Didier Stricker

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Professor in computer science at the University of Kaiserslautern and Scientific Director at the German Research Center for Artificial Intelligence (DFKI GmbH) in Kaiserslautern since 2008.

RPSRNet: End-to-End Trainable Rigid Point Set Registration Network using Barnes-Hut 2^D-Tree Representation

We propose RPSRNet - a novel end-to-end trainable deep neural network fo...
04/12/2021 ∙ by Sk Aziz Ali, et al. ∙ 0 ∙ share

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PlaneSegNet: Fast and Robust Plane Estimation Using a Single-stage Instance Segmentation CNN

Instance segmentation of planar regions in indoor scenes benefits visual...
03/29/2021 ∙ by Yaxu Xie, et al. ∙ 6 ∙ share

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TICaM: A Time-of-flight In-car Cabin Monitoring Dataset

We present TICaM, a Time-of-flight In-car Cabin Monitoring dataset for v...
03/22/2021 ∙ by Jigyasa Singh Katrolia, et al. ∙ 0 ∙ share

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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...
02/22/2021 ∙ by Dennis Stumpf, et al. ∙ 5 ∙ share

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A Survey on Synchronous Augmented, Virtual and Mixed Reality Remote Collaboration Systems

Remote collaboration systems have become increasingly important in today...
02/11/2021 ∙ by Alexander Schäfer, et al. ∙ 20 ∙ share

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Illumination Normalization by Partially Impossible Encoder-Decoder Cost Function

Images recorded during the lifetime of computer vision based systems und...
11/06/2020 ∙ by Steve Dias Da Cruz, et al. ∙ 7 ∙ share

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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...
11/03/2020 ∙ by René Schuster, et al. ∙ 11 ∙ share

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SLAM in the Field: An Evaluation of Monocular Mapping and Localization on Challenging Dynamic Agricultural Environment

This paper demonstrates a system capable of combining a sparse, indirect...
11/02/2020 ∙ by Fangwen Shu, et al. ∙ 0 ∙ share

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

Contrary to the ongoing trend in automotive applications towards usage o...
10/21/2020 ∙ by René Schuster, et al. ∙ 0 ∙ share

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HPERL: 3D Human Pose Estimation from RGB and LiDAR

In-the-wild human pose estimation has a huge potential for various field...
10/16/2020 ∙ by Michael Fürst, et al. ∙ 0 ∙ share

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Fast Gravitational Approach for Rigid Point Set Registration with Ordinary Differential Equations

This article introduces a new physics-based method for rigid point set a...
09/28/2020 ∙ by Sk Aziz Ali, et al. ∙ 0 ∙ share

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A survey on applications of augmented, mixed and virtual reality for nature and environment

Augmented reality (AR), virtual reality (VR) and mixed reality (MR) are ...
08/27/2020 ∙ by Jason Rambach, et al. ∙ 0 ∙ share

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SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation

Interpolation of sparse pixel information towards a dense target resolut...
08/21/2020 ∙ by René Schuster, et al. ∙ 0 ∙ share

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Generative View Synthesis: From Single-view Semantics to Novel-view Images

Content creation, central to applications such as virtual reality, can b...
08/20/2020 ∙ by Tewodros Habtegebrial, et al. ∙ 6 ∙ share

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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...
08/18/2020 ∙ by Rishav, et al. ∙ 0 ∙ share

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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...
06/22/2020 ∙ by Rishav, et al. ∙ 0 ∙ share

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LRPD: Long Range 3D Pedestrian Detection Leveraging Specific Strengths of LiDAR and RGB

While short range 3D pedestrian detection is sufficient for emergency br...
06/17/2020 ∙ by Michael Fürst, et al. ∙ 0 ∙ share

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Object Detection and Recognition of Swap-Bodies using Camera mounted on a Vehicle

Object detection and identification is a challenging area of computer vi...
04/17/2020 ∙ by Ebin Zacharias, et al. ∙ 0 ∙ share

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HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation from a Single Depth Map

3D hand shape and pose estimation from a single depth map is a new and c...
04/03/2020 ∙ by Jameel Malik, et al. ∙ 0 ∙ share

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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...
01/28/2020 ∙ by Hartmut Feld, et al. ∙ 0 ∙ share

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SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark

We release SVIRO, a synthetic dataset for sceneries in the passenger com...
01/10/2020 ∙ by Steve Dias Da Cruz, et al. ∙ 12 ∙ share

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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...
10/31/2019 ∙ by Ramy Battrawy, et al. ∙ 16 ∙ share

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Intrinsic Dynamic Shape Prior for Fast, Sequential and Dense Non-Rigid Structure from Motion with Detection of Temporally-Disjoint Rigidity

While dense non-rigid structure from motion (NRSfM) has been extensively...
09/05/2019 ∙ by Vladislav Golyanik, et al. ∙ 0 ∙ share

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Rapid Light Field Depth Estimation with Semi-Global Matching

Running time of the light field depth estimation algorithms is typically...
07/31/2019 ∙ by Yuriy Anisimov, et al. ∙ 4 ∙ share

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A Compact Light Field Camera for Real-Time Depth Estimation

Depth cameras are utilized in many applications. Recently light field ap...
07/25/2019 ∙ by Yuriy Anisimov, et al. ∙ 3 ∙ share

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DispVoxNets: Non-Rigid Point Set Alignment with Supervised Learning Proxies

We introduce a supervised-learning framework for non-rigid point set ali...
07/24/2019 ∙ by Soshi Shimada, et al. ∙ 0 ∙ share

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Structure from Articulated Motion: An Accurate and Stable Monocular 3D Reconstruction Approach without Training Data

Recovery of articulated 3D structure from 2D observations is a challengi...
05/12/2019 ∙ by Onorina Kovalenko, et al. ∙ 0 ∙ share

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DeLiO: Decoupled LiDAR Odometry

Most LiDAR odometry algorithms estimate the transformation between two c...
04/29/2019 ∙ by Queens Maria Thomas, et al. ∙ 0 ∙ share

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IsMo-GAN: Adversarial Learning for Monocular Non-Rigid 3D Reconstruction

The majority of the existing methods for non-rigid 3D surface regression...
04/27/2019 ∙ by Soshi Shimada, et al. ∙ 0 ∙ share

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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...
04/12/2019 ∙ by René Schuster, et al. ∙ 0 ∙ share

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

In the last few years, convolutional neural networks (CNNs) have demonst...
04/12/2019 ∙ by Rohan Saxena, et al. ∙ 8 ∙ share

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Surface Defect Classification in Real-Time Using Convolutional Neural Networks

Surface inspection systems are an important application domain for compu...
04/07/2019 ∙ by Selim Arikan, et al. ∙ 2 ∙ share

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

Dense pixel matching is important for many computer vision tasks such as...
04/05/2019 ∙ by René Schuster, et al. ∙ 8 ∙ share

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Learning Quadrangulated Patches For 3D Shape Processing

We propose a system for surface completion and inpainting of 3D shapes u...
03/25/2019 ∙ by Kripasindhu Sarkar, et al. ∙ 10 ∙ share

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Structured 2D Representation of 3D Data for Shape Processing

We represent 3D shape by structured 2D representations of fixed length m...
03/25/2019 ∙ by Kripasindhu Sarkar, et al. ∙ 0 ∙ share

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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...
02/26/2019 ∙ by René Schuster, et al. ∙ 6 ∙ share

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Automated Scene Flow Data Generation for Training and Verification

Scene flow describes the 3D position as well as the 3D motion of each pi...
08/30/2018 ∙ by Oliver Wasenmüller, et al. ∙ 0 ∙ share

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Dense Scene Flow from Stereo Disparity and Optical Flow

Scene flow describes 3D motion in a 3D scene. It can either be modeled a...
08/30/2018 ∙ by René Schuster, et al. ∙ 0 ∙ share

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DeepHPS: End-to-end Estimation of 3D Hand Pose and Shape by Learning from Synthetic Depth

Articulated hand pose and shape estimation is an important problem for v...
08/28/2018 ∙ by Jameel Malik, et al. ∙ 0 ∙ share

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Learning 3D Shapes as Multi-Layered Height-maps using 2D Convolutional Networks

We present a novel global representation of 3D shapes, suitable for the ...
07/23/2018 ∙ by Kripasindhu Sarkar, et al. ∙ 2 ∙ share

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FlowFields++: Accurate Optical Flow Correspondences Meet Robust Interpolation

Optical Flow algorithms are of high importance for many applications. Re...
05/09/2018 ∙ by René Schuster, et al. ∙ 0 ∙ share

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Fast Feature Extraction with CNNs with Pooling Layers

In recent years, many publications showed that convolutional neural netw...
05/08/2018 ∙ by Christian Bailer, et al. ∙ 0 ∙ share

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Fast and Efficient Depth Map Estimation from Light Fields

The paper presents an algorithm for depth map estimation from the light ...
05/01/2018 ∙ by Yuriy Anisimov, et al. ∙ 0 ∙ share

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Fast View Synthesis with Deep Stereo Vision

Novel view synthesis is an important problem in computer vision and grap...
04/25/2018 ∙ by Tewodros Habtegebrial, et al. ∙ 2 ∙ share

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HDM-Net: Monocular Non-Rigid 3D Reconstruction with Learned Deformation Model

Monocular dense 3D reconstruction of deformable objects is a hard ill-po...
03/27/2018 ∙ by Vladislav Golyanik, et al. ∙ 0 ∙ share

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Combining Stereo Disparity and Optical Flow for Basic Scene Flow

Scene flow is a description of real world motion in 3D that contains mor...
01/15/2018 ∙ by René Schuster, et al. ∙ 0 ∙ share

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Accurate 3D Reconstruction of Dynamic Scenes from Monocular Image Sequences with Severe Occlusions

The paper introduces an accurate solution to dense orthographic Non-Rigi...
12/20/2017 ∙ by Vladislav Golyanik, et al. ∙ 0 ∙ share

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Simultaneous Hand Pose and Skeleton Bone-Lengths Estimation from a Single Depth Image

Articulated hand pose estimation is a challenging task for human-compute...
12/08/2017 ∙ by Jameel Malik, et al. ∙ 0 ∙ share

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SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences

While most scene flow methods use either variational optimization or a s...
10/27/2017 ∙ by René Schuster, et al. ∙ 0 ∙ share

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Scalable Dense Monocular Surface Reconstruction

This paper reports on a novel template-free monocular non-rigid surface ...
10/17/2017 ∙ by Mohammad Dawud Ansari, et al. ∙ 0 ∙ share

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Didier Stricker

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