METU dataset: A big dataset for benchmarking trademark retrieval. - Osman Tursun; Sinan Kalkan (MVA, 2015)

Noisy Uyghur Text Normalization. - Osman Tursun; Ruken Cakici (NUT@EMNLP, 2017)

Analyzing deep features for trademark retrieval. - Cemal Aker; Osman Tursun; Sinan Kalkan (SIU, 2017)

A Large-scale Dataset and Benchmark for Similar Trademark Retrieval. - Osman Tursun; Cemal Aker; Sinan Kalkan (CoRR, 2017)

MTRNet: A Generic Scene Text Eraser. - Osman Tursun; Rui Zeng; Simon Denman; Sabesan Sivapalan; Sridha Sridharan; Clinton Fookes (ICDAR, 2019)

Enhancing Feature Invariance with Learned Image Transformations for Image Retrieval. - Osman Tursun; Simon Denman; Sridha Sridharan; Clinton Fookes (CoRR, 2020)

MTRNet++: One-stage mask-based scene text eraser. - Osman Tursun; Simon Denman; Rui Zeng; Sabesan Sivapalan; Sridha Sridharan; Clinton Fookes (Comput. Vis. Image Underst., 2020)

Learning Regional Attention Over Multi-Resolution Deep Convolutional Features For Trademark Retrieval. - Osman Tursun; Simon Denman; Sridha Sridharan; Clinton Fookes (ICIP, 2021)

SESS: Saliency Enhancing with Scaling and Sliding. - Osman Tursun; Simon Denman; Sridha Sridharan; Clinton Fookes (ECCV (12), 2022)

Learning test-time augmentation for content-based image retrieval. - Osman Tursun; Simon Denman; Sridha Sridharan; Clinton Fookes (Comput. Vis. Image Underst., 2022)

An efficient framework for zero-shot sketch-based image retrieval. - Osman Tursun; Simon Denman; Sridha Sridharan; Ethan Goan; Clinton Fookes (Pattern Recognit., 2022)

Component-Based Attention for Large-Scale Trademark Retrieval. - Osman Tursun; Simon Denman; Sabesan Sivapalan; Sridha Sridharan; Clinton Fookes; Sandra Mau (IEEE Trans. Inf. Forensics Secur., 2022)

Towards Self-Explainability of Deep Neural Networks with Heatmap Captioning and Large-Language Models. - Osman Tursun; Simon Denman; Sridha Sridharan; Clinton Fookes (CoRR, 2023)

Part-based Quantitative Analysis for Heatmaps. - Osman Tursun; Sinan Kalkan; Simon Denman; Sridha Sridharan; Clinton Fookes (CoRR, 2024)

TUMLU: A Unified and Native Language Understanding Benchmark for Turkic Languages. - Jafar Isbarov; Arofat Akhundjanova; Mammad Hajili; Kavsar Huseynova; Dmitry Gaynullin; Anar Rzayev; Osman Tursun; Aizirek Turdubaeva; Ilshat Saetov; Rinat Kharisov; Saule Belginova; Ariana Kenbayeva; et al. (ACL (1), 2025)

PDV: Prompt Directional Vectors for Zero-shot Composed Image Retrieval. - Osman Tursun; Sinan Kalkan; Simon Denman; Clinton Fookes (CoRR, 2025)