Vedhus Hoskere

Orcid: 0000-0003-2118-5975

According to our database1, Vedhus Hoskere authored at least 16 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
ViewDelta: Text-Prompted Change Detection in Unaligned Images.
CoRR, 2024

Multiclass Post-Earthquake Building Assessment Integrating Optical and SAR Satellite Imagery, Ground Motion, and Soil Data with Transformers.
CoRR, 2024

Instance Segmentation of Reinforced Concrete Bridges with Synthetic Point Clouds.
CoRR, 2024

Vision-Based Adaptive Robotics for Autonomous Surface Crack Repair.
CoRR, 2024

View-Invariant Pixelwise Anomaly Detection in Multi-object Scenes with Adaptive View Synthesis.
CoRR, 2024

2023
Post Disaster Damage Assessment Using Ultra-High-Resolution Aerial Imagery with Semi-Supervised Transformers.
Sensors, October, 2023

Unpaired image-to-image translation of structural damage.
Adv. Eng. Informatics, April, 2023

Deep Learning Hydrodynamic Forecasting for Flooded Region Assessment in Near-Real-Time (DL Hydro-FRAN).
CoRR, 2023

2022
Physics-Based Graphics Models in 3D Synthetic Environments as Autonomous Vision-Based Inspection Testbeds.
Sensors, 2022

2020
Vision-based automated bridge component recognition with high-level scene consistency.
Comput. Aided Civ. Infrastructure Eng., 2020

2018
Towards Automated Post-Earthquake Inspections with Deep Learning-based Condition-Aware Models.
CoRR, 2018

Automated Bridge Component Recognition using Video Data.
CoRR, 2018

Automated Vision-based Bridge Component Extraction Using Multiscale Convolutional Neural Networks.
CoRR, 2018

Vision-based Automated Bridge Component Recognition Integrated With High-level Scene Understanding.
CoRR, 2018

Vision-based Structural Inspection using Multiscale Deep Convolutional Neural Networks.
CoRR, 2018

2017
Cross-Correlation-Based Structural System Identification Using Unmanned Aerial Vehicles.
Sensors, 2017


  Loading...