Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano, Self-Distillation for Unsupervised 3D Domain Adaptation, in: 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), New York, IEEE, 2023, pp. 4166 - 4177 (atti di: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawai, 3-7 Jan. 2023) [Contributo in Atti di convegno]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]
Ramirez, Pierluigi Zama; Tosi, Fabio; Poggi, Matteo; Salti, Samuele; Mattoccia, Stefano; Di Stefano, Luigi, Open Challenges in Deep Stereo: the Booster Dataset, in: 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 2022), New Orleans, LA, USA, 18-24 June 2022) [Contributo in Atti di convegno]Open Access
Adriano Cardace, Luca De Luigi, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano;, Plugging Self-Supervised Monocular Depth Into Unsupervised Domain Adaptation for Semantic Segmentation, in: 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), IEEE, 2022, pp. 1999 - 2009 (atti di: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawai, 3-8 Jan. 2022) [Contributo in Atti di convegno]Open Access
Tosi, Fabio; Ramirez, Pierluigi Zama; Poggi, Matteo; Salti, Samuele; Mattoccia, Stefano; Di Stefano, Luigi, RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation, in: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), «PROCEEDINGS IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION», 2022, pp. 15937 - 15947 (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]Open Access
Adriano Cardace; Pierluigi Zama Ramirez; Samuele Salti; Luigi Di Stefano, Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries, in: 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), IEEE, 2022, pp. 2010 - 2020 (atti di: 22nd IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, Waikoloa, Hawai, 4-8 Jan. 2022) [Contributo in Atti di convegno]Open Access
De Gregorio D.; Poggi M.; Zama Ramirez P.; Palli G.; Mattoccia S.; Di Stefano L., Beyond the Baseline: 3D Reconstruction of Tiny Objects with Single Camera Stereo Robot, «IEEE ACCESS», 2021, 9, pp. 119755 - 119765 [articolo]Open Access
Filippo Aleotti, Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano, Neural Disparity Refinement for Arbitrary Resolution Stereo, in: 2021 International Conference on 3D Vision (3DV), IEEE, 2021, pp. 207 - 217 (atti di: 2021 International Conference on 3D Vision (3DV), London, United Kingdom, 1-3 Dec. 2021) [Contributo in Atti di convegno]
Adriano Cardace; Riccardo Spezialetti ; Pierluigi Zama Ramirez; Samuele Salti; Luigi Di Stefano, RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation, in: 2021 International Conference on 3D Vision (3DV), IEEE, 2021, pp. 331 - 341 (atti di: 9th International Conference on 3D Vision (3DV), London, United Kingdom, Dec. 1 2021 to Dec. 3 2021) [Contributo in Atti di convegno]Open Access
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: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE/CVF, 2020, pp. 4653 - 4664 (atti di: Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Washington, USA, June 16-18, 2020, Seattle) [Contributo in Atti di convegno]Open Access
Pierluigi Zama Ramirez; Claudio Paternesi; Luigi Di Lella; Daniele De Gregorio; Luigi Di Stefano, Shooting Labels: 3D Semantic Labeling by Virtual Reality, in: 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020, Institute of Electrical and Electronics Engineers Inc., «...IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND VIRTUAL REALITY», 2020, pp. 99 - 106 (atti di: 3rd IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020, Utrecht, Netherlands, 14-18 December 2020) [Contributo in Atti di convegno]Open Access
P. Zama Ramirez, M. Poggi, F. Tosi, S. Mattoccia, L. Di Stefano, Geometry meets semantic for semi-supervised monocular depth estimation, in: Proceedings of the 14th Asian Conference on Computer Vision (ACCV), 2019, pp. 298 - 313 (atti di: 14th Asian Conference on Computer Vision (ACCV), Perth, Australia, December 2-6, 2018) [Contributo in Atti di convegno]
Ramirez, Pierluigi Zama; Tonioni, Alessio; Salti, Samuele; Stefano, Luigi Di, Learning Across Tasks and Domains, in: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), IEEE, «PROCEEDINGS IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION», 2019, pp. 8109 - 8118 (atti di: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, South Korea, 27 Oct.-2 Nov. 2019) [Contributo in Atti di convegno]
Pierluigi Zama, Alessio Tonioni, Luigi Di Stefano, Exploiting Semantics in Adversarial Training for Image-Level Domain Adaptation, in: Proceedings of the Third IEEE International Conference on Image Processing, Applications and Systems (IPAS 2018), 2018, pp. 49 - 54 (atti di: International Conference on Image Processing, Applications and Systems (IPAS 2018), Sophia Antipholis, France, 12/12/2018-14/12/2018) [Contributo in Atti di convegno]
