| 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 | 178 | 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 | 164 | 2016 |
| 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 | 108 | 2016 |
| 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 | 71 | 2015 |
| 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 | 44 | 2018 |
| 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 | 39 | 2016 |
| 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 | 37 | 2017 |
| 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 Conference on Computer Vision and Pattern …, 2019 | 29 | 2019 |
| Binary Online Learned Descriptors V Balntas, HL Tang, K Mikolajczyk IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017 | 23 | 2017 |
| Early diagnosis of Alzheimer’s type dementia using continuous speech recognition V Baldas, C Lampiris, C Capsalis, D Koutsouris International Conference on Wireless Mobile Communication and Healthcare …, 2010 | 21 | 2010 |
| “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 | 19 | 2013 |
| A real-time automatic instrument tracking system on cataract surgery videos for dexterity assessment V Baldas, L Tang, P Bountris, G Saleh, D Koutsouris Proceedings of the 10th IEEE International Conference on Information …, 2010 | 8 | 2010 |
| Learning deep convolutional embeddings for face representation using joint sample-and set-based supervision B Gecer, V Balntas, TK Kim Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 5 | 2017 |
| 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 | 4 | 2020 |
| Efficient learning of local image descriptors V Balntas University of Surrey, 2016 | 3 | 2016 |
| DAME WEB: DynAmic MEan with Whitening Ensemble Binarization for Landmark Retrieval without Human Annotation TY Yang, D Kien Nguyen, H Heijnen, V Balntas Proceedings of the IEEE International Conference on Computer Vision …, 2019 | 2 | 2019 |
| D2D: Keypoint Extraction with Describe to Detect Approach Y Tian, V Balntas, T Ng, A Barroso-Laguna, Y Demiris, K Mikolajczyk arXiv preprint arXiv:2005.13605, 2020 | 1 | 2020 |
| 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 International Conference on Computer Vision …, 2019 | 1 | 2019 |
| Convolutional neural networks predict fish abundance from underlying coral reef texture G Young, V Balntas, V Prisacariu MarXiv, 2018 | 1 | 2018 |
| Improving object tracking with voting from false positive detections V Balntas, L Tang, K Mikolajczyk 2014 22nd International Conference on Pattern Recognition, 1928-1933, 2014 | 1 | 2014 |
Krystian MikolajczykAssociate Professor, Imperial College LondonVerified email at imperial.ac.uk
