Angelo Porrello

Orcid: 0000-0002-9022-8484

According to our database1, Angelo Porrello authored at least 40 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2018
2019
2020
2021
2022
2023
2024
2025
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15
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Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Monocular per-object distance estimation with Masked Object Modeling.
Comput. Vis. Image Underst., 2025

2024
A Graph-Based Multi-Scale Approach With Knowledge Distillation for WSI Classification.
IEEE Trans. Medical Imaging, April, 2024

May the Forgetting Be with You: Alternate Replay for Learning with Noisy Labels.
CoRR, 2024

CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning.
CoRR, 2024

An Attention-based Representation Distillation Baseline for Multi-Label Continual Learning.
CoRR, 2024

A Second-Order perspective on Compositionality and Incremental Learning.
CoRR, 2024

Selective Attention-based Modulation for Continual Learning.
CoRR, 2024

DistFormer: Enhancing Local and Global Features for Monocular Per-Object Distance Estimation.
CoRR, 2024

ClusterFix: A Cluster-Based Debiasing Approach without Protected-Group Supervision.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Is Multiple Object Tracking a Matter of Specialization?
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Self-Labeling the Job Shop Scheduling Problem.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Saliency-driven Experience Replay for Continual Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Mask and Compress: Efficient Skeleton-Based Action Recognition in Continual Learning.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

Trajectory Forecasting Through Low-Rank Adaptation of Discrete Latent Codes.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

Semantic Residual Prompts for Continual Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Class-Incremental Continual Learning Into the eXtended DER-Verse.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Spotting Virus From Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks.
IEEE Trans. Geosci. Remote. Sens., 2023

On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning.
CoRR, 2023

DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Where Research meets Industry: New Challenges and Opportunities at AImageLab.
Proceedings of the Italia Intelligenza Artificiale, 2023

Avoiding the Pitfalls on Stock Market: Challenges and Solutions in Developing Quantitative Strategies.
Proceedings of the Italia Intelligenza Artificiale, 2023

Input Perturbation Reduces Exposure Bias in Diffusion Models.
Proceedings of the International Conference on Machine Learning, 2023

Buffer-MIL: Robust Multi-instance Learning with a Buffer-Based Approach.
Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

TrackFlow: Multi-Object Tracking with Normalizing Flows.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Continual semi-supervised learning through contrastive interpolation consistency.
Pattern Recognit. Lett., 2022

On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Consistency-Based Self-supervised Learning for Temporal Anomaly Localization.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Transfer Without Forgetting.
Proceedings of the Computer Vision - ECCV 2022, 2022

How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Weakly Supervised Continual Learning.
CoRR, 2021

2020
Predicting WNV Circulation in Italy Using Earth Observation Data and Extreme Gradient Boosting Model.
Remote. Sens., 2020

Dark Experience for General Continual Learning: a Strong, Simple Baseline.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

The color out of space: learning self-supervised representations for Earth Observation imagery.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Rethinking Experience Replay: a Bag of Tricks for Continual Learning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Robust Re-Identification by Multiple Views Knowledge Distillation.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Spotting Insects from Satellites: Modeling the Presence of Culicoides Imicola Through Deep CNNs.
Proceedings of the 15th International Conference on Signal-Image Technology & Internet-Based Systems, 2019

Latent Space Autoregression for Novelty Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Classifying Signals on Irregular Domains via Convolutional Cluster Pooling.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
AND: Autoregressive Novelty Detectors.
CoRR, 2018

Multi-views Embedding for Cattle Re-identification.
Proceedings of the 14th International Conference on Signal-Image Technology & Internet-Based Systems, 2018


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