243 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Graz University of TechnologyAT3 papers
- Oslo University HospitalNO3 papers
- Universität InnsbruckAT3 papers
- University of OsloNO3 papers
- Dublin City UniversityIE2 papers
- Ho Chi Minh City University of ScienceVN2 papers
- Institut Mines-TélécomFR2 papers
- Johannes Kepler University of LinzAT2 papers
- Magnetfabrik Bonn (Germany)DE2 papers
- Materials Center Leoben (Austria)AT2 papers
- Reykjavík UniversityIS2 papers
- Universidad Autónoma de MadridES2 papers
7 papers · 1 filter
Evaluation of Data Augmentation and Loss Functions in Semantic Image Segmentation for Drilling Tool Wear Detection
Elke Schlager, Andreas Windisch, Lukas Hanna +3
Tool wear monitoring is crucial for quality control and cost reduction in manufacturing processes, of which drilling applications are one example. In this paper, we present a U-Net…
Benchmarking Quality-Dependent and Cost-Sensitive Score-Level Multimodal Biometric Fusion Algorithms
Norman Poh, Thirimachos Bourlai, Josef Kittler +13
Automatically verifying the identity of a person by means of biometrics is an important application in day-to-day activities such as accessing banking services and security control…
The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB)
Javier Ortega-Garcia, Julian Fierrez, Fernando Alonso-Fernandez +29
A new multimodal biometric database designed and acquired within the framework of the European BioSecure Network of Excellence is presented. It is comprised of more than 600 indivi…
Some like it tough: Improving model generalization via progressively increasing the training difficulty
Hannes Fassold
In this work, we propose to progressively increase the training difficulty during learning a neural network model via a novel strategy which we call mini-batch trimming. This strat…
OmniTrack: Real-time detection and tracking of objects, text and logos in video
Hannes Fassold, Ridouane Ghermi
The automatic detection and tracking of general objects (like persons, animals or cars), text and logos in a video is crucial for many video understanding tasks, and usually real-t…
Methods for Mapping Forest Disturbance and Degradation from Optical Earth Observation Data: a Review
Manuela Hirschmugl, Heinz Gallaun, Matthias Dees +4
Purpose of review: This paper presents a review of the current state of the art in remote sensing based monitoring of forest disturbances and forest degradation from optical Earth…
6th International Symposium on Attention in Cognitive Systems 2013
Lucas Paletta, Laurent Itti, Björn Schuller +1
This volume contains the papers accepted at the 6th International Symposium on Attention in Cognitive Systems (ISACS 2013), held in Beijing, August 5, 2013. The aim of this symposi…