Publications & Conferences

2024

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

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

2023

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

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

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

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

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

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

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

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

2022

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

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

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

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

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

2021

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

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

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

2020

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

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

2019

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

Zama Ramirez, Pierluigi, Paternesi, Claudio, De Gregorio, Daniele, Di Stefano, Luigi.
Shooting Labels by Virtual Reality.
Third Workshop on Computer Vision for AR/VR. CVPRW 2019
[Paper]

2018

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

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

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

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

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

Arxiv

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

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