Search Results for author: Iaroslav Melekhov

Found 14 papers, 4 papers with code

Leveraging Road Area Semantic Segmentation with Auxiliary Steering Task

no code implementations19 Dec 2022 Jyri Maanpää, Iaroslav Melekhov, Josef Taher, Petri Manninen, Juha Hyyppä

Robustness of different pattern recognition methods is one of the key challenges in autonomous driving, especially when driving in the high variety of road environments and weather conditions, such as gravel roads and snowfall.

Autonomous Driving Semantic Segmentation +1

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 +3

Independent Component Alignment for Multi-task Learning

no code implementations29 Sep 2021 Dmitry Senushkin, Iaroslav Melekhov, Mikhail Romanov, Anton Konushin, Juho Kannala, Arno Solin

We present a novel gradient-based multi-task learning (MTL) approach that balances training in multi-task systems by aligning the independent components of the training objective.

Camera Relocalization Multi-Label Image Classification +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

Multimodal End-to-End Learning for Autonomous Steering in Adverse Road and Weather Conditions

no code implementations28 Oct 2020 Jyri Maanpää, Josef Taher, Petri Manninen, Leo Pakola, Iaroslav Melekhov, Juha Hyyppä

Autonomous driving is challenging in adverse road and weather conditions in which there might not be lane lines, the road might be covered in snow and the visibility might be poor.

Autonomous Driving

Image Stylization for Robust Features

no code implementations16 Aug 2020 Iaroslav Melekhov, Gabriel J. Brostow, Juho Kannala, Daniyar Turmukhambetov

Local features that are robust to both viewpoint and appearance changes are crucial for many computer vision tasks.

Autonomous Driving Image Stylization +1

KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks

4 code implementations29 Jul 2019 Aleksei Tiulpin, Iaroslav Melekhov, Simo Saarakkala

This paper addresses the challenge of localization of anatomical landmarks in knee X-ray images at different stages of osteoarthritis (OA).

Transfer Learning

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 +2

Image Patch Matching Using Convolutional Descriptors with Euclidean Distance

no code implementations31 Oct 2017 Iaroslav Melekhov, Juho Kannala, Esa Rahtu

In this work we propose a neural network based image descriptor suitable for image patch matching, which is an important task in many computer vision applications.

object-detection Object Detection +1

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

Image-based Localization using Hourglass Networks

no code implementations23 Mar 2017 Iaroslav Melekhov, Juha Ylioinas, Juho Kannala, Esa Rahtu

In this paper, we propose an encoder-decoder convolutional neural network (CNN) architecture for estimating camera pose (orientation and location) from a single RGB-image.

General Classification Image-Based Localization +1

Relative Camera Pose Estimation Using Convolutional Neural Networks

1 code implementation5 Feb 2017 Iaroslav Melekhov, Juha Ylioinas, Juho Kannala, Esa Rahtu

This paper presents a convolutional neural network based approach for estimating the relative pose between two cameras.

General Classification Pose Estimation +2

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