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Mehmet Aygun
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2020 – today
- 2024
- [c8]Mehmet Aygün, Prithviraj Dhar, Zhicheng Yan, Oisin Mac Aodha, Rakesh Ranjan:
Enhancing 2D Representation Learning with a 3D Prior. CVPR Workshops 2024: 7750-7760 - [c7]Mehmet Aygün, Oisin Mac Aodha:
SAOR: Single-View Articulated Object Reconstruction. CVPR 2024: 10382-10391 - [i9]Mehmet Aygün, Prithviraj Dhar, Zhicheng Yan, Oisin Mac Aodha, Rakesh Ranjan:
Enhancing 2D Representation Learning with a 3D Prior. CoRR abs/2406.02535 (2024) - [i8]Duolikun Danier, Mehmet Aygün, Changjian Li, Hakan Bilen, Oisin Mac Aodha:
DepthCues: Evaluating Monocular Depth Perception in Large Vision Models. CoRR abs/2411.17385 (2024) - 2023
- [i7]Mehmet Aygün, Oisin Mac Aodha:
SAOR: Single-View Articulated Object Reconstruction. CoRR abs/2303.13514 (2023) - 2022
- [c6]Mehmet Aygün, Oisin Mac Aodha:
Demystifying Unsupervised Semantic Correspondence Estimation. ECCV (30) 2022: 125-142 - [c5]Firat Öncel
, Mehmet Aygün
, Gulcin Baykal
, Gozde Unal
:
UGQE: Uncertainty Guided Query Expansion. ICPRAI (1) 2022: 109-120 - [i6]Mehmet Aygün, Oisin Mac Aodha:
Demystifying Unsupervised Semantic Correspondence Estimation. CoRR abs/2207.05054 (2022) - 2021
- [c4]Mehmet Aygun, Aljosa Osep, Mark Weber, Maxim Maximov, Cyrill Stachniss
, Jens Behley
, Laura Leal-Taixé:
4D Panoptic LiDAR Segmentation. CVPR 2021: 5527-5537 - [i5]Mehmet Aygün, Aljosa Osep, Mark Weber, Maxim Maximov, Cyrill Stachniss, Jens Behley, Laura Leal-Taixé:
4D Panoptic LiDAR Segmentation. CoRR abs/2102.12472 (2021) - 2020
- [c3]Mehmet Aygün, Zorah Lähner
, Daniel Cremers
:
Unsupervised Dense Shape Correspondence using Heat Kernels. 3DV 2020: 573-582 - [i4]Mehmet Aygün, Zorah Lähner, Daniel Cremers:
Unsupervised Dense Shape Correspondence using Heat Kernels. CoRR abs/2010.12682 (2020)
2010 – 2019
- 2018
- [i3]Mehmet Aygün, Yusuf Huseyin Sahin, Gözde B. Ünal:
Multi Modal Convolutional Neural Networks for Brain Tumor Segmentation. CoRR abs/1809.06191 (2018) - 2017
- [c2]Mehmet Aygun, Yusuf Aytar, Hazim Kemal Ekenel
:
Exploiting Convolution Filter Patterns for Transfer Learning. ICCV Workshops 2017: 2674-2680 - [i2]Mehmet Aygün, Yusuf Aytar, Hazim Kemal Ekenel:
Exploiting Convolution Filter Patterns for Transfer Learning. CoRR abs/1708.06973 (2017) - 2016
- [c1]Refik Can Malli, Mehmet Aygun, Hazim Kemal Ekenel
:
Apparent Age Estimation Using Ensemble of Deep Learning Models. CVPR Workshops 2016: 714-721 - [i1]Refik Can Malli, Mehmet Aygun, Hazim Kemal Ekenel:
Apparent Age Estimation Using Ensemble of Deep Learning Models. CoRR abs/1606.02909 (2016)
Coauthor Index
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last updated on 2025-01-02 18:15 CET by the dblp team
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