Learning confidence measures in the wild. - Fabio Tosi; Matteo Poggi; Stefano Mattoccia; Alessio Tonioni; Luigi Di Stefano (BMVC, 2017)

Even More Confident Predictions with Deep Machine-Learning. - Matteo Poggi; Fabio Tosi; Stefano Mattoccia (CVPR Workshops, 2017)

Quantitative Evaluation of Confidence Measures in a Machine Learning World. - Matteo Poggi; Fabio Tosi; Stefano Mattoccia (ICCV, 2017)

Efficient Confidence Measures for Embedded Stereo. - Matteo Poggi; Fabio Tosi; Stefano Mattoccia (ICIAP (1), 2017)

Learning Monocular Depth Estimation with Unsupervised Trinocular Assumptions. - Matteo Poggi; Fabio Tosi; Stefano Mattoccia (3DV, 2018)

Geometry Meets Semantics for Semi-supervised Monocular Depth Estimation. - Pierluigi Zama Ramirez; Matteo Poggi; Fabio Tosi; Stefano Mattoccia; Luigi Di Stefano (ACCV (3), 2018)

Generative Adversarial Networks for Unsupervised Monocular Depth Prediction. - Filippo Aleotti; Fabio Tosi; Matteo Poggi; Stefano Mattoccia (ECCV Workshops (1), 2018)

Beyond Local Reasoning for Stereo Confidence Estimation with Deep Learning. - Fabio Tosi; Matteo Poggi; Antonio Benincasa; Stefano Mattoccia (ECCV (6), 2018)

Towards Real-Time Unsupervised Monocular Depth Estimation on CPU. - Matteo Poggi; Filippo Aleotti; Fabio Tosi; Stefano Mattoccia (IROS, 2018)

Optical Tracking Velocimetry (OTV): Leveraging Optical Flow and Trajectory-Based Filtering for Surface Streamflow Observations. - Flavia Tauro; Fabio Tosi; Stefano Mattoccia; Elena Toth; Rodolfo Piscopia; Salvatore Grimaldi (Remote. Sens., 2018)

Guided Stereo Matching. - Matteo Poggi; Davide Pallotti; Fabio Tosi; Stefano Mattoccia (CVPR, 2019)

Real-Time Self-Adaptive Deep Stereo. - Alessio Tonioni; Fabio Tosi; Matteo Poggi; Stefano Mattoccia; Luigi Di Stefano (CVPR, 2019)

Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge. - Fabio Tosi; Filippo Aleotti; Matteo Poggi; Stefano Mattoccia (CVPR, 2019)

Leveraging Confident Points for Accurate Depth Refinement on Embedded Systems. - Fabio Tosi; Matteo Poggi; Stefano Mattoccia (CVPR Workshops, 2019)

Enabling Energy-Efficient Unsupervised Monocular Depth Estimation on ARMv7-Based Platforms. - Valentino Peluso; Antonio Cipolletta; Andrea Calimera; Matteo Poggi; Fabio Tosi; Stefano Mattoccia (DATE, 2019)

Learning End-to-End Scene Flow by Distilling Single Tasks Knowledge. - Filippo Aleotti; Matteo Poggi; Fabio Tosi; Stefano Mattoccia (AAAI, 2020)

Enabling monocular depth perception at the very edge. - Valentino Peluso; Antonio Cipolletta; Andrea Calimera; Matteo Poggi; Fabio Tosi; Filippo Aleotti; Stefano Mattoccia (CVPR Workshops, 2020)

On the Uncertainty of Self-Supervised Monocular Depth Estimation. - Matteo Poggi; Filippo Aleotti; Fabio Tosi; Stefano Mattoccia (CVPR, 2020)

Distilled Semantics for Comprehensive Scene Understanding from Videos. - Fabio Tosi; Filippo Aleotti; Pierluigi Zama Ramirez; Matteo Poggi; Samuele Salti; Luigi Di Stefano; Stefano Mattoccia (CVPR, 2020)

Reversing the Cycle: Self-supervised Deep Stereo Through Enhanced Monocular Distillation. - Filippo Aleotti; Fabio Tosi; Li Zhang; Matteo Poggi; Stefano Mattoccia (ECCV (11), 2020)

Self-adapting Confidence Estimation for Stereo. - Matteo Poggi; Filippo Aleotti; Fabio Tosi; Giulio Zaccaroni; Stefano Mattoccia (ECCV (24), 2020)

Leveraging a weakly adversarial paradigm for joint learning of disparity and confidence estimation. - Matteo Poggi; Fabio Tosi; Filippo Aleotti; Stefano Mattoccia (ICPR, 2020)

On the Synergies between Machine Learning and Stereo: a Survey. - Matteo Poggi; Fabio Tosi; Konstantinos Batsos; Philippos Mordohai; Stefano Mattoccia (CoRR, 2020)

Learning a confidence measure in the disparity domain from O(1) features. - Matteo Poggi; Fabio Tosi; Stefano Mattoccia (Comput. Vis. Image Underst., 2020)

Enabling Image-Based Streamflow Monitoring at the Edge. - Fabio Tosi; Matteo Rocca; Filippo Aleotti; Matteo Poggi; Stefano Mattoccia; Flavia Tauro; Elena Toth; Salvatore Grimaldi (Remote. Sens., 2020)

Neural Disparity Refinement for Arbitrary Resolution Stereo. - Filippo Aleotti; Fabio Tosi; Pierluigi Zama Ramirez; Matteo Poggi; Samuele Salti; Stefano Mattoccia; Luigi Di Stefano (3DV, 2021)

SMD-Nets: Stereo Mixture Density Networks. - Fabio Tosi; Yiyi Liao; Carolin Schmitt; Andreas Geiger 001 (CVPR, 2021)

Real-Time Single Image Depth Perception in the Wild with Handheld Devices. - Filippo Aleotti; Giulio Zaccaroni; Luca Bartolomei 001; Matteo Poggi; Fabio Tosi; Stefano Mattoccia (Sensors, 2021)

Deep-learning for 3D reconstruction. - Fabio Tosi (2021)

Cross-Spectral Neural Radiance Fields. - Matteo Poggi; Pierluigi Zama Ramirez; Fabio Tosi; Samuele Salti; Stefano Mattoccia; Luigi Di Stefano (3DV, 2022)

MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer. - Chaoqiang Zhao; Youmin Zhang 008; Matteo Poggi; Fabio Tosi; Xianda Guo; Zheng Zhu; Guan Huang 003; Yang Tang; Stefano Mattoccia (3DV, 2022)

Open Challenges in Deep Stereo: the Booster Dataset. - Pierluigi Zama Ramirez; Fabio Tosi; Matteo Poggi; Samuele Salti; Stefano Mattoccia; Luigi Di Stefano (CVPR, 2022)

RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation. - Fabio Tosi; Pierluigi Zama Ramirez; Matteo Poggi; Samuele Salti; Stefano Mattoccia; Luigi Di Stefano (CVPR, 2022)

Energy-Quality Scalable Monocular Depth Estimation on Low-Power CPUs. - Antonio Cipolletta; Valentino Peluso; Andrea Calimera; Matteo Poggi; Fabio Tosi; Filippo Aleotti; Stefano Mattoccia (IEEE Internet Things J., 2022)

On the Confidence of Stereo Matching in a Deep-Learning Era: A Quantitative Evaluation. - Matteo Poggi; Seungryong Kim; Fabio Tosi; Sunok Kim; Filippo Aleotti; Dongbo Min; Kwanghoon Sohn; Stefano Mattoccia (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

On the Synergies Between Machine Learning and Binocular Stereo for Depth Estimation From Images: A Survey. - Matteo Poggi; Fabio Tosi; Konstantinos Batsos; Philippos Mordohai; Stefano Mattoccia (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Continual Adaptation for Deep Stereo. - Matteo Poggi; Alessio Tonioni; Fabio Tosi; Stefano Mattoccia; Luigi Di Stefano (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Monocular Depth Perception on Microcontrollers for Edge Applications. - Valentino Peluso; Antonio Cipolletta; Andrea Calimera; Matteo Poggi; Fabio Tosi; Filippo Aleotti; Stefano Mattoccia (IEEE Trans. Circuits Syst. Video Technol., 2022)

Real-Time Self-Supervised Monocular Depth Estimation Without GPU. - Matteo Poggi; Fabio Tosi; Filippo Aleotti; Stefano Mattoccia (IEEE Trans. Intell. Transp. Syst., 2022)

Lightweight Self-Supervised Depth Estimation with few-beams LiDAR Data. - Rizhao Fan; Fabio Tosi; Matteo Poggi; Stefano Mattoccia (BMVC, 2023)

On-Site Adaptation for Monocular Depth Estimation with a Static Camera. - Huan Li; Matteo Poggi; Fabio Tosi; Stefano Mattoccia (BMVC, 2023)

NTIRE 2023 Challenge on HR Depth from Images of Specular and Transparent Surfaces. - Pierluigi Zama Ramirez; Fabio Tosi; Luigi Di Stefano; Radu Timofte; Alex Costanzino; Matteo Poggi; Samuele Salti; Stefano Mattoccia; Jun Shi 004; Dafeng Zhang; Yong A; Yixiang Jin; et al. (CVPR Workshops, 2023)

The Second Monocular Depth Estimation Challenge. - Jaime Spencer; C. Stella Qian; Michaela Trescakova; Chris Russell 001; Simon Hadfield; Erich W. Graf; Wendy J. Adams; Andrew J. Schofield; James H. Elder; Richard Bowden; Ali Anwar 002; Hao Chen 041; et al. (CVPR Workshops, 2023)

NeRF-Supervised Deep Stereo. - Fabio Tosi; Alessio Tonioni; Daniele De Gregorio; Matteo Poggi (CVPR, 2023)

Active Stereo Without Pattern Projector. - Luca Bartolomei 001; Matteo Poggi; Fabio Tosi; Andrea Conti 002; Stefano Mattoccia (ICCV, 2023)

GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction. - Youmin Zhang 008; Fabio Tosi; Stefano Mattoccia; Matteo Poggi (ICCV, 2023)

Learning Depth Estimation for Transparent and Mirror Surfaces. - Alex Costanzino; Pierluigi Zama Ramirez; Matteo Poggi; Fabio Tosi; Stefano Mattoccia; Luigi Di Stefano (ICCV, 2023)

GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes. - Chaoqiang Zhao; Matteo Poggi; Fabio Tosi; Lei Zhou; Qiyu Sun; Yang Tang; Stefano Mattoccia (ICCV, 2023)

The Monocular Depth Estimation Challenge. - Jaime Spencer; C. Stella Qian; Chris Russell 001; Simon Hadfield; Erich W. Graf; Wendy J. Adams; Andrew J. Schofield; James H. Elder; Richard Bowden; Heng Cong; Stefano Mattoccia; Matteo Poggi; et al. (WACV (Workshops), 2023)

Self-supervised depth super-resolution with contrastive multiview pre-training. - Xin Qiao; Chenyang Ge; Chaoqiang Zhao; Fabio Tosi; Matteo Poggi; Stefano Mattoccia (Neural Networks, 2023)

Depth super-resolution from explicit and implicit high-frequency features. - Xin Qiao; Chenyang Ge; Youmin Zhang 008; Yanhui Zhou; Fabio Tosi; Matteo Poggi; Stefano Mattoccia (Comput. Vis. Image Underst., 2023)

Revisiting Depth Completion from a Stereo Matching Perspective for Cross-domain Generalization. - Luca Bartolomei 001; Matteo Poggi; Andrea Conti 002; Fabio Tosi; Stefano Mattoccia (3DV, 2024)

Self-Evolving Depth-Supervised 3D Gaussian Splatting from Rendered Stereo Pairs. - Sadra Safadoust; Fabio Tosi; Fatma Güney; Matteo Poggi (BMVC, 2024)

Federated Online Adaptation for Deep Stereo. - Matteo Poggi; Fabio Tosi (CVPR, 2024)

NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces. - 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; et al. (CVPR Workshops, 2024)

The Third Monocular Depth Estimation Challenge. - Jaime Spencer; Fabio Tosi; Matteo Poggi; Ripudaman Singh Arora; Chris Russell 001; Simon Hadfield; Richard Bowden; GuangYuan Zhou; ZhengXin Li; Qiang Rao; YiPing Bao; Xiao Liu 004; et al. (CVPR Workshops, 2024)

TRICKY 2024 Challenge on Monocular Depth from Images of Specular and Transparent Surfaces. - Pierluigi Zama Ramirez; Alex Costanzino; Fabio Tosi; Matteo Poggi; Luigi Di Stefano; Jean-Baptiste Weibel; Dominik Bauer; Doris Antensteiner; Markus Vincze; Jiaqi Li 007; Yachuan Huang; Junrui Zhang 003; et al. (ECCV Workshops (1), 2024)

Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions. - Fabio Tosi; Pierluigi Zama Ramirez; Matteo Poggi (ECCV (23), 2024)

How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey. - Fabio Tosi; Youmin Zhang 008; Ziren Gong; Erik Sandström; Stefano Mattoccia; Martin R. Oswald; Matteo Poggi (CoRR, 2024)

The Third Monocular Depth Estimation Challenge. - Jaime Spencer; Fabio Tosi; Matteo Poggi; Ripudaman Singh Arora; Chris Russell 001; Simon Hadfield; Richard Bowden; GuangYuan Zhou; ZhengXin Li; Qiang Rao; YiPing Bao; Xiao Liu 004; et al. (CoRR, 2024)

Stereo-Depth Fusion through Virtual Pattern Projection. - Luca Bartolomei 001; Matteo Poggi; Fabio Tosi; Andrea Conti 002; Stefano Mattoccia (CoRR, 2024)

Booster: A Benchmark for Depth From Images of Specular and Transparent Surfaces. - Pierluigi Zama Ramirez; Alex Costanzino; Fabio Tosi; Matteo Poggi; Samuele Salti; Stefano Mattoccia; Luigi Di Stefano (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Robust depth perception through Virtual Pattern Projection (CVPR 2024 DEMO). - Luca Bartolomei 001; Matteo Poggi; Fabio Tosi; Andrea Conti 002; Stefano Mattoccia (Zenodo, 2024)

Neural Disparity Refinement. - Fabio Tosi; Filippo Aleotti; Pierluigi Zama Ramirez; Matteo Poggi; Samuele Salti; Stefano Mattoccia; Luigi Di Stefano (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail. - Luca Bartolomei 001; Fabio Tosi; Matteo Poggi; Stefano Mattoccia (CVPR, 2025)

The Fourth Monocular Depth Estimation Challenge. - Anton Obukhov; Matteo Poggi; Fabio Tosi; Ripudaman Singh Arora; Jaime Spencer; Chris Russell 001; Simon Hadfield; Richard Bowden; Shuaihang Wang; Zhenxin Ma; Weijie Chen 006; Baobei Xu; et al. (CVPR Workshops, 2025)

NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces. - Pierluigi Zama Ramirez; Fabio Tosi; Luigi Di Stefano; Radu Timofte; Alex Costanzino; Matteo Poggi; Samuele Salti; Stefano Mattoccia; Zhe Zhang; Yang Yang 009; Wu Chen; Anlong Ming; et al. (CVPR Workshops, 2025)

CabNIR: A Benchmark for In-Vehicle Infrared Monocular Depth Estimation. - Ugo Leone Cavalcanti; Matteo Poggi; Fabio Tosi; Valerio Cambareri; Vladimir Zlokolica; Stefano Mattoccia (WACV, 2025)

HS-SLAM: Hybrid Representation with Structural Supervision for Improved Dense SLAM. - Ziren Gong; Fabio Tosi; Youmin Zhang 008; Stefano Mattoccia; Matteo Poggi (CoRR, 2025)

WarpRF: Multi-View Consistency for Training-Free Uncertainty Quantification and Applications in Radiance Fields. - Sadra Safadoust; Fabio Tosi; Fatma Güney; Matteo Poggi (CoRR, 2025)

DINO-SLAM: DINO-informed RGB-D SLAM for Neural Implicit and Explicit Representations. - Ziren Gong; Xiaohan Li; Fabio Tosi; Youmin Zhang 008; Stefano Mattoccia; Jun Wu; Matteo Poggi (CoRR, 2025)

Ov3R: Open-Vocabulary Semantic 3D Reconstruction from RGB Videos. - Ziren Gong; Xiaohan Li; Fabio Tosi; Jiawei Han; Stefano Mattoccia; Jianfei Cai 001; Matteo Poggi (CoRR, 2025)

Stereo 3D Gaussian Splatting SLAM for Outdoor Urban Scenes. - Xiaohan Li; Ziren Gong; Fabio Tosi; Matteo Poggi; Stefano Mattoccia; Dong Liu; Jun Wu (CoRR, 2025)

A Survey on Deep Stereo Matching in the Twenties. - Fabio Tosi; Luca Bartolomei 001; Matteo Poggi (Int. J. Comput. Vis., 2025)