Iaroslav Melekhov
Iaroslav Melekhov
Doctoral candidate, Aalto University
Verified email at aalto.fi - Homepage
Title
Cited by
Cited by
Year
Relative camera pose estimation using convolutional neural networks
I Melekhov, J Ylioinas, J Kannala, E Rahtu
International Conference on Advanced Concepts for Intelligent Vision Systems …, 2017
742017
Siamese Network Features for Image Matching
I Melekhov, J Kannala, E Rahtu
International Conference on Pattern Recognition, 2016
582016
Image-based localization using hourglass networks
I Melekhov, J Ylioinas, J Kannala, E Rahtu
Proceedings of the IEEE International Conference on Computer Vision …, 2017
512017
Camera relocalization by computing pairwise relative poses using convolutional neural network
Z Laskar, I Melekhov, S Kalia, J Kannala
Proceedings of the IEEE International Conference on Computer Vision …, 2017
432017
Image Patch Matching Using Convolutional Descriptors with Euclidean Distance
I Melekhov, J Kannala, E Rahtu
Asian Conference on Computer Vision (Workshop on Interpretation and …, 2016
162016
Dgc-net: Dense geometric correspondence network
I Melekhov, A Tiulpin, T Sattler, M Pollefeys, E Rahtu, J Kannala
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1034-1042, 2019
102019
Geometric image correspondence verification by dense pixel matching
Z Laskar, I Melekhov, HR Tavakoli, J Ylioinas, J Kannala
The IEEE Winter Conference on Applications of Computer Vision, 2521-2530, 2020
52020
KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks
A Tiulpin, I Melekhov, S Saarakkala
Proceedings of the IEEE International Conference on Computer Vision …, 2019
22019
Bayesian feature pyramid networks for automatic multi-label segmentation of chest X-rays and assessment of cardio-thoratic ratio
R Solovyev, I Melekhov, T Lesonen, E Vaattovaara, O Tervonen, A Tiulpin
International Conference on Advanced Concepts for Intelligent Vision Systems …, 2020
12020
Deep Learning Methods for Image Matching and Camera Relocalization
I Melekhov
Aalto University, 2020
2020
TC-Net: Self-Supervised Monocular Video Scene Understanding Using Temporally Consistent Geometric Prior
I Melekhov, E Rahtu, J Kannala, A Kendall
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Articles 1–11