Sean Moran

According to our database, Sean Moran authored at least 21 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

DeepClean: Machine Unlearning on the Cheap by Resetting Privacy Sensitive Weights using the Fisher Diagonal.

Jiaeli Shi, Najah Ghalyan, Kostis Gourgoulias, John Buford, Sean Moran

CoRR, 2023

An Unsupervised Method for Estimating Class Separability of Datasets with Application to LLMs Fine-Tuning.

Najah Ghalyan, Kostis Gourgoulias, Yash Satsangi, Sean Moran, Maxime Labonne, Joseph Sabelja

CoRR, 2023

Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection.

Maxime Labonne, Sean Moran

CoRR, 2023

2022

Utility-Preserving Biometric Information Anonymization.

Bill Moriarty, Chun-Fu (Richard) Chen, Shaohan Hu, Sean Moran, Marco Pistoia, Vincenzo Piuri, Pierangela Samarati

Proceedings of the Computer Security - ESORICS 2022, 2022

2020

CURL: Neural Curve Layers for Global Image Enhancement.

Sean Moran, Steven McDonagh, Gregory G. Slabaugh

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Low Light Video Enhancement Using Synthetic Data Produced with an Intermediate Domain Mapping.

Danai Triantafyllidou, Sean Moran, Steven McDonagh, Sarah Parisot, Gregory G. Slabaugh

Proceedings of the Computer Vision - ECCV 2020, 2020

DeepLPF: Deep Local Parametric Filters for Image Enhancement.

Sean Moran, Pierre Marza, Steven McDonagh, Sarah Parisot, Gregory G. Slabaugh

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

DIFAR: Deep Image Formation and Retouching.

Sean Moran, Gregory G. Slabaugh

CoRR, 2019

NODE: Extreme Low Light Raw Image Denoising using a Noise Decomposition Network.

Hao Guan, Liu Liu, Sean Moran, Fenglong Song, Gregory G. Slabaugh

CoRR, 2019

2016

Learning to hash for large scale image retrieval.

Sean Moran

PhD thesis, 2016

Enhancing First Story Detection using Word Embeddings.

Sean Moran, Richard McCreadie, Craig Macdonald, Iadh Ounis

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Learning to Project and Binarise for Hashing Based Approximate Nearest Neighbour Search.

Sean Moran

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

2015

Regularised Cross-Modal Hashing.

Sean Moran, Victor Lavrenko

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Graph Regularised Hashing.

Sean Moran, Victor Lavrenko

Proceedings of the Advances in Information Retrieval, 2015

2014

A sparse kernel relevance model for automatic image annotation.

Sean Moran, Victor Lavrenko

Int. J. Multim. Inf. Retr., 2014

Sparse Kernel Learning for Image Annotation.

Sean Moran, Victor Lavrenko

Proceedings of the International Conference on Multimedia Retrieval, 2014

Real-Time Detection, Tracking, and Monitoring of Automatically Discovered Events in Social Media.

Miles Osborne, Sean Moran, Richard McCreadie, Alexander von Lünen, Martin D. Sykora, Amparo Elizabeth Cano, Neil Ireson, Craig Macdonald, Iadh Ounis, Yulan He, Tom Jackson, Fabio Ciravegna, Ann O'Brien

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Neighbourhood preserving quantisation for LSH.

Sean Moran, Victor Lavrenko, Miles Osborne

Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Variable Bit Quantisation for LSH.

Sean Moran, Victor Lavrenko, Miles Osborne

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2011

Optimal Tag Sets for Automatic Image Annotation.

Sean Moran, Victor Lavrenko

Proceedings of the British Machine Vision Conference, 2011

2004

Robust Fusion of Colour Appearance Models for Object Tracking.

Christopher Town, Sean Moran

Proceedings of the British Machine Vision Conference, 2004