Foto del docente

Stefano Mattoccia

Associate Professor

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]

Tassinari, Patrizia; Bovo, Marco; Benni, Stefano; Franzoni, Simone; Poggi, Matteo; Mammi, Ludovica Maria Eugenia; Mattoccia, Stefano; Di Stefano, Luigi; Bonora, Filippo; Barbaresi, Alberto; Santolini, Enrica; Torreggiani, Daniele, A computer vision approach based on deep learning for the detection of dairy cows in free stall barn, «COMPUTERS AND ELECTRONICS IN AGRICULTURE», 2021, 182, pp. 1 - 15 [Scientific article]

Poggi, Matteo; Tonioni, Alessio; Tosi, Fabio; Mattoccia, Stefano; Di Stefano, Luigi, Continual Adaptation for Deep Stereo, «IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE», 2021, PP, pp. 1 - 1 [Scientific article]

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, F. Tosi, K. Batsos, P. Mordohai, S. Mattoccia, On the Synergies between Machine Learning and Binocular Stereo for Depth Estimation from Images: a Survey, «IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE», 2021, In fase di pubblicazione, pp. 1 - 20 [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]

Poggi, Matteo; Agresti, Gianluca; Tosi, Fabio; Zanuttigh, Pietro; Mattoccia, Stefano, Confidence Estimation for ToF and Stereo Sensors and Its Application to Depth Data Fusion, «IEEE SENSORS JOURNAL», 2020, 20, pp. 1411 - 1421 [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]

Poggi, Matteo; Tosi, Fabio; Mattoccia, Stefano, Good cues to learn from scratch a confidence measure for passive depth sensors, «IEEE SENSORS JOURNAL», 2020, 20, pp. 13533 - 13541 [Scientific article]

Poggi, Matteo; Tosi, Fabio; Mattoccia, Stefano, Learning a confidence measure in the disparity domain from O(1) features, «COMPUTER VISION AND IMAGE UNDERSTANDING», 2020, 193, pp. 1 - 8 [Scientific article]

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]

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