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, 17-24 June 2023) [Contribution to conference proceedings]Open Access
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) [Contribution to conference proceedings]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) [Contribution to conference proceedings]
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, 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) [Contribution to conference proceedings]Open Access
Cardace, Adriano; DE LUIGI, Luca; ZAMA RAMIREZ, Pierluigi; Salti, Samuele; DI STEFANO, Luigi, 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) [Contribution to conference proceedings]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), 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) [Contribution to conference proceedings]Open Access
Cardace, Adriano; ZAMA RAMIREZ, Pierluigi; Salti, Samuele; DI STEFANO, Luigi, 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) [Contribution to conference proceedings]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 [Scientific article]Open Access
Aleotti, Filippo; Tosi, Fabio; ZAMA RAMIREZ, Pierluigi; Poggi, Matteo; Salti, Samuele; Mattoccia, Stefano; DI STEFANO, Luigi, 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) [Contribution to conference proceedings]
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) [Contribution to conference proceedings]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) [Contribution to conference proceedings]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., 2020, pp. 99 - 106 (atti di: 3rd IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020, Utrecht, Netherlands, 14-18 December 2020) [Contribution to conference proceedings]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) [Contribution to conference proceedings]
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, 2019, pp. 8109 - 8118 (atti di: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, South Korea, 27 Oct.-2 Nov. 2019) [Contribution to conference proceedings]
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) [Contribution to conference proceedings]
