Foto del docente

Matteo Poggi

Senior assistant professor (fixed-term)

Department of Computer Science and Engineering

Academic discipline: ING-INF/05 Information Processing Systems

Publications

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) [Contribution to conference proceedings]

Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano, Booster: A Benchmark for Depth From Images of Specular and Transparent Surfaces, «IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE», 2024, 46, pp. 85 - 102 [Scientific article]Open Access

Luca Bartolomei; Matteo Poggi; Fabio Tosi; Andrea Conti; Stefano Mattoccia, Active Stereo Without Pattern Projector, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023, pp. 18470 - 18482 (atti di: International Conference on Computer Vision (ICCV), Paris, FR, October 04-06, 2023) [Contribution to conference proceedings]

Zhang, Youmin; Guo, Xianda; Poggi, Matteo; Zhu, Zheng; Huang, Guan; Mattoccia, Stefano, CompletionFormer: Depth Completion with Convolutions and Vision Transformers, in: Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA, IEEE COMPUTER SOC, 2023, pp. 18527 - 18536 (atti di: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 18 giugno 2023) [Contribution to conference proceedings]

Fan, Rizhao; Poggi, Matteo; Mattoccia, Stefano, Contrastive Learning for Depth Prediction, in: Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2023), 2023, pp. 3226 - 3237 (atti di: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 18 giugno 2023) [Contribution to conference proceedings]

Minelli G.; Poggi M.; Salti S., Depth Self-Supervision for Single Image Novel View Synthesis, in: Proc. of 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2023, pp. 5836 - 5843 (atti di: International Conference on Intelligent Robots and Systems, Detroit, Michigan, USA, October 1 – 5, 2023) [Contribution to conference proceedings]

Qiao, Xin; Ge, Chenyang; Zhang, Youmin; Zhou, Yanhui; Tosi, Fabio; Poggi, Matteo; Mattoccia, Stefano, Depth super-resolution from explicit and implicit high-frequency features, «COMPUTER VISION AND IMAGE UNDERSTANDING», 2023, 237, Article number: 103841 , pp. 1 - 12 [Scientific article]

Zhao, Chaoqiang; Poggi, Matteo; Tosi, Fabio; Zhou, Lei; Sun, Qiyu; Tang, Yang; Mattoccia, Stefano, GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes, in: Proceedings of IEEE/CVF International Conference on Computer Vision (ICCV 2023), 2023, pp. 16163 - 16174 (atti di: IEEE/CVF Conference on Computer Vision (ICCV), Parigi, 02 Ottobre 2023) [Contribution to conference proceedings]

Zhang, Youmin; Tosi, Fabio; Mattoccia, Stefano; Poggi, Matteo, GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction, in: Proceedings of IEEE/CVF International Conference on Computer Vision (ICCV 2023), 2023, pp. 3704 - 3714 (atti di: IEEE/CVF Conference on Computer Vision (ICCV), Parigi, 02 Ottobre 2023) [Contribution to conference proceedings]

Alex Costanzino, Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano, Learning Depth Estimation for Transparent and Mirror Surfaces, in: 2023 IEEE/CVF International Conference on Computer Vision (ICCV), New York, IEEE, 2023, pp. 9210 - 9221 (atti di: IEEE/CVF International Conference on Computer Vision (ICCV), Parigi, Francia, 02/10/2023) [Contribution to conference proceedings]Open Access

Rizhao Fan, Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Lightweight Self-Supervised Depth Estimation with few-beams LiDAR Data, in: The 34th British Machine Vision Conference Proceedings, British Machine Vision Association’s (BMVA), 2023, pp. 1 - 15 (atti di: The 34th British Machine Vision Conference, Aberdeen, UK, 20th - 24th November 2023) [Contribution to conference proceedings]

Tosi, Fabio; Tonioni, Alessio; De Gregorio, Daniele; Poggi, Matteo, NeRF-Supervised Deep Stereo, in: Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA, IEEE COMPUTER SOC, 2023, pp. 855 - 866 (atti di: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 18 giugno 2023) [Contribution to conference proceedings]

Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Jun Shi, Dafeng Zhang, Yong A, Yixiang Jin, Dingzhe Li, Chao Li, Zhiwen Liu, Qi Zhang, Yixing Wang, Shi Yin, NTIRE 2023 Challenge on HR Depth From Images of Specular and Transparent Surfaces, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2023, pp. 1384 - 1395 (atti di: IEEE/CVF Conference on Computer Vision and Pattern Recognition, Vancouver, Canada, 18/06/2023) [Contribution to conference proceedings]

Huan Li, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, On-Site Adaptation for Monocular Depth Estimation with a Static Camera, in: The 34th British Machine Vision Conference Proceedings, British Machine Vision Association’s (BMVA), 2023, pp. 1 - 15 (atti di: The 34th British Machine Vision Conference, Aberdeen, UK, 20th - 24th November 2023) [Contribution to conference proceedings]

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) [Contribution to conference proceedings]Open Access

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