Vasileios Balntas
Vasileios Balntas
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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
Learning local feature descriptors with triplets and shallow convolutional neural networks.
V Balntas, E Riba, D Ponsa, K Mikolajczyk
Bmvc 1 (2), 3, 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
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
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
Calibrated structured prediction
V Kuleshov, PS Liang
Advances in Neural Information Processing Systems 28, 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
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
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
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
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
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
Binary Online Learned Descriptors
V Balntas, HL Tang, K Mikolajczyk
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017
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
“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
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
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
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
Project Aria: A new tool for egocentric multi-modal AI research
K Somasundaram, J Dong, H Tang, J Straub, M Yan, M Goesele, JJ Engel, ...
arXiv preprint arXiv:2308.13561, 2023
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
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