Enrico Fini

About Enrico Fini

Enrico Fini, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Università degli Studi di Trento, specializes in the field of Vision-language, Self-Supervised Learning, Continual Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Vocabulary-free Image Classification and Semantic Segmentation

Continual Contrastive Spoken Language Understanding

Vocabulary-free Image Classification

Improved baselines for vision-language pre-training

Knowledge transfer and retention in deep neural networks

StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization

Semi-supervised learning made simple with self-supervised clustering

A soft nearest-neighbor framework for continual semi-supervised learning

Enrico Fini Information

University

Position

PhD Student

Citations(all)

1067

Citations(since 2020)

1066

Cited By

112

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

Enrico Fini Skills & Research Interests

Vision-language

Self-Supervised Learning

Continual Learning

Top articles of Enrico Fini

Vocabulary-free Image Classification and Semantic Segmentation

arXiv preprint arXiv:2404.10864

2024/4/16

Continual Contrastive Spoken Language Understanding

arXiv preprint arXiv:2310.02699

2023/10/4

Vocabulary-free Image Classification

Advances in Neural Information Processing Systems

2024/2/13

Improved baselines for vision-language pre-training

ICLR & TMLR - International Conference on Learning Representations & Transactions on Machine Learning Research

2023/5/15

Enrico Fini
Enrico Fini

H-Index: 3

Knowledge transfer and retention in deep neural networks

PhD Thesis, Università degli studi di Trento

2023/4/17

Enrico Fini
Enrico Fini

H-Index: 3

StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization

https://openaccess.thecvf.com/content/WACV2024/html/Bose_STYLIP_Multi-Scale_Style-Conditioned_Prompt_Learning_for_CLIP-Based_Domain_Generalization_WACV_2024_paper.html

2023/2/18

Semi-supervised learning made simple with self-supervised clustering

2023

A soft nearest-neighbor framework for continual semi-supervised learning

ICCV - IEEE International Conference on Computer Vision

2022/12/9

Multimodal Emotion Recognition with Modality-Pairwise Unsupervised Contrastive Loss

2022/8

Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence

2022/3/31

Continual Attentive Fusion for Incremental Learning in Semantic Segmentation

IEEE Transactions on Multimedia

2022/4/14

Solo-learn: A Library of Self-supervised Methods for Visual Representation Learning

JMLR - Journal of Machine Learning Research (Machine Learning Open Source Software)

2021/8/3

Neighborhood Contrastive Learning for Novel Class Discovery

2021/3/8

Self-Supervised Models are Continual Learners

CVPR - IEEE Conference on Computer Vision and Pattern Recognition

2021/12/8

A Unified Objective for Novel Class Discovery

2021

Online Continual Learning under Extreme Memory Constraints

2020

Enrico Fini
Enrico Fini

H-Index: 3

Enver Sangineto
Enver Sangineto

H-Index: 19

Deep learning for classification and localization of COVID-19 markers in point-of-care lung ultrasound

IEEE transactions on medical imaging

2020/5/13

Supervised online diarization with sample mean loss for multi-domain data

2020/5/4

Enrico Fini
Enrico Fini

H-Index: 3

See List of Professors in Enrico Fini University(Università degli Studi di Trento)

Co-Authors

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