Martin Weinmann

Orcid: 0000-0002-8654-7546

According to our database1, Martin Weinmann authored at least 35 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024.
CoRR, 2023

Terrestrial Visual Dust Density Estimation Based On Deep Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

DustNet: Attention to Dust.
Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

2022
Random Topology and Random Multiscale Mapping: An Automated Design of Multiscale and Lightweight Neural Network for Remote-Sensing Image Recognition.
IEEE Trans. Geosci. Remote. Sens., 2022

Glacier Monitoring Based on Multi-Spectral and Multi-Temporal Satellite Data: A Case Study for Classification with Respect to Different Snow and Ice Types.
Remote. Sens., 2022

Beyond single receptive field: A receptive field fusion-and-stratification network for airborne laser scanning point cloud classification.
CoRR, 2022

3GAN: A Three-GAN-based Approach for Image Inpainting Applied to the Reconstruction of Occluded Parts of Building Walls.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022

2021
Automated High-Resolution Earth Observation Image Interpretation: Outcome of the 2020 Gaofen Challenge.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

ReS2tAC - UAV-Borne Real-Time SGM Stereo Optimized for Embedded ARM and CUDA Devices.
Sensors, 2021

Pose Normalization of Indoor Mapping Datasets Partially Compliant with the Manhattan World Assumption.
Remote. Sens., 2021

FaSS-MVS - Fast Multi-View Stereo with Surface-Aware Semi-Global Matching from UAV-borne Monocular Imagery.
CoRR, 2021

Pose Normalization of Indoor Mapping Datasets Partially Compliant to the Manhattan World Assumption.
CoRR, 2021

Real-time dense 3D Reconstruction from monocular video data captured by low-cost UAVs.
CoRR, 2021

FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery.
CoRR, 2021

Optical Remote Sensing for Glacier Monitoring with Respect to Different Snow and Ice Types: A Case Study for the Southern Patagonian Icefield.
Proceedings of the 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2021

2020
Evaluation of HoloLens Tracking and Depth Sensing for Indoor Mapping Applications.
Sensors, 2020

Self-Supervised Learning for Monocular Depth Estimation from Aerial Imagery.
CoRR, 2020

Voxel-Based Indoor Reconstruction From HoloLens Triangle Meshes.
CoRR, 2020

Superpoints in RANSAC Planes: A New Approach for Ground Surface Extraction Exemplified on Point Classification and Context-aware Reconstruction.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020

2019
Automatic Extrinsic Self-Calibration of Mobile Mapping Systems Based on Geometric 3D Features.
Remote. Sens., 2019

Efficient Surface-Aware Semi-Global Matching with Multi-View Plane-Sweep Sampling.
CoRR, 2019

Automatic Co-Registration of Aerial Imagery and Untextured Model Data Utilizing Average Shading Gradients.
CoRR, 2019

Urban Scene Labeling Based on Multi-Modal Data Acquired from Aerial Sensor Platforms.
Proceedings of the Joint Urban Remote Sensing Event, 2019

2018
Geospatial Computer Vision Based on Multi-Modal Data - How Valuable Is Shape Information for the Extraction of Semantic Information?
Remote. Sens., 2018

Unsupervised Feature Selection Based on Ultrametricity and Sparse Training Data: A Case Study for the Classification of High-Dimensional Hyperspectral Data.
Remote. Sens., 2018

Deep cross-domain building extraction for selective depth estimation from oblique aerial imagery.
CoRR, 2018

Land-Cover and Land-Use Classification Based on Multitemporal Sentinel-2 Data.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Deep Semantic Segmentation of Aerial Imagery Based on Multi-Modal Data.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
A Classification-Segmentation Framework for the Detection of Individual Trees in Dense MMS Point Cloud Data Acquired in Urban Areas.
Remote. Sens., 2017

mdBRIEF - a fast online-adaptable, distorted binary descriptor for real-time applications using calibrated wide-angle or fisheye cameras.
Comput. Vis. Image Underst., 2017

Comparison of belief propagation and graph-cut approaches for contextual classification of 3D lidar point cloud data.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Investigation of the impact of dimensionality reduction and feature selection on the classification of hyperspectral EnMAP data.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

Reconstruction and Analysis of 3D Scenes - From Irregularly Distributed 3D Points to Object Classes
Springer, ISBN: 978-3-319-29246-5, 2016

2015
Distinctive 2D and 3D features for automated large-scale scene analysis in urban areas.
Comput. Graph., 2015

2013
Visual Features - From Early Concepts to Modern Computer Vision.
Proceedings of the Advanced Topics in Computer Vision, 2013


  Loading...