Search Results for author: Zakaria Laskar

Found 8 papers, 2 papers with code

Digging Into Self-Supervised Learning of Feature Descriptors

no code implementations10 Oct 2021 Iaroslav Melekhov, Zakaria Laskar, Xiaotian Li, Shuzhe Wang, Juho Kannala

Fully-supervised CNN-based approaches for learning local image descriptors have shown remarkable results in a wide range of geometric tasks.

Image-Based Localization Image Retrieval +2

Continual Learning for Image-Based Camera Localization

1 code implementation ICCV 2021 Shuzhe Wang, Zakaria Laskar, Iaroslav Melekhov, Xiaotian Li, Juho Kannala

For several emerging technologies such as augmented reality, autonomous driving and robotics, visual localization is a critical component.

Autonomous Driving Camera Localization +2

Data-Efficient Ranking Distillation for Image Retrieval

no code implementations10 Jul 2020 Zakaria Laskar, Juho Kannala

In low training sample settings, our approach outperforms the fully supervised approach on two challenging image retrieval datasets, ROxford5k and RParis6k \cite{Roxf} with the least possible teacher supervision.

Image Retrieval Knowledge Distillation +1

Geometric Image Correspondence Verification by Dense Pixel Matching

no code implementations15 Apr 2019 Zakaria Laskar, Iaroslav Melekhov, Hamed R. -Tavakoli, Juha Ylioinas, Juho Kannala

The main contribution is a geometric correspondence verification approach for re-ranking a shortlist of retrieved database images based on their dense pair-wise matching with the query image at a pixel level.

Image Retrieval Re-Ranking +1

Semi-Supervised Semantic Matching

no code implementations24 Jan 2019 Zakaria Laskar, Juho Kannala

Convolutional neural networks (CNNs) have been successfully applied to solve the problem of correspondence estimation between semantically related images.

Semantic Matching by Weakly Supervised 2D Point Set Registration

no code implementations24 Jan 2019 Zakaria Laskar, Hamed R. -Tavakoli, Juho Kannala

The problem is posed as finding the geometric transformation that aligns a given image pair.

Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network

no code implementations31 Jul 2017 Zakaria Laskar, Iaroslav Melekhov, Surya Kalia, Juho Kannala

The camera location for the query image is obtained via triangulation from two relative translation estimates using a RANSAC based approach.

Camera Relocalization Pose Estimation

Context Aware Query Image Representation for Particular Object Retrieval

1 code implementation3 Mar 2017 Zakaria Laskar, Juho Kannala

Particularly, we show that by making the CNN pay attention on the ROI while extracting query image representation leads to significant improvement over the baseline methods on challenging Oxford5k and Paris6k datasets.

Image Retrieval

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