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Matteo Poggi

Ricercatore a tempo determinato tipo b) (senior)

Dipartimento di Informatica - Scienza e Ingegneria

Settore scientifico disciplinare: ING-INF/05 SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI

Pubblicazioni

R. Fan; Z. Li, M. Poggi, S. Mattoccia, A Cascade Dense Connection Fusion Network for Depth Completion, in: Proceedings of 33rd British Machine Vision Conference (BMVC 2022), in corso di stampa, pp. 1 - 15 (atti di: 33rd British Machine Vision Conference (BMVC 2022),, London, UK, November 21 - 24, 2022) [Contributo in Atti di convegno]

Luca De Luigi, Damiano Bolognini, Federico Domeniconi, Daniele De Gregorio, Matteo Poggi, Luigi Di Stefano, ScanNeRF: a Scalable Benchmark for Neural Radiance Fields, in: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023, pp. 1 - 8 (atti di: IEEE/CVF Winter Conference on Applications of Computer Vision, Hawaii, 3 Gennaio 2023) [Contributo in Atti di convegno]

Andrea Conti, Matteo Poggi, Stefano Mattoccia, Sparsity Agnostic Depth Completion, in: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023, pp. 1 - 8 (atti di: Winter Conference on Applications of Computer Vision (WACV), Hawaii, 3 Gennaio 2023) [Contributo in Atti di convegno]

Jaime Spencer; C. Stella Qian; Chris Russell; Simon Hadfield; Erich Graf; Wendy Adams; Andrew J. Schofield; James Elder; Richard Bowden; Heng Cong; Stefano Mattoccia; Matteo Poggi; Zeeshan Khan Suri; Yang Tang; Fabio Tosi; Hao Wang; Youmin Zhang; Yusheng Zhang; Chaoqiang Zhao, The Monocular Depth Estimation Challenge, in: Proceeding of the Monocular Depth Estimation Challenge Workshop held in conjunction with IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023), 2023, pp. 1 - 10 (atti di: The Monocular Depth Estimation Challenge Workshop, Waikoloa, Hawaii (USA), January 7, 2023) [Contributo in Atti di convegno]

Poggi, Matteo; Tonioni, Alessio; Tosi, Fabio; Mattoccia, Stefano; Di Stefano, Luigi, Continual Adaptation for Deep Stereo, «IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE», 2022, 44, pp. 4713 - 4729 [articolo]Open Access

Matteo Poggi, Pierluigi Zama Ramirez, Fabio Tosi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano, Cross-Spectral Neural Radiance Fields, in: Proceedings of the International Conference on 3D Vision (3DV), 2022, pp. 1 - 8 (atti di: International Conference on 3D Vision (3DV), Praga, Repubblica Ceca, 12 settembre 2022) [Contributo in Atti di convegno]

Qiao, Xin; Ge, Chenyang; Deng, Pengchao; Wei, Hao; Poggi, Matteo; Mattoccia, Stefano, Depth Restoration in Under-Display Time-of-Flight Imaging, «IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE», 2022, PP, pp. 1 - 17 [articolo]

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», 2022, 9, pp. 25 - 36 [articolo]

S. Kim, M. Poggi, S. Kim, K. Sohn, S. Mattoccia, Meta-confidence estimation for stereo matching, in: Proceedings of the International Conference on Robotics and Automation (ICRA 2022), IEEE, 2022, pp. 10624 - 10631 (atti di: International Conference on Robotics and Automation (ICRA 2022), Philadelphia (PA), USA, May 23-27, 2021) [Contributo in Atti di convegno]

Mingozzi, Alessio; Conti, Andrea; Aleotti, Filippo; Poggi, Matteo; Mattoccia, Stefano, Monitoring Social Distancing With Single Image Depth Estimation, «IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE», 2022, Early access, pp. 1 - 12 [articolo]Open Access

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», 2022, 32, pp. 1524 - 1536 [articolo]Open Access

Chaoqiang Zhao, Youmin Zhang, Matteo Poggi, Fabio Tosi, Xianda Guo, Zheng Zhu, Guan Huang, Yang Tang, Stefano Mattoccia, MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer, in: Proceedings of the International Conference on 3D Vision (3DV), 2022, pp. 1 - 8 (atti di: International Conference on 3D Vision (3DV), Praga, Repubblica Ceca, 12 settembre 2022) [Contributo in Atti di convegno]

Matteo Poggi, Andrea Conti, Stefano Mattoccia, Multi-View Guided Multi-View Stereo, in: Proceedings IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), IEEE, 2022, pp. 8391 - 8398 (atti di: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), Kyoto, Japan, October 23-27, 2022) [Contributo in Atti di convegno]

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», 2022, 44, pp. 5314 - 5334 [articolo]Open Access

Ramirez, Pierluigi Zama; Tosi, Fabio; Poggi, Matteo; Salti, Samuele; Mattoccia, Stefano; Di Stefano, Luigi, Open Challenges in Deep Stereo: the Booster Dataset, in: Proceedings of the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, «PROCEEDINGS IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION», 2022, pp. 21136 - 21146 (atti di: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, USA, 18-24 June 2022) [Contributo in Atti di convegno]

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