Foto del docente

Filippo Aleotti

PhD Student

Department of Computer Science and Engineering

Academic discipline: ING-INF/05 Information Processing Systems

Publications

M. Poggi, F. Aleotti, S. Mattoccia, Learning optical flow from still image, in: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, in corso di stampa, pp. N/A - N/A (atti di: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021), Virtual, 19-25 June, 2021) [Contribution to conference proceedings]

Cipolletta, Antonio; Peluso, Valentino; Calimera, Andrea; Poggi, Matteo; Tosi, Fabio; Aleotti, Filippo; Mattoccia, Stefano, Energy-Quality Scalable Monocular Depth Estimation on Low-Power CPUs, «IEEE INTERNET OF THINGS JOURNAL», 2021, Early access, in fase di pubblicazione, pp. 1 - 1 [Scientific article]

M. Poggi, F. Tosi, F. Aleotti, S. Mattoccia, Leveraging a weakly adversarial paradigm for joint learning of disparity and confidence estimation, in: 25th International Conference on Pattern Recognition (ICPR 2020), 2021, pp. 1 - 8 (atti di: 25th International Conference on Pattern Recognition (ICPR 2020), Milan, Italy, January 10-15, 2021) [Contribution to conference proceedings]

Peluso, Valentino; Cipolletta, Antonio; Calimera, Andrea; Poggi, Matteo; Tosi, Fabio; Aleotti, Filippo; Mattoccia, Stefano, Monocular Depth Perception on Microcontrollers for Edge Applications, «IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY», 2021, Early access, in fase di pubblicazione, pp. 1 - 13 [Scientific article]

M. Poggi, S. Kim, F. Tosi, S. Kim, F. Aleotti, D. Min, K. Sohn, S. Mattoccia, On the confidence of stereo matching in a deep-learning era: a quantitative evaluation, «IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE», 2021, In fase di pubblicazione, pp. 1 - 20 [Scientific article]

Livoroi A.-H.; Conti A.; Foianesi L.; Tosi F.; Aleotti F.; Poggi M.; Tauro F.; Toth E.; Grimaldi S.; Mattoccia S., On the deployment of out-of-the-box embedded devices for self-powered river surface flow velocity monitoring at the edge, «APPLIED SCIENCES», 2021, 11, pp. 1 - 15 [Scientific article]

Aleotti, Filippo; Zaccaroni, Giulio; Bartolomei, Luca; Poggi, Matteo; Tosi, Fabio; Mattoccia, Stefano, Real-Time Single Image Depth Perception in the Wild with Handheld Devices, «SENSORS», 2021, 21, pp. 1 - 17 [Scientific article]

F. Tosi, F. Aleotti, P. Zama Ramirez, M. Poggi, S. Salti, L. Di Stefano, S. Mattoccia, Distilled semantics for comprehensive scene understanding from videos, in: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, IEEE/CVF, 2020, pp. 4654 - 4665 (atti di: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Washington, USA, June 16-18, 2020, Seattle) [Contribution to conference proceedings]

Tosi, Fabio; Rocca, Matteo; Aleotti, Filippo; Poggi, Matteo; Mattoccia, Stefano; Tauro, Flavia; Toth, Elena; Grimaldi, Salvatore, Enabling Image-Based Streamflow Monitoring at the Edge, «REMOTE SENSING», 2020, 12, pp. 1 - 18 [Scientific article]Open Access

Peluso V.; Cipolletta A.; Calimera A.; Poggi M.; Tosi F.; Aleotti F.; Mattoccia S., Enabling monocular depth perception at the very edge, in: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, IEEE Computer Society, 2020, pp. 1581 - 1583 (atti di: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020, USA, 2020) [Contribution to conference proceedings]

F. Aleotti, M. Poggi, F. Tosi, S. Mattoccia, Learning end-to-end scene flow by distilling single tasks knowledge, in: Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), Palo Alto, California USA, AAAI Press, 2020, 34, pp. 10435 - 10442 (atti di: Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York, USA, February 7-12 2020) [Contribution to conference proceedings]

Patent n. 102020000016054, Method for determining the confidence of a disparity map through a self-adaptive learning of a neural network, and sensor system thereof.

M. Poggi, F. Aleotti, F. Tosi, S. Mattoccia, On the Uncertainty of Self-Supervised Monocular Depth Estimation, in: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, IEEE/CVF, 2020, pp. 3227 - 3237 (atti di: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Seattle, Washington, USA, June 16-18, 2020) [Contribution to conference proceedings]

F. Aleotti, F. Tosi, L. Zhang, M. Poggi, S. Mattoccia,, Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation, in: 16th European Conference on Computer Vision (ECCV 2020), Heidelberg, Springer, 2020, 12356, pp. 614 - 632 (atti di: 16th European Conference on Computer Vision (ECCV 2020), Glasgow, UK (Virtual), 23-28 August 2020) [Contribution to conference proceedings]

M. Poggi, F. Aleotti, F. Tosi, Giulio Zaccaroni, S. Mattoccia, Self-adapting confidence estimation for stereo, in: 16th European Conference on Computer Vision (ECCV 2020), Heidelberg, Springer, 2020, 12369, pp. 715 - 733 (atti di: 16th European Conference on Computer Vision (ECCV 2020), Glasgow, UK (Virtual), 23-28 August 2020) [Contribution to conference proceedings]

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