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09/12/2023
360^∘ from a Single Camera: A Few-Shot Approach for LiDAR Segmentation
Deep learning applications on LiDAR data suffer from a strong domain gap...
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08/18/2023
Transformer-based Detection of Microorganisms on High-Resolution Petri Dish Images
Many medical or pharmaceutical processes have strict guidelines regardin...
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07/18/2023
Light-Weight Vision Transformer with Parallel Local and Global Self-Attention
While transformer architectures have dominated computer vision in recent...
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05/03/2022
Multitask Network for Joint Object Detection, Semantic Segmentation and Human Pose Estimation in Vehicle Occupancy Monitoring
In order to ensure safe autonomous driving, precise information about th...
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10/21/2021
Detection of Driver Drowsiness by Calculating the Speed of Eye Blinking
Many road accidents are caused by drowsiness of the driver. While there ...
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07/14/2021
PDC: Piecewise Depth Completion utilizing Superpixels
Depth completion from sparse LiDAR and high-resolution RGB data is one o...
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07/14/2021
DVMN: Dense Validity Mask Network for Depth Completion
LiDAR depth maps provide environmental guidance in a variety of applicat...
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05/07/2021
Autoencoder Based Inter-Vehicle Generalization for In-Cabin Occupant Classification
Common domain shift problem formulations consider the integration of mul...
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02/22/2021
SALT: A Semi-automatic Labeling Tool for RGB-D Video Sequences
Large labeled data sets are one of the essential basics of modern deep l...
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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...
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08/21/2020
SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation
Interpolation of sparse pixel information towards a dense target resolut...
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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...
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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...
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06/17/2020
LRPD: Long Range 3D Pedestrian Detection Leveraging Specific Strengths of LiDAR and RGB
While short range 3D pedestrian detection is sufficient for emergency br...
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01/28/2020
DFKI Cabin Simulator: A Test Platform for Visual In-Cabin Monitoring Functions
We present a test platform for visual in-cabin scene analysis and occupa...
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01/10/2020
SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark
We release SVIRO, a synthetic dataset for sceneries in the passenger com...
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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...
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07/31/2019
Rapid Light Field Depth Estimation with Semi-Global Matching
Running time of the light field depth estimation algorithms is typically...
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07/25/2019
A Compact Light Field Camera for Real-Time Depth Estimation
Depth cameras are utilized in many applications. Recently light field ap...
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04/29/2019
DeLiO: Decoupled LiDAR Odometry
Most LiDAR odometry algorithms estimate the transformation between two c...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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05/09/2018
FlowFields++: Accurate Optical Flow Correspondences Meet Robust Interpolation
Optical Flow algorithms are of high importance for many applications. Re...
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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...
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10/27/2017