Author Info
Name
Affiliation
Papers
RENÉ SCHUSTER
DFKI German Res Ctr Artificial Intelligence, Bremen, Germany
15
Collaborators
Citations 
PageRank 
19
14
5.44
Referers 
Referees 
References 
43
195
78
Search Limit
100195
Title
Citations
PageRank
Year
RMS-FlowNet: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds00.342022
A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions00.342021
SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation00.342021
DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDAR00.342020
Hperl: 3d Human Pose Estimation From Rgb And Lidar00.342020
ResFPN: Residual Skip Connections in Multi-Resolution Feature Pyramid Networks for Accurate Dense Pixel Matching00.342020
deepRGBXYZ: Dense Pixel Description Utilizing RGB and Depth with Stacked Dilated Convolutions00.342020
Sdc - Stacked Dilated Convolution: A Unified Descriptor Network For Dense Matching Tasks30.392019
An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching.00.342019
SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation.00.342019
Lidar-Flow: Dense Scene Flow Estimation From Sparse Lidar And Stereo Images10.352019
Flowfields Plus Plus : Accurate Optical Flow Correspondences Meet Robust Interpolation00.342018
Combining Stereo Disparity and Optical Flow for Basic Scene Flow.50.442018
Sceneflowfields: Dense Interpolation Of Sparse Scene Flow Correspondences50.542018
Dynamic Risk Assessment For Vehicles Of Higher Automation Levels By Deep Learning00.342018