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08/24/2023
Masked Feature Modelling: Feature Masking for the Unsupervised Pre-training of a Graph Attention Network Block for Bottom-up Video Event Recognition
In this paper, we introduce Masked Feature Modelling (MFM), a novel appr...
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01/18/2023
Gated-ViGAT: Efficient Bottom-Up Event Recognition and Explanation Using a New Frame Selection Policy and Gating Mechanism
In this paper, Gated-ViGAT, an efficient approach for video event recogn...
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01/18/2023
TAME: Attention Mechanism Based Feature Fusion for Generating Explanation Maps of Convolutional Neural Networks
The apparent “black box” nature of neural networks is a barrier to adopt...
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11/21/2022
Are All Combinations Equal? Combining Textual and Visual Features with Multiple Space Learning for Text-Based Video Retrieval
In this paper we tackle the cross-modal video retrieval problem and, mor...
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09/22/2022
Learning Visual Explanations for DCNN-Based Image Classifiers Using an Attention Mechanism
In this paper two new learning-based eXplainable AI (XAI) methods for de...
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07/20/2022
ViGAT: Bottom-up event recognition and explanation in video using factorized graph attention network
In this paper a pure-attention bottom-up approach, called ViGAT, that ut...
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01/15/2021
