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
Ballerini F.; Zama Ramirez P.; Mirabella R.; Salti S.; Di Stefano L., Connecting NeRFs, Images, and Text, in: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024, 2024, 34, pp. 866 - 876 (atti di: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024, Seattle, WA, USA, 17-18 June 2024) [Contribution to conference proceedings]
Zama Ramirez P.; De Luigi L.; Sirocchi D.; Cardace A.; Spezialetti R.; Ballerini F.; Salti S.; Di Stefano L., Deep Learning on Object-centric 3D Neural Fields, «IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE», 2024, Early Access, pp. 1 - 17 [Scientific article]
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) [Contribution to conference proceedings]
Amaduzzi, Andrea; ZAMA RAMIREZ, Pierluigi; Lisanti, Giuseppe; Salti, Samuele; DI STEFANO, Luigi, LLaNA: Large Language and NeRF Assistant, in: ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS, 2024, 37, pp. 1162 - 1195 (atti di: ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS, Vancouver, From 10th of December to 15th of December) [Contribution to conference proceedings]
Costanzino, Alex; ZAMA RAMIREZ, Pierluigi; Lisanti, Giuseppe; DI STEFANO, Luigi, Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping, in: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, pp. 17234 - 17243 (atti di: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle WA, USA, 16-22 June 2024) [Contribution to conference proceedings]Open Access
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, 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) [Contribution to conference proceedings]
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 [Scientific article]
Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini, Allan Zhou, Samuele Salti, Luigi Di Stefano, Neural Processing of Tri-Plane Hybrid Neural Fields, in: The Twelfth International Conference on Learning Representations, Appleton, ICLR, 2024, pp. 1 - 27 (atti di: The Twelfth International Conference on Learning Representations (ICLR 2024), Vienna, Austria, 07/05/2024) [Contribution to conference proceedings]Open Access
Costanzino A.; Zama Ramirez P.; Del Moro M.; Aiezzo A.; Lisanti G.; Salti S.; Di Stefano L., Test Time Training for Industrial Anomaly Segmentation, in: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2024, 35, pp. 3910 - 3920 (atti di: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Seattle, WA, USA, 17-18 June 2024) [Contribution to conference proceedings]
Adriano Cardace; Andrea Conti; Pierluigi Zama Ramirez; Riccardo Spezialetti; Samuele Salti; Luigi Di Stefano, Boosting Multi-Modal Unsupervised Domain Adaptation for LiDAR Semantic Segmentation by Self-Supervised Depth Completion, «IEEE ACCESS», 2023, 11, pp. 85155 - 85164 [Scientific article]Open Access
Luca De Luigi, Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi di Stefano, Deep Learning on Implicit Neural Representations of Shapes, in: The Eleventh International Conference on Learning Representations, Appleton, ICLR, 2023, 2023, pp. 1 - 39 (atti di: The Eleventh International Conference on Learning Representations, Kigali, Rwanda, 01/05/2023) [Contribution to conference proceedings]Open Access
Adriano Cardace, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano, Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation, in: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), New York, IEEE Computer Society, 2023, pp. 98 - 109 (atti di: IEEE/CVF Conference on Computer Vision and Pattern Recognition, Vancouver, Canada, 18/06/2023) [Contribution to conference proceedings]Open Access
Costanzino, Alex; ZAMA RAMIREZ, Pierluigi; Poggi, Matteo; Tosi, Fabio; Mattoccia, Stefano; DI STEFANO, Luigi, 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
Pierluigi Zama Ramirez; Adriano Cardace; Luca De Luigi; Alessio Tonioni; Samuele Salti; Luigi Di Stefano, Learning Good Features to Transfer Across Tasks and Domains, «IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE», 2023, 45, pp. 9981 - 9995 [Scientific article]Open Access
