René Schuster | DeepAI

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∙ 12/15/2022

Multi-task Fusion for Efficient Panoptic-Part Segmentation

In this paper, we introduce a novel network that generates semantic, ins...

0 Sravan Kumar Jagadeesh, et al. ∙

∙ 11/28/2022

Object Permanence in Object Detection Leveraging Temporal Priors at Inference Time

Object permanence is the concept that objects do not suddenly disappear ...

0 Michael Fürst, et al. ∙

∙ 10/13/2022

Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation

In class-incremental semantic segmentation (CISS), deep learning archite...

6 Dipam Goswami, et al. ∙

∙ 06/30/2022

Self-SuperFlow: Self-supervised Scene Flow Prediction in Stereo Sequences

In recent years, deep neural networks showed their exceeding capabilitie...

0 Katharina Bendig, et al. ∙

∙ 04/01/2022

RMS-FlowNet: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds

The proposed RMS-FlowNet is a novel end-to-end learning-based architectu...

0 Ramy Battrawy, et al. ∙

∙ 10/25/2021

Multi-scale Iterative Residuals for Fast and Scalable Stereo Matching

Despite the remarkable progress of deep learning in stereo matching, the...

0 Kumail Raza, et al. ∙

∙ 11/03/2020

A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions

Motion estimation is one of the core challenges in computer vision. With...

11 René Schuster, et al. ∙

∙ 10/21/2020

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

Contrary to the ongoing trend in automotive applications towards usage o...

0 René Schuster, et al. ∙

∙ 10/16/2020

HPERL: 3D Human Pose Estimation from RGB and LiDAR

In-the-wild human pose estimation has a huge potential for various field...

0 Michael Fürst, et al. ∙

∙ 08/21/2020

SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation

Interpolation of sparse pixel information towards a dense target resolut...

0 René Schuster, et al. ∙

∙ 08/18/2020

DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDAR

Scene flow is the dense 3D reconstruction of motion and geometry of a sc...

0 Rishav, et al. ∙

∙ 06/22/2020

ResFPN: Residual Skip Connections in Multi-Resolution Feature Pyramid Networks for Accurate Dense Pixel Matching

Dense pixel matching is required for many computer vision algorithms suc...

0 Rishav, et al. ∙

∙ 10/31/2019

LiDAR-Flow: Dense Scene Flow Estimation from Sparse LiDAR and Stereo Images

We propose a new approach called LiDAR-Flow to robustly estimate a dense...

16 Ramy Battrawy, et al. ∙

∙ 04/12/2019

An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching

Training a deep neural network is a non-trivial task. Not only the tunin...

0 René Schuster, et al. ∙

∙ 04/12/2019

PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow Estimation

In the last few years, convolutional neural networks (CNNs) have demonst...

8 Rohan Saxena, et al. ∙

∙ 04/05/2019

SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks

Dense pixel matching is important for many computer vision tasks such as...

8 René Schuster, et al. ∙

∙ 02/26/2019

SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation

State-of-the-art scene flow algorithms pursue the conflicting targets of...

6 René Schuster, et al. ∙

∙ 08/30/2018

Automated Scene Flow Data Generation for Training and Verification

Scene flow describes the 3D position as well as the 3D motion of each pi...

0 Oliver Wasenmüller, et al. ∙

∙ 08/30/2018

Dense Scene Flow from Stereo Disparity and Optical Flow

Scene flow describes 3D motion in a 3D scene. It can either be modeled a...

0 René Schuster, et al. ∙

∙ 06/20/2018

Dynamic Risk Assessment for Vehicles of Higher Automation Levels by Deep Learning

Vehicles of higher automation levels require the creation of situation a...

0 Patrik Feth, et al. ∙

∙ 05/09/2018

FlowFields++: Accurate Optical Flow Correspondences Meet Robust Interpolation

Optical Flow algorithms are of high importance for many applications. Re...

0 René Schuster, et al. ∙

∙ 01/15/2018

Combining Stereo Disparity and Optical Flow for Basic Scene Flow

Scene flow is a description of real world motion in 3D that contains mor...

0 René Schuster, et al. ∙

∙ 10/27/2017

SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences

While most scene flow methods use either variational optimization or a s...

0 René Schuster, et al. ∙