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ORCIDYusuf Huseyin Sahin
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Journal Articles
- 2022
[j1]Yusuf Huseyin Sahin
, Alican Mertan, Gozde Unal:
ODFNet: Using orientation distribution functions to characterize 3D point clouds. Comput. Graph. 102: 610-618 (2022)
Conference and Workshop Papers
- 2024
- [c9]Batuhan Cengiz, Mert Gülsen, Yusuf Huseyin Sahin, Gozde Unal:
∊-Mesh Attack: A Surface-based Adversarial Point Cloud Attack for Facial Expression Recognition. FG 2024: 1-9 - 2023
- [c8]Yusuf Huseyin Sahin, Elvin Abdinli, M. Arda Aydin, Gozde Unal:
TinyPedSeg: A Tiny Pedestrian Segmentation Benchmark for Top-Down Drone Images. MVA 2023: 1-5 - 2021
- [c7]Mustafa Cem Günes, Alican Mertan, Yusuf Hüseyin Sahin, Gozde Unal, Mine Özkar:
Synthesizing Point Cloud Data Set for Historical Dome Systems. CAAD Futures 2021: 538-554 - [c6]Ufuk Demir, Atahan Ozer, Yusuf Huseyin Sahin, Gozde Unal:
Uncertainty-Based Dynamic Graph Neighborhoods for Medical Segmentation. PRIME@MICCAI 2021: 255-265 - 2020
- [c5]Alican Mertan, Yusuf Huseyin Sahin, Damien Jade Duff, Gozde Unal:
A New Distributional Ranking Loss With Uncertainty: Illustrated in Relative Depth Estimation. 3DV 2020: 1079-1088 - 2019
- [c4]Salih Can Yurtkulu, Yusuf Hüseyin Sahin, Gözde B. Ünal:
Semantic Segmentation with Extended DeepLabv3 Architecture. SIU 2019: 1-4 - 2018
- [c3]Sahin Olut, Yusuf Huseyin Sahin, Ugur Demir, Gözde B. Ünal:
Generative Adversarial Training for MRA Image Synthesis Using Multi-contrast MRI. PRIME@MICCAI 2018: 147-154 - [c2]Ridvan Sirma, Berkan Dinar, Yusuf Huseyin Sahin, Gozde B. Unal:
A convolutional neural networks oriented approach for voxel-based 3D object classification. SIU 2018: 1-4 - 2017
- [c1]Yusuf Huseyin Sahin, Gözde B. Ünal:
Cerebral vessel classification with convolutional neural networks. SIU 2017: 1-4
Informal and Other Publications
- 2024
- [i9]Batuhan Cengiz, Mert Gulsen, Yusuf Huseyin Sahin, Gozde Unal:
epsilon-Mesh Attack: A Surface-based Adversarial Point Cloud Attack for Facial Expression Recognition. CoRR abs/2403.06661 (2024) - [i8]Mert Gulsen, Batuhan Cengiz, Yusuf Huseyin Sahin, Gozde Unal:
PCLD: Point Cloud Layerwise Diffusion for Adversarial Purification. CoRR abs/2403.06698 (2024) - 2022
- [i7]Sevgi Altun, Mustafa Cem Günes, Yusuf Huseyin Sahin, Alican Mertan, Gozde Unal, Mine Özkar:
Symmetry and Variance: Generative Parametric Modelling of Historical Brick Wall Patterns. CoRR abs/2210.12856 (2022) - 2021
- [i6]Ufuk Demir, Atahan Ozer, Yusuf Huseyin Sahin, Gozde Unal:
Uncertainty-Based Dynamic Graph Neighborhoods For Medical Segmentation. CoRR abs/2108.03117 (2021) - 2020
- [i5]Vahit Bugra Yesilkaynak, Yusuf Huseyin Sahin, Gozde B. Unal:
EfficientSeg: An Efficient Semantic Segmentation Network. CoRR abs/2009.06469 (2020) - [i4]Alican Mertan, Yusuf Huseyin Sahin, Damien Jade Duff, Gözde B. Ünal:
A New Distributional Ranking Loss With Uncertainty: Illustrated in Relative Depth Estimation. CoRR abs/2010.07091 (2020) - [i3]Yusuf Huseyin Sahin, Alican Mertan, Gözde B. Ünal:
ODFNet: Using orientation distribution functions to characterize 3D point clouds. CoRR abs/2012.04708 (2020) - 2018
- [i2]Sahin Olut, Yusuf Huseyin Sahin, Ugur Demir, Gözde B. Ünal:
Generative Adversarial Training for MRA Image Synthesis Using Multi-Contrast MRI. CoRR abs/1804.04366 (2018) - [i1]Mehmet Aygün, Yusuf Huseyin Sahin, Gözde B. Ünal:
Multi Modal Convolutional Neural Networks for Brain Tumor Segmentation. CoRR abs/1809.06191 (2018)
Coauthor Index
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