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ORCIDFilippo Aleotti
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2020 – today
- 2024
[j8]Fabio Tosi
, Filippo Aleotti, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Neural Disparity Refinement. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8900-8917 (2024)- [c16]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. CVPR 2024: 5270-5280 - [c15]Mohamed Sayed, Filippo Aleotti, Jamie Watson, Zawar Qureshi, Guillermo Garcia-Hernando, Gabriel J. Brostow, Sara Vicente, Michael Firman:
DoubleTake: Geometry Guided Depth Estimation. ECCV (73) 2024: 121-138 - [i16]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 abs/2406.08960 (2024) - [i15]Mohamed Sayed, Filippo Aleotti, Jamie Watson, Zawar Qureshi, Guillermo Garcia-Hernando, Gabriel J. Brostow, Sara Vicente, Michael Firman:
DoubleTake: Geometry Guided Depth Estimation. CoRR abs/2406.18387 (2024) - 2022
- [j7]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): 25-36 (2022) - [j6]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): 5293-5313 (2022) - [j5]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): 1524-1536 (2022) - [j4]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): 1290-1301 (2022) - [j3]Matteo Poggi, Fabio Tosi, Filippo Aleotti, Stefano Mattoccia:
Real-Time Self-Supervised Monocular Depth Estimation Without GPU. IEEE Trans. Intell. Transp. Syst. 23(10): 17342-17353 (2022) - [c14]Andrea Conti, Matteo Poggi, Filippo Aleotti, Stefano Mattoccia:
Unsupervised confidence for LiDAR depth maps and applications. IROS 2022: 8352-8359 - [i14]Alessio Mingozzi, Andrea Conti, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia:
Monitoring social distancing with single image depth estimation. CoRR abs/2204.01693 (2022) - [i13]Andrea Conti, Matteo Poggi, Filippo Aleotti, Stefano Mattoccia:
Unsupervised confidence for LiDAR depth maps and applications. CoRR abs/2210.03118 (2022) - 2021
- [j2]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): 15 (2021) - [c13]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: 207-217 - [c12]Filippo Aleotti, Matteo Poggi, Stefano Mattoccia:
Learning Optical Flow From Still Images. CVPR 2021: 15201-15211 - [c11]Matteo Poggi, Filippo Aleotti, Stefano Mattoccia:
Sensor-Guided Optical Flow. ICCV 2021: 7888-7898 - [i12]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 abs/2101.00431 (2021) - [i11]Filippo Aleotti, Matteo Poggi, Stefano Mattoccia:
Learning optical flow from still images. CoRR abs/2104.03965 (2021) - [i10]Matteo Poggi, Filippo Aleotti, Stefano Mattoccia:
Sensor-Guided Optical Flow. CoRR abs/2109.15321 (2021) - [i9]Filippo Aleotti, Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Neural Disparity Refinement for Arbitrary Resolution Stereo. CoRR abs/2110.15367 (2021) - 2020
- [j1]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): 2047 (2020) - [c10]Filippo Aleotti, Matteo Poggi, Fabio Tosi, Stefano Mattoccia:
Learning End-to-End Scene Flow by Distilling Single Tasks Knowledge. AAAI 2020: 10435-10442 - [c9]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: 1581-1583 - [c8]Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia:
On the Uncertainty of Self-Supervised Monocular Depth Estimation. CVPR 2020: 3224-3234 - [c7]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: 4653-4664 - [c6]Filippo Aleotti, Fabio Tosi, Li Zhang, Matteo Poggi, Stefano Mattoccia:
Reversing the Cycle: Self-supervised Deep Stereo Through Enhanced Monocular Distillation. ECCV (11) 2020: 614-632 - [c5]Matteo Poggi, Filippo Aleotti, Fabio Tosi, Giulio Zaccaroni, Stefano Mattoccia:
Self-adapting Confidence Estimation for Stereo. ECCV (24) 2020: 715-733 - [c4]Matteo Poggi, Fabio Tosi, Filippo Aleotti, Stefano Mattoccia:
Leveraging a weakly adversarial paradigm for joint learning of disparity and confidence estimation. ICPR 2020: 270-277 - [i8]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 abs/2003.14030 (2020) - [i7]Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia:
On the uncertainty of self-supervised monocular depth estimation. CoRR abs/2005.06209 (2020) - [i6]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 abs/2006.05724 (2020) - [i5]Matteo Poggi, Filippo Aleotti, Fabio Tosi, Giulio Zaccaroni, Stefano Mattoccia:
Self-adapting confidence estimation for stereo. CoRR abs/2008.06447 (2020) - [i4]Filippo Aleotti, Fabio Tosi, Li Zhang, Matteo Poggi, Stefano Mattoccia:
Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation. CoRR abs/2008.07130 (2020)
2010 – 2019
- 2019
- [c3]Fabio Tosi, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia:
Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge. CVPR 2019: 9799-9809 - [i3]Fabio Tosi, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia:
Learning monocular depth estimation infusing traditional stereo knowledge. CoRR abs/1904.04144 (2019) - [i2]Filippo Aleotti, Matteo Poggi, Fabio Tosi, Stefano Mattoccia:
Learning End-To-End Scene Flow by Distilling Single Tasks Knowledge. CoRR abs/1911.10090 (2019) - 2018
- [c2]Filippo Aleotti, Fabio Tosi, Matteo Poggi, Stefano Mattoccia:
Generative Adversarial Networks for Unsupervised Monocular Depth Prediction. ECCV Workshops (1) 2018: 337-354 - [c1]Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia:
Towards Real-Time Unsupervised Monocular Depth Estimation on CPU. IROS 2018: 5848-5854 - [i1]Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia:
Towards real-time unsupervised monocular depth estimation on CPU. CoRR abs/1806.11430 (2018)
Coauthor Index
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