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Federico Baldassarre
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Year
Explainability Techniques for Graph Convolutional Networks
F Baldassarre, H Azizpour
International Conference on Machine Learning (ICML 2019) - Workshop …, 2019
1682019
Deep koalarization: Image colorization using cnns and inception-resnet-v2
F Baldassarre, DG Morín, L Rodés-Guirao
arXiv preprint arXiv:1712.03400, 2017
972017
GraphQA: Protein Model Quality Assessment using Graph Convolutional Network
F Baldassarre, DM Hurtado, A Elofsson, H Azizpour
Bioinformatics Journal, 2020
792020
Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks
F Baldassarre, K Smith, J Sullivan, H Azizpour
European Conference on Computer Vision (ECCV 2020), 2020
192020
Towards Self-Supervised Learning of Global and Object-Centric Representations
F Baldassarre, H Azizpour
ICLR 2022 Workshop on Objects, Structure and Causality, 2022
82022
Learnable masked tokens for improved transferability of self-supervised vision transformers
H Hu, F Baldassarre, H Azizpour
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2023
22023
Quantitative Metrics for Evaluating Explanations of Video DeepFake Detectors
F Baldassarre, Q Debard, GF Pontiveros, TK Wijaya
British Machine Vision Conference (BMVC 2022), 2022
22022
Variable Rate Allocation for Vector-Quantized Autoencoders
F Baldassarre, A El-Nouby, H Jégou
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
2023
Structured Representations for Explainable Deep Learning
F Baldassarre
KTH Royal Institute of Technology, 2023
2023
Morphing architectures for pose-based image generation of people in clothing
F Baldassarre
KTH - Royal Insitute of Technology (Stockholm, Sweden), 2018
2018
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Articles 1–10