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Theodora Kontogianni
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Year
Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds
T Kontogianni*, F Engelmann*, A Hermans, B Leibe
Proceedings of the IEEE International Conference on Computer Vision, 3DRMS …, 2017
314*2017
Dilated point convolutions: On the receptive field size of point convolutions on 3d point clouds
F Engelmann, T Kontogianni, B Leibe
2020 IEEE International Conference on Robotics and Automation (ICRA), 9463-9469, 2020
140*2020
Know what your neighbors do: 3D semantic segmentation of point clouds
F Engelmann, T Kontogianni, J Schult, B Leibe
Proceedings of the European Conference on Computer Vision (ECCV), 0-0, 2018
1252018
DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes
J Schult, F Engelmann, T Kontogianni, B Leibe
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020., 2020
942020
3D-BEVIS: Bird's-Eye-View Instance Segmentation
C Elich, F Engelmann, T Kontogianni, B Leibe
German Conference on Pattern Recognition, 48-61, 2019
672019
Continuous adaptation for interactive object segmentation by learning from corrections
T Kontogianni, M Gygli, J Uijlings, V Ferrari
European Conference on Computer Vision, 579-596, 2020
572020
Connecting the Dots: Floorplan Reconstruction Using Two-Level Queries
Y Yue, T Kontogianni, K Schindler, F Engelmann
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023, 2022
262022
Interactive Object Segmentation in 3D Point Clouds
T Kontogianni, E Celikkan, S Tang, K Schindler
Proc. International Conference on Robotics and Automation (ICRA), 2023., 2022
182022
AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation
Y Yue, S Mahadevan, J Schult, F Engelmann, B Leibe, K Schindler, ...
International Conference on Learning Representations (ICLR), 2024
152024
Towards accurate instance segmentation in large-scale LiDAR point clouds
B Xiang, T Peters, T Kontogianni, F Vetterli, S Puliti, R Astrup, K Schindler
ISPRS Annals - Geospatial Week, Laser Scanning Workshop; arXiv preprint …, 2023
62023
Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning
B Xiang, M Wielgosz, T Kontogianni, T Peters, S Puliti, R Astrup, ...
Remote Sensing of Environment 305, 114078, 2024
42024
Using interactive object segmentation to derive avalanche outlines from webcam imagery
E Hafner, L Oberson, T Kontogianni, R Caye Daudt, JD Wegner, ...
EGU General Assembly Conference Abstracts, EGU-10867, 2023
22023
Is Continual Learning Ready for Real-world Challenges?
T Kontogianni, Y Yue, S Tang, K Schindler
arXiv preprint arXiv:2402.10130, 2024
12024
Incremental Object Discovery in Time-Varying Image Collections
T Kontogianni, M Mathias, B Leibe
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
12016
Interactive4D: Interactive 4D LiDAR Segmentation
I Fradlin, IE Zulfikar, K Yilmaz, T Kontogianni, B Leibe
arXiv preprint arXiv:2410.08206, 2024
2024
Interactive snow avalanche segmentation from webcam imagery: results, potential, and limitations
ED Hafner, T Kontogianni, R Caye Daudt, L Oberson, JD Wegner, ...
The Cryosphere 18 (8), 3807-3823, 2024
2024
Object discovery, interactive and 3D segmentation for large-scale computer vision tasks
T Kontogianni
Ph.D. Thesis, RWTH Aachen, 2021
2021
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Articles 1–17