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ORCIDNikolaos Gkalelis
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2020 – today
- 2024
[j6]Mariano V. Ntrougkas
, Nikolaos Gkalelis, Vasileios Mezaris:
T-TAME: Trainable Attention Mechanism for Explaining Convolutional Networks and Vision Transformers. IEEE Access 12: 76880-76900 (2024)- [c33]Konstantinos Gkrispanis, Nikolaos Gkalelis, Vasileios Mezaris:
Filter-Pruning of Lightweight Face Detectors Using a Geometric Median Criterion. WACV (Workshops) 2024: 280-289 - [i8]Mariano V. Ntrougkas, Nikolaos Gkalelis, Vasileios Mezaris:
T-TAME: Trainable Attention Mechanism for Explaining Convolutional Networks and Vision Transformers. CoRR abs/2403.04523 (2024) - 2023
- [c32]Dimitrios Daskalakis, Nikolaos Gkalelis, Vasileios Mezaris:
Masked Feature Modelling for the unsupervised pre-training of a Graph Attention Network block for bottom-up video event recognition. ISM 2023: 247-250 - [i7]Mariano Ntrougkas, Nikolaos Gkalelis, Vasileios Mezaris:
TAME: Attention Mechanism Based Feature Fusion for Generating Explanation Maps of Convolutional Neural Networks. CoRR abs/2301.07407 (2023) - [i6]Nikolaos Gkalelis, Dimitrios Daskalakis, Vasileios Mezaris:
Gated-ViGAT: Efficient Bottom-Up Event Recognition and Explanation Using a New Frame Selection Policy and Gating Mechanism. CoRR abs/2301.07565 (2023) - [i5]Dimitrios Daskalakis, Nikolaos Gkalelis, Vasileios Mezaris:
Masked Feature Modelling: Feature Masking for the Unsupervised Pre-training of a Graph Attention Network Block for Bottom-up Video Event Recognition. CoRR abs/2308.12673 (2023) - [i4]Konstantinos Gkrispanis, Nikolaos Gkalelis, Vasileios Mezaris:
Filter-Pruning of Lightweight Face Detectors Using a Geometric Median Criterion. CoRR abs/2311.16613 (2023) - 2022
- [j5]Nikolaos Gkalelis, Dimitrios Daskalakis, Vasileios Mezaris:
ViGAT: Bottom-Up Event Recognition and Explanation in Video Using Factorized Graph Attention Network. IEEE Access 10: 108797-108816 (2022) - [c31]Ioanna Gkartzonika, Nikolaos Gkalelis, Vasileios Mezaris:
Learning Visual Explanations for DCNN-Based Image Classifiers Using an Attention Mechanism. ECCV Workshops (8) 2022: 396-411 - [c30]Mariano Ntrougkas, Nikolaos Gkalelis, Vasileios Mezaris:
TAME: Attention Mechanism Based Feature Fusion for Generating Explanation Maps of Convolutional Neural Networks. ISM 2022: 58-65 - [c29]Nikolaos Gkalelis, Dimitrios Daskalakis, Vasileios Mezaris:
Gated-ViGAT: Efficient Bottom-Up Event Recognition and Explanation Using a New Frame Selection Policy and Gating Mechanism. ISM 2022: 113-120 - [i3]Nikolaos Gkalelis, Dimitrios Daskalakis, Vasileios Mezaris:
ViGAT: Bottom-up event recognition and explanation in video using factorized graph attention network. CoRR abs/2207.09927 (2022) - [i2]Ioanna Gkartzonika, Nikolaos Gkalelis, Vasileios Mezaris:
Learning Visual Explanations for DCNN-Based Image Classifiers Using an Attention Mechanism. CoRR abs/2209.11189 (2022) - 2021
- [c28]Nikolaos Gkalelis, Andreas Goulas, Damianos Galanopoulos, Vasileios Mezaris:
ObjectGraphs: Using Objects and a Graph Convolutional Network for the Bottom-Up Recognition and Explanation of Events in Video. CVPR Workshops 2021: 3375-3383 - [c27]Alexandros Pournaras, Nikolaos Gkalelis, Damianos Galanopoulos, Vasileios Mezaris:
Combining Multiple Deep-learning-based Image Features for Visual Sentiment Analysis. MediaEval 2021 - [c26]Alexandros Pournaras, Nikolaos Gkalelis, Damianos Galanopoulos, Vasileios Mezaris:
Exploiting Out-of-Domain Datasets and Visual Representations for Image Sentiment Classification. SMAP 2021: 1-6 - 2020
- [c25]Nikolaos Gkalelis, Vasileios Mezaris:
Fractional Step Discriminant Pruning: A Filter Pruning Framework for Deep Convolutional Neural Networks. ICME Workshops 2020: 1-6 - [c24]Nikolaos Gkalelis, Vasileios Mezaris:
Structured Pruning of LSTMs via Eigenanalysis and Geometric Median for Mobile Multimedia and Deep Learning Applications. ISM 2020: 122-126 - [c23]Nikolaos Gkalelis, Vasileios Mezaris:
Subclass Deep Neural Networks: Re-enabling Neglected Classes in Deep Network Training for Multimedia Classification. MMM (1) 2020: 227-238
2010 – 2019
- 2017
- [c22]Nikolaos Gkalelis, Vasileios Mezaris:
Incremental Accelerated Kernel Discriminant Analysis. ACM Multimedia 2017: 1575-1583 - 2016
- [c21]Stavros Arestis-Chartampilas, Nikolaos Gkalelis, Vasileios Mezaris:
AKSDA-MSVM: A GPU-accelerated Multiclass Learning Framework for Multimedia. ACM Multimedia 2016: 461-465 - 2015
- [c20]Stavros Arestis-Chartampilas, Nikolaos Gkalelis, Vasileios Mezaris:
GPU Accelerated Generalised Subclass Discriminant Analysis for Event and Concept Detection in Video. ACM Multimedia 2015: 1219-1222 - [c19]Foteini Markatopoulou, Anastasia Ioannidou, Christos Tzelepis, Theodoros Mironidis, Damianos Galanopoulos, Stavros Arestis-Chartampilas, Nikiforos Pittaras, Konstantinos Avgerinakis, Nikolaos Gkalelis, Anastasia Moumtzidou, Stefanos Vrochidis, Vasileios Mezaris, Ioannis Kompatsiaris, Ioannis Patras:
ITI-CERTH participation to TRECVID 2015. TRECVID 2015 - [i1]Nikolaos Gkalelis, Vasileios Mezaris:
Accelerated nonlinear discriminant analysis. CoRR abs/1504.07000 (2015) - 2014
- [c18]Nikolaos Gkalelis, Vasileios Mezaris:
Video event detection using generalized subclass discriminant analysis and linear support vector machines. ICMR 2014: 25 - [c17]Nikolaos Gkalelis, Foteini Markatopoulou, Anastasia Moumtzidou, Damianos Galanopoulos, Konstantinos Avgerinakis, Nikiforos Pittaras, Stefanos Vrochidis, Vasileios Mezaris, Ioannis Kompatsiaris, Ioannis Patras:
ITI-CERTH participation to TRECVID 2014. TRECVID 2014 - 2013
- [j4]Nikolaos Gkalelis, Vasileios Mezaris, Ioannis Kompatsiaris, Tania Stathaki:
Mixture Subclass Discriminant Analysis Link to Restricted Gaussian Model and Other Generalizations. IEEE Trans. Neural Networks Learn. Syst. 24(1): 8-21 (2013) - [c16]Nikolaos Gkalelis, Vasileios Mezaris, Ioannis Kompatsiaris, Tania Stathaki:
Video event recounting using mixture subclass discriminant analysis. ICIP 2013: 4372-4376 - [c15]Nikolaos Gkalelis, Vasileios Mezaris, Michail Dimopoulos, Ioannis Kompatsiaris, Tania Stathaki:
Video event detection using a subclass recoding error-correcting output codes framework. ICME 2013: 1-6 - [c14]Christos Tzelepis, Nikolaos Gkalelis, Vasileios Mezaris, Ioannis Kompatsiaris:
Improving event detection using related videos and relevance degree support vector machines. ACM Multimedia 2013: 673-676 - [c13]Fotini Markatopoulou, Anastasia Moumtzidou, Christos Tzelepis, Konstantinos Avgerinakis, Nikolaos Gkalelis, Stefanos Vrochidis, Vasileios Mezaris, Ioannis Kompatsiaris:
ITI-CERTH participation to TRECVID 2013. TRECVID 2013 - 2012
- [j3]Nikolaos Gkalelis, Vasileios Mezaris, Ioannis Kompatsiaris, Tania Stathaki:
Linear Subclass Support Vector Machines. IEEE Signal Process. Lett. 19(9): 575-578 (2012) - [c12]Anastasia Moumtzidou, Nikolaos Gkalelis, Panagiotis Sidiropoulos, Michail Dimopoulos, Spiros Nikolopoulos, Stefanos Vrochidis, Vasileios Mezaris, Ioannis Kompatsiaris:
ITI-CERTH participation to TRECVID 2012. TRECVID 2012 - 2011
- [j2]Nikolaos Gkalelis, Vasileios Mezaris, Ioannis Kompatsiaris:
Mixture Subclass Discriminant Analysis. IEEE Signal Process. Lett. 18(5): 319-322 (2011) - [c11]Nikolaos Gkalelis, Vasileios Mezaris, Ioannis Kompatsiaris:
High-level event detection in video exploiting discriminant concepts. CBMI 2011: 85-90 - [c10]Ioannis Tsampoulatidis, Nikolaos Gkalelis, Anastasios Dimou, Vasileios Mezaris, Ioannis Kompatsiaris:
High-level event detection system based on discriminant visual concepts. ICMR 2011: 68 - [c9]Anastasia Moumtzidou, Panagiotis Sidiropoulos, Stefanos Vrochidis, Nikolaos Gkalelis, Spiros Nikolopoulos, Vasileios Mezaris, Ioannis Kompatsiaris, Ioannis Patras:
ITI-CERTH participation to TRECVID 2011. TRECVID 2011 - 2010
- [c8]Nikolaos Gkalelis, Vasileios Mezaris, Ioannis Kompatsiaris:
Automatic event-based indexing of multimedia content using a joint content-event model. EIMM@MM 2010: 15-20 - [c7]Nikolaos Gkalelis, Vasileios Mezaris, Ioannis Kompatsiaris:
A Joint Content-Event Model for Event-Centric Multimedia Indexing. ICSC 2010: 79-84 - [c6]Anastasia Moumtzidou, Anastasios Dimou, Nikolaos Gkalelis, Stefanos Vrochidis, Vasileios Mezaris, Ioannis Kompatsiaris:
ITI-CERTH participation to TRECVID 2010. TRECVID 2010
2000 – 2009
- 2009
- [c5]Nikolaos Gkalelis, Anastasios Tefas, Ioannis Pitas:
Fusion of Movement Specific Human Identification Experts. COST 2101/2102 Conference 2009: 138-145 - [c4]Nikolaos Gkalelis, Anastasios Tefas, Ioannis Pitas:
Human identification from human movements. ICIP 2009: 2585-2588 - [c3]Nikolaos Gkalelis, Nikos Nikolaidis, Ioannis Pitas:
View indepedent human movement recognition from multi-view video exploiting a circular invariant posture representation. ICME 2009: 394-397 - 2008
- [j1]Nikolaos Gkalelis, Anastasios Tefas, Ioannis Pitas:
Combining Fuzzy Vector Quantization With Linear Discriminant Analysis for Continuous Human Movement Recognition. IEEE Trans. Circuits Syst. Video Technol. 18(11): 1511-1521 (2008) - [c2]Nikolaos Gkalelis, Anastasios Tefas, Ioannis Pitas:
Human movement recognition using fuzzy clustering and discriminant analysis. EUSIPCO 2008: 1-5 - [c1]Nikolaos Gkalelis, Anastasios Tefas, Ioannis Pitas:
Sparse human movement representation and recognition. MMSP 2008: 165-169
Coauthor Index
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last updated on 2024-10-07 22:08 CEST by the dblp team
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