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
9 papers · 2 filters
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…