662 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of PotsdamDE34 papers
- University of HelsinkiFI26 papers
- Aalto UniversityFI23 papers
- Tampere UniversityFI18 papers
- Centre National de la Recherche ScientifiqueFR17 papers
- Northeastern UniversityUS17 papers
- University of JyväskyläFI14 papers
- Brown UniversityUS13 papers
- Technical University of MunichDE13 papers
- Aarhus UniversityDK12 papers
- Helsinki Institute of PhysicsFI10 papers
- Charles UniversityCZ9 papers
22 papers · 1 filter
DGC-Net: Dense Geometric Correspondence Network
Iaroslav Melekhov, Aleksei Tiulpin, Torsten Sattler +3
This paper addresses the challenge of dense pixel correspondence estimation between two images. This problem is closely related to optical flow estimation task where ConvNets (CNNs…
Elastic Neural Networks for Classification
Yi Zhou, Yue Bai, Shuvra S. Bhattacharyya +1
In this work we propose a framework for improving the performance of any deep neural network that may suffer from vanishing gradients. To address the vanishing gradient issue, we s…
Classification of Building Information Model (BIM) Structures with Deep Learning
Francesco Lomio, Ricardo Farinha, Mauri Laasonen +1
In this work we study an application of machine learning to the construction industry and we use classical and modern machine learning methods to categorize images of building desi…
ADVIO: An authentic dataset for visual-inertial odometry
Santiago Cortés, Arno Solin, Esa Rahtu +1
The lack of realistic and open benchmarking datasets for pedestrian visual-inertial odometry has made it hard to pinpoint differences in published methods. Existing datasets either…
Embedded Implementation of a Deep Learning Smile Detector
Pedram Ghazi, Antti P. Happonen, Jani Boutellier +1
In this paper we study the real time deployment of deep learning algorithms in low resource computational environments. As the use case, we compare the accuracy and speed of neural…
Faster Bounding Box Annotation for Object Detection in Indoor Scenes
Bishwo Adhikari, Jukka Peltomäki, Jussi Puura +1
This paper proposes an approach for rapid bounding box annotation for object detection datasets. The procedure consists of two stages: The first step is to annotate a part of the d…
Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision
Yue Bai, Shuvra S. Bhattacharyya, Antti P. Happonen +1
We propose a new framework for image classification with deep neural networks. The framework introduces intermediate outputs to the computational graph of a network. This enables f…
Weighted Linear Discriminant Analysis based on Class Saliency Information
Lei Xu, Alexandros Iosifidis, Moncef Gabbouj
In this paper, we propose a new variant of Linear Discriminant Analysis to overcome underlying drawbacks of traditional LDA and other LDA variants targeting problems involving imba…
Subspace Support Vector Data Description
Fahad Sohrab, Jenni Raitoharju, Moncef Gabbouj +1
This paper proposes a novel method for solving one-class classification problems. The proposed approach, namely Subspace Support Vector Data Description, maps the data to a subspac…
Multilinear Class-Specific Discriminant Analysis
Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
There has been a great effort to transfer linear discriminant techniques that operate on vector data to high-order data, generally referred to as Multilinear Discriminant Analysis…
Improving Efficiency in Convolutional Neural Network with Multilinear Filters
Dat Thanh Tran, Alexandros Iosifidis, Moncef Gabbouj
The excellent performance of deep neural networks has enabled us to solve several automatization problems, opening an era of autonomous devices. However, current deep net architect…
Neural Class-Specific Regression for face verification
Guanqun Cao, Alexandros Iosifidis, Moncef Gabbouj
Face verification is a problem approached in the literature mainly using nonlinear class-specific subspace learning techniques. While it has been shown that kernel-based Class-Spec…
Single Image Super-Resolution based on Wiener Filter in Similarity Domain
Cristóvão Cruz, Rakesh Mehta, Vladimir Katkovnik +1
Single image super resolution (SISR) is an ill-posed problem aiming at estimating a plausible high resolution (HR) image from a single low resolution (LR) image. Current state-of-t…
INTEL-TUT Dataset for Camera Invariant Color Constancy Research
Caglar Aytekin, Jarno Nikkanen, Moncef Gabbouj
In this paper, we provide a novel dataset designed for camera invariant color constancy research. Camera invariance corresponds to the robustness of an algorithm's performance when…
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…
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…
The World of Fast Moving Objects
Denys Rozumnyi, Jan Kotera, Filip Sroubek +2
The notion of a Fast Moving Object (FMO), i.e. an object that moves over a distance exceeding its size within the exposure time, is introduced. FMOs may, and typically do, rotate w…
Exploiting inter-image similarity and ensemble of extreme learners for fixation prediction using deep features
Hamed R. -Tavakoli, Ali Borji, Jorma Laaksonen +1
This paper presents a novel fixation prediction and saliency modeling framework based on inter-image similarities and ensemble of Extreme Learning Machines (ELM). The proposed fram…
Probabilistic Saliency Estimation
Caglar Aytekin, Alexandros Iosifidis, Moncef Gabbouj
In this paper, we model the salient object detection problem under a probabilistic framework encoding the boundary connectivity saliency cue and smoothness constraints in an optimi…
Generalized Multi-view Embedding for Visual Recognition and Cross-modal Retrieval
Guanqun Cao, Alexandros Iosifidis, Ke Chen +1
In this paper, the problem of multi-view embedding from different visual cues and modalities is considered. We propose a unified solution for subspace learning methods using the Ra…
Car Type Recognition with Deep Neural Networks
Heikki Huttunen, Fatemeh Shokrollahi Yancheshmeh, Ke Chen
In this paper we study automatic recognition of cars of four types: Bus, Truck, Van and Small car. For this problem we consider two data driven frameworks: a deep neural network an…
Light Field Reconstruction Using Shearlet Transform
Suren Vagharshakyan, Robert Bregovic, Atanas Gotchev
In this article we develop an image based rendering technique based on light field reconstruction from a limited set of perspective views acquired by cameras. Our approach utilizes…