Amaduzzi A.; Lisanti G.; Salti S.; Di Stefano L., Looking at words and points with attention: a benchmark for text-to-shape coherence, in: Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops - ICCVW, 2023, pp. 2860 - 2869 (atti di: IEEE/CVF International Conference on Computer Vision Workshops, Paris, France, 02-06 October 2023) [Contribution to conference proceedings]Open Access
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
Toschi, Marco; De Matteo, Riccardo; Spezialetti, Riccardo; De Gregorio, Daniele; Di Stefano, Luigi; Salti, Samuele, ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects, in: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA, IEEE COMPUTER SOC, 2023, pp. 20762 - 20772 (atti di: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, BC, Canada, 17-24 June 2023) [Contribution to conference proceedings]Open Access
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
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
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 [Scientific article]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]
Dai Y.; Song W.; Li Y.; Luigi Di Stefano, Feature disentangling and reciprocal learning with label-guided similarity for multi-label image retrieval, «NEUROCOMPUTING», 2022, 511, pp. 353 - 365 [Scientific article]
Gianluca Berardi, Luca De Luigi, Samuele Salti, Luigi Di Stefano, Learning the Space of Deep Models, in: 2022 26th International Conference on Pattern Recognition (ICPR), New York, IEEE Computer Society, 2022, pp. 2482 - 2488 (atti di: IAPR INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, Montreal, Canada, 21-25 Agosto 2022) [Contribution to conference proceedings]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: 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
Marcon, Marlon; Spezialetti, Riccardo; Salti, Samuele; Silva, Luciano; Di Stefano, Luigi, Unsupervised Learning of Local Equivariant Descriptors for Point Clouds, «IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE», 2022, 44, pp. 9687 - 9702 [Scientific article]Open Access
Tassinari, Patrizia; Bovo, Marco; Benni, Stefano; Franzoni, Simone; Poggi, Matteo; Mammi, Ludovica Maria Eugenia; Mattoccia, Stefano; Di Stefano, Luigi; Bonora, Filippo; Barbaresi, Alberto; Santolini, Enrica; Torreggiani, Daniele, A computer vision approach based on deep learning for the detection of dairy cows in 2 free stall barn, «COMPUTERS AND ELECTRONICS IN AGRICULTURE», 2021, 182, Article number: 106030 , pp. 1 - 15 [Scientific article]Open Access
