Pierluigi Zama Ramirez

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 49

Top Topics

Trinocular Stereo

Depth Estimation

Diffusion Models

Domain Adaptation

Top Venues

Publications

Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi
Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions. CoRR (2024)
Alex Costanzino, Pierluigi Zama Ramirez, Giuseppe Lisanti, Luigi Di Stefano
Looking for Tiny Defects via Forward-Backward Feature Transfer. CoRR (2024)
Alex Costanzino, Pierluigi Zama Ramirez, Mirko Del Moro, Agostino Aiezzo, Giuseppe Lisanti, Samuele Salti, Luigi Di Stefano
Test Time Training for Industrial Anomaly Segmentation. CoRR (2024)
Andrea Amaduzzi, Pierluigi Zama Ramirez, Giuseppe Lisanti, Samuele Salti, Luigi Di Stefano
LLaNA: Large Language and NeRF Assistant. CoRR (2024)
Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini, Allan Zhou, Samuele Salti, Luigi Di Stefano
Neural Processing of Tri-Plane Hybrid Neural Fields. ICLR (2024)
Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
Booster: A Benchmark for Depth From Images of Specular and Transparent Surfaces. IEEE Trans. Pattern Anal. Mach. Intell. 46 (1) (2024)
Francesco Ballerini, Pierluigi Zama Ramirez, Roberto Mirabella, Samuele Salti, Luigi Di Stefano
Connecting NeRFs, Images, and Text. CoRR (2024)
Pierluigi Zama Ramirez, Adriano Cardace, Luca De Luigi, Alessio Tonioni, Samuele Salti, Luigi Di Stefano
Learning Good Features to Transfer Across Tasks and Domains. CoRR (2023)
Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini, Allan Zhou, Samuele Salti, Luigi Di Stefano
Neural Processing of Tri-Plane Hybrid Neural Fields. CoRR (2023)
Luca De Luigi, Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
Deep Learning on Implicit Neural Representations of Shapes. ICLR (2023)
Pierluigi Zama Ramirez, Luca De Luigi, Daniele Sirocchi, Adriano Cardace, Riccardo Spezialetti, Francesco Ballerini, Samuele Salti, Luigi Di Stefano
Deep Learning on 3D Neural Fields. CoRR (2023)
Luca De Luigi, Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
Deep Learning on Implicit Neural Representations of Shapes. CoRR (2023)
Alex Costanzino, Pierluigi Zama Ramirez, Giuseppe Lisanti, Luigi Di Stefano
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping. CoRR (2023)
Alex Costanzino, Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano
Learning Depth Estimation for Transparent and Mirror Surfaces. ICCV (2023)
Adriano Cardace, Andrea Conti, Pierluigi Zama Ramirez, Riccardo Spezialetti, Samuele Salti, Luigi Di Stefano
Boosting Multi-Modal Unsupervised Domain Adaptation for LiDAR Semantic Segmentation by Self-Supervised Depth Completion. IEEE Access 11 (2023)
Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
Self-Distillation for Unsupervised 3D Domain Adaptation. WACV (2023)
Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
Booster: a Benchmark for Depth from Images of Specular and Transparent Surfaces. CoRR (2023)
Alex Costanzino, Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano
Learning Depth Estimation for Transparent and Mirror Surfaces. CoRR (2023)
Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Jun Shi, Dafeng Zhang, Yong A, Yixiang Jin, Dingzhe Li, Chao Li, Zhiwen Liu, Qi Zhang, Yixing Wang, Shi Yin
NTIRE 2023 Challenge on HR Depth from Images of Specular and Transparent Surfaces. CVPR Workshops (2023)
Adriano Cardace, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation. CoRR (2023)
Pierluigi Zama Ramirez, Adriano Cardace, Luca De Luigi, Alessio Tonioni, Samuele Salti, Luigi Di Stefano
Learning Good Features to Transfer Across Tasks and Domains. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Adriano Cardace, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation. CVPR Workshops (2023)
Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation. CoRR (2022)
Pierluigi Zama Ramirez, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
Open Challenges in Deep Stereo: the Booster Dataset. CoRR (2022)
Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation. CVPR (2022)
Pierluigi Zama Ramirez, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
Open Challenges in Deep Stereo: the Booster Dataset. CVPR (2022)
Matteo Poggi, Pierluigi Zama Ramirez, Fabio Tosi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
Cross-Spectral Neural Radiance Fields. 3DV (2022)
Matteo Poggi, Pierluigi Zama Ramirez, Fabio Tosi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
Cross-Spectral Neural Radiance Fields. CoRR (2022)
Adriano Cardace, Luca De Luigi, Pierluigi Zama Ramirez, Samuele Salti, Luigi di Stefano
Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation. WACV (2022)
Adriano Cardace, Pierluigi Zama Ramirez, Samuele Salti, Luigi di Stefano
Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries. WACV (2022)
Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
Self-Distillation for Unsupervised 3D Domain Adaptation. CoRR (2022)
Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi di Stefano
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation. 3DV (2021)
Adriano Cardace, Pierluigi Zama Ramirez, Samuele Salti, Luigi di Stefano
Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries. CoRR (2021)
Filippo Aleotti, Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi di Stefano
Neural Disparity Refinement for Arbitrary Resolution Stereo. 3DV (2021)
Pierluigi Zama Ramirez, Alessio Tonioni, Federico Tombari
Unsupervised Novel View Synthesis from a Single Image. CoRR (2021)
Daniele De Gregorio, Matteo Poggi, Pierluigi Zama Ramirez, Gianluca Palli, Stefano Mattoccia, Luigi di Stefano
Beyond the Baseline: 3D Reconstruction of Tiny Objects With Single Camera Stereo Robot. IEEE Access 9 (2021)
Filippo Aleotti, Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi di Stefano
Neural Disparity Refinement for Arbitrary Resolution Stereo. CoRR (2021)
Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi di Stefano
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation. CoRR (2021)
Adriano Cardace, Luca De Luigi, Pierluigi Zama Ramirez, Samuele Salti, Luigi di Stefano
Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation. CoRR (2021)
Fabio Tosi, Filippo Aleotti, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Luigi di Stefano, Stefano Mattoccia
Distilled Semantics for Comprehensive Scene Understanding from Videos. CVPR (2020)
Pierluigi Zama Ramirez, Claudio Paternesi, Luca De Luigi, Luigi Lella, Daniele De Gregorio, Luigi di Stefano
Shooting Labels: 3D Semantic Labeling by Virtual Reality. AIVR (2020)
Fabio Tosi, Filippo Aleotti, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Luigi di Stefano, Stefano Mattoccia
Distilled Semantics for Comprehensive Scene Understanding from Videos. CoRR (2020)
Pierluigi Zama Ramirez, Alessio Tonioni, Samuele Salti, Luigi di Stefano
Learning Across Tasks and Domains. ICCV (2019)
Pierluigi Zama Ramirez, Claudio Paternesi, Daniele De Gregorio, Luigi di Stefano
Shooting Labels: 3D Semantic Labeling by Virtual Reality. CoRR (2019)
Pierluigi Zama Ramirez, Alessio Tonioni, Samuele Salti, Luigi di Stefano
Learning Across Tasks and Domains. CoRR (2019)
Pierluigi Zama Ramirez, Alessio Tonioni, Luigi di Stefano
Exploiting semantics in adversarial training for image-level domain adaptation. IPAS (2018)
Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi di Stefano
Geometry meets semantics for semi-supervised monocular depth estimation. CoRR (2018)
Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi di Stefano
Geometry Meets Semantics for Semi-supervised Monocular Depth Estimation. ACCV (3) (2018)
Pierluigi Zama Ramirez, Alessio Tonioni, Luigi di Stefano
Exploiting Semantics in Adversarial Training for Image-Level Domain Adaptation. CoRR (2018)