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]
Tosi, Fabio; Bartolomei, Luca; Poggi, Matteo, A Survey on Deep Stereo Matching in the Twenties, «INTERNATIONAL JOURNAL OF COMPUTER VISION», 2025, 1, pp. 1 - 32 [articolo]
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 [articolo]Open Access
Conti, Andrea; Poggi, Matteo; Cambareri, Valerio; Mattoccia, Stefano, Depth on Demand: Streaming Dense Depth from a Low Frame Rate Active Sensor, in: European Conference on Computer Vision, Berlin, Heidelberg, Springer-Verlag, «LECTURE NOTES IN COMPUTER SCIENCE», 2024, pp. 283 - 302 (atti di: European Conference on Computer Vision (ECCV 2024), Milan, Italy, September 29-October 4, 2024) [Contributo in Atti di convegno]
Tosi, Fabio; ZAMA RAMIREZ, Pierluigi; Poggi, Matteo, Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions, in: Lecture Notes in Computer Science, Springer, 2024, pp. 236 - 257 (atti di: 18th European Conference on Computer Vision, ECCV 2024, Milan, 29 September 2024 - 4 October 2024) [Contributo in Atti di convegno]
Fan, Rizhao; Poggi, Matteo; Mattoccia, Stefano, Exploring Few-Beam LiDAR Assistance in Self-Supervised Multi-Frame Depth Estimation, in: 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 2024, pp. 2770 - 2777 (atti di: 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Abu Dhabi, United Arab Emirates, 14-18 October 2024) [Contributo in Atti di convegno]
Poggi, Matteo; Tosi, Fabio, Federated Online Adaptation for Deep Stereo, in: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA, IEEE Computer Society, «PROCEEDINGS IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION», 2024, pp. 20165 - 20175 (atti di: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, usa, 2024) [Contributo in Atti di convegno]
Bartolomei, Luca; Poggi, Matteo; Conti, Andrea; Mattoccia, Stefano, LiDAR-Event Stereo Fusion with Hallucinations, in: European Conference on Computer Vision, Berlin, Heidelberg, Springer-Verlag, «LECTURE NOTES IN COMPUTER SCIENCE», 2024, pp. 125 - 145 (atti di: European Conference on Computer Vision (ECCV 2024), Milan, Italy, September 29–October 4, 2024) [Contributo in Atti di convegno]
Baek, Jongbeom; Kim, Gyeongnyeon; Park, Seonghoon; An, Honggyu; Poggi, Matteo; Kim, Seungryong, MaskingDepth: Masked Consistency Regularization for Semi-Supervised Monocular Depth Estimation, in: IEEE International Conference on Intelligent Robots and Systems, Institute of Electrical and Electronics Engineers Inc., «PROCEEDINGS OF THE ... IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS», 2024, pp. 2755 - 2762 (atti di: 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024, are, 2024) [Contributo in Atti di convegno]
Fabio Tosi,
Filippo Aleotti,
Pierluigi Zama Ramirez,
Matteo Poggi,
Samuele Salti,
Stefano Mattoccia,
Luigi Di Stefano, Neural Disparity Refinement, «IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE», 2024, Early access, pp. 1 - 18 [articolo]
Zama Ramirez P.; Tosi F.; Di Stefano L.; Timofte R.; Costanzino A.; Poggi M.; Salti S.; Mattoccia S.; Zhang Y.; Wu C.; He Z.; Yin S.; Dong J.; Liu Y.; Jiang H.; Shi J.; Yong A.; Jin Y.; Li D.; Ke B.; Obukhov A.; Wang T.; Metzger N.; Huang S.; Schindler K.; Huang Y.; Li J.; Zhang J.; Wang Y.; Huang Z.; Liu T.; Cao Z.; Li P.; Wang J.-L.; Zhu W.; Geng H.; Zhang Y.; Lan L.; Xu K.; Sun T.; Xu Q.; Saini S.; Gupta A.; Mistry S.K.; Shukla A.; Jakhetiya V.; Jaiswal S.; Sun Y.; Zheng Z.; Ning Y.; Cheng J.-H.; Liu H.-I.; Huang H.-W.; Yang C.-Y.; Jiang Z.; Peng Y.-H.; Huang A.; Hwang J.-N., NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces, in: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, «IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS», 2024, 33, pp. 6499 - 6512 (atti di: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Seattle, WA, USA, 17-18 June 2024) [Contributo in Atti di convegno]
Conti, Andrea; Poggi, Matteo; Cambareri, Valerio; Mattoccia, Stefano, Range-Agnostic Multi-View Depth Estimation with Keyframe Selection, in: 2024 International Conference on 3D Vision (3DV), IEEE, 2024, pp. 1350 - 1359 (atti di: 2024 International Conference on 3D Vision (3DV), Davos, Switzerland, March 18–21, 2024) [Contributo in Atti di convegno]
Bartolomei, Luca; Poggi, Matteo; Conti, Andrea; Tosi, Fabio; Mattoccia, Stefano, Revisiting Depth Completion from a Stereo Matching Perspective for Cross-domain Generalization, in: 2024 International Conference on 3D Vision (3DV), IEEE, 2024, pp. 1360 - 1370 (atti di: 2024 International Conference on 3D Vision (3DV), Davos, Switzerland, March 18–21, 2024) [Contributo in Atti di convegno]
Qiao X.; Poggi M.; Deng P.; Wei H.; Ge C.; Mattoccia S., RGB Guided ToF Imaging System: A Survey of Deep Learning-Based Methods, «INTERNATIONAL JOURNAL OF COMPUTER VISION», 2024, 132, pp. 4954 - 4991 [articolo]
Safadoust, Sadra; Tosi, Fabio; Güney, Fatma; Poggi, Matteo, Self-Evolving Depth-Supervised 3D Gaussian Splatting from Rendered Stereo Pairs, in: 2024 Proceedings of the British Machine Vision Conference (BMVC), 2024, pp. 1 - 17 (atti di: British Machine VIsion Conference (BMVC), Glasgow, UK, 25 Novembre 2024) [Contributo in Atti di convegno]
