3 citations · 6 across the 4 of their papers we have counts for
7 papers
Digging Into Self-Supervised Learning of Feature Descriptors
Iaroslav Melekhov, Zakaria Laskar, Xiaotian Li +2
Fully-supervised CNN-based approaches for learning local image descriptors have shown remarkable results in a wide range of geometric tasks. However, most of them require per-pixel…
Data-Efficient Ranking Distillation for Image Retrieval
Zakaria Laskar, Juho Kannala
Recent advances in deep learning has lead to rapid developments in the field of image retrieval. However, the best performing architectures incur significant computational cost. Re…
Geometric Image Correspondence Verification by Dense Pixel Matching
Zakaria Laskar, Iaroslav Melekhov, Hamed R. Tavakoli +2
This paper addresses the problem of determining dense pixel correspondences between two images and its application to geometric correspondence verification in image retrieval. The…
Semantic Matching by Weakly Supervised 2D Point Set Registration
Zakaria Laskar, Hamed R. Tavakoli, Juho Kannala
In this paper we address the problem of establishing correspondences between different instances of the same object. The problem is posed as finding the geometric transformation th…
Semi-Supervised Semantic Matching
Zakaria Laskar, Juho Kannala
Convolutional neural networks (CNNs) have been successfully applied to solve the problem of correspondence estimation between semantically related images. Due to non-availability o…
Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network
Zakaria Laskar, Iaroslav Melekhov, Surya Kalia +1
We propose a new deep learning based approach for camera relocalization. Our approach localizes a given query image by using a convolutional neural network (CNN) for first retrievi…