Filippo Aleotti

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 37

Top Topics

Trinocular Stereo

Quantitative Evaluation

Stereo Matching

Top Venues

Publications

Mohamed Sayed, Filippo Aleotti, Jamie Watson, Zawar Qureshi, Guillermo Garcia-Hernando, Gabriel J. Brostow, Sara Vicente, Michael Firman
DoubleTake: Geometry Guided Depth Estimation. CoRR (2024)
Jamie Watson, Filippo Aleotti, Mohamed Sayed, Zawar Qureshi, Oisin Mac Aodha, Gabriel J. Brostow, Michael Firman, Sara Vicente
AirPlanes: Accurate Plane Estimation via 3D-Consistent Embeddings. CoRR (2024)
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)
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)
Alessio Mingozzi, Andrea Conti, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia
Monitoring Social Distancing With Single Image Depth Estimation. IEEE Trans. Emerg. Top. Comput. Intell. 6 (6) (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)
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)
Andrea Conti, Matteo Poggi, Filippo Aleotti, Stefano Mattoccia
Unsupervised confidence for LiDAR depth maps and applications. CoRR (2022)
Alessio Mingozzi, Andrea Conti, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia
Monitoring social distancing with single image depth estimation. CoRR (2022)
Andrea Conti, Matteo Poggi, Filippo Aleotti, Stefano Mattoccia
Unsupervised confidence for LiDAR depth maps and applications. IROS (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)
Filippo Aleotti, Matteo Poggi, Stefano Mattoccia
Learning Optical Flow From Still Images. CVPR (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, Matteo Poggi, Stefano Mattoccia
Learning optical flow from still images. 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)
Matteo Poggi, Filippo Aleotti, Stefano Mattoccia
Sensor-Guided Optical Flow. ICCV (2021)
Matteo Poggi, Filippo Aleotti, Stefano Mattoccia
Sensor-Guided Optical Flow. 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)
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)
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)
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)
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, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia
Towards real-time unsupervised monocular depth estimation on CPU. CoRR (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)