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08/22/2023
TrackFlow: Multi-Object Tracking with Normalizing Flows
The field of multi-object tracking has recently seen a renewed interest ...
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05/05/2023
On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning
Humans can learn incrementally, whereas neural networks forget previousl...
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01/27/2023
Input Perturbation Reduces Exposure Bias in Diffusion Models
Denoising Diffusion Probabilistic Models have shown an impressive genera...
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10/12/2022
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning
Rehearsal approaches enjoy immense popularity with Continual Learning (C...
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09/07/2022
Spotting Virus from Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks
The occurrence of West Nile Virus (WNV) represents one of the most commo...
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08/10/2022
Consistency-based Self-supervised Learning for Temporal Anomaly Localization
This work tackles Weakly Supervised Anomaly detection, in which a predic...
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06/01/2022
Transfer without Forgetting
This work investigates the entanglement between Continual Learning (CL) ...
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03/09/2022
How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting
Accurate prediction of future human positions is an essential task for m...
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01/03/2022
Class-Incremental Continual Learning into the eXtended DER-verse
The staple of human intelligence is the capability of acquiring knowledg...
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08/14/2021
Weakly Supervised Continual Learning
Continual Learning (CL) investigates how to train Deep Networks on a str...
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10/12/2020
Rethinking Experience Replay: a Bag of Tricks for Continual Learning
In Continual Learning, a Neural Network is trained on a stream of data w...
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07/08/2020
Robust Re-Identification by Multiple Views Knowledge Distillation
To achieve robustness in Re-Identification, standard methods leverage tr...
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06/22/2020
The color out of space: learning self-supervised representations for Earth Observation imagery
The recent growth in the number of satellite images fosters the developm...
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04/15/2020
Dark Experience for General Continual Learning: a Strong, Simple Baseline
Neural networks struggle to learn continuously, as they forget the old k...
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11/22/2019
Spotting insects from satellites: modeling the presence of Culicoides imicola through Deep CNNs
Nowadays, Vector-Borne Diseases (VBDs) raise a severe threat for public ...
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02/13/2019
Multi-views Embedding for Cattle Re-identification
People re-identification task has seen enormous improvements in the late...
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02/13/2019
Classifying Signals on Irregular Domains via Convolutional Cluster Pooling
We present a novel and hierarchical approach for supervised classificati...
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07/04/2018
