| HPatches: A benchmark and evaluation of handcrafted and learned local descriptors V Balntas, K Lenc, A Vedaldi, K Mikolajczyk Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 934 | 2017 |
| Learning local feature descriptors with triplets and shallow convolutional neural networks. V Balntas, E Riba, D Ponsa, K Mikolajczyk Bmvc 1 (2), 3, 2016 | 716 | 2016 |
| Sosnet: Second order similarity regularization for local descriptor learning Y Tian, X Yu, B Fan, F Wu, H Heijnen, V Balntas Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 417 | 2019 |
| RelocNet: Continous Metric Learning Relocalisation using Neural Nets V Balntas, S Li, V Prisacariu Proceedings of the European Conference on Computer Vision (ECCV), 751-767, 2018 | 266 | 2018 |
| PN-Net: Conjoined triple deep network for learning local image descriptors V Balntas, E Johns, L Tang, K Mikolajczyk arXiv preprint arXiv:1601.05030, 2016 | 223 | 2016 |
| Calibrated structured prediction V Kuleshov, PS Liang Advances in Neural Information Processing Systems 28, 2015 | 221* | 2015 |
| SOLAR: second-order loss and attention for image retrieval T Ng, V Balntas, Y Tian, K Mikolajczyk Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 144 | 2020 |
| Bold-binary online learned descriptor for efficient image matching V Balntas, L Tang, K Mikolajczyk Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 100 | 2015 |
| Pose guided RGBD feature learning for 3D object pose estimation V Balntas, A Doumanoglou, C Sahin, J Sock, R Kouskouridas, TK Kim Proceedings of the IEEE international conference on computer vision, 3856-3864, 2017 | 90 | 2017 |
| D2D: Keypoint extraction with describe to detect approach Y Tian, V Balntas, T Ng, A Barroso-Laguna, Y Demiris, K Mikolajczyk Proceedings of the Asian conference on computer vision, 2020 | 82 | 2020 |
| Orienternet: Visual localization in 2d public maps with neural matching PE Sarlin, D DeTone, TY Yang, A Avetisyan, J Straub, T Malisiewicz, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 73 | 2023 |
| Project aria: A new tool for egocentric multi-modal ai research J Engel, K Somasundaram, M Goesele, A Sun, A Gamino, A Turner, ... arXiv preprint arXiv:2308.13561, 2023 | 67 | 2023 |
| Siamese regression networks with efficient mid-level feature extraction for 3d object pose estimation A Doumanoglou, V Balntas, R Kouskouridas, TK Kim arXiv preprint arXiv:1607.02257, 2016 | 59 | 2016 |
| Ur2kid: Unifying retrieval, keypoint detection, and keypoint description without local correspondence supervision TY Yang, DK Nguyen, H Heijnen, V Balntas arXiv preprint arXiv:2001.07252, 2020 | 41 | 2020 |
| Binary Online Learned Descriptors V Balntas, HL Tang, K Mikolajczyk IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017 | 38 | 2017 |
| “PhacoTracking”: an evolving paradigm in ophthalmic surgical training P Smith, L Tang, V Balntas, K Young, Y Athanasiadis, P Sullivan, ... JAMA ophthalmology 131 (5), 659-661, 2013 | 38 | 2013 |
| Early diagnosis of Alzheimer’s type dementia using continuous speech recognition V Baldas, C Lampiris, C Capsalis, D Koutsouris Wireless Mobile Communication and Healthcare: Second International ICST …, 2011 | 37 | 2011 |
| Unsupervised extraction of local image descriptors via relative distance ranking loss X Yu, Y Tian, F Porikli, R Hartley, H Li, H Heijnen, V Balntas Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 28 | 2019 |
| Ninjadesc: content-concealing visual descriptors via adversarial learning T Ng, HJ Kim, VT Lee, D DeTone, TY Yang, T Shen, E Ilg, V Balntas, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 27 | 2022 |
| Reassessing the limitations of cnn methods for camera pose regression T Ng, A Lopez-Rodriguez, V Balntas, K Mikolajczyk arXiv preprint arXiv:2108.07260, 2021 | 23 | 2021 |
Krystian MikolajczykProfessor, Imperial College London在 imperial.ac.uk 的电子邮件经过验证