| AVA: A large-scale database for aesthetic visual analysis N Murray, L Marchesotti, F Perronnin 2012 IEEE conference on computer vision and pattern recognition, 2408-2415, 2012 | 939 | 2012 |
| Saliency estimation using a non-parametric low-level vision model N Murray, M Vanrell, X Otazu, CA Parraga CVPR 2011, 433-440, 2011 | 433 | 2011 |
| Generalized max pooling N Murray, F Perronnin Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 277 | 2014 |
| End-to-end saliency mapping via probability distribution prediction S Jetley, N Murray, E Vig Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 170 | 2016 |
| Virtual kitti 2 Y Cabon, N Murray, M Humenberger arXiv preprint arXiv:2001.10773, 2020 | 164 | 2020 |
| Revisiting the fisher vector for fine-grained classification PH Gosselin, N Murray, H Jégou, F Perronnin Pattern recognition letters 49, 92-98, 2014 | 156 | 2014 |
| Re-id done right: towards good practices for person re-identification J Almazan, B Gajic, N Murray, D Larlus arXiv preprint arXiv:1801.05339, 2018 | 109 | 2018 |
| Discovering beautiful attributes for aesthetic image analysis L Marchesotti, N Murray, F Perronnin International journal of computer vision 113, 246-266, 2015 | 99 | 2015 |
| Latent embeddings for word images and their semantics AG Soldevila, JA Almazán, N Murray, FC Perronnin US Patent 10,635,949, 2020 | 80 | 2020 |
| System and method for image color transfer based on target concepts S Skaff, N Murray, L Marchesotti, F Perronnin US Patent 8,553,045, 2013 | 57 | 2013 |
| End-to-end saliency mapping via probability distribution prediction S Jetley, N Murray, E Vig US Patent 9,830,529, 2017 | 53 | 2017 |
| A deep architecture for unified aesthetic prediction N Murray, A Gordo arXiv preprint arXiv:1708.04890, 2017 | 47 | 2017 |
| Kernelized few-shot object detection with efficient integral aggregation S Zhang, L Wang, N Murray, P Koniusz Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 43 | 2022 |
| Temporally-weighted hierarchical clustering for unsupervised action segmentation S Sarfraz, N Murray, V Sharma, A Diba, L Van Gool, R Stiefelhagen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 39 | 2021 |
| LEWIS: latent embeddings for word images and their semantics A Gordo, J Almazán, N Murray, F Perronin Proceedings of the IEEE International Conference on Computer Vision, 1242-1250, 2015 | 33 | 2015 |
| Interferences in match kernels N Murray, H Jégou, F Perronnin, A Zisserman IEEE transactions on pattern analysis and machine intelligence 39 (9), 1797-1810, 2016 | 31 | 2016 |
| Image selection based on photographic style N Murray, L Marchesotti US Patent 8,837,820, 2014 | 30 | 2014 |
| Low-level spatiochromatic grouping for saliency estimation N Murray, M Vanrell, X Otazu, CA Parraga IEEE transactions on pattern analysis and machine intelligence 35 (11), 2810 …, 2013 | 29 | 2013 |
| Toward automatic and flexible concept transfer N Murray, S Skaff, L Marchesotti, F Perronnin Computers & Graphics 36 (6), 622-634, 2012 | 24 | 2012 |
| Learning to rank images using semantic and aesthetic labels. N Murray, L Marchesotti, F Perronnin, F Meylan BMVC, 1-10, 2012 | 23 | 2012 |
