Pierluigi Zama Ramirez

69 papers A* 9A 3C 1Journal 40Unranked 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
Embed Any NeRF: Graph Meta-Networks for Neural Tasks on Arbitrary NeRF Architectures.
CoRR
Francesco Ballerini, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
2025 J jnl
Learning to Be a Transformer to Pinpoint Anomalies.
IEEE Access
Alex Costanzino, Pierluigi Zama Ramirez, Giuseppe Lisanti, Luigi Di Stefano
2025 J jnl
Multimodal SAM-Adapter for Semantic Segmentation.
IEEE Access
Iacopo Curti, Pierluigi Zama Ramirez, Alioscia Petrelli, Luigi Di Stefano
2025 J jnl
Multimodal SAM-adapter for Semantic Segmentation.
CoRR
Iacopo Curti, Pierluigi Zama Ramirez, Alioscia Petrelli, Luigi Di Stefano
2025 — conf
NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces.
CVPR Workshops
Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Zhe Zhang, Yang Yang, Wu Chen, Anlong Ming, Mingshuai Zhao, Mengying Yu, Shida Gao, Xiangfeng Wang, Feng Xue, Jun Shi, Yong Yang, Yong A, Yixiang Jin, Dingzhe Li, Aryan Shukla, Liam Frija-Altarac, Matthew Toews, Hui Geng, Tianjiao Wan, Zijian Gao, Qisheng Xu, Kele Xu, Zijian Zang, Jameer Babu Pinjari, Kuldeep Purohit, Mykola Lavreniuk, Jing Cao, Shenyi Li, Kui Jiang, Junjun Jiang, Yong Huang
2025 J jnl
NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces.
CoRR
Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Zhe Zhang, Yang Yang, Wu Chen, Anlong Ming, Mingshuai Zhao, Mengying Yu, Shida Gao, Xiangfeng Wang, Feng Xue, Jun Shi, Yong Yang, Yong A, Yixiang Jin, Dingzhe Li, Aryan Shukla, Liam Frija-Altarac, Matthew Toews, Hui Geng, Tianjiao Wan, Zijian Gao, Qisheng Xu, Kele Xu, Zijian Zang, Jameer Babu Pinjari, Kuldeep Purohit, Mykola Lavreniuk, Jing Cao, Shenyi Li, Kui Jiang, Junjun Jiang, Yong Huang
2025 J jnl
Scaling LLaNA: Advancing NeRF-Language Understanding Through Large-Scale Training.
CoRR
Andrea Amaduzzi, Pierluigi Zama Ramirez, Giuseppe Lisanti, Samuele Salti, Luigi Di Stefano
2025 J jnl
SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark.
CoRR
Alex Costanzino, Pierluigi Zama Ramirez, Luigi Lella, Matteo Ragaglia, Alessandro Oliva, Giuseppe Lisanti, Luigi Di Stefano
2025 — conf
TRICKY 2025 Challenge on Monocular Depth from Images of Specular and Transparent Surfaces.
ICCVW
Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Luigi Di Stefano, Jean-Baptiste Weibel, Doris Antensteiner, Markus Vincze, Benjamin Busam, Guangyao Zhai, Weihang Li, Junwen Huang, HyunJun Jung, Mykola Lavreniuk, Pihai Sun, Yijun Luo, Hongtao Wang, Manying Gao, Kui Jiang, Junjun Jiang
2025 — conf
TRICKY 2025 HouseCat6D Object Pose Estimation Challenge with Specular and Transparent Surfaces.
ICCVW
Weihang Li, Junwen Huang, HyunJun Jung, Guangyao Zhai, Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Luigi Di Stefano, Jean-Baptiste Weibel, Doris Antensteiner, Markus Vincze, Jing He, Yiqing Wang, Kexin Zhang, Licheng Jiao, Lingling Li, Fang Liu, Wenping Ma, Benjamin Busam
2024 J jnl
Booster: A Benchmark for Depth From Images of Specular and Transparent Surfaces.
IEEE Trans. Pattern Anal. Mach. Intell.
Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
2024 — conf
Connecting NeRFs, Images, and Text.
CVPR Workshops
Francesco Ballerini, Pierluigi Zama Ramirez, Roberto Mirabella, Samuele Salti, Luigi Di Stefano
2024 J jnl
Connecting NeRFs, Images, and Text.
CoRR
Francesco Ballerini, Pierluigi Zama Ramirez, Roberto Mirabella, Samuele Salti, Luigi Di Stefano
2024 J jnl
Deep Learning on Object-Centric 3D Neural Fields.
IEEE Trans. Pattern Anal. Mach. Intell.
Pierluigi Zama Ramirez, Luca De Luigi, Daniele Sirocchi, Adriano Cardace, Riccardo Spezialetti, Francesco Ballerini, Samuele Salti, Luigi Di Stefano
2024 — conf
Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions.
ECCV (23)
Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi
2024 J jnl
Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions.
CoRR
Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi
2024 A* conf
LLaNA: Large Language and NeRF Assistant.
NeurIPS
Andrea Amaduzzi, Pierluigi Zama Ramirez, Giuseppe Lisanti, Samuele Salti, Luigi Di Stefano
2024 J jnl
LLaNA: Large Language and NeRF Assistant.
CoRR
Andrea Amaduzzi, Pierluigi Zama Ramirez, Giuseppe Lisanti, Samuele Salti, Luigi Di Stefano
2024 J jnl
Looking for Tiny Defects via Forward-Backward Feature Transfer.
CoRR
Alex Costanzino, Pierluigi Zama Ramirez, Giuseppe Lisanti, Luigi Di Stefano
2024 A* conf
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping.
CVPR
Alex Costanzino, Pierluigi Zama Ramirez, Giuseppe Lisanti, Luigi Di Stefano
2024 — conf
NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces.
CVPR Workshops
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
2024 J jnl
Neural Disparity Refinement.
IEEE Trans. Pattern Anal. Mach. Intell.
Fabio Tosi, Filippo Aleotti, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
2024 A* conf
Neural Processing of Tri-Plane Hybrid Neural Fields.
ICLR
Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini, Allan Zhou, Samuele Salti, Luigi Di Stefano
2024 — conf
TRICKY 2024 Challenge on Monocular Depth from Images of Specular and Transparent Surfaces.
ECCV Workshops (1)
Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Luigi Di Stefano, Jean-Baptiste Weibel, Dominik Bauer, Doris Antensteiner, Markus Vincze, Jiaqi Li, Yachuan Huang, Junrui Zhang, Yiran Wang, Jinghong Zheng, Liao Shen, Zhiguo Cao, Ziyang Song, Zerong Wang, Ruijie Zhu, Hao Zhang, Rui Li, Jiang Wu, Xian Li, Yu Zhu, Jinqiu Sun, Yanning Zhang, Pihai Sun, Yuanqi Yao, Wenbo Zhao, Kui Jiang, Junjun Jiang, Mykola Lavreniuk, Pengzhi Li, Jui-Lin Wang
2024 — conf
Test Time Training for Industrial Anomaly Segmentation.
CVPR Workshops
Alex Costanzino, Pierluigi Zama Ramirez, Mirko Del Moro, Agostino Aiezzo, Giuseppe Lisanti, Samuele Salti, Luigi Di Stefano
2024 J jnl
Test Time Training for Industrial Anomaly Segmentation.
CoRR
Alex Costanzino, Pierluigi Zama Ramirez, Mirko Del Moro, Agostino Aiezzo, Giuseppe Lisanti, Samuele Salti, Luigi Di Stefano
2023 J jnl
Booster: a Benchmark for Depth from Images of Specular and Transparent Surfaces.
CoRR
Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
2023 J jnl
Boosting Multi-Modal Unsupervised Domain Adaptation for LiDAR Semantic Segmentation by Self-Supervised Depth Completion.
IEEE Access
Adriano Cardace, Andrea Conti, Pierluigi Zama Ramirez, Riccardo Spezialetti, Samuele Salti, Luigi Di Stefano
2023 J jnl
Deep Learning on 3D Neural Fields.
CoRR
Pierluigi Zama Ramirez, Luca De Luigi, Daniele Sirocchi, Adriano Cardace, Riccardo Spezialetti, Francesco Ballerini, Samuele Salti, Luigi Di Stefano
2023 A* conf
Deep Learning on Implicit Neural Representations of Shapes.
ICLR
Luca De Luigi, Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
2023 J jnl
Deep Learning on Implicit Neural Representations of Shapes.
CoRR
Luca De Luigi, Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
2023 — conf
Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation.
CVPR Workshops
Adriano Cardace, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
2023 J jnl
Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation.
CoRR
Adriano Cardace, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
2023 A* conf
Learning Depth Estimation for Transparent and Mirror Surfaces.
ICCV
Alex Costanzino, Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano
2023 J jnl
Learning Depth Estimation for Transparent and Mirror Surfaces.
CoRR
Alex Costanzino, Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano
2023 J jnl
Learning Good Features to Transfer Across Tasks and Domains.
CoRR
Pierluigi Zama Ramirez, Adriano Cardace, Luca De Luigi, Alessio Tonioni, Samuele Salti, Luigi Di Stefano
2023 J jnl
Learning Good Features to Transfer Across Tasks and Domains.
IEEE Trans. Pattern Anal. Mach. Intell.
Pierluigi Zama Ramirez, Adriano Cardace, Luca De Luigi, Alessio Tonioni, Samuele Salti, Luigi Di Stefano
2023 J jnl
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping.
CoRR
Alex Costanzino, Pierluigi Zama Ramirez, Giuseppe Lisanti, Luigi Di Stefano
2023 — conf
NTIRE 2023 Challenge on HR Depth from Images of Specular and Transparent Surfaces.
CVPR Workshops
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
2023 J jnl
Neural Processing of Tri-Plane Hybrid Neural Fields.
CoRR
Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini, Allan Zhou, Samuele Salti, Luigi Di Stefano
2023 A conf
Self-Distillation for Unsupervised 3D Domain Adaptation.
WACV
Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
2022 — conf
Cross-Spectral Neural Radiance Fields.
3DV
Matteo Poggi, Pierluigi Zama Ramirez, Fabio Tosi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
2022 J jnl
Cross-Spectral Neural Radiance Fields.
CoRR
Matteo Poggi, Pierluigi Zama Ramirez, Fabio Tosi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
2022 A* conf
Open Challenges in Deep Stereo: the Booster Dataset.
CVPR
Pierluigi Zama Ramirez, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
2022 J jnl
Open Challenges in Deep Stereo: the Booster Dataset.
CoRR
Pierluigi Zama Ramirez, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
2022 A conf
Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation.
WACV
Adriano Cardace, Luca De Luigi, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
2022 A* conf
RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation.
CVPR
Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
2022 J jnl
RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation.
CoRR
Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
2022 J jnl
Self-Distillation for Unsupervised 3D Domain Adaptation.
CoRR
Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
2022 A conf
Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries.
WACV
Adriano Cardace, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
2021 J jnl
Beyond the Baseline: 3D Reconstruction of Tiny Objects With Single Camera Stereo Robot.
IEEE Access
Daniele De Gregorio, Matteo Poggi, Pierluigi Zama Ramirez, Gianluca Palli, Stefano Mattoccia, Luigi Di Stefano
2021 — —
Deep Scene Understanding with Limited Training Data.
Pierluigi Zama Ramirez
2021 — conf
Neural Disparity Refinement for Arbitrary Resolution Stereo.
3DV
Filippo Aleotti, Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
2021 J jnl
Neural Disparity Refinement for Arbitrary Resolution Stereo.
CoRR
Filippo Aleotti, Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
2021 J jnl
Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation.
CoRR
Adriano Cardace, Luca De Luigi, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
2021 — conf
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation.
3DV
Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
2021 J jnl
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation.
CoRR
Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
2021 J jnl
Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries.
CoRR
Adriano Cardace, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
2021 J jnl
Unsupervised Novel View Synthesis from a Single Image.
CoRR
Pierluigi Zama Ramirez, Alessio Tonioni, Federico Tombari
2020 A* conf
Distilled Semantics for Comprehensive Scene Understanding from Videos.
CVPR
Fabio Tosi, Filippo Aleotti, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Luigi Di Stefano, Stefano Mattoccia
2020 J jnl
Distilled Semantics for Comprehensive Scene Understanding from Videos.
CoRR
Fabio Tosi, Filippo Aleotti, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Luigi Di Stefano, Stefano Mattoccia
2020 — conf
Shooting Labels: 3D Semantic Labeling by Virtual Reality.
AIVR
Pierluigi Zama Ramirez, Claudio Paternesi, Luca De Luigi, Luigi Lella, Daniele De Gregorio, Luigi Di Stefano
2019 A* conf
Learning Across Tasks and Domains.
ICCV
Pierluigi Zama Ramirez, Alessio Tonioni, Samuele Salti, Luigi Di Stefano
2019 J jnl
Learning Across Tasks and Domains.
CoRR
Pierluigi Zama Ramirez, Alessio Tonioni, Samuele Salti, Luigi Di Stefano
2019 J jnl
Shooting Labels: 3D Semantic Labeling by Virtual Reality.
CoRR
Pierluigi Zama Ramirez, Claudio Paternesi, Daniele De Gregorio, Luigi Di Stefano
2018 J jnl
Exploiting Semantics in Adversarial Training for Image-Level Domain Adaptation.
CoRR
Pierluigi Zama Ramirez, Alessio Tonioni, Luigi Di Stefano
2018 C conf
Exploiting semantics in adversarial training for image-level domain adaptation.
IPAS
Pierluigi Zama Ramirez, Alessio Tonioni, Luigi Di Stefano
2018 — conf
Geometry Meets Semantics for Semi-supervised Monocular Depth Estimation.
ACCV (3)
Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano
2018 J jnl
Geometry meets semantics for semi-supervised monocular depth estimation.
CoRR
Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano