| An object-based convolutional neural network (OCNN) for urban land use classification C Zhang, I Sargent, X Pan, H Li, A Gardiner, J Hare, PM Atkinson Remote sensing of environment 216, 57-70, 2018 | 456 | 2018 |
| Joint Deep Learning for land cover and land use classification C Zhang, I Sargent, X Pan, H Li, A Gardiner, J Hare, PM Atkinson Remote sensing of environment 221, 173-187, 2019 | 431 | 2019 |
| A hybrid MLP-CNN classifier for very fine resolution remotely sensed image classification C Zhang, X Pan, H Li, A Gardiner, I Sargent, J Hare, PM Atkinson ISPRS Journal of Photogrammetry and Remote Sensing 140, 133-144, 2018 | 406 | 2018 |
| T-rex: A large scale alignment of natural language with knowledge base triples H Elsahar, P Vougiouklis, A Remaci, C Gravier, J Hare, F Laforest, ... Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 350 | 2018 |
| Mind the gap: Another look at the problem of the semantic gap in image retrieval JS Hare, PH Lewis, PGB Enser, CJ Sandom Multimedia Content Analysis, Management, and Retrieval 2006 6073, 75-86, 2006 | 271 | 2006 |
| Learning to count objects in natural images for visual question answering Y Zhang, J Hare, A Prügel-Bennett arXiv preprint arXiv:1802.05766, 2018 | 250 | 2018 |
| Analyzing and predicting sentiment of images on the social web S Siersdorfer, E Minack, F Deng, J Hare Proceedings of the 18th ACM international conference on Multimedia, 715-718, 2010 | 250 | 2010 |
| Privacy-aware image classification and search S Zerr, S Siersdorfer, J Hare, E Demidova Proceedings of the 35th international ACM SIGIR conference on Research and …, 2012 | 183 | 2012 |
| Fmix: Enhancing mixed sample data augmentation E Harris, A Marcu, M Painter, M Niranjan, A Prügel-Bennett, J Hare arXiv preprint arXiv:2002.12047, 2020 | 162 | 2020 |
| Deep cascade learning ES Marquez, JS Hare, M Niranjan IEEE transactions on neural networks and learning systems 29 (11), 5475-5485, 2018 | 151 | 2018 |
| Deep set prediction networks Y Zhang, J Hare, A Prugel-Bennett Advances in Neural Information Processing Systems 32, 2019 | 124 | 2019 |
| Bridging the semantic gap in multimedia information retrieval: Top-down and bottom-up approaches JS Hare, PAS Sinclair, PH Lewis, K Martinez, PGB Enser, CJ Sandom Mastering the Gap: From Information Extraction to Semantic Representation …, 2006 | 115 | 2006 |
| Facing the reality of semantic image retrieval PGB Enser, CJ Sandom, JS Hare, PH Lewis Journal of documentation 63 (4), 465-481, 2007 | 109 | 2007 |
| Fspool: Learning set representations with featurewise sort pooling Y Zhang, J Hare, A Prügel-Bennett arXiv preprint arXiv:1906.02795, 2019 | 92 | 2019 |
| OpenIMAJ and ImageTerrier: Java libraries and tools for scalable multimedia analysis and indexing of images JS Hare, S Samangooei, DP Dupplaw Proceedings of the 19th ACM international conference on Multimedia, 691-694, 2011 | 92 | 2011 |
| Neural wikipedian: Generating textual summaries from knowledge base triples P Vougiouklis, H Elsahar, LA Kaffee, C Gravier, F Laforest, J Hare, ... Journal of Web Semantics 52, 1-15, 2018 | 90 | 2018 |
| VPRS-based regional decision fusion of CNN and MRF classifications for very fine resolution remotely sensed images C Zhang, I Sargent, X Pan, A Gardiner, J Hare, PM Atkinson IEEE Transactions on Geoscience and Remote Sensing 56 (8), 4507-4521, 2018 | 90 | 2018 |
| Salient regions for query by image content JS Hare, PH Lewis International Conference on Image and Video Retrieval, 317-325, 2004 | 62 | 2004 |
| Content-based image retrieval using a mobile device as a novel interface JS Hare, PH Lewis Storage and Retrieval Methods and Applications for Multimedia 2005 5682, 64-75, 2005 | 60 | 2005 |
| On image retrieval using salient regions with vector-spaces and latent semantics JS Hare, PH Lewis International Conference on Image and Video Retrieval, 540-549, 2005 | 57 | 2005 |
Paul LewisProfessor of Computer Science, University of SouthamptonAdresse e-mail validée de ecs.soton.ac.uk
