| Mtrnet: A generic scene text eraser O Tursun, R Zeng, S Denman, S Sivapalan, S Sridharan, C Fookes 2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019 | 61 | 2019 |
| An efficient framework for zero-shot sketch-based image retrieval O Tursun, S Denman, S Sridharan, E Goan, C Fookes Pattern Recognition 126, 108528, 2022 | 53 | 2022 |
| MTRNet++: One-stage mask-based scene text eraser O Tursun, S Denman, R Zeng, S Sivapalan, S Sridharan, C Fookes Computer Vision and Image Understanding 201, 103066, 2020 | 46 | 2020 |
| A large-scale dataset and benchmark for similar trademark retrieval O Tursun, C Aker, S Kalkan arXiv preprint arXiv:1701.05766, 2017 | 30 | 2017 |
| Component-based attention for large-scale trademark retrieval O Tursun, S Denman, S Sivapalan, S Sridharan, C Fookes, S Mau IEEE Transactions on Information Forensics and Security 17, 2350-2363, 2019 | 27 | 2019 |
| Metu dataset: A big dataset for benchmarking trademark retrieval O Tursun, S Kalkan 2015 14th IAPR international conference on machine vision applications (MVA …, 2015 | 27 | 2015 |
| Noisy Uyghur text normalization O Tursun, RC Akici Proceedings of the 3rd Workshop on Noisy User-generated Text, 85-93, 2017 | 20 | 2017 |
| Analyzing deep features for trademark retrieval C Aker, O Tursun, S Kalkan 2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017 | 10 | 2017 |
| Towards self-explainability of deep neural networks with heatmap captioning and large-language models O Tursun, S Denman, S Sridharan, C Fookes arXiv preprint arXiv:2304.02202, 2023 | 6 | 2023 |
| Learning regional attention over multi-resolution deep convolutional features for trademark retrieval O Tursun, S Denman, S Sridharan, C Fookes 2021 IEEE international conference on image processing (ICIP), 2393-2397, 2021 | 5 | 2021 |
| Sess: Saliency enhancing with scaling and sliding O Tursun, S Denman, S Sridharan, C Fookes European Conference on Computer Vision, 318-333, 2022 | 4 | 2022 |
| Learning test-time augmentation for content-based image retrieval O Tursun, S Denman, S Sridharan, C Fookes Computer Vision and Image Understanding 222, 103494, 2022 | 4* | 2022 |
| Part-based Quantitative Analysis for Heatmaps O Tursun, S Kalkan, S Denman, S Sridharan, C Fookes arXiv preprint arXiv:2405.13264, 2024 | | 2024 |
| Missing ingredients in optimising large-scale image retrieval with deep features O Tursun Queensland University of Technology, 2022 | | 2022 |
| Marka ErisimiIçin Derin ÖzniteliklerinIncelenmesi Analyzing Deep Features for Trademark Retrieval C Aker, O Tursun, S Kalkan Proceedings of the 2017 25th Signal Processing and Communications …, 2017 | | 2017 |
| Supplementary Material: SESS: Saliency Enhancing with Scaling and Sliding O Tursun, S Denman, S Sridharan, C Fookes | | |
Simon DenmanQueensland University of TechnologyEmail verificata su qut.edu.au