Federico Baldassarre
Federico Baldassarre
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Variable Rate Allocation for Vector-Quantized Autoencoders
ICASSP 2023
- Control the bit rate allocation of a a PQ-VAE using semantic information from DINO, in collaboration with the Meta AI in Paris.
Federico Baldassarre
,
Alaaeldin El-Nouby
,
Hervé Jégou
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Poster
Learnable Masked Tokens for Improved Transferability of Self-Supervised Vision Transformers
ECML PKDD 2022
- Learnable masked tokens reduce overfitting when training transformers in low-data regime.
Hao Hu
,
Federico Baldassarre
,
Hossein Azizpour
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Quantitative Metrics for Evaluating Explanations of Video DeepFake Detectors
BMVC 2022
- Quantitative metrics for evaluating explanations of video DeepFake detectors, in collaboration with the Huawei Ireland Research Center.
Federico Baldassarre
,
Quentin Debard
,
Gonzalo Fiz Pontiveros
,
Tri Kurniawan Wijaya
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Poster
Video
DOI
Towards Self-Supervised Learning of Global and Object-Centric Representations
ICLR Workshop 2022
- How to learn object-centric representations using contrastive learning on multi-object datasets?
Federico Baldassarre
,
Hossein Azizpour
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Poster
DOI
Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks
ECCV 2020
- A novel weakly-supervised method for visual relationship detection that relies on minimal image-level predicate labels, graph networks, and attribution-based explanations.
Federico Baldassarre
,
Kevin Smith
,
Josephine Sullivan
,
Hossein Azizpour
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Video
DOI
Explainability Techniques for Graph Convolutional Networks
ICML Workshop 2019
- How do Sensitivity Analysis, Guided Backpropagation, and Layer-Wise Relevance Propagation behave when applied to Graph Neural Networks?
Federico Baldassarre
,
Hossein Azizpour
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Poster
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