Enrico Fini

Orcid: 0000-0002-1671-875X

According to our database1, Enrico Fini authored at least 26 papers between 2020 and 2026.

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Timeline

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Bibliography

2026
Vocabulary-Free Image Classification and Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2026

2025
Scaling Laws for Optimal Data Mixtures.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

FlexTok: Resampling Images into 1D Token Sequences of Flexible Length.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Automatic Benchmarking of Large Multimodal Models via Iterative Experiment Programming.
Proceedings of the Image Analysis and Processing - ICIAP 2025, 2025

Scaling Laws for Native Multimodal Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

On Large Multimodal Models as Open-World Image Classifiers.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Multimodal Autoregressive Pre-training of Large Vision Encoders.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Visual Scratchpads: Enabling Global Reasoning in Vision.
CoRR, 2024

StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Retrieval-enriched zero-shot image classification in low-resource domains.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Continual Contrastive Spoken Language Understanding.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Knowledge transfer and retention in deep neural networks.
PhD thesis, 2023

Continual Attentive Fusion for Incremental Learning in Semantic Segmentation.
IEEE Trans. Multim., 2023

Improved baselines for vision-language pre-training.
Trans. Mach. Learn. Res., 2023

Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Vocabulary-free Image Classification.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A soft nearest-neighbor framework for continual semi-supervised learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Semi-supervised learning made simple with self-supervised clustering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
solo-learn: A Library of Self-supervised Methods for Visual Representation Learning.
J. Mach. Learn. Res., 2022

Multimodal Emotion Recognition with Modality-Pairwise Unsupervised Contrastive Loss.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Self-Supervised Models are Continual Learners.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
A Unified Objective for Novel Class Discovery.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Neighborhood Contrastive Learning for Novel Class Discovery.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound.
IEEE Trans. Medical Imaging, 2020

Supervised Online Diarization with Sample Mean Loss for Multi-Domain Data.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Online Continual Learning Under Extreme Memory Constraints.
Proceedings of the Computer Vision - ECCV 2020, 2020


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