4D Panoptic LiDAR Segmentation M Aygun, A Osep, M Weber, M Maximov, C Stachniss, J Behley, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 88 | 2021 |
Apparent age estimation using ensemble of deep learning models RC Malli, M Aygün, HK Ekenel 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops …, 2016 | 82 | 2016 |
Multi Modal Convolutional Neural Networks for Brain Tumor Segmentation M Aygün, YH Şahin, G Ünal arXiv preprint arXiv:1809.06191, 2018 | 35 | 2018 |
Unsupervised dense shape correspondence using heat kernels M Aygün, Z Lähner, D Cremers 2020 International Conference on 3D Vision (3DV), 573-582, 2020 | 17 | 2020 |
Exploiting Convolution Filter Patterns for Transfer Learning M Aygün, Y Aytar, HK Ekenel International Conference on Computer Vision Workshops, 2017 | 17 | 2017 |
Demystifying unsupervised semantic correspondence estimation M Aygün, O Mac Aodha European Conference on Computer Vision, 125-142, 2022 | 9 | 2022 |
Saor: Single-view articulated object reconstruction M Aygun, O Mac Aodha Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 7 | 2024 |
Multi modal convolutional neural networks for brain tumor segmentation. arXiv M Aygün, YH Şahin, G Ünal arXiv preprint arXiv:1809.06191, 2018 | 5 | 2018 |
Enhancing 2D representation learning with a 3D prior M Aygun, P Dhar, Z Yan, O Mac Aodha, R Ranjan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
DepthCues: Evaluating Monocular Depth Perception in Large Vision Models D Danier, M Aygün, C Li, H Bilen, O Mac Aodha arXiv preprint arXiv:2411.17385, 2024 | | 2024 |