REGE CAMBRIN, DANIELE
REGE CAMBRIN, DANIELE
Dipartimento di Automatica e Informatica
090615
Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation
In corso di stampa REGE CAMBRIN, Daniele; Corley, Isaac; Garza, Paolo
Estimating Earthquake Magnitude in Sentinel-1 Imagery via Ranking
In corso di stampa REGE CAMBRIN, Daniele; Corley, Isaac; Garza, Paolo; Najafirad, Peyman
KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation
In corso di stampa REGE CAMBRIN, Daniele; Poeta, Eleonora; Pastor, Eliana; Cerquitelli, Tania; Baralis, Elena; Garza, Paolo
Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment
In corso di stampa REGE CAMBRIN, Daniele; SCAFFIDI MILITONE, Gabriele; Colomba, Luca; Malnati, Giovanni; Apiletti, Daniele; Garza, Paolo
Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-Tuning
2024 Rege Cambrin, Daniele; Gallipoli, Giuseppe; Benedetto, Irene; Cagliero, Luca; Garza, Paolo
DQNC2S: DQN-based Cross-stream Crisis event Summarizer
2024 Rege Cambrin, Daniele; Cagliero, Luca; Garza, Paolo
Paraphrase Loss for Abstractive Summarization
2024 REGE CAMBRIN, Daniele; Garza, Paolo
QuakeSet: A Dataset and Low-Resource Models to Monitor Earthquakes through Sentinel-1
2024 Rege Cambrin, Daniele; Garza, Paolo
A Model-based Curriculum Learning Strategy for Training SegFormer
2023 Rege Cambrin, Daniele; Apiletti, Daniele; Garza, Paolo
CaBuAr: California burned areas dataset for delineation [Software and Data Sets]
2023 Rege Cambrin, Daniele; Colomba, Luca; Garza, Paolo
DANTE at GeoLingIt: Dialect-Aware Multi-Granularity Pre-training for Locating Tweets within Italy
2023 Gallipoli, Giuseppe; LA QUATRA, Moreno; REGE CAMBRIN, Daniele; Greco, Salvatore; Cagliero, Luca
Designing Logic Tensor Networks for Visual Sudoku puzzle classification
2023 Morra, Lia; Azzari, Alberto; Bergamasco, Letizia; Braga, Marco; Capogrosso, Luigi; Delrio, Federico; DI GIACOMO, Giuseppe; Eiraudo, Simone; Ghione, Giorgia; Giudice, Rocco; Koudounas, Alkis; Piano, Luca; REGE CAMBRIN, Daniele; Risso, Matteo; Rondina, Marco; Russo, ALESSANDRO SEBASTIAN; Russo, Marco; Taioli, Francesco; Vaiani, Lorenzo; Vercellino, Chiara
Vision Transformers for Burned Area Delineation
2023 Rege Cambrin, Daniele; Colomba, Luca; Garza, Paolo
Citazione | Data di pubblicazione | Autori | File |
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Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation / REGE CAMBRIN, Daniele; Corley, Isaac; Garza, Paolo. - (In corso di stampa). (Intervento presentato al convegno European Conference on Computer Vision). | In corso di stampa | Daniele Rege CambrinPaolo Garza + | ECCV_2024_CV4E.pdf |
Estimating Earthquake Magnitude in Sentinel-1 Imagery via Ranking / REGE CAMBRIN, Daniele; Corley, Isaac; Garza, Paolo; Najafirad, Peyman. - (In corso di stampa). (Intervento presentato al convegno European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases). | In corso di stampa | Daniele Rege CambrinPaolo Garza + | ECML_PKDD_MACLEAN_2024_Estimating_Earthquake_Magnitude_in_Sentinel_1_Imagery_via_Ranking.pdf |
KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation / REGE CAMBRIN, Daniele; Poeta, Eleonora; Pastor, Eliana; Cerquitelli, Tania; Baralis, Elena; Garza, Paolo. - (In corso di stampa). (Intervento presentato al convegno European Conference on Computer Vision). | In corso di stampa | Daniele Rege CambrinEleonora PoetaEliana PastorTania CerquitelliElena BaralisPaolo Garza | ECCV_2024_CVPPA.pdf |
Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment / REGE CAMBRIN, Daniele; SCAFFIDI MILITONE, Gabriele; Colomba, Luca; Malnati, Giovanni; Apiletti, Daniele; Garza, Paolo. - ELETTRONICO. - (In corso di stampa). (Intervento presentato al convegno CV2: Computer Vision for Videogames Workshop at ECCV2024 tenutosi a Milano (Italy) nel 29/09/2024). | In corso di stampa | Daniele Rege CambrinGabriele Scaffidi MilitoneLuca ColombaGiovanni MalnatiDaniele ApilettiPaolo Garza | ECCV2024_CV2_arxiv.pdf |
Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-Tuning / Rege Cambrin, Daniele; Gallipoli, Giuseppe; Benedetto, Irene; Cagliero, Luca; Garza, Paolo. - (2024), pp. 12060-12079. (Intervento presentato al convegno The 2024 Conference on Empirical Methods in Natural Language Processing tenutosi a Miami, Florida nel November 12 –16, 2024) [10.18653/v1/2024.findings-emnlp.704]. | 1-gen-2024 | Rege Cambrin, DanieleGallipoli, GiuseppeBenedetto, IreneCagliero, LucaGarza, Paolo | 2024.findings-emnlp.704.pdf |
DQNC2S: DQN-based Cross-stream Crisis event Summarizer / Rege Cambrin, Daniele; Cagliero, Luca; Garza, Paolo. - 14610:(2024), pp. 422-430. (Intervento presentato al convegno 46th European Conference on Information Retrieval. ECIR 2024 tenutosi a Glasgow (UK) nel March 24–28, 2024) [10.1007/978-3-031-56063-7_34]. | 1-gen-2024 | Rege Cambrin, DanieleCagliero, LucaGarza, Paolo | ECIR2024.pdf; 978-3-031-56063-7_34.pdf |
Paraphrase Loss for Abstractive Summarization / REGE CAMBRIN, Daniele; Garza, Paolo. - (2024). (Intervento presentato al convegno International Conference on Learning Representations tenutosi a Vienna (AUT) nel May 11, 2024). | 1-gen-2024 | Daniele Rege CambrinPaolo Garza | 53_Paraphrase_Loss_for_Abstrac.pdf |
QuakeSet: A Dataset and Low-Resource Models to Monitor Earthquakes through Sentinel-1 / Rege Cambrin, Daniele; Garza, Paolo. - 21:(2024). (Intervento presentato al convegno Information Systems for Crisis Response and Management Conference tenutosi a Münster (DEU) nel May 25-29, 2024). | 1-gen-2024 | Rege Cambrin, DanieleGarza, Paolo | ISCRAM2024.pdf |
A Model-based Curriculum Learning Strategy for Training SegFormer / Rege Cambrin, Daniele; Apiletti, Daniele; Garza, Paolo. - (2023), pp. 1-6. (Intervento presentato al convegno IEEE 17th International Conference Application of Information and Communication Technologies tenutosi a Baku (AZ) nel 18-20 October 2023) [10.1109/AICT59525.2023.10313143]. | 1-gen-2023 | Rege Cambrin, DanieleApiletti, DanieleGarza, Paolo | aict.pdf; A_Model-based_Curriculum_Learning_Strategy_for_Training_SegFormer.pdf |
CaBuAr: California burned areas dataset for delineation [Software and Data Sets] / Rege Cambrin, Daniele; Colomba, Luca; Garza, Paolo. - In: IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE. - ISSN 2168-6831. - 11:3(2023), pp. 106-113. [10.1109/MGRS.2023.3292467] | 1-gen-2023 | Rege Cambrin, DanieleColomba, LucaGarza, Paolo | MGRS3292467.pdf; CaBuAr_California_burned_areas_dataset_for_delineation_Software_and_Data_Sets.pdf |
DANTE at GeoLingIt: Dialect-Aware Multi-Granularity Pre-training for Locating Tweets within Italy / Gallipoli, Giuseppe; LA QUATRA, Moreno; REGE CAMBRIN, Daniele; Greco, Salvatore; Cagliero, Luca. - 3473:(2023). (Intervento presentato al convegno EVALITA 2023 tenutosi a Parma nel September 7th-8th 2023). | 1-gen-2023 | Giuseppe GallipoliMoreno La QuatraDaniele Rege CambrinSalvatore GrecoLuca Cagliero | paper14.pdf |
Designing Logic Tensor Networks for Visual Sudoku puzzle classification / Morra, Lia; Azzari, Alberto; Bergamasco, Letizia; Braga, Marco; Capogrosso, Luigi; Delrio, Federico; DI GIACOMO, Giuseppe; Eiraudo, Simone; Ghione, Giorgia; Giudice, Rocco; Koudounas, Alkis; Piano, Luca; REGE CAMBRIN, Daniele; Risso, Matteo; Rondina, Marco; Russo, ALESSANDRO SEBASTIAN; Russo, Marco; Taioli, Francesco; Vaiani, Lorenzo; Vercellino, Chiara. - ELETTRONICO. - 3432:(2023), pp. 223-232. (Intervento presentato al convegno 17th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2023) tenutosi a Certosa di Pontignano, Siena (Italia) nel July 3-5, 2023). | 1-gen-2023 | Lia MorraAlberto AzzariLetizia BergamascoMarco BragaLuigi CapogrossoFederico DelrioGiuseppe Di GiacomoSimone EiraudoGiorgia GhioneRocco GiudiceAlkis KoudounasLuca PianoDaniele Rege CambrinMatteo RissoMarco RondinaAlessandro RussoMarco RussoFrancesco TaioliLorenzo VaianiChiara Vercellino | NeSy_workshop_Visual_Sudoku.pdf; paper19.pdf |
Vision Transformers for Burned Area Delineation / Rege Cambrin, Daniele; Colomba, Luca; Garza, Paolo. - 3343:(2023). (Intervento presentato al convegno MACLEAN: MAChine Learning for EArth ObservatioN (workshop @ECML/PKDD2022) tenutosi a Grenoble (FR) nel 19/09/2022). | 1-gen-2023 | Rege Cambrin,DanieleColomba, LucaGarza, Paolo | MACLEAN2022_paper.pdf; MACLEAN2022_paper_final.pdf |