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ORCIDPierluigi Zama Ramirez
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2020 – today
- 2024
[j6]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): 85-102 (2024)- [j5]Fabio Tosi, Filippo Aleotti, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Neural Disparity Refinement. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8900-8917 (2024) - [j4]Pierluigi Zama Ramirez, Luca De Luigi, Daniele Sirocchi, Adriano Cardace, Riccardo Spezialetti, Francesco Ballerini, Samuele Salti, Luigi Di Stefano:
Deep Learning on Object-Centric 3D Neural Fields. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9940-9956 (2024) - [c24]Francesco Ballerini, Pierluigi Zama Ramirez, Roberto Mirabella, Samuele Salti, Luigi Di Stefano:
Connecting NeRFs, Images, and Text. CVPR Workshops 2024: 866-876 - [c23]Alex Costanzino, Pierluigi Zama Ramirez, Mirko Del Moro, Agostino Aiezzo, Giuseppe Lisanti, Samuele Salti, Luigi Di Stefano:
Test Time Training for Industrial Anomaly Segmentation. CVPR Workshops 2024: 3910-3920 - [c22]Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Yangyang Zhang, Cailin Wu, Zhuangda He, Shuangshuang Yin, Jiaxu Dong, Yangchenxu Liu, Hao Jiang, Jun Shi, Yong A, Yixiang Jin, Dingzhe Li, Bingxin Ke, Anton Obukhov, Tinafu Wang, Nando Metzger, Shengyu Huang, Konrad Schindler, Yachuan Huang, Jiaqi Li, Junrui Zhang, Yiran Wang, Zihao Huang, Tianqi Liu, Zhiguo Cao, Pengzhi Li, Jui-Lin Wang, Wenjie Zhu, Hui Geng, Yuxin Zhang, Long Lan, Kele Xu, Tao Sun, Qisheng Xu, Sourav Saini, Aashray Gupta, Sahaj K. Mistry, Aryan Shukla, Vinit Jakhetiya, Sunil Prasad Jaiswal, Yuejin Sun, Zhuofan Zheng, Yi Ning, Jen-Hao Cheng, Hou-I Liu, Hsiang-Wei Huang, Cheng-Yen Yang, Zhongyu Jiang, Yi-Hao Peng, Aishi Huang, Jenq-Neng Hwang:
NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces. CVPR Workshops 2024: 6499-6512 - [c21]Alex Costanzino, Pierluigi Zama Ramirez, Giuseppe Lisanti, Luigi Di Stefano:
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping. CVPR 2024: 17234-17243 - [c20]Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi:
Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions. ECCV (23) 2024: 236-257 - [c19]Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini, Allan Zhou, Samuele Salti, Luigi Di Stefano:
Neural Processing of Tri-Plane Hybrid Neural Fields. ICLR 2024 - [c18]Andrea Amaduzzi, Pierluigi Zama Ramirez, Giuseppe Lisanti, Samuele Salti, Luigi Di Stefano:
LLaNA: Large Language and NeRF Assistant. NeurIPS 2024 - [i27]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 abs/2404.03743 (2024) - [i26]Francesco Ballerini, Pierluigi Zama Ramirez, Roberto Mirabella, Samuele Salti, Luigi Di Stefano:
Connecting NeRFs, Images, and Text. CoRR abs/2404.07993 (2024) - [i25]Andrea Amaduzzi, Pierluigi Zama Ramirez, Giuseppe Lisanti, Samuele Salti, Luigi Di Stefano:
LLaNA: Large Language and NeRF Assistant. CoRR abs/2406.11840 (2024) - [i24]Alex Costanzino, Pierluigi Zama Ramirez, Giuseppe Lisanti, Luigi Di Stefano:
Looking for Tiny Defects via Forward-Backward Feature Transfer. CoRR abs/2407.04092 (2024) - [i23]Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi:
Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions. CoRR abs/2407.16698 (2024) - 2023
- [j3]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: 85155-85164 (2023) - [j2]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): 9981-9995 (2023) - [c17]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: 98-109 - [c16]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: 1384-1395 - [c15]Alex Costanzino, Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano:
Learning Depth Estimation for Transparent and Mirror Surfaces. ICCV 2023: 9210-9221 - [c14]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 - [c13]Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano:
Self-Distillation for Unsupervised 3D Domain Adaptation. WACV 2023: 4155-4166 - [i22]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 abs/2301.08245 (2023) - [i21]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 abs/2301.11310 (2023) - [i20]Luca De Luigi, Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano:
Deep Learning on Implicit Neural Representations of Shapes. CoRR abs/2302.05438 (2023) - [i19]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 abs/2304.02991 (2023) - [i18]Alex Costanzino, Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano:
Learning Depth Estimation for Transparent and Mirror Surfaces. CoRR abs/2307.15052 (2023) - [i17]Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini, Allan Zhou, Samuele Salti, Luigi Di Stefano:
Neural Processing of Tri-Plane Hybrid Neural Fields. CoRR abs/2310.01140 (2023) - [i16]Alex Costanzino, Pierluigi Zama Ramirez, Giuseppe Lisanti, Luigi Di Stefano:
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping. CoRR abs/2312.04521 (2023) - [i15]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 abs/2312.13277 (2023) - 2022
- [c12]Matteo Poggi, Pierluigi Zama Ramirez, Fabio Tosi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Cross-Spectral Neural Radiance Fields. 3DV 2022: 606-616 - [c11]Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation. CVPR 2022: 15937-15947 - [c10]Pierluigi Zama Ramirez, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Open Challenges in Deep Stereo: the Booster Dataset. CVPR 2022: 21136-21146 - [c9]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: 1999-2009 - [c8]Adriano Cardace, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano:
Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries. WACV 2022: 2010-2020 - [i14]Pierluigi Zama Ramirez, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Open Challenges in Deep Stereo: the Booster Dataset. CoRR abs/2206.04671 (2022) - [i13]Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation. CoRR abs/2206.07047 (2022) - [i12]Matteo Poggi, Pierluigi Zama Ramirez, Fabio Tosi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Cross-Spectral Neural Radiance Fields. CoRR abs/2209.00648 (2022) - [i11]Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano:
Self-Distillation for Unsupervised 3D Domain Adaptation. CoRR abs/2210.08226 (2022) - 2021
- [b1]Pierluigi Zama Ramirez:
Deep Scene Understanding with Limited Training Data. University of Bologna, Italy, 2021 - [j1]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: 119755-119765 (2021) - [c7]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: 207-217 - [c6]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: 331-341 - [i10]Pierluigi Zama Ramirez, Alessio Tonioni, Federico Tombari:
Unsupervised Novel View Synthesis from a Single Image. CoRR abs/2102.03285 (2021) - [i9]Adriano Cardace, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano:
Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries. CoRR abs/2110.02833 (2021) - [i8]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 abs/2110.06685 (2021) - [i7]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 abs/2110.11036 (2021) - [i6]Filippo Aleotti, Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Neural Disparity Refinement for Arbitrary Resolution Stereo. CoRR abs/2110.15367 (2021) - 2020
- [c5]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: 99-106 - [c4]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: 4653-4664 - [i5]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 abs/2003.14030 (2020)
2010 – 2019
- 2019
- [c3]Pierluigi Zama Ramirez, Alessio Tonioni, Samuele Salti, Luigi Di Stefano:
Learning Across Tasks and Domains. ICCV 2019: 8109-8118 - [i4]Pierluigi Zama Ramirez, Alessio Tonioni, Samuele Salti, Luigi Di Stefano:
Learning Across Tasks and Domains. CoRR abs/1904.04744 (2019) - [i3]Pierluigi Zama Ramirez, Claudio Paternesi, Daniele De Gregorio, Luigi Di Stefano:
Shooting Labels: 3D Semantic Labeling by Virtual Reality. CoRR abs/1910.05021 (2019) - 2018
- [c2]Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano:
Geometry Meets Semantics for Semi-supervised Monocular Depth Estimation. ACCV (3) 2018: 298-313 - [c1]Pierluigi Zama Ramirez, Alessio Tonioni, Luigi Di Stefano:
Exploiting semantics in adversarial training for image-level domain adaptation. IPAS 2018: 49-54 - [i2]Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano:
Geometry meets semantics for semi-supervised monocular depth estimation. CoRR abs/1810.04093 (2018) - [i1]Pierluigi Zama Ramirez, Alessio Tonioni, Luigi Di Stefano:
Exploiting Semantics in Adversarial Training for Image-Level Domain Adaptation. CoRR abs/1810.05852 (2018)
Coauthor Index
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