| Cross-modal search systems and methods D Larlus, J Almazan, C De Souza, N Murray, RS De Rezende US Patent App. 18/216,220, 2023 | | 2023 |
| Cross-modal search systems and methods D Larlus, J Almazan, C De Souza, N Murray, RS De Rezende US Patent 11,734,352, 2023 | | 2023 |
| Distilling self-supervised vision transformers for weakly-supervised few-shot classification & segmentation D Kang, P Koniusz, M Cho, N Murray Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 14 | 2023 |
| Dungeons and data: A large-scale nethack dataset E Hambro, R Raileanu, D Rothermel, V Mella, T Rocktäschel, H Küttler, ... Advances in Neural Information Processing Systems 35, 24864-24878, 2022 | 12 | 2022 |
| Time-reversed diffusion tensor transformer: A new tenet of few-shot object detection S Zhang, N Murray, L Wang, P Koniusz European Conference on Computer Vision, 310-328, 2022 | 21 | 2022 |
| Training and using an ensemble of complimentary convolutional neural networks for cross-domain retrieval of fashion item images N Murray, M Kucer US Patent 11,443,468, 2022 | | 2022 |
| 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 | 56 | 2022 |
| Training and using a convolutional neural network for person re-identification J Almazan, B Gajic, N Murray, D Larlus-Larrondo US Patent 11,138,469, 2021 | 30 | 2021 |
| Neural network for generating images trained with a generative adversarial network N Murray US Patent App. 17/024,030, 2021 | 7 | 2021 |
| Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation M Saquib Sarfraz, N Murray, V Sharma, A Diba, L Van Gool, ... arXiv e-prints, arXiv: 2103.11264, 2021 | | 2021 |
| 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 | 59 | 2021 |
| Unsupervised meta-domain adaptation for fashion retrieval V Sharma, N Murray, D Larlus, S Sarfraz, R Stiefelhagen, G Csurka Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 12 | 2021 |
| Generating human action videos by coupling 3d game engines and probabilistic graphical models CR De Souza, A Gaidon, Y Cabon, N Murray, AM López International Journal of Computer Vision 128 (5), 1505-1536, 2020 | 26 | 2020 |
| Latent embeddings for word images and their semantics AG Soldevila, JA Almazán, N Murray, FC Perronnin US Patent 10,635,949, 2020 | 109 | 2020 |
| Virtual kitti 2 Y Cabon, N Murray, M Humenberger arXiv preprint arXiv:2001.10773, 2020 | 228 | 2020 |
| PFAGAN: An aesthetics-conditional GAN for generating photographic fine art N Murray Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 8 | 2019 |
| A detect-then-retrieve model for multi-domain fashion item retrieval M Kucer, N Murray Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 26 | 2019 |
| 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 | 115 | 2018 |
| End-to-end saliency mapping via probability distribution prediction S Jetley, N Murray, E Vig US Patent 9,830,529, 2017 | 60 | 2017 |
| One-to-many matching with application to efficient privacy-preserving re-identification AG Soldevila, N Murray, FC Perronnin US Patent 9,762,393, 2017 | | 2017 |
