| Deeplpf: Deep local parametric filters for image enhancement S Moran, P Marza, S McDonagh, S Parisot, G Slabaugh Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 237 | 2020 |
| Real-time detection, tracking, and monitoring of automatically discovered events in social media M Osborne, S Moran, R McCreadie, A Von Lunen, M Sykora, E Cano, ... Proceedings of 52nd annual meeting of the association for computational …, 2014 | 126 | 2014 |
| Curl: Neural curve layers for global image enhancement S Moran, S McDonagh, G Slabaugh 2020 25th International Conference on Pattern Recognition (ICPR), 9796-9803, 2021 | 61 | 2021 |
| Sparse kernel learning for image annotation S Moran, V Lavrenko Proceedings of international conference on multimedia retrieval, 113-120, 2014 | 47 | 2014 |
| Low light video enhancement using synthetic data produced with an intermediate domain mapping D Triantafyllidou, S Moran, S McDonagh, S Parisot, G Slabaugh Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 44 | 2020 |
| Enhancing first story detection using word embeddings S Moran, R McCreadie, C Macdonald, I Ounis Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016 | 40 | 2016 |
| A sparse kernel relevance model for automatic image annotation S Moran, V Lavrenko International Journal of Multimedia Information Retrieval 3 (4), 209-229, 2014 | 35 | 2014 |
| Variable bit quantisation for lsh S Moran, V Lavrenko, M Osborne Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 35 | 2013 |
| Neighbourhood preserving quantisation for lsh S Moran, V Lavrenko, M Osborne Proceedings of the 36th international ACM SIGIR conference on research and …, 2013 | 21 | 2013 |
| Spam-t5: Benchmarking large language models for few-shot email spam detection M Labonne, S Moran arXiv preprint arXiv:2304.01238, 2023 | 20 | 2023 |
| Regularised cross-modal hashing S Moran, V Lavrenko Proceedings of the 38th International ACM SIGIR Conference on Research and …, 2015 | 20 | 2015 |
| Optimal Tag Sets for Automatic Image S Moran, V Lavrenko | 18* | |
| Senatus: a fast and accurate code-to-code recommendation engine F Silavong, S Moran, A Georgiadis, R Saphal, R Otter Proceedings of the 19th International Conference on Mining Software …, 2022 | 10 | 2022 |
| Image processor S Moran, G Slabaugh US Patent App. 17/480,308, 2022 | 9 | 2022 |
| Using the Grid for Satellite Imagery with UNOSAT S Moran, PM Lorenzo Internal UNOSAT-CERN report, 2005 | 9 | 2005 |
| Optimal kernel shape and bandwidth for atomistic support of continuum stress MH Ulz, SJ Moran Modelling and Simulation in Materials Science and Engineering 21 (8), 085017, 2013 | 8 | 2013 |
| Automatic image tagging S Moran | 8 | 2009 |
| NODE: Extreme Low Light Raw Image Denoising using a Noise Decomposition Network G Hao, L Liu, M Sean, S Fenglong, S Gregory | 7 | 2019 |
| A Gaussian mixture modelling approach to the data-driven estimation of atomistic support for continuum stress MH Ulz, SJ Moran Modelling and Simulation in Materials Science and Engineering 20 (6), 065009, 2012 | 7 | 2012 |
| Real-time detection, tracking, and monitoring of automatically discovered events in social media.(2014) M Osborne, S Moran, R McCreadie, A Von Lunen, MD Sykora, E Cano, ... Google Scholar Google Scholar Cross Ref Cross Ref, 2014 | 6 | 2014 |
Greg SlabaughProfessor, and Director of DERI, Queen Mary University of Londonqmul.ac.uk의 이메일 확인됨