EDBT 2026 Demo / reviewers in the wild / expert

Daniela Hall

dblp:70/2833 · DBLP profile ↗
← Back
8ranked-venue papers
5as first author
0since 2021 · last 2006
0009-0006-4375-0225ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 5 · 4 first-authorGraphics, computer vision, multimedia, augmented reality and games · 4 · 2 first-authorHuman-computer interaction and ubiquitous computing · 2 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
2 papers
Deep learning architectures and training · 46% 3D vision · 30% Image recognition and object detection · 23%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Deep learning architectures and training
convolutional neural network		 0.012000
Object Recognition Using Coloured Receptive Fields · ECCV (1) 2000
Computer vision › 3D vision
local feature descriptor		 0.012000
Local Scale Selection for Gaussian Based Description Techniques · ECCV (1) 2000
Computer vision › Image recognition and object detection
object recognition		 0.012000
Object Recognition Using Coloured Receptive Fields · ECCV (1) 2000
Machine learning › Deep learning architectures and training › convolutional neural network
receptive field		 0.012000
Object Recognition Using Coloured Receptive Fields · ECCV (1) 2000
Computer vision › 3D vision
scale selection		 0.012000
Local Scale Selection for Gaussian Based Description Techniques · ECCV (1) 2000

Methods — techniques the papers use, named apart from their topics

local scale selection · 0.0gaussian-based description · 0.0coloured receptive fields · 0.0
YearPublicationVenuePosition
2006 Automatic parameter regulation of perceptual systems
Daniela Hall
 Image Vis. Comput.1
2004 Brand identification using Gaussian derivative histograms
Daniela Hall, Fabien Pelisson, Olivier Riff, James L. Crowley
 Mach. Vis. Appl.1
2003 Brand Identification Using Gaussian Derivative Histograms
Fabien Pelisson, Daniela Hall, Olivier Riff, James L. Crowley
 ICVS2
2002 Saliency of Interest Points under Scale Changes
abstract
Interest point detectors are commonly employed to reduce the amount of data to be processed. The ideal interest point detector would robustly select those features which are most appropriate or salient for the application and data at hand. There is however a tradeoff between the robustness and the discriminance of the selected features. Whereas robustness in terms of repeatability is relatively well explored, the discriminance of interest points is rarely discussed. This paper formalizes the notion of saliency and evaluates three state-of-the-art interest point detectors with respect to their capability of selecting salient image features in two recognition settings.
Daniela Hall, Bastian Leibe, Bernt Schiele
 BMVC1
2000 Local Scale Selection for Gaussian Based Description Techniques
Olivier Chomat, Vincent Colin de Verdière, Daniela Hall, James L. Crowley
 ECCV (1)3
2000 Object Recognition Using Coloured Receptive Fields
Daniela Hall, Vincent Colin de Verdière, James L. Crowley
 ECCV (1)1
2000 Estimating the Pose of Phicons for Human Computer Interaction
Daniela Hall, James L. Crowley
 ICMI1
2000 Visual Recognition of Emotional States
Karl Schwerdt, Daniela Hall, James L. Crowley
 ICMI2