Osman Tursun

According to our database, Osman Tursun authored at least 14 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Part-based Quantitative Analysis for Heatmaps.

Osman Tursun, Sinan Kalkan, Simon Denman, Sridha Sridharan, Clinton Fookes

CoRR, 2024

2023

Towards Self-Explainability of Deep Neural Networks with Heatmap Captioning and Large-Language Models.

Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes

CoRR, 2023

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

An efficient framework for zero-shot sketch-based image retrieval.

Osman Tursun, Simon Denman, Sridha Sridharan, Ethan Goan, Clinton Fookes

Pattern Recognit., 2022

Learning test-time augmentation for content-based image retrieval.

Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes

Comput. Vis. Image Underst., 2022

SESS: Saliency Enhancing with Scaling and Sliding.

Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Learning Regional Attention Over Multi-Resolution Deep Convolutional Features For Trademark Retrieval.

Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

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

Enhancing Feature Invariance with Learned Image Transformations for Image Retrieval.

Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes

CoRR, 2020

2019

MTRNet: A Generic Scene Text Eraser.

Osman Tursun, Rui Zeng, Simon Denman, Sabesan Sivapalan, Sridha Sridharan, Clinton Fookes

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

2017

A Large-scale Dataset and Benchmark for Similar Trademark Retrieval.

Osman Tursun, Cemal Aker, Sinan Kalkan

CoRR, 2017

Analyzing deep features for trademark retrieval.

Cemal Aker, Osman Tursun, Sinan Kalkan

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Noisy Uyghur Text Normalization.

Osman Tursun, Ruken Cakici

Proceedings of the 3rd Workshop on Noisy User-generated Text, 2017

2015

METU dataset: A big dataset for benchmarking trademark retrieval.

Osman Tursun, Sinan Kalkan

Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015