Jonathan Stonehouse

According to our database, Jonathan Stonehouse authored at least 5 papers between 2021 and 2026.

Collaborative distances:

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

2026

Mobile phone image-based framework for anti-copy pattern detection and classification.

Joseph Smith, Zheming Zuo, Jonathan Stonehouse, Boguslaw Obara

Array, 2026

2024

How Quality Affects Deep Neural Networks in Fine-Grained Image Classification.

Joseph Smith, Zheming Zuo, Jonathan Stonehouse, Boguslaw Obara

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

An Augmentation-Based Model Re-adaptation Framework for Robust Image Segmentation.

Zheming Zuo, Joseph Smith, Jonathan Stonehouse, Boguslaw Obara

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

Robust and Explainable Fine-Grained Visual Classification with Transfer Learning: A Dual-Carriageway Framework.

Zheming Zuo, Joseph Smith, Jonathan Stonehouse, Boguslaw Obara

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2021

Camera Bias in a Fine Grained Classification Task.

Philip T. G. Jackson, Stephen Bonner, Ning Jia, Christopher J. Holder, Jonathan Stonehouse, Boguslaw Obara

Proceedings of the International Joint Conference on Neural Networks, 2021