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09/12/2023
HOC-Search: Efficient CAD Model and Pose Retrieval from RGB-D Scans
We present an automated and efficient approach for retrieving high-quali...
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08/28/2023
S-TREK: Sequential Translation and Rotation Equivariant Keypoints for local feature extraction
In this work we introduce S-TREK, a novel local feature extractor that c...
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07/05/2023
GAFAR: Graph-Attention Feature-Augmentation for Registration A Fast and Light-weight Point Set Registration Algorithm
Rigid registration of point clouds is a fundamental problem in computer ...
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12/22/2022
Automatically Annotating Indoor Images with CAD Models via RGB-D Scans
We present an automatic method for annotating images of indoor scenes wi...
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12/13/2022
DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo
We propose a novel approach for deep learning-based Multi-View Stereo (M...
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09/14/2022
FCDSN-DC: An Accurate and Lightweight Convolutional Neural Network for Stereo Estimation with Depth Completion
We propose an accurate and lightweight convolutional neural network for ...
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08/10/2022
MD-Net: Multi-Detector for Local Feature Extraction
Establishing a sparse set of keypoint correspon dences between images is...
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07/07/2022
MCTS with Refinement for Proposals Selection Games in Scene Understanding
We propose a novel method applicable in many scene understanding problem...
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11/30/2021
PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images
Most state-of-the-art instance segmentation methods produce binary segme...
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11/29/2021
IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions
We present a novel deep-learning-based method for Multi-View Stereo. Our...
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11/22/2021
Depth-aware Object Segmentation and Grasp Detection for Robotic Picking Tasks
In this paper, we present a novel deep neural network architecture for j...
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07/12/2021
End-to-end Trainable Deep Neural Network for Robotic Grasp Detection and Semantic Segmentation from RGB
In this work, we introduce a novel, end-to-end trainable CNN-based archi...
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03/20/2021
MonteFloor: Extending MCTS for Reconstructing Accurate Large-Scale Floor Plans
We propose a novel method for reconstructing floor plans from noisy 3D p...
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03/14/2021
Monte Carlo Scene Search for 3D Scene Understanding
We explore how a general AI algorithm can be used for 3D scene understan...
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10/23/2020
BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo
In this work, we propose BP-MVSNet, a convolutional neural network (CNN)...
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10/14/2020
FC-DCNN: A densely connected neural network for stereo estimation
We propose a novel lightweight network for stereo estimation. Our networ...
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07/24/2020
Machine-learned Regularization and Polygonization of Building Segmentation Masks
We propose a machine learning based approach for automatic regularizatio...
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07/24/2020
Map-Repair: Deep Cadastre Maps Alignment and Temporal Inconsistencies Fix in Satellite Images
In the fast developing countries it is hard to trace new buildings const...
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07/23/2020
Regularization of Building Boundaries in Satellite Images using Adversarial and Regularized Losses
In this paper we present a method for building boundary refinement and r...
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07/21/2020
Relative Pose Estimation for Multi-Camera Systems from Affine Correspondences
We propose four novel solvers for estimating the relative pose of a mult...
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03/13/2020
Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems
It has been proposed by many researchers that combining deep neural netw...
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01/07/2020
General 3D Room Layout from a Single View by Render-and-Compare
We present a novel method to reconstruct the 3D layout of a room – walls...
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12/23/2019
Minimal Solutions for Relative Pose with a Single Affine Correspondence
In this paper we present four cases of minimal solutions for two-view re...
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12/01/2019
DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction
Deep Neural Networks (DNNs) have the potential to improve the quality of...
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04/29/2019
Casting Geometric Constraints in Semantic Segmentation as Semi-Supervised Learning
We propose a simple yet effective method to learn to segment new indoor ...
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12/27/2018
S4-Net: Geometry-Consistent Semi-Supervised Semantic Segmentation
We show that it is possible to learn semantic segmentation from very lim...
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08/14/2018
Buildings Detection in VHR SAR Images Using Fully Convolution Neural Networks
This paper addresses the highly challenging problem of automatically det...
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05/09/2018
Deep 2.5D Vehicle Classification with Sparse SfM Depth Prior for Automated Toll Systems
Automated toll systems rely on proper classification of the passing vehi...
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05/03/2018
Evaluation of CNN-based Single-Image Depth Estimation Methods
While an increasing interest in deep models for single-image depth estim...
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03/22/2018
Prioritized Multi-View Stereo Depth Map Generation Using Confidence Prediction
In this work, we propose a novel approach to prioritize the depth map co...
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10/11/2017
Deep learning in remote sensing: a review
Standing at the paradigm shift towards data-intensive science, machine l...
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05/02/2017
Scalable Surface Reconstruction from Point Clouds with Extreme Scale and Density Diversity
In this paper we present a scalable approach for robustly computing a 3D...
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04/18/2016