Enrico Fini

According to our database, Enrico Fini authored at least 21 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Multimodal Autoregressive Pre-training of Large Vision Encoders.

Enrico Fini, Mustafa Shukor, Xiujun Li, Philipp Dufter, Michal Klein, David Haldimann, Sai Aitharaju, Victor Guilherme Turrisi da Costa, Louis Béthune, Zhe Gan, Alexander T. Toshev, Marcin Eichner, Moin Nabi, Yinfei Yang, Joshua M. Susskind, Alaaeldin El-Nouby

CoRR, 2024

Visual Scratchpads: Enabling Global Reasoning in Vision.

Aryo Lotfi, Enrico Fini, Samy Bengio, Moin Nabi, Emmanuel Abbe

CoRR, 2024

Automatic benchmarking of large multimodal models via iterative experiment programming.

Alessandro Conti, Enrico Fini, Paolo Rota, Yiming Wang, Massimiliano Mancini, Elisa Ricci

CoRR, 2024

Vocabulary-free Image Classification and Semantic Segmentation.

Alessandro Conti, Enrico Fini, Massimiliano Mancini, Paolo Rota, Yiming Wang, Elisa Ricci

CoRR, 2024

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

Shirsha Bose, Ankit Jha, Enrico Fini, Mainak Singha, Elisa Ricci, Biplab Banerjee

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Retrieval-enriched zero-shot image classification in low-resource domains.

Nicola Dall'Asen, Yiming Wang, Enrico Fini, Elisa Ricci

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Continual Contrastive Spoken Language Understanding.

Umberto Cappellazzo, Enrico Fini, Muqiao Yang, Daniele Falavigna, Alessio Brutti, Bhiksha Raj

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Continual Attentive Fusion for Incremental Learning in Semantic Segmentation.

Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Hao Tang, Xavier Alameda-Pineda, Elisa Ricci

IEEE Trans. Multim., 2023

Improved baselines for vision-language pre-training.

Enrico Fini, Pietro Astolfi, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal

Trans. Mach. Learn. Res., 2023

Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation.

Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Moin Nabi, Xavier Alameda-Pineda, Elisa Ricci

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Vocabulary-free Image Classification.

Alessandro Conti, Enrico Fini, Massimiliano Mancini, Paolo Rota, Yiming Wang, Elisa Ricci

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.

Zhiqi Kang, Enrico Fini, Moin Nabi, Elisa Ricci, Karteek Alahari

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Semi-supervised learning made simple with self-supervised clustering.

Enrico Fini, Pietro Astolfi, Karteek Alahari, Xavier Alameda-Pineda, Julien Mairal, Moin Nabi, Elisa Ricci

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.

Victor Guilherme Turrisi da Costa, Enrico Fini, Moin Nabi, Nicu Sebe, Elisa Ricci

J. Mach. Learn. Res., 2022

Multimodal Emotion Recognition with Modality-Pairwise Unsupervised Contrastive Loss.

Riccardo Franceschini, Enrico Fini, Cigdem Beyan, Alessandro Conti, Federica Arrigoni, Elisa Ricci

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Self-Supervised Models are Continual Learners.

Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, Julien Mairal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

A Unified Objective for Novel Class Discovery.

Enrico Fini, Enver Sangineto, Stéphane Lathuilière, Zhun Zhong, Moin Nabi, Elisa Ricci

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Neighborhood Contrastive Learning for Novel Class Discovery.

Zhun Zhong, Enrico Fini, Subhankar Roy, Zhiming Luo, Elisa Ricci, Nicu Sebe

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.

Subhankar Roy, Willi Menapace, Sebastiaan Oei, Ben Luijten, Enrico Fini, Cristiano Saltori, Iris A. M. Huijben, Nishith Chennakeshava, Federico Mento, Alessandro Sentelli, Emanuele Peschiera, Riccardo Trevisan, Giovanni Maschietto, Elena Torri, Riccardo Inchingolo, Andrea Smargiassi, Gino Soldati, Paolo Rota, Andrea Passerini, Ruud J. G. van Sloun, Elisa Ricci, Libertario Demi

IEEE Trans. Medical Imaging, 2020

Supervised Online Diarization with Sample Mean Loss for Multi-Domain Data.

Enrico Fini, Alessio Brutti

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Online Continual Learning Under Extreme Memory Constraints.

Enrico Fini, Stéphane Lathuilière, Enver Sangineto, Moin Nabi, Elisa Ricci

Proceedings of the Computer Vision - ECCV 2020, 2020