Follow
Osman Tursun
Title
Cited by
Cited by
Year
Metu dataset: A big dataset for benchmarking trademark retrieval
O Tursun, S Kalkan
2015 14th IAPR International Conference on Machine Vision Applications (MVA …, 2015
232015
A large-scale dataset and benchmark for similar trademark retrieval
O Tursun, C Aker, S Kalkan
arXiv preprint arXiv:1701.05766, 2017
212017
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
202019
Noisy Uyghur text normalization
O Tursun, R Cakıcı
Proceedings of the 3rd Workshop on Noisy User-generated Text, 85-93, 2017
162017
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, 2019
132019
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
92020
Analyzing deep features for trademark retrieval
C Aker, O Tursun, S Kalkan
2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017
82017
An efficient framework for zero-shot sketch-based image retrieval
O Tursun, S Denman, S Sridharan, E Goan, C Fookes
Pattern Recognition, 108528, 2022
62022
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
22021
Learning Test-time Augmentation for Content-based Image Retrieval
O Tursun, S Denman, S Sridharan, C Fookes
arXiv preprint arXiv:2002.01642, 2020
2*2020
Missing ingredients in optimising large-scale image retrieval with deep features
O Tursun
Queensland University of Technology, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–11