1.2k citations · 2.7k across the 112 of their papers we have counts for
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Image Patch Matching Using Convolutional Descriptors with Euclidean Distance
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. Our approach is…
PIVO: Probabilistic Inertial-Visual Odometry for Occlusion-Robust Navigation
Arno Solin, Santiago Cortes, Esa Rahtu +1
This paper presents a novel method for visual-inertial odometry. The method is based on an information fusion framework employing low-cost IMU sensors and the monocular camera in a…
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…
Cell Tracking via Proposal Generation and Selection
Saad Ullah Akram, Juho Kannala, Lauri Eklund +1
Microscopy imaging plays a vital role in understanding many biological processes in development and disease. The recent advances in automation of microscopes and development of met…
Learning Image Relations with Contrast Association Networks
Yao Lu, Zhirong Yang, Juho Kannala +1
Inferring the relations between two images is an important class of tasks in computer vision. Examples of such tasks include computing optical flow and stereo disparity. We treat t…
Context Aware Query Image Representation for Particular Object Retrieval
Zakaria Laskar, Juho Kannala
The current models of image representation based on Convolutional Neural Networks (CNN) have shown tremendous performance in image retrieval. Such models are inspired by the inform…
Image-based Localization using Hourglass Networks
Iaroslav Melekhov, Juha Ylioinas, Juho Kannala +1
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. The arch…
Inertial Odometry on Handheld Smartphones
Arno Solin, Santiago Cortes, Esa Rahtu +1
Building a complete inertial navigation system using the limited quality data provided by current smartphones has been regarded challenging, if not impossible. This paper shows tha…
Relative Camera Pose Estimation Using Convolutional Neural Networks
Iaroslav Melekhov, Juha Ylioinas, Juho Kannala +1
This paper presents a convolutional neural network based approach for estimating the relative pose between two cameras. The proposed network takes RGB images from both cameras as i…