Fabio Tosi

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 88

Top Topics

Stereo Matching

Depth Estimation

Confidence Measure

Top Venues

Publications

Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi
Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions. CoRR (2024)
Luca Bartolomei, Matteo Poggi, Andrea Conti, Fabio Tosi, Stefano Mattoccia
Revisiting Depth Completion from a Stereo Matching Perspective for Cross-domain Generalization. 3DV (2024)
Fabio Tosi, Luca Bartolomei, Matteo Poggi
A Survey on Deep Stereo Matching in the Twenties. CoRR (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)
Fabio Tosi, Youmin Zhang, Ziren Gong, Erik Sandström, Stefano Mattoccia, Martin R. Oswald, Matteo Poggi
How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey. CoRR (2024)
Jaime Spencer, Fabio Tosi, Matteo Poggi, Ripudaman Singh Arora, Chris Russell, Simon Hadfield, Richard Bowden, GuangYuan Zhou, ZhengXin Li, Qiang Rao, YiPing Bao, Xiao Liu, Dohyeong Kim, Jinseong Kim, Myunghyun Kim, Mykola Lavreniuk, Rui Li, Qing Mao, Jiang Wu, Yu Zhu, Jinqiu Sun, Yanning Zhang, Suraj Patni, Aradhye Agarwal, Chetan Arora, Pihai Sun, Kui Jiang, Gang Wu, Jian Liu, Xianming Liu, Junjun Jiang, Xidan Zhang, Jianing Wei, Fangjun Wang, Zhiming Tan, Jiabao Wang, Albert Luginov, Muhammad Shahzad, Seyed Hosseini, Aleksander Trajcevski, James H. Elder
The Third Monocular Depth Estimation Challenge. CoRR (2024)
Luca Bartolomei, Matteo Poggi, Fabio Tosi, Andrea Conti, Stefano Mattoccia
Stereo-Depth Fusion through Virtual Pattern Projection. CoRR (2024)
Matteo Poggi, Fabio Tosi
Federated Online Adaptation for Deep Stereo. CoRR (2024)
Luca Bartolomei, Matteo Poggi, Fabio Tosi, Andrea Conti, Stefano Mattoccia
Active Stereo Without Pattern Projector. ICCV (2023)
Rizhao Fan, Fabio Tosi, Matteo Poggi, Stefano Mattoccia
Lightweight Self-Supervised Depth Estimation with few-beams LiDAR Data. BMVC (2023)
Chaoqiang Zhao, Matteo Poggi, Fabio Tosi, Lei Zhou, Qiyu Sun, Yang Tang, Stefano Mattoccia
GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes. ICCV (2023)
Youmin Zhang, Fabio Tosi, Stefano Mattoccia, Matteo Poggi
GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction. CoRR (2023)
Chaoqiang Zhao, Matteo Poggi, Fabio Tosi, Lei Zhou, Qiyu Sun, Yang Tang, Stefano Mattoccia
GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes. 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)
Xin Qiao, Chenyang Ge, Youmin Zhang, Yanhui Zhou, Fabio Tosi, Matteo Poggi, Stefano Mattoccia
Depth super-resolution from explicit and implicit high-frequency features. Comput. Vis. Image Underst. 237 (2023)
Jaime Spencer, C. Stella Qian, Michaela Trescakova, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Ali Anwar, Hao Chen, Xiaozhi Chen, Kai Cheng, Yuchao Dai, Huynh Thai Hoa, Sadat Hossain, Jianmian Huang, Mohan Jing, Bo Li, Chao Li, Baojun Li, Zhiwen Liu, Stefano Mattoccia, Siegfried Mercelis, Myungwoo Nam, Matteo Poggi, Xiaohua Qi, Jiahui Ren, Yang Tang, Fabio Tosi, Linh Trinh, S. M. Nadim Uddin, Khan Muhammad Umair, Kaixuan Wang, Yufei Wang, Yixing Wang, Mochu Xiang, Guangkai Xu, Wei Yin, Jun Yu, Qi Zhang, Chaoqiang Zhao
The Second Monocular Depth Estimation Challenge. CVPR Workshops (2023)
Luca Bartolomei, Matteo Poggi, Fabio Tosi, Andrea Conti, Stefano Mattoccia
Active Stereo Without Pattern Projector. CoRR (2023)
Luca Bartolomei, Matteo Poggi, Andrea Conti, Fabio Tosi, Stefano Mattoccia
Revisiting Depth Completion from a Stereo Matching Perspective for Cross-domain Generalization. CoRR (2023)
Jaime Spencer, C. Stella Qian, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Heng Cong, Stefano Mattoccia, Matteo Poggi, Zeeshan Khan Suri, Yang Tang, Fabio Tosi, Hao Wang, Youmin Zhang, Yusheng Zhang, Chaoqiang Zhao
The Monocular Depth Estimation Challenge. WACV (Workshops) (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)
Fabio Tosi, Alessio Tonioni, Daniele De Gregorio, Matteo Poggi
NeRF-Supervised Deep Stereo. 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)
Xin Qiao, Chenyang Ge, Youmin Zhang, Yanhui Zhou, Fabio Tosi, Matteo Poggi, Stefano Mattoccia
Depth Super-Resolution from Explicit and Implicit High-Frequency Features. CoRR (2023)
Huan Li, Matteo Poggi, Fabio Tosi, Stefano Mattoccia
On-Site Adaptation for Monocular Depth Estimation with a Static Camera. BMVC (2023)
Youmin Zhang, Fabio Tosi, Stefano Mattoccia, Matteo Poggi
GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction. ICCV (2023)
Jaime Spencer, C. Stella Qian, Michaela Trescakova, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Ali Anwar, Hao Chen, Xiaozhi Chen, Kai Cheng, Yuchao Dai, Huynh Thai Hoa, Sadat Hossain, Jianmian Huang, Mohan Jing, Bo Li, Chao Li, Baojun Li, Zhiwen Liu, Stefano Mattoccia, Siegfried Mercelis, Myungwoo Nam, Matteo Poggi, Xiaohua Qi, Jiahui Ren, Yang Tang, Fabio Tosi, Linh Trinh, S. M. Nadim Uddin, Khan Muhammad Umair, Kaixuan Wang, Yufei Wang, Yixing Wang, Mochu Xiang, Guangkai Xu, Wei Yin, Jun Yu, Qi Zhang, Chaoqiang Zhao
The Second Monocular Depth Estimation Challenge. CoRR (2023)
Xin Qiao, Chenyang Ge, Chaoqiang Zhao, Fabio Tosi, Matteo Poggi, Stefano Mattoccia
Self-supervised depth super-resolution with contrastive multiview pre-training. Neural Networks 168 (2023)
Fabio Tosi, Alessio Tonioni, Daniele De Gregorio, Matteo Poggi
NeRF-Supervised Deep Stereo. CVPR (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)
Matteo Poggi, Seungryong Kim, Fabio Tosi, Sunok Kim, Filippo Aleotti, Dongbo Min, Kwanghoon Sohn, Stefano Mattoccia
On the Confidence of Stereo Matching in a Deep-Learning Era: A Quantitative Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Chaoqiang Zhao, Youmin Zhang, Matteo Poggi, Fabio Tosi, Xianda Guo, Zheng Zhu, Guan Huang, Yang Tang, Stefano Mattoccia
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer. 3DV (2022)
Matteo Poggi, Fabio Tosi, Filippo Aleotti, Stefano Mattoccia
Real-Time Self-Supervised Monocular Depth Estimation Without GPU. IEEE Trans. Intell. Transp. Syst. 23 (10) (2022)
Chaoqiang Zhao, Youmin Zhang, Matteo Poggi, Fabio Tosi, Xianda Guo, Zheng Zhu, Guan Huang, Yang Tang, Stefano Mattoccia
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer. CoRR (2022)
Matteo Poggi, Alessio Tonioni, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano
Continual Adaptation for Deep Stereo. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation. CVPR (2022)
Jaime Spencer, C. Stella Qian, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Heng Cong, Stefano Mattoccia, Matteo Poggi, Zeeshan Khan Suri, Yang Tang, Fabio Tosi, Hao Wang, Youmin Zhang, Yusheng Zhang, Chaoqiang Zhao
The Monocular Depth Estimation Challenge. CoRR (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, Fabio Tosi, Konstantinos Batsos, Philippos Mordohai, Stefano Mattoccia
On the Synergies Between Machine Learning and Binocular Stereo for Depth Estimation From Images: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Antonio Cipolletta, Valentino Peluso, Andrea Calimera, Matteo Poggi, Fabio Tosi, Filippo Aleotti, Stefano Mattoccia
Energy-Quality Scalable Monocular Depth Estimation on Low-Power CPUs. IEEE Internet Things J. 9 (1) (2022)
Matteo Poggi, Pierluigi Zama Ramirez, Fabio Tosi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
Cross-Spectral Neural Radiance Fields. 3DV (2022)
Valentino Peluso, Antonio Cipolletta, Andrea Calimera, Matteo Poggi, Fabio Tosi, Filippo Aleotti, Stefano Mattoccia
Monocular Depth Perception on Microcontrollers for Edge Applications. IEEE Trans. Circuits Syst. Video Technol. 32 (3) (2022)
Matteo Poggi, Pierluigi Zama Ramirez, Fabio Tosi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
Cross-Spectral Neural Radiance Fields. CoRR (2022)
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)
Matteo Poggi, Seungryong Kim, Fabio Tosi, Sunok Kim, Filippo Aleotti, Dongbo Min, Kwanghoon Sohn, Stefano Mattoccia
On the confidence of stereo matching in a deep-learning era: a quantitative evaluation. CoRR (2021)
Filippo Aleotti, Giulio Zaccaroni, Luca Bartolomei, Matteo Poggi, Fabio Tosi, Stefano Mattoccia
Real-Time Single Image Depth Perception in the Wild with Handheld Devices. Sensors 21 (1) (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)
Fabio Tosi, Yiyi Liao, Carolin Schmitt, Andreas Geiger
SMD-Nets: Stereo Mixture Density Networks. CVPR (2021)
Fabio Tosi, Yiyi Liao, Carolin Schmitt, Andreas Geiger
SMD-Nets: Stereo Mixture Density Networks. CoRR (2021)
Valentino Peluso, Antonio Cipolletta, Andrea Calimera, Matteo Poggi, Fabio Tosi, Filippo Aleotti, Stefano Mattoccia
Enabling monocular depth perception at the very edge. CVPR Workshops (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. CVPR (2020)
Filippo Aleotti, Fabio Tosi, Li Zhang, Matteo Poggi, Stefano Mattoccia
Reversing the Cycle: Self-supervised Deep Stereo Through Enhanced Monocular Distillation. ECCV (11) (2020)
Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia
On the uncertainty of self-supervised monocular depth estimation. CoRR (2020)
Filippo Aleotti, Giulio Zaccaroni, Luca Bartolomei, Matteo Poggi, Fabio Tosi, Stefano Mattoccia
Real-time single image depth perception in the wild with handheld devices. CoRR (2020)
Matteo Poggi, Filippo Aleotti, Fabio Tosi, Giulio Zaccaroni, Stefano Mattoccia
Self-adapting confidence estimation for stereo. CoRR (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)
Matteo Poggi, Fabio Tosi, Filippo Aleotti, Stefano Mattoccia
Leveraging a weakly adversarial paradigm for joint learning of disparity and confidence estimation. ICPR (2020)
Matteo Poggi, Alessio Tonioni, Fabio Tosi, Stefano Mattoccia, Luigi di Stefano
Continual Adaptation for Deep Stereo. CoRR (2020)
Filippo Aleotti, Fabio Tosi, Li Zhang, Matteo Poggi, Stefano Mattoccia
Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation. CoRR (2020)
Matteo Poggi, Filippo Aleotti, Fabio Tosi, Giulio Zaccaroni, Stefano Mattoccia
Self-adapting Confidence Estimation for Stereo. ECCV (24) (2020)
Matteo Poggi, Fabio Tosi, Stefano Mattoccia
Learning a confidence measure in the disparity domain from O(1) features. Comput. Vis. Image Underst. 193 (2020)
Filippo Aleotti, Matteo Poggi, Fabio Tosi, Stefano Mattoccia
Learning End-to-End Scene Flow by Distilling Single Tasks Knowledge. AAAI (2020)
Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia
On the Uncertainty of Self-Supervised Monocular Depth Estimation. CVPR (2020)
Matteo Poggi, Fabio Tosi, Konstantinos Batsos, Philippos Mordohai, Stefano Mattoccia
On the Synergies between Machine Learning and Stereo: a Survey. CoRR (2020)
Fabio Tosi, Matteo Rocca, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia, Flavia Tauro, Elena Toth, Salvatore Grimaldi
Enabling Image-Based Streamflow Monitoring at the Edge. Remote. Sens. 12 (12) (2020)
Fabio Tosi, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia
Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge. CVPR (2019)
Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Luigi di Stefano
Real-Time Self-Adaptive Deep Stereo. CVPR (2019)
Fabio Tosi, Matteo Poggi, Stefano Mattoccia
Leveraging Confident Points for Accurate Depth Refinement on Embedded Systems. CVPR Workshops (2019)
Filippo Aleotti, Matteo Poggi, Fabio Tosi, Stefano Mattoccia
Learning End-To-End Scene Flow by Distilling Single Tasks Knowledge. CoRR (2019)
Fabio Tosi, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia
Learning monocular depth estimation infusing traditional stereo knowledge. CoRR (2019)
Matteo Poggi, Davide Pallotti, Fabio Tosi, Stefano Mattoccia
Guided Stereo Matching. CVPR (2019)
Matteo Poggi, Davide Pallotti, Fabio Tosi, Stefano Mattoccia
Guided Stereo Matching. CoRR (2019)
Valentino Peluso, Antonio Cipolletta, Andrea Calimera, Matteo Poggi, Fabio Tosi, Stefano Mattoccia
Enabling Energy-Efficient Unsupervised Monocular Depth Estimation on ARMv7-Based Platforms. DATE (2019)
Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Luigi di Stefano
Real-time self-adaptive deep stereo. CoRR (2018)
Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi di Stefano
Geometry meets semantics for semi-supervised monocular depth estimation. CoRR (2018)
Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia
Towards real-time unsupervised monocular depth estimation on CPU. 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)
Matteo Poggi, Fabio Tosi, Stefano Mattoccia
Learning Monocular Depth Estimation with Unsupervised Trinocular Assumptions. 3DV (2018)
Matteo Poggi, Fabio Tosi, Stefano Mattoccia
Learning monocular depth estimation with unsupervised trinocular assumptions. CoRR (2018)
Flavia Tauro, Fabio Tosi, Stefano Mattoccia, Elena Toth, Rodolfo Piscopia, Salvatore Grimaldi
Optical Tracking Velocimetry (OTV): Leveraging Optical Flow and Trajectory-Based Filtering for Surface Streamflow Observations. Remote. Sens. 10 (12) (2018)
Filippo Aleotti, Fabio Tosi, Matteo Poggi, Stefano Mattoccia
Generative Adversarial Networks for Unsupervised Monocular Depth Prediction. ECCV Workshops (1) (2018)
Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia
Towards Real-Time Unsupervised Monocular Depth Estimation on CPU. IROS (2018)
Fabio Tosi, Matteo Poggi, Antonio Benincasa, Stefano Mattoccia
Beyond Local Reasoning for Stereo Confidence Estimation with Deep Learning. ECCV (6) (2018)
Matteo Poggi, Fabio Tosi, Stefano Mattoccia
Efficient Confidence Measures for Embedded Stereo. ICIAP (1) (2017)
Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Alessio Tonioni, Luigi di Stefano
Learning confidence measures in the wild. BMVC (2017)
Matteo Poggi, Fabio Tosi, Stefano Mattoccia
Quantitative Evaluation of Confidence Measures in a Machine Learning World. ICCV (2017)
Matteo Poggi, Fabio Tosi, Stefano Mattoccia
Even More Confident Predictions with Deep Machine-Learning. CVPR Workshops (2017)