Nikolaos Gkalelis

Orcid: 0000-0001-6741-3334

According to our database1, Nikolaos Gkalelis authored at least 41 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
T-TAME: Trainable Attention Mechanism for Explaining Convolutional Networks and Vision Transformers.
IEEE Access, 2024

Filter-Pruning of Lightweight Face Detectors Using a Geometric Median Criterion.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

2023
Masked Feature Modelling: Feature Masking for the Unsupervised Pre-training of a Graph Attention Network Block for Bottom-up Video Event Recognition.
CoRR, 2023

Masked Feature Modelling for the unsupervised pre-training of a Graph Attention Network block for bottom-up video event recognition.
Proceedings of the IEEE International Symposium on Multimedia, 2023

2022
ViGAT: Bottom-Up Event Recognition and Explanation in Video Using Factorized Graph Attention Network.
IEEE Access, 2022

TAME: Attention Mechanism Based Feature Fusion for Generating Explanation Maps of Convolutional Neural Networks.
Proceedings of the IEEE International Symposium on Multimedia, 2022

Gated-ViGAT: Efficient Bottom-Up Event Recognition and Explanation Using a New Frame Selection Policy and Gating Mechanism.
Proceedings of the IEEE International Symposium on Multimedia, 2022

Learning Visual Explanations for DCNN-Based Image Classifiers Using an Attention Mechanism.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Exploiting Out-of-Domain Datasets and Visual Representations for Image Sentiment Classification.
Proceedings of the 16th International Workshop on Semantic and Social Media Adaptation & Personalization, 2021

Combining Multiple Deep-learning-based Image Features for Visual Sentiment Analysis.
Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021

ObjectGraphs: Using Objects and a Graph Convolutional Network for the Bottom-Up Recognition and Explanation of Events in Video.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Subclass Deep Neural Networks: Re-enabling Neglected Classes in Deep Network Training for Multimedia Classification.
Proceedings of the MultiMedia Modeling - 26th International Conference, 2020

Structured Pruning of LSTMs via Eigenanalysis and Geometric Median for Mobile Multimedia and Deep Learning Applications.
Proceedings of the IEEE International Symposium on Multimedia, 2020

Fractional Step Discriminant Pruning: A Filter Pruning Framework for Deep Convolutional Neural Networks.
Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops, 2020

2017
Incremental Accelerated Kernel Discriminant Analysis.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

2016
AKSDA-MSVM: A GPU-accelerated Multiclass Learning Framework for Multimedia.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

2015
Accelerated nonlinear discriminant analysis.
CoRR, 2015


GPU Accelerated Generalised Subclass Discriminant Analysis for Event and Concept Detection in Video.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

2014

Video event detection using generalized subclass discriminant analysis and linear support vector machines.
Proceedings of the International Conference on Multimedia Retrieval, 2014

2013
Mixture Subclass Discriminant Analysis Link to Restricted Gaussian Model and Other Generalizations.
IEEE Trans. Neural Networks Learn. Syst., 2013

ITI-CERTH participation to TRECVID 2013.
Proceedings of the 2013 TREC Video Retrieval Evaluation, 2013

Improving event detection using related videos and relevance degree support vector machines.
Proceedings of the ACM Multimedia Conference, 2013

Video event detection using a subclass recoding error-correcting output codes framework.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

Video event recounting using mixture subclass discriminant analysis.
Proceedings of the IEEE International Conference on Image Processing, 2013

2012
Linear Subclass Support Vector Machines.
IEEE Signal Process. Lett., 2012

ITI-CERTH participation to TRECVID 2012.
Proceedings of the 2012 TREC Video Retrieval Evaluation, 2012

2011
Mixture Subclass Discriminant Analysis.
IEEE Signal Process. Lett., 2011

ITI-CERTH participation to TRECVID 2011.
Proceedings of the 2011 TREC Video Retrieval Evaluation, 2011

High-level event detection system based on discriminant visual concepts.
Proceedings of the 1st International Conference on Multimedia Retrieval, 2011

High-level event detection in video exploiting discriminant concepts.
Proceedings of the 9th International Workshop on Content-Based Multimedia Indexing, 2011

2010
ITI-CERTH participation to TRECVID 2010.
Proceedings of the TRECVID 2010 workshop participants notebook papers, 2010

A Joint Content-Event Model for Event-Centric Multimedia Indexing.
Proceedings of the 4th IEEE International Conference on Semantic Computing (ICSC 2010), 2010

Automatic event-based indexing of multimedia content using a joint content-event model.
Proceedings of the 2nd ACM international workshop on Events in multimedia, 2010

2009
View indepedent human movement recognition from multi-view video exploiting a circular invariant posture representation.
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009

Human identification from human movements.
Proceedings of the International Conference on Image Processing, 2009

Fusion of Movement Specific Human Identification Experts.
Proceedings of the Biometric ID Management and Multimodal Communication, 2009

2008
Combining Fuzzy Vector Quantization With Linear Discriminant Analysis for Continuous Human Movement Recognition.
IEEE Trans. Circuits Syst. Video Technol., 2008

Sparse human movement representation and recognition.
Proceedings of the International Workshop on Multimedia Signal Processing, 2008

Human movement recognition using fuzzy clustering and discriminant analysis.
Proceedings of the 2008 16th European Signal Processing Conference, 2008


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