Filippo Aleotti

According to our database, Filippo Aleotti authored at least 21 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Real-Time Self-Supervised Monocular Depth Estimation Without GPU.

Matteo Poggi, Fabio Tosi, Filippo Aleotti, Stefano Mattoccia

IEEE Trans. Intell. Transp. Syst., 2022

Monitoring Social Distancing With Single Image Depth Estimation.

Alessio Mingozzi, Andrea Conti, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia

IEEE Trans. Emerg. Top. Comput. 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

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

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

Unsupervised confidence for LiDAR depth maps and applications.

Andrea Conti, Matteo Poggi, Filippo Aleotti, Stefano Mattoccia

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Real-Time Single Image Depth Perception in the Wild with Handheld Devices.

Filippo Aleotti, Giulio Zaccaroni, Luca Bartolomei, Matteo Poggi, Fabio Tosi, Stefano Mattoccia

Sensors, 2021

Sensor-Guided Optical Flow.

Matteo Poggi, Filippo Aleotti, Stefano Mattoccia

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning Optical Flow From Still Images.

Filippo Aleotti, Matteo Poggi, Stefano Mattoccia

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Neural Disparity Refinement for Arbitrary Resolution Stereo.

Filippo Aleotti, Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano

Proceedings of the International Conference on 3D Vision, 2021

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

Leveraging a weakly adversarial paradigm for joint learning of disparity and confidence estimation.

Matteo Poggi, Fabio Tosi, Filippo Aleotti, Stefano Mattoccia

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Self-adapting Confidence Estimation for Stereo.

Matteo Poggi, Filippo Aleotti, Fabio Tosi, Giulio Zaccaroni, Stefano Mattoccia

Proceedings of the Computer Vision - ECCV 2020, 2020

Reversing the Cycle: Self-supervised Deep Stereo Through Enhanced Monocular Distillation.

Filippo Aleotti, Fabio Tosi, Li Zhang, Matteo Poggi, Stefano Mattoccia

Proceedings of the Computer Vision - ECCV 2020, 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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

On the Uncertainty of Self-Supervised Monocular Depth Estimation.

Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Enabling monocular depth perception at the very edge.

Valentino Peluso, Antonio Cipolletta, Andrea Calimera, Matteo Poggi, Fabio Tosi, Filippo Aleotti, Stefano Mattoccia

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning End-to-End Scene Flow by Distilling Single Tasks Knowledge.

Filippo Aleotti, Matteo Poggi, Fabio Tosi, Stefano Mattoccia

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge.

Fabio Tosi, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Towards Real-Time Unsupervised Monocular Depth Estimation on CPU.

Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Generative Adversarial Networks for Unsupervised Monocular Depth Prediction.

Filippo Aleotti, Fabio Tosi, Matteo Poggi, Stefano Mattoccia

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018