Enrico Fini

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 33

Top Topics

Semantic Segmentation

Top Venues

IEEE Trans. Multim.

Publications

Alessandro Conti, Enrico Fini, Paolo Rota, Yiming Wang, Massimiliano Mancini, Elisa Ricci
Automatic benchmarking of large multimodal models via iterative experiment programming. CoRR (2024)
Umberto Cappellazzo, Enrico Fini, Muqiao Yang, Daniele Falavigna, Alessio Brutti, Bhiksha Raj
Continual Contrastive Spoken Language Understanding. ACL (Findings) (2024)
Shirsha Bose, Ankit Jha, Enrico Fini, Mainak Singha, Elisa Ricci, Biplab Banerjee
StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization. WACV (2024)
Alessandro Conti, Enrico Fini, Massimiliano Mancini, Paolo Rota, Yiming Wang, Elisa Ricci
Vocabulary-free Image Classification and Semantic Segmentation. CoRR (2024)
Alessandro Conti, Enrico Fini, Massimiliano Mancini, Paolo Rota, Yiming Wang, Elisa Ricci
Vocabulary-free Image Classification. CoRR (2023)
Zhiqi Kang, Enrico Fini, Moin Nabi, Elisa Ricci, Karteek Alahari
A soft nearest-neighbor framework for continual semi-supervised learning. ICCV (2023)
Enrico Fini, Pietro Astolfi, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal
Improved baselines for vision-language pre-training. CoRR (2023)
Umberto Cappellazzo, Enrico Fini, Muqiao Yang, Daniele Falavigna, Alessio Brutti, Bhiksha Raj
Continual Contrastive Spoken Language Understanding. CoRR (2023)
Enrico Fini, Pietro Astolfi, Karteek Alahari, Xavier Alameda-Pineda, Julien Mairal, Moin Nabi, Elisa Ricci
Semi-supervised learning made simple with self-supervised clustering. CVPR (2023)
Enrico Fini, Pietro Astolfi, Karteek Alahari, Xavier Alameda-Pineda, Julien Mairal, Moin Nabi, Elisa Ricci
Semi-supervised learning made simple with self-supervised clustering. CoRR (2023)
Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Moin Nabi, Xavier Alameda-Pineda, Elisa Ricci
Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Hao Tang, Xavier Alameda-Pineda, Elisa Ricci
Continual Attentive Fusion for Incremental Learning in Semantic Segmentation. IEEE Trans. Multim. 25 (2023)
Enrico Fini, Pietro Astolfi, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal
Improved baselines for vision-language pre-training. Trans. Mach. Learn. Res. 2023 (2023)
Shirsha Bose, Enrico Fini, Ankit Jha, Mainak Singha, Biplab Banerjee, Elisa Ricci
StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization. CoRR (2023)
Alessandro Conti, Enrico Fini, Massimiliano Mancini, Paolo Rota, Yiming Wang, Elisa Ricci
Vocabulary-free Image Classification. NeurIPS (2023)
Riccardo Franceschini, Enrico Fini, Cigdem Beyan, Alessandro Conti, Federica Arrigoni, Elisa Ricci
Multimodal Emotion Recognition with Modality-Pairwise Unsupervised Contrastive Loss. ICPR (2022)
Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Moin Nabi, Xavier Alameda-Pineda, Elisa Ricci
Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation. CoRR (2022)
Zhiqi Kang, Enrico Fini, Moin Nabi, Elisa Ricci, Karteek Alahari
A soft nearest-neighbor framework for continual semi-supervised learning. CoRR (2022)
Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, Julien Mairal
Self-Supervised Models are Continual Learners. CVPR (2022)
Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Hao Tang, Xavier Alameda-Pineda, Elisa Ricci
Continual Attentive Fusion for Incremental Learning in Semantic Segmentation. CoRR (2022)
Victor Guilherme Turrisi da Costa, Enrico Fini, Moin Nabi, Nicu Sebe, Elisa Ricci
solo-learn: A Library of Self-supervised Methods for Visual Representation Learning. J. Mach. Learn. Res. 23 (2022)
Riccardo Franceschini, Enrico Fini, Cigdem Beyan, Alessandro Conti, Federica Arrigoni, Elisa Ricci
Multimodal Emotion Recognition with Modality-Pairwise Unsupervised Contrastive Loss. CoRR (2022)
Enrico Fini, Enver Sangineto, Stéphane Lathuilière, Zhun Zhong, Moin Nabi, Elisa Ricci
A Unified Objective for Novel Class Discovery. CoRR (2021)
Victor G. Turrisi da Costa, Enrico Fini, Moin Nabi, Nicu Sebe, Elisa Ricci
Solo-learn: A Library of Self-supervised Methods for Visual Representation Learning. CoRR (2021)
Enrico Fini, Enver Sangineto, Stéphane Lathuilière, Zhun Zhong, Moin Nabi, Elisa Ricci
A Unified Objective for Novel Class Discovery. ICCV (2021)
Zhun Zhong, Enrico Fini, Subhankar Roy, Zhiming Luo, Elisa Ricci, Nicu Sebe
Neighborhood Contrastive Learning for Novel Class Discovery. CoRR (2021)
Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, Julien Mairal
Self-Supervised Models are Continual Learners. CoRR (2021)
Zhun Zhong, Enrico Fini, Subhankar Roy, Zhiming Luo, Elisa Ricci, Nicu Sebe
Neighborhood Contrastive Learning for Novel Class Discovery. CVPR (2021)
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
Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound. IEEE Trans. Medical Imaging 39 (8) (2020)
Enrico Fini, Alessio Brutti
Supervised Online Diarization with Sample Mean Loss for Multi-Domain Data. ICASSP (2020)
Enrico Fini, Stéphane Lathuilière, Enver Sangineto, Moin Nabi, Elisa Ricci
Online Continual Learning under Extreme Memory Constraints. CoRR (2020)
Enrico Fini, Stéphane Lathuilière, Enver Sangineto, Moin Nabi, Elisa Ricci
Online Continual Learning Under Extreme Memory Constraints. ECCV (28) (2020)
Enrico Fini, Alessio Brutti
Supervised online diarization with sample mean loss for multi-domain data. CoRR (2019)