Publications & Conferences

2024

Andrea Amaduzzi, Pierluigi Zama Ramirez, Giuseppe Lisanti, Samuele Salti, Luigi Di Stefano.
LLaNA: Large Language and NeRF Assistant
NeurIPS 2024
[Project Page] [Paper]

Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Luigi Di Stefano, Jean-Baptiste Weibel, et al.
TRICKY 2024 Challenge on Monocular Depth from Images of Specular and Transparent Surfaces
ECCVW 2024

Pierluigi Zama Ramirez*, Luca De Luigi*, Daniele Sirocchi*, Adriano Cardace, Riccardo Spezialetti, Francesco Ballerini, Samuele Salti, and Luigi Di Stefano. (*Equal Contribution)
Deep Learning on Object-centric 3D Neural Fields
TPAMI 2024
[Project Page] [Paper]

Fabio Tosi, Pierluigi Zama Ramirez, and Matteo Poggi.
Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions
ECCV 2024
[Project Page]

Fabio Tosi, Filippo Aleotti, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, and Luigi Di Stefano.
Neural Disparity Refinement
TPAMI 2024
[Paper]

Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi et al. NTIRE 2024 Challenge on HR Depth From Images of Specular and Transparent Surfaces
CVPRW 2024
[Paper]

Alex Costanzino, Pierluigi Zama Ramirez, Mirko Del Moro, Agostino Aiezzo, Giuseppe Lisanti, and Luigi Di Stefano.
Test Time Training for Industrial Anomaly Segmentation
CVPRW 2024
[Paper]

Francesco Ballerini, Pierluigi Zama Ramirez, Roberto Mirabella, Samuele Salti, and Luigi Di Stefano.
Connecting NeRFs, Images, and Text
CVPRW 2024
[Project Page] [Paper]

Alex Costanzino*, Pierluigi Zama Ramirez*, Giuseppe Lisanti, and Luigi Di Stefano.
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping
CVPR 2024
[Project Page] [Paper]

Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini, Allan Zhou, Samuele Salti, and Luigi Di Stefano.
Neural Processing of Tri-Plane Hybrid Neural Fields
ICLR 2024
[Project Page] [Paper]

2023

Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, and Luigi Di Stefano.
Booster: a Benchmark for Depth from Images of Specular and Transparent Surfaces
TPAMI 2023
[Project Page] [Paper]

Adriano Cardace, Andrea Conti, Pierluigi Zama Ramirez, Riccardo Spezialetti, Samuele Salti, and Luigi Di Stefano.
Boosting Multi-Modal Unsupervised Domain Adaptation for LiDAR Semantic Segmentation by Self-Supervised Depth Completion
IEEE Access
[Project Page] [Paper]

Alex Costanzino*, Pierluigi Zama Ramirez*, Matteo Poggi*, Fabio Tosi, Stefano Mattoccia, and Luigi Di Stefano.
Learning Depth Estimation for Transparent and Mirror Surfaces
ICCV 2023
[Project Page] [Paper]

Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, and Stefano Mattoccia.
NTIRE 2023 Challenge on HR Depth from Images of Specular and Transparent Surfaces.
CVPRW 2023
[Paper]

Adriano Cardace, Pierluigi Zama Ramirez, Samuele Salti, and Luigi Di Stefano.
Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation.
CVPRW 2023
[Paper] [Code]

Luca De Luigi*, Adriano Cardace*, Riccardo Spezialetti*, Pierluigi Zama Ramirez, Samuele Salti, and Luigi Di Stefano (*Equal Contribution)
Deep Learning on Implicit Neural Representations of Shapes.
ICLR 2023
[Project Page] [Paper]

Pierluigi Zama Ramirez*, Adriano Cardace*, Luca De Luigi*, Alessio Tonioni, Samuele Salti, and Luigi Di Stefano. (*Equal Contribution)
Learning Good Features to Transfer Across Tasks and Domains.
TPAMI 2023
[Paper]

Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, and Luigi Di Stefano.
Self-Distillation for Unsupervised 3D Domain Adaptation.
WACV 2023
[Project Page] [Paper]

2022

Matteo Poggi*, Pierluigi Zama Ramirez*, Fabio Tosi*, Samuele Salti, Stefano Mattoccia, and Luigi Di Stefano. (*Equal Contribution)
Cross-Spectral Neural Radiance Fields.
3DV 2022
[Project Page] [Paper]

Pierluigi Zama Ramirez*, Fabio Tosi*, Matteo Poggi*, Samuele Salti, Stefano Mattocia, and Luigi Di Stefano. (*Equal Contribution)
Open Challenges in Deep Stereo: the Booster Dataset
CVPR 2022
[Project Page] [Paper]

Fabio Tosi*, Pierluigi Zama Ramirez*, Matteo Poggi*, Samuele Salti, Stefano Mattocia, and Luigi Di Stefano. (*Equal Contribution)
RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation
CVPR 2022
[Project Page] [Paper]

Adriano Cardace, Luca De Luigi, Pierluigi Zama Ramirez, Samuele Salti, and Luigi Di Stefano.
Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation.
WACV 2022
[Project Page] [Paper]

Adriano Cardace, Pierluigi Zama Ramirez, Samuele Salti, and Luigi Di Stefano.
Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries.
WACV 2022
[Paper]

2021

Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, and Luigi Di Stefano.
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation.
3DV 2021. Oral
[Project Page] [Paper]

Filippo Aleotti*, Fabio Tosi*, Pierluigi Zama Ramirez*, Matteo Poggi, Samuele Salti, Stefano Mattoccia, and Luigi Di Stefano. (*Equal Contribution)
Neural Disparity Refinement for Arbitrary Resolution Stereo
3DV 2021. Best Paper Honorable Mention
[Project Page] [Paper]

Daniele De Gregorio, Matteo Poggi, Pierluigi Zama Ramirez, Gianluca Palli, Stefano Mattoccia, and Luigi Di Stefano.
Beyond the baseline: 3D reconstruction of tiny objects with Single camera Stereo Robot.
IEEE Access
[Paper]

2020

Pierluigi Zama Ramirez, Claudio Paternesi, Luca De Luigi, Daniele De Gregorio, and Luigi Di Stefano.
Shooting Labels: 3D Semantic Labeling by Virtual Reality
AIVR 2020. Best Paper Nominee
[Project Page] [Paper]

Fabio Tosi*, Filippo Aleotti*, Pierluigi Zama Ramirez*, Matteo Poggi, Samuele Salti, Stefano Mattocia, and Luigi Di Stefano. (*Equal Contribution)
Distilled Semantics for Comprehensive Scene Understanding from Videos
CVPR 2020
[Project Page] [Paper]

2019

Pierluigi Zama Ramirez, Alessio Tonioni, Samuele Salti, and Luigi Di Stefano.
Learning Across Tasks and Domains
ICCV 2019
[Project Page] [Paper]

Pierluigi Zama Ramirez, Claudio Paternesi, Daniele De Gregorio, and Luigi Di Stefano.
Shooting Labels by Virtual Reality.
CVPRW 2019
[Paper]

2018

Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, and Luigi Di Stefano.
Geometry meets semantics for semi-supervised monocular depth estimation.
ACCV 2018
[Project Page] [Paper]

Pierluigi Zama Ramirez, Alessio Tonioni, and Luigi Di Stefano.
Exploiting Semantics in Adversarial Training for Image-Level Domain Adaptation.
International Conference on Image Processing, Applications and Systems (IPAS) 2018
[Paper]

Pierluigi Zama Ramirez, Alessio Tonioni, and Luigi Di Stefano.
Domain Adaptation by a Semantic-Aware GAN.
European Machine Vision Association Forum (EMVF) 2018. Oral presentation

Daniele De Gregorio, Pierluigi Zama Ramirez, and Luigi Di Stefano.
Large Scale 3D Semantic Mapping.
European Machine Vision Association Forum (EMVF) 2018. Oral presentation

Pierluigi Zama Ramirez, Alessio Tonioni, and Luigi Di Stefano.
A Novel Generative Model to Synthetize Realistic Training Images.
Conference on Imaging Science (SIAM) 2018
[Poster]

Arxiv

Pierluigi Zama Ramirez, Alessio Tonioni, and Federico Tombari.
Unsupervised Novel View Synthesis from a Single Image
[Paper]