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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...
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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...
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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...
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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...
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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...
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Illumination Normalization by Partially Impossible Encoder-Decoder Cost Function
Images recorded during the lifetime of computer vision based systems und...
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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...
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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...
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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...
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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...
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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...
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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 ...
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SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation
Interpolation of sparse pixel information towards a dense target resolut...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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Rapid Light Field Depth Estimation with Semi-Global Matching
Running time of the light field depth estimation algorithms is typically...
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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...
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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...
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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...
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DeLiO: Decoupled LiDAR Odometry
Most LiDAR odometry algorithms estimate the transformation between two c...
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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...
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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...
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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...
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Surface Defect Classification in Real-Time Using Convolutional Neural Networks
Surface inspection systems are an important application domain for compu...
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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...
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Learning Quadrangulated Patches For 3D Shape Processing
We propose a system for surface completion and inpainting of 3D shapes u...
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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...
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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...
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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...
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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...
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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...
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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 ...
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FlowFields++: Accurate Optical Flow Correspondences Meet Robust Interpolation
Optical Flow algorithms are of high importance for many applications. Re...
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Fast Feature Extraction with CNNs with Pooling Layers
In recent years, many publications showed that convolutional neural netw...
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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 ...
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Fast View Synthesis with Deep Stereo Vision
Novel view synthesis is an important problem in computer vision and grap...
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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...
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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...
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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...
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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...
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SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences
While most scene flow methods use either variational optimization or a s...
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Scalable Dense Monocular Surface Reconstruction
This paper reports on a novel template-free monocular non-rigid surface ...
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