Theodora Kontogianni

Orcid: 0000-0002-8754-8356

According to our database1, Theodora Kontogianni authored at least 16 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Is Continual Learning Ready for Real-world Challenges?
CoRR, 2024

2023
Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning.
CoRR, 2023

Towards accurate instance segmentation in large-scale LiDAR point clouds.
CoRR, 2023

AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation.
CoRR, 2023

Interactive Object Segmentation in 3D Point Clouds.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Connecting the Dots: Floorplan Reconstruction Using Two-Level Queries.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Object discovery, interactive and 3D segmentation for large-scale computer vision tasks / Theodora Kontogianni ; Bastian Leibe, Konrad Schindler.
PhD thesis, 2022

2020
Dilated Point Convolutions: On the Receptive Field Size of Point Convolutions on 3D Point Clouds.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections.
Proceedings of the Computer Vision - ECCV 2020, 2020

DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Dilated Point Convolutions: On the Receptive Field of Point Convolutions.
CoRR, 2019

3D-BEVIS: Birds-Eye-View Instance Segmentation.
CoRR, 2019

3D Bird's-Eye-View Instance Segmentation.
Proceedings of the Pattern Recognition, 2019

2018
Know What Your Neighbors Do: 3D Semantic Segmentation of Point Clouds.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
Incremental Object Discovery in Time-Varying Image Collections.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016


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