomous Vehicles

This work proposes a novel model and dataset for 3D

Sparse Scene Flow Segmentation for Moving Object Detection in Urban Environments

Sparse Scene Flow Segmentation for Moving Object Detection in Urban Environments

Sparse Scene Flow Segmentation for Moving Object Detection in Urban Environments

WACV18: SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences

WACV18: SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences

René Schuster, Oliver Wasenmüller, Georg Kuschk, Christian Bailer, Didier Stricker While most

DeepLiDARFlow: Deep Scene Flow Estimation Using a Monocular Camera and a Sparse LiDAR - IROS 2020

DeepLiDARFlow: Deep Scene Flow Estimation Using a Monocular Camera and a Sparse LiDAR - IROS 2020

https://av.dfki.de/ Video presentation for our paper "DeepLiDARFlow: A Deep Learning Architecture For

[ICRA 2025] SSF: Sparse long-range Scene Flow for Autonomous Driving

[ICRA 2025] SSF: Sparse long-range Scene Flow for Autonomous Driving

Abstract:

MonoComb: A Sparse-to-Dense Combination Approach for Monocular Scene Flow - CSCS 2020

MonoComb: A Sparse-to-Dense Combination Approach for Monocular Scene Flow - CSCS 2020

https://av.dfki.de/ Video presentation for our paper "MonoComb: A

OptFlow: Fast Optimization-Based Scene Flow Estimation Without Supervision

OptFlow: Fast Optimization-Based Scene Flow Estimation Without Supervision

Authors: Rahul Ahuja; Chris Baker; Wilko Schwarting Description:

SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences (IEEE WACV 2018)

SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences (IEEE WACV 2018)

While most

Motion Cooperation: Smooth Piece-Wise Rigid Scene Flow from RGB-D Images

Motion Cooperation: Smooth Piece-Wise Rigid Scene Flow from RGB-D Images

Mariano Jaimez, Mohamed Souiai, Jörg Stückler, Javier Gonzalez-Jimenez and Daniel Cremers Technical University Munich.