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Osman Tursun
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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 (ICDARá…, 2019
532019
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
442022
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
392020
A large-scale dataset and benchmark for similar trademark retrieval
O Tursun, C Aker, S Kalkan
arXiv preprint arXiv:1701.05766, 2017
292017
Metu dataset: A big dataset for benchmarking trademark retrieval
O Tursun, S Kalkan
2015 14th IAPR international conference on machine vision applications (MVAá…, 2015
272015
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
262019
Noisy Uyghur text normalization
O Tursun, RC Akici
Proceedings of the 3rd Workshop on Noisy User-generated Text, 85-93, 2017
202017
Analyzing deep features for trademark retrieval
C Aker, O Tursun, S Kalkan
2017 25th Signal Processing and Communications Applications Conference (SIUá…, 2017
102017
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
52021
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
42023
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
Sess: Saliency enhancing with scaling and sliding
O Tursun, S Denman, S Sridharan, C Fookes
European Conference on Computer Vision, 318-333, 2022
32022
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 ErisimiIšin Derin ÍzniteliklerinIncelenmesi Analyzing Deep Features for Trademark Retrieval
C Aker, O Tursun, S Kalkan
Proceedings of the 2017 25th Signal Processing and Communicationsá…, 2017
2017
Supplementary Material: SESS: Saliency Enhancing with Scaling and Sliding
O Tursun, S Denman, S Sridharan, C Fookes
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Articles 1–16