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ORCIDEnrico Fini
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2020 – today
- 2024
[c12]Umberto Cappellazzo, Enrico Fini, Muqiao Yang, Daniele Falavigna, Alessio Brutti, Bhiksha Raj:
Continual Contrastive Spoken Language Understanding. ACL (Findings) 2024: 3727-3741- [c11]Nicola Dall'Asen, Yiming Wang, Enrico Fini, Elisa Ricci:
Retrieval-enriched zero-shot image classification in low-resource domains. EMNLP 2024: 21287-21302 - [c10]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: 5530-5540 - [i18]Alessandro Conti, Enrico Fini, Massimiliano Mancini, Paolo Rota, Yiming Wang, Elisa Ricci:
Vocabulary-free Image Classification and Semantic Segmentation. CoRR abs/2404.10864 (2024) - [i17]Alessandro Conti, Enrico Fini, Paolo Rota, Yiming Wang, Massimiliano Mancini, Elisa Ricci:
Automatic benchmarking of large multimodal models via iterative experiment programming. CoRR abs/2406.12321 (2024) - [i16]Aryo Lotfi, Enrico Fini, Samy Bengio, Moin Nabi, Emmanuel Abbe:
Visual Scratchpads: Enabling Global Reasoning in Vision. CoRR abs/2410.08165 (2024) - 2023
- [j5]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): 2567-2581 (2023) - [j4]Enrico Fini, Pietro Astolfi, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal:
Improved baselines for vision-language pre-training. Trans. Mach. Learn. Res. 2023 (2023) - [j3]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: 3841-3854 (2023) - [c9]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: 3187-3197 - [c8]Zhiqi Kang, Enrico Fini, Moin Nabi, Elisa Ricci, Karteek Alahari:
A soft nearest-neighbor framework for continual semi-supervised learning. ICCV 2023: 11834-11843 - [c7]Alessandro Conti, Enrico Fini, Massimiliano Mancini, Paolo Rota, Yiming Wang, Elisa Ricci:
Vocabulary-free Image Classification. NeurIPS 2023 - [i15]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 abs/2302.09251 (2023) - [i14]Enrico Fini, Pietro Astolfi, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal:
Improved baselines for vision-language pre-training. CoRR abs/2305.08675 (2023) - [i13]Alessandro Conti, Enrico Fini, Massimiliano Mancini, Paolo Rota, Yiming Wang, Elisa Ricci:
Vocabulary-free Image Classification. CoRR abs/2306.00917 (2023) - [i12]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 abs/2306.07483 (2023) - [i11]Umberto Cappellazzo, Enrico Fini, Muqiao Yang, Daniele Falavigna, Alessio Brutti, Bhiksha Raj:
Continual Contrastive Spoken Language Understanding. CoRR abs/2310.02699 (2023) - 2022
- [j2]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: 56:1-56:6 (2022) - [c6]Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, Julien Mairal:
Self-Supervised Models are Continual Learners. CVPR 2022: 9611-9620 - [c5]Riccardo Franceschini, Enrico Fini, Cigdem Beyan, Alessandro Conti, Federica Arrigoni, Elisa Ricci:
Multimodal Emotion Recognition with Modality-Pairwise Unsupervised Contrastive Loss. ICPR 2022: 2589-2596 - [i10]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 abs/2202.00432 (2022) - [i9]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 abs/2203.14098 (2022) - [i8]Riccardo Franceschini, Enrico Fini, Cigdem Beyan, Alessandro Conti, Federica Arrigoni, Elisa Ricci:
Multimodal Emotion Recognition with Modality-Pairwise Unsupervised Contrastive Loss. CoRR abs/2207.11482 (2022) - [i7]Zhiqi Kang, Enrico Fini, Moin Nabi, Elisa Ricci, Karteek Alahari:
A soft nearest-neighbor framework for continual semi-supervised learning. CoRR abs/2212.05102 (2022) - 2021
- [c4]Zhun Zhong, Enrico Fini, Subhankar Roy, Zhiming Luo, Elisa Ricci, Nicu Sebe:
Neighborhood Contrastive Learning for Novel Class Discovery. CVPR 2021: 10867-10875 - [c3]Enrico Fini, Enver Sangineto, Stéphane Lathuilière, Zhun Zhong, Moin Nabi, Elisa Ricci:
A Unified Objective for Novel Class Discovery. ICCV 2021: 9264-9272 - [i6]Zhun Zhong, Enrico Fini, Subhankar Roy, Zhiming Luo, Elisa Ricci, Nicu Sebe:
Neighborhood Contrastive Learning for Novel Class Discovery. CoRR abs/2106.10731 (2021) - [i5]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 abs/2108.01775 (2021) - [i4]Enrico Fini, Enver Sangineto, Stéphane Lathuilière, Zhun Zhong, Moin Nabi, Elisa Ricci:
A Unified Objective for Novel Class Discovery. CoRR abs/2108.08536 (2021) - [i3]Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, Julien Mairal:
Self-Supervised Models are Continual Learners. CoRR abs/2112.04215 (2021) - 2020
- [j1]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): 2676-2687 (2020) - [c2]Enrico Fini, Stéphane Lathuilière, Enver Sangineto, Moin Nabi, Elisa Ricci:
Online Continual Learning Under Extreme Memory Constraints. ECCV (28) 2020: 720-735 - [c1]Enrico Fini, Alessio Brutti:
Supervised Online Diarization with Sample Mean Loss for Multi-Domain Data. ICASSP 2020: 7134-7138 - [i2]Enrico Fini, Stéphane Lathuilière, Enver Sangineto, Moin Nabi, Elisa Ricci:
Online Continual Learning under Extreme Memory Constraints. CoRR abs/2008.01510 (2020)
2010 – 2019
- 2019
- [i1]Enrico Fini, Alessio Brutti:
Supervised online diarization with sample mean loss for multi-domain data. CoRR abs/1911.01266 (2019)
Coauthor Index
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