| The visual object tracking vot2015 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, ... Proceedings of the IEEE international conference on computer vision …, 2015 | 2792* | 2015 |
| Good features to correlate for visual tracking E Gundogdu, AA Alatan IEEE Transactions on Image Processing 27 (5), 2526-2540, 2018 | 184 | 2018 |
| Abo: Dataset and benchmarks for real-world 3d object understanding J Collins, S Goel, K Deng, A Luthra, L Xu, E Gundogdu, X Zhang, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 171 | 2022 |
| The visual object tracking vot2016 challenge results G Roffo, S Melzi Computer Vision--ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016 | 169* | 2016 |
| Garnet: A two-stream network for fast and accurate 3d cloth draping E Gundogdu, V Constantin, A Seifoddini, M Dang, M Salzmann, P Fua Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 143 | 2019 |
| Marvel: A large-scale image dataset for maritime vessels E Gundogdu, B Solmaz, V Yücesoy, A Koc Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei …, 2017 | 104 | 2017 |
| Revamping cross-modal recipe retrieval with hierarchical transformers and self-supervised learning A Salvador, E Gundogdu, L Bazzani, M Donoser Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 75 | 2021 |
| Shape reconstruction by learning differentiable surface representations J Bednarik, S Parashar, E Gundogdu, M Salzmann, P Fua Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 53 | 2020 |
| Comparison of infrared and visible imagery for object tracking: Toward trackers with superior ir performance E Gundogdu, H Ozkan, H Seckin Demir, H Ergezer, E Akagunduz, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 52 | 2015 |
| Evaluation of feature channels for correlation-filter-based visual object tracking in infrared spectrum E Gundogdu, A Koc, B Solmaz, RI Hammoud, A Aydin Alatan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 47 | 2016 |
| Garnet++: Improving fast and accurate static 3d cloth draping by curvature loss E Gundogdu, V Constantin, S Parashar, A Seifoddini, M Dang, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (1), 181-195, 2020 | 39 | 2020 |
| Sparse representation of two-and three-dimensional images with fractional Fourier, Hartley, linear canonical, and Haar wavelet transforms A Koç, B Bartan, E Gundogdu, T Çukur, HM Ozaktas Expert Systems with Applications 77, 247-255, 2017 | 31 | 2017 |
| Spatial windowing for correlation filter based visual tracking E Gundogdu, AA Alatan 2016 IEEE International Conference on Image Processing (ICIP), 1684-1688, 2016 | 25 | 2016 |
| Fine‐grained recognition of maritime vessels and land vehicles by deep feature embedding B Solmaz, E Gundogdu, V Yucesoy, A Koc, AA Alatan IET Computer Vision 12 (8), 1121-1132, 2018 | 22 | 2018 |
| Object classification in infrared images using deep representations E Gundogdu, A Koc, AA Alatan 2016 IEEE International Conference on Image Processing (ICIP), 1066-1070, 2016 | 22 | 2016 |
| Generic and attribute-specific deep representations for maritime vessels B Solmaz, E Gundogdu, V Yucesoy, A Koc IPSJ Transactions on Computer Vision and Applications 9 (1), 22, 2017 | 15 | 2017 |
| Extending correlation filter-based visual tracking by tree-structured ensemble and spatial windowing E Gundogdu, H Ozkan, AA Alatan IEEE Transactions on Image Processing 26 (11), 5270-5283, 2017 | 14 | 2017 |
| Deep distance metric learning for maritime vessel identification E Gundogdu, B Solmaz, A Koç, V Yücesoy, AA Alatan 2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017 | 11 | 2017 |
| iedit: Localised text-guided image editing with weak supervision R Bodur, E Gundogdu, B Bhattarai, TK Kim, M Donoser, L Bazzani Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 9 | 2024 |
| Contrastive language-action pre-training for temporal localization M Xu, E Gundogdu, M Lapin, B Ghanem, M Donoser, L Bazzani arXiv preprint arXiv:2204.12293, 2022 | 7 | 2022 |
A. Aydin AlatanDept. of EE Eng., Center for Image Analysis (OGAM), METUEmail verificata su metu.edu.tr