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ORCIDLuigi Di Stefano
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- affiliation: University of Bologna, Italy
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2020 – today
- 2024
[j46]Stefano Mazzocchetti
, Mirko Bevini, Giovanni Badiali, Giuseppe Lisanti, Luigi Di Stefano, Samuele Salti:
Automatic Implant Generation for Cranioplasty via Occupancy Networks. IEEE Access 12: 95185-95195 (2024)- [j45]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 Trans. Pattern Anal. Mach. Intell. 46(1): 85-102 (2024) - [j44]Fabio Tosi, Filippo Aleotti, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Neural Disparity Refinement. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8900-8917 (2024) - [j43]Pierluigi Zama Ramirez, Luca De Luigi, Daniele Sirocchi, Adriano Cardace, Riccardo Spezialetti, Francesco Ballerini, Samuele Salti, Luigi Di Stefano:
Deep Learning on Object-Centric 3D Neural Fields. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9940-9956 (2024) - [c147]Francesco Ballerini, Pierluigi Zama Ramirez, Roberto Mirabella, Samuele Salti, Luigi Di Stefano:
Connecting NeRFs, Images, and Text. CVPR Workshops 2024: 866-876 - [c146]Alex Costanzino, Pierluigi Zama Ramirez, Mirko Del Moro, Agostino Aiezzo, Giuseppe Lisanti, Samuele Salti, Luigi Di Stefano:
Test Time Training for Industrial Anomaly Segmentation. CVPR Workshops 2024: 3910-3920 - [c145]Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Yangyang Zhang, Cailin Wu, Zhuangda He, Shuangshuang Yin, Jiaxu Dong, Yangchenxu Liu, Hao Jiang, Jun Shi, Yong A, Yixiang Jin, Dingzhe Li, Bingxin Ke, Anton Obukhov, Tinafu Wang, Nando Metzger, Shengyu Huang, Konrad Schindler, Yachuan Huang, Jiaqi Li, Junrui Zhang, Yiran Wang, Zihao Huang, Tianqi Liu, Zhiguo Cao, Pengzhi Li, Jui-Lin Wang, Wenjie Zhu, Hui Geng, Yuxin Zhang, Long Lan, Kele Xu, Tao Sun, Qisheng Xu, Sourav Saini, Aashray Gupta, Sahaj K. Mistry, Aryan Shukla, Vinit Jakhetiya, Sunil Prasad Jaiswal, Yuejin Sun, Zhuofan Zheng, Yi Ning, Jen-Hao Cheng, Hou-I Liu, Hsiang-Wei Huang, Cheng-Yen Yang, Zhongyu Jiang, Yi-Hao Peng, Aishi Huang, Jenq-Neng Hwang:
NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces. CVPR Workshops 2024: 6499-6512 - [c144]Alex Costanzino, Pierluigi Zama Ramirez, Giuseppe Lisanti, Luigi Di Stefano:
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping. CVPR 2024: 17234-17243 - [c143]Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini, Allan Zhou, Samuele Salti, Luigi Di Stefano:
Neural Processing of Tri-Plane Hybrid Neural Fields. ICLR 2024 - [i50]Alex Costanzino, Pierluigi Zama Ramirez, Mirko Del Moro, Agostino Aiezzo, Giuseppe Lisanti, Samuele Salti, Luigi Di Stefano:
Test Time Training for Industrial Anomaly Segmentation. CoRR abs/2404.03743 (2024) - [i49]Francesco Ballerini, Pierluigi Zama Ramirez, Roberto Mirabella, Samuele Salti, Luigi Di Stefano:
Connecting NeRFs, Images, and Text. CoRR abs/2404.07993 (2024) - [i48]Andrea Amaduzzi, Pierluigi Zama Ramirez, Giuseppe Lisanti, Samuele Salti, Luigi Di Stefano:
LLaNA: Large Language and NeRF Assistant. CoRR abs/2406.11840 (2024) - [i47]Alex Costanzino, Pierluigi Zama Ramirez, Giuseppe Lisanti, Luigi Di Stefano:
Looking for Tiny Defects via Forward-Backward Feature Transfer. CoRR abs/2407.04092 (2024) - 2023
- [j42]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 11: 85155-85164 (2023) - [j41]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 Trans. Pattern Anal. Mach. Intell. 45(8): 9981-9995 (2023) - [c142]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. CVPR Workshops 2023: 98-109 - [c141]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. CVPR Workshops 2023: 1384-1395 - [c140]Marco Toschi, Riccardo De Matteo, Riccardo Spezialetti, Daniele De Gregorio, Luigi Di Stefano, Samuele Salti:
ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects. CVPR 2023: 20762-20772 - [c139]Alex Costanzino, Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano:
Learning Depth Estimation for Transparent and Mirror Surfaces. ICCV 2023: 9210-9221 - [c138]Andrea Amaduzzi, Giuseppe Lisanti, Samuele Salti, Luigi Di Stefano:
Looking at words and points with attention: a benchmark for text-to-shape coherence. ICCV (Workshops) 2023: 2860-2869 - [c137]Luca De Luigi, Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano:
Deep Learning on Implicit Neural Representations of Shapes. ICLR 2023 - [c136]Luca De Luigi, Damiano Bolognini, Federico Domeniconi, Daniele De Gregorio, Matteo Poggi, Luigi Di Stefano:
ScanNeRF: a Scalable Benchmark for Neural Radiance Fields. WACV 2023: 816-825 - [c135]Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano:
Self-Distillation for Unsupervised 3D Domain Adaptation. WACV 2023: 4155-4166 - [i46]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. CoRR abs/2301.08245 (2023) - [i45]Pierluigi Zama Ramirez, Adriano Cardace, Luca De Luigi, Alessio Tonioni, Samuele Salti, Luigi Di Stefano:
Learning Good Features to Transfer Across Tasks and Domains. CoRR abs/2301.11310 (2023) - [i44]Luca De Luigi, Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano:
Deep Learning on Implicit Neural Representations of Shapes. CoRR abs/2302.05438 (2023) - [i43]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. CoRR abs/2304.02991 (2023) - [i42]Marco Toschi, Riccardo De Matteo, Riccardo Spezialetti, Daniele De Gregorio, Luigi Di Stefano, Samuele Salti:
ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects. CoRR abs/2304.10448 (2023) - [i41]Alex Costanzino, Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano:
Learning Depth Estimation for Transparent and Mirror Surfaces. CoRR abs/2307.15052 (2023) - [i40]Andrea Amaduzzi, Giuseppe Lisanti, Samuele Salti, Luigi Di Stefano:
Looking at words and points with attention: a benchmark for text-to-shape coherence. CoRR abs/2309.07917 (2023) - [i39]Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini, Allan Zhou, Samuele Salti, Luigi Di Stefano:
Neural Processing of Tri-Plane Hybrid Neural Fields. CoRR abs/2310.01140 (2023) - [i38]Alex Costanzino, Pierluigi Zama Ramirez, Giuseppe Lisanti, Luigi Di Stefano:
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping. CoRR abs/2312.04521 (2023) - [i37]Pierluigi Zama Ramirez, Luca De Luigi, Daniele Sirocchi, Adriano Cardace, Riccardo Spezialetti, Francesco Ballerini, Samuele Salti, Luigi Di Stefano:
Deep Learning on 3D Neural Fields. CoRR abs/2312.13277 (2023) - 2022
- [j40]Yong Dai, Weiwei Song, Yi Li, Luigi Di Stefano:
Feature disentangling and reciprocal learning with label-guided similarity for multi-label image retrieval. Neurocomputing 511: 353-365 (2022) - [j39]Matteo Poggi, Alessio Tonioni, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano:
Continual Adaptation for Deep Stereo. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4713-4729 (2022) - [j38]Marlon Marcon, Riccardo Spezialetti, Samuele Salti, Luciano Silva, Luigi Di Stefano:
Unsupervised Learning of Local Equivariant Descriptors for Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9687-9702 (2022) - [c134]Matteo Poggi, Pierluigi Zama Ramirez, Fabio Tosi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Cross-Spectral Neural Radiance Fields. 3DV 2022: 606-616 - [c133]Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation. CVPR 2022: 15937-15947 - [c132]Pierluigi Zama Ramirez, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Open Challenges in Deep Stereo: the Booster Dataset. CVPR 2022: 21136-21146 - [c131]Gianluca Berardi, Luca De Luigi, Samuele Salti, Luigi Di Stefano:
Learning the Space of Deep Models. ICPR 2022: 2482-2488 - [c130]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. WACV 2022: 1999-2009 - [c129]Adriano Cardace, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano:
Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries. WACV 2022: 2010-2020 - [i36]Pierluigi Zama Ramirez, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Open Challenges in Deep Stereo: the Booster Dataset. CoRR abs/2206.04671 (2022) - [i35]Gianluca Berardi, Luca De Luigi, Samuele Salti, Luigi Di Stefano:
Learning the Space of Deep Models. CoRR abs/2206.05194 (2022) - [i34]Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation. CoRR abs/2206.07047 (2022) - [i33]Matteo Poggi, Pierluigi Zama Ramirez, Fabio Tosi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Cross-Spectral Neural Radiance Fields. CoRR abs/2209.00648 (2022) - [i32]Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano:
Self-Distillation for Unsupervised 3D Domain Adaptation. CoRR abs/2210.08226 (2022) - [i31]Luca De Luigi, Damiano Bolognini, Federico Domeniconi, Daniele De Gregorio, Matteo Poggi, Luigi Di Stefano:
ScanNeRF: a Scalable Benchmark for Neural Radiance Fields. CoRR abs/2211.13762 (2022) - 2021
- [j37]Daniele De Gregorio, Matteo Poggi, Pierluigi Zama Ramirez, Gianluca Palli, Stefano Mattoccia, Luigi Di Stefano:
Beyond the Baseline: 3D Reconstruction of Tiny Objects With Single Camera Stereo Robot. IEEE Access 9: 119755-119765 (2021) - [j36]Patrizia Tassinari, Marco Bovo, Stefano Benni, Simone Franzoni, Matteo Poggi, Ludovica Maria Eugenia Mammi, Stefano Mattoccia, Luigi Di Stefano, Filippo Bonora, Alberto Barbaresi, Enrica Santolini, Daniele Torreggiani:
A computer vision approach based on deep learning for the detection of dairy cows in free stall barn. Comput. Electron. Agric. 182: 106030 (2021) - [j35]Samuele Salti, Alessandro Lanza, Luigi Di Stefano:
Keypoint detection by wave propagation. J. Electronic Imaging 30(1): 013003 (2021) - [c128]Filippo Aleotti, Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Neural Disparity Refinement for Arbitrary Resolution Stereo. 3DV 2021: 207-217 - [c127]Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano:
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation. 3DV 2021: 331-341 - [c126]Gianluca Berardi, Samuele Salti, Luigi Di Stefano:
SketchyDepth: from Scene Sketches to RGB-D Images. ICCVW 2021: 2414-2423 - [i30]Adriano Cardace, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano:
Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries. CoRR abs/2110.02833 (2021) - [i29]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. CoRR abs/2110.06685 (2021) - [i28]Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano:
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation. CoRR abs/2110.11036 (2021) - [i27]Filippo Aleotti, Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Neural Disparity Refinement for Arbitrary Resolution Stereo. CoRR abs/2110.15367 (2021) - 2020
- [j34]Alessio Tonioni, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano:
Unsupervised Domain Adaptation for Depth Prediction from Images. IEEE Trans. Pattern Anal. Mach. Intell. 42(10): 2396-2409 (2020) - [j33]Tommaso Cavallari, Stuart Golodetz, Nicholas A. Lord, Julien P. C. Valentin, Victor Adrian Prisacariu, Luigi Di Stefano, Philip H. S. Torr:
Real-Time RGB-D Camera Pose Estimation in Novel Scenes Using a Relocalisation Cascade. IEEE Trans. Pattern Anal. Mach. Intell. 42(10): 2465-2477 (2020) - [j32]Alessandro Berlati, Oliver Scheel, Luigi Di Stefano, Federico Tombari:
Ambiguity in Sequential Data: Predicting Uncertain Futures With Recurrent Models. IEEE Robotics Autom. Lett. 5(2): 2935-2942 (2020) - [j31]Daniele De Gregorio, Alessio Tonioni, Gianluca Palli, Luigi Di Stefano:
Semiautomatic Labeling for Deep Learning in Robotics. IEEE Trans Autom. Sci. Eng. 17(2): 611-620 (2020) - [c125]Pierluigi Zama Ramirez, Claudio Paternesi, Luca De Luigi, Luigi Lella, Daniele De Gregorio, Luigi Di Stefano:
Shooting Labels: 3D Semantic Labeling by Virtual Reality. AIVR 2020: 99-106 - [c124]Fabio Tosi, Filippo Aleotti, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Luigi Di Stefano, Stefano Mattoccia:
Distilled Semantics for Comprehensive Scene Understanding from Videos. CVPR 2020: 4653-4664 - [c123]Marco Boschi, Luigi Di Stefano, Martino Alessandrini:
SAFFIRE: System for Autonomous Feature Filtering and Intelligent ROI Estimation. ICPR Workshops (4) 2020: 552-565 - [c122]Daniele De Gregorio, Riccardo Zanella, Gianluca Palli, Luigi Di Stefano:
Effective Deployment of CNNs for 3DoF Pose Estimation and Grasping in Industrial Settings. ICPR 2020: 7419-7426 - [c121]Riccardo Spezialetti, Federico Stella, Marlon Marcon, Luciano Silva, Samuele Salti, Luigi Di Stefano:
Learning to Orient Surfaces by Self-supervised Spherical CNNs. NeurIPS 2020 - [i26]Alessandro Berlati, Oliver Scheel, Luigi Di Stefano, Federico Tombari:
Ambiguity in Sequential Data: Predicting Uncertain Futures with Recurrent Models. CoRR abs/2003.10381 (2020) - [i25]Fabio Tosi, Filippo Aleotti, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Luigi Di Stefano, Stefano Mattoccia:
Distilled Semantics for Comprehensive Scene Understanding from Videos. CoRR abs/2003.14030 (2020) - [i24]Matteo Poggi, Alessio Tonioni, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano:
Continual Adaptation for Deep Stereo. CoRR abs/2007.05233 (2020) - [i23]Riccardo Spezialetti, Federico Stella, Marlon Marcon, Luciano Silva, Samuele Salti, Luigi Di Stefano:
Learning to Orient Surfaces by Self-supervised Spherical CNNs. CoRR abs/2011.03298 (2020) - [i22]Marco Boschi, Luigi Di Stefano, Martino Alessandrini:
SAFFIRE: System for Autonomous Feature Filtering and Intelligent ROI Estimation. CoRR abs/2012.02502 (2020) - [i21]Daniele De Gregorio, Riccardo Zanella, Gianluca Palli, Luigi Di Stefano:
Effective Deployment of CNNs for 3DoF Pose Estimation and Grasping in Industrial Settings. CoRR abs/2012.13210 (2020)
2010 – 2019
- 2019
- [j30]Alessio Tonioni, Luigi Di Stefano:
Domain invariant hierarchical embedding for grocery products recognition. Comput. Vis. Image Underst. 182: 81-92 (2019) - [j29]Oscar Rahnama, Tommaso Cavallari, Stuart Golodetz, Alessio Tonioni, Thomas Joy, Luigi Di Stefano, Simon Walker, Philip H. S. Torr:
Real-Time Highly Accurate Dense Depth on a Power Budget Using an FPGA-CPU Hybrid SoC. IEEE Trans. Circuits Syst. II Express Briefs 66-II(5): 773-777 (2019) - [c120]Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano:
Real-Time Self-Adaptive Deep Stereo. CVPR 2019: 195-204 - [c119]Simone Melzi, Riccardo Spezialetti, Federico Tombari, Michael M. Bronstein, Luigi Di Stefano, Emanuele Rodolà:
GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching. CVPR 2019: 4629-4638 - [c118]Alessio Tonioni, Oscar Rahnama, Thomas Joy, Luigi Di Stefano, Thalaiyasingam Ajanthan, Philip H. S. Torr:
Learning to Adapt for Stereo. CVPR 2019: 9661-9670 - [c117]Riccardo Spezialetti, Samuele Salti, Luigi Di Stefano:
Learning an Effective Equivariant 3D Descriptor Without Supervision. ICCV 2019: 6400-6409 - [c116]Pierluigi Zama Ramirez, Alessio Tonioni, Samuele Salti, Luigi Di Stefano:
Learning Across Tasks and Domains. ICCV 2019: 8109-8118 - [c115]Marlon Marcon, Riccardo Spezialetti, Samuele Salti, Luciano Silva, Luigi Di Stefano:
Boosting Object Recognition in Point Clouds by Saliency Detection. ICIAP Workshops 2019: 321-331 - [c114]Riccardo Spezialetti, Samuele Salti, Luigi Di Stefano:
Performance Evaluation of Learned 3D Features. ICIAP (1) 2019: 519-531 - [i20]Alessio Tonioni, Luigi Di Stefano:
Domain invariant hierarchical embedding for grocery products recognition. CoRR abs/1902.00760 (2019) - [i19]Alessio Tonioni, Oscar Rahnama, Thomas Joy, Luigi Di Stefano, Thalaiyasingam Ajanthan, Philip H. S. Torr:
Learning to Adapt for Stereo. CoRR abs/1904.02957 (2019) - [i18]Pierluigi Zama Ramirez, Alessio Tonioni, Samuele Salti, Luigi Di Stefano:
Learning Across Tasks and Domains. CoRR abs/1904.04744 (2019) - [i17]Oscar Rahnama, Tommaso Cavallari, Stuart Golodetz, Alessio Tonioni, Thomas Joy, Luigi Di Stefano, Simon Walker, Philip H. S. Torr:
Real-Time Highly Accurate Dense Depth on a Power Budget using an FPGA-CPU Hybrid SoC. CoRR abs/1907.07745 (2019) - [i16]Daniele De Gregorio, Alessio Tonioni, Gianluca Palli, Luigi Di Stefano:
Semi-Automatic Labeling for Deep Learning in Robotics. CoRR abs/1908.01862 (2019) - [i15]Alessio Tonioni, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano:
Unsupervised Domain Adaptation for Depth Prediction from Images. CoRR abs/1909.03943 (2019) - [i14]Riccardo Spezialetti, Samuele Salti, Luigi Di Stefano:
Performance Evaluation of Learned 3D Features. CoRR abs/1909.06884 (2019) - [i13]Riccardo Spezialetti, Samuele Salti, Luigi Di Stefano:
Learning an Effective Equivariant 3D Descriptor Without Supervision. CoRR abs/1909.06887 (2019) - [i12]Pierluigi Zama Ramirez, Claudio Paternesi, Daniele De Gregorio, Luigi Di Stefano:
Shooting Labels: 3D Semantic Labeling by Virtual Reality. CoRR abs/1910.05021 (2019) - [i11]Marlon Marcon, Riccardo Spezialetti, Samuele Salti, Luciano Silva, Luigi Di Stefano:
Boosting Object Recognition in Point Clouds by Saliency Detection. CoRR abs/1911.02286 (2019) - 2018
- [j28]Alessio Tonioni, Samuele Salti, Federico Tombari, Riccardo Spezialetti, Luigi Di Stefano:
Learning to Detect Good 3D Keypoints. Int. J. Comput. Vis. 126(1): 1-20 (2018) - [j27]Alioscia Petrelli, Luigi Di Stefano:
Learning-to-rank approach to RGB-D visual search. J. Electronic Imaging 27(05): 051212 (2018) - [c113]Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano:
Geometry Meets Semantics for Semi-supervised Monocular Depth Estimation. ACCV (3) 2018: 298-313 - [c112]Daniele De Gregorio, Gianluca Palli, Luigi Di Stefano:
Let's Take a Walk on Superpixels Graphs: Deformable Linear Objects Segmentation and Model Estimation. ACCV (2) 2018: 662-677 - [c111]Alessio Tonioni, Eugenio Serra, Luigi Di Stefano:
A deep learning pipeline for product recognition on store shelves. IPAS 2018: 25-31 - [c110]Pierluigi Zama Ramirez, Alessio Tonioni, Luigi Di Stefano:
Exploiting semantics in adversarial training for image-level domain adaptation. IPAS 2018: 49-54 - [c109]Luca Ranalli, Luigi Di Stefano, Emanuele Plebani, Mirko Falchetto, Danilo Pau, Viviana D'Alto:
Automated Generation of a Single Shot Detector C Library from High Level Deep Learning Frameworks. RTSI 2018: 1-4 - [i10]Alessio Tonioni, Eugenio Serra, Luigi Di Stefano:
A deep learning pipeline for product recognition on store shelves. CoRR abs/1810.01733 (2018) - [i9]Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano:
Geometry meets semantics for semi-supervised monocular depth estimation. CoRR abs/1810.04093 (2018) - [i8]Daniele De Gregorio, Gianluca Palli, Luigi Di Stefano:
Let's take a Walk on Superpixels Graphs: Deformable Linear Objects Segmentation and Model Estimation. CoRR abs/1810.04461 (2018) - [i7]Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano:
Real-time self-adaptive deep stereo. CoRR abs/1810.05424 (2018) - [i6]Pierluigi Zama Ramirez, Alessio Tonioni, Luigi Di Stefano:
Exploiting Semantics in Adversarial Training for Image-Level Domain Adaptation. CoRR abs/1810.05852 (2018) - [i5]Tommaso Cavallari, Stuart Golodetz, Nicholas A. Lord, Julien P. C. Valentin, Victor Adrian Prisacariu, Luigi Di Stefano, Philip H. S. Torr:
Real-Time RGB-D Camera Pose Estimation in Novel Scenes using a Relocalisation Cascade. CoRR abs/1810.12163 (2018) - 2017
- [c108]Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Alessio Tonioni, Luigi Di Stefano:
Learning confidence measures in the wild. BMVC 2017 - [c107]Tommaso Cavallari, Stuart Golodetz, Nicholas A. Lord, Julien P. C. Valentin, Luigi Di Stefano, Philip H. S. Torr:
On-the-Fly Adaptation of Regression Forests for Online Camera Relocalisation. CVPR 2017: 218-227 - [c106]Alessio Tonioni, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano:
Unsupervised Adaptation for Deep Stereo. ICCV 2017: 1614-1622 - [c105]Daniele De Gregorio, Tommaso Cavallari, Luigi Di Stefano:
SkiMap++: Real-Time Mapping and Object Recognition for Robotics. ICCV Workshops 2017: 660-668 - [c104]Alioscia Petrelli, Luigi Di Stefano:
Learning to Weight Color and Depth for RGB-D Visual Search. ICIAP (1) 2017: 648-659 - [c103]Alessio Tonioni, Luigi Di Stefano:
Product Recognition in Store Shelves as a Sub-Graph Isomorphism Problem. ICIAP (1) 2017: 682-693 - [c102]Daniele De Gregorio, Luigi Di Stefano:
SkiMap: An efficient mapping framework for robot navigation. ICRA 2017: 2569-2576 - [i4]Tommaso Cavallari, Stuart Golodetz, Nicholas A. Lord, Julien P. C. Valentin, Luigi Di Stefano, Philip H. S. Torr:
On-the-Fly Adaptation of Regression Forests for Online Camera Relocalisation. CoRR abs/1702.02779 (2017) - [i3]Daniele De Gregorio, Luigi Di Stefano:
SkiMap: An Efficient Mapping Framework for Robot Navigation. CoRR abs/1704.05832 (2017) - [i2]Alessio Tonioni, Luigi Di Stefano:
Product recognition in store shelves as a sub-graph isomorphism problem. CoRR abs/1707.08378 (2017) - 2016
- [j26]Alioscia Petrelli, Luigi Di Stefano:
Pairwise Registration by Local Orientation Cues. Comput. Graph. Forum 35(6): 59-72 (2016) - [j25]Aitor Aldoma, Federico Tombari, Luigi Di Stefano, Markus Vincze:
A Global Hypothesis Verification Framework for 3D Object Recognition in Clutter. IEEE Trans. Pattern Anal. Mach. Intell. 38(7): 1383-1396 (2016) - [c101]Tommaso Cavallari, Luigi Di Stefano:
On-Line Large Scale Semantic Fusion. ECCV Workshops (3) 2016: 83-99 - [c100]Federico Tombari, Samuele Salti, Luca Puglia, Giancarlo Raiconi, Luigi Di Stefano:
A Radial Search Method for Fast Nearest Neighbor Search on Range Images. ECCV Workshops (3) 2016: 563-577 - [c99]Daniele De Gregorio, Federico Tombari, Luigi Di Stefano:
RobotFusion: Grasping with a Robotic Manipulator via Multi-view Reconstruction. ECCV Workshops (3) 2016: 634-647 - [c98]Tommaso Cavallari, Luigi Di Stefano:
SemanticFusion: Joint Labeling, Tracking and Mapping. ECCV Workshops (3) 2016: 648-664 - [c97]Gianfranco Mariosa, Nicola Fioraio, Alessandro Franchi, Luigi Di Stefano:
Surface Reconstruction from Range Images. STAG 2016: 119-126 - 2015
- [j24]Federico Tombari, Luigi Di Stefano:
The Maximal Self-dissimilarity Interest Point Detector. IPSJ Trans. Comput. Vis. Appl. 7: 175-188 (2015) - [j23]Samuele Salti, Alioscia Petrelli, Federico Tombari, Nicola Fioraio, Luigi Di Stefano:
Traffic sign detection via interest region extraction. Pattern Recognit. 48(4): 1039-1049 (2015) - [j22]Samuele Salti, Alessandro Lanza, Luigi Di Stefano:
Synergistic Change Detection and Tracking. IEEE Trans. Circuits Syst. Video Technol. 25(4): 609-622 (2015) - [c96]Alioscia Petrelli, Danilo Pau, Emanuele Plebani, Luigi Di Stefano:
RGB-D Visual Search with Compact Binary Codes. 3DV 2015: 82-90 - [c95]Nicola Fioraio, Jonathan Taylor, Andrew W. Fitzgibbon, Luigi Di Stefano, Shahram Izadi:
Large-scale and drift-free surface reconstruction using online subvolume registration. CVPR 2015: 4475-4483 - [c94]Samuele Salti, Federico Tombari, Riccardo Spezialetti, Luigi Di Stefano:
Learning a Descriptor-Specific 3D Keypoint Detector. ICCV 2015: 2318-2326 - [c93]Nicholas Brunetto, Samuele Salti, Nicola Fioraio, Tommaso Cavallari, Luigi Di Stefano:
Fusion of Inertial and Visual Measurements for RGB-D SLAM on Mobile Devices. ICCV Workshops 2015: 148-156 - [c92]Alioscia Petrelli, Danilo Pau, Luigi Di Stefano:
Analysis of Compact Features for RGB-D Visual Search. ICIAP (2) 2015: 14-24 - [c91]Federico Tombari, Luigi Di Stefano:
Bounded Non-Local Means for Fast and Effective Image Denoising. ICIAP (2) 2015: 183-193 - [c90]Tommaso Cavallari, Luigi Di Stefano:
Volume-Based Semantic Labeling with Signed Distance Functions. PSIVT 2015: 544-556 - [i1]Tommaso Cavallari, Luigi Di Stefano:
Volume-based Semantic Labeling with Signed Distance Functions. CoRR abs/1511.04242 (2015) - 2014
- [j21]Samuele Salti, Federico Tombari, Luigi Di Stefano:
SHOT: Unique signatures of histograms for surface and texture description. Comput. Vis. Image Underst. 125: 251-264 (2014) - [c89]Nicholas Brunetto, Nicola Fioraio, Luigi Di Stefano:
Interactive RGB-D SLAM on Mobile Devices. ACCV Workshops (3) 2014: 339-351 - [c88]Federico Tombari, Luigi Di Stefano:
Interest Points via Maximal Self-Dissimilarities. ACCV (2) 2014: 586-600 - [c87]Nicola Fioraio, Luigi Di Stefano:
SlamDunk: Affordable Real-Time RGB-D SLAM. ECCV Workshops (1) 2014: 401-414 - [c86]Federico Tombari, Nicola Fioraio, Tommaso Cavallari, Samuele Salti, Alioscia Petrelli, Luigi Di Stefano:
Automatic detection of pole-like structures in 3D urban environments. IROS 2014: 4922-4929 - 2013
- [j20]Michele Magno, Federico Tombari, Davide Brunelli, Luigi Di Stefano, Luca Benini:
Multimodal Video Analysis on Self-Powered Resource-Limited Wireless Smart Camera. IEEE J. Emerg. Sel. Topics Circuits Syst. 3(2): 223-235 (2013) - [j19]Federico Tombari, Samuele Salti, Luigi Di Stefano:
Performance Evaluation of 3D Keypoint Detectors. Int. J. Comput. Vis. 102(1-3): 198-220 (2013) - [j18]Samuele Salti, Luigi Di Stefano:
On-line Support Vector Regression of the transition model for the Kalman filter. Image Vis. Comput. 31(6-7): 487-501 (2013) - [c85]Daniele Palossi, Federico Tombari, Samuele Salti, Martino Ruggiero, Luigi Di Stefano, Luca Benini:
GPU-SHOT: Parallel Optimization for Real-Time 3D Local Description. CVPR Workshops 2013: 584-591 - [c84]Nicola Fioraio, Luigi Di Stefano:
Joint Detection, Tracking and Mapping by Semantic Bundle Adjustment. CVPR 2013: 1538-1545 - [c83]Samuele Salti, Alessandro Lanza, Luigi Di Stefano:
Keypoints from Symmetries by Wave Propagation. CVPR 2013: 2898-2905 - [c82]Federico Tombari, Alessandro Franchi, Luigi Di Stefano:
BOLD Features to Detect Texture-less Objects. ICCV 2013: 1265-1272 - [c81]Nicola Fioraio, Gregorio Cerri, Luigi Di Stefano:
Towards Semantic KinectFusion. ICIAP (2) 2013: 299-308 - [c80]Aitor Aldoma, Federico Tombari, Johann Prankl, Andreas Richtsfeld, Luigi Di Stefano, Markus Vincze:
Multimodal cue integration through Hypotheses Verification for RGB-D object recognition and 6DOF pose estimation. ICRA 2013: 2104-2111 - [c79]Samuele Salti, Alioscia Petrelli, Federico Tombari, Nicola Fioraio, Luigi Di Stefano:
A traffic sign detection pipeline based on interest region extraction. IJCNN 2013: 1-7 - 2012
- [j17]Federico Tombari, Luigi Di Stefano:
Hough Voting for 3D Object Recognition under Occlusion and Clutter. IPSJ Trans. Comput. Vis. Appl. 4: 20-29 (2012) - [j16]Wanli Ouyang, Federico Tombari, Stefano Mattoccia, Luigi Di Stefano, Wai-kuen Cham:
Performance Evaluation of Full Search Equivalent Pattern Matching Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 34(1): 127-143 (2012) - [j15]Samuele Salti, Andrea Cavallaro, Luigi Di Stefano:
Adaptive Appearance Modeling for Video Tracking: Survey and Evaluation. IEEE Trans. Image Process. 21(10): 4334-4348 (2012) - [c78]Filippo Malaguti, Federico Tombari, Samuele Salti, Danilo Pau, Luigi Di Stefano:
Toward Compressed 3D Descriptors. 3DIMPVT 2012: 176-183 - [c77]Alioscia Petrelli, Luigi Di Stefano:
A Repeatable and Efficient Canonical Reference for Surface Matching. 3DIMPVT 2012: 403-410 - [c76]Samuele Salti, Alioscia Petrelli, Federico Tombari, Luigi Di Stefano:
On the Affinity between 3D Detectors and Descriptors. 3DIMPVT 2012: 424-431 - [c75]Aitor Aldoma, Federico Tombari, Luigi Di Stefano, Markus Vincze:
A Global Hypotheses Verification Method for 3D Object Recognition. ECCV (3) 2012: 511-524 - [c74]Filippo Malaguti, Danilo Pau, Luigi Di Stefano:
Low complexity SIFT compression techniques. ICCE-Berlin 2012: 250-253 - 2011
- [j14]Francesca De Crescenzio, Massimiliano Fantini, Franco Persiani, Luigi Di Stefano, Pietro Azzari, Samuele Salti:
Augmented Reality for Aircraft Maintenance Training and Operations Support. IEEE Computer Graphics and Applications 31(1): 96-101 (2011) - [j13]Luigi Di Stefano, Carlo S. Regazzoni, Dan Schonfeld:
Advanced Video-Based Surveillance. EURASIP J. Image Video Process. 2011 (2011) - [j12]Alessandro Lanza, Luigi Di Stefano:
Statistical Change Detection by the Pool Adjacent Violators Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 33(9): 1894-1910 (2011) - [j11]Stefano Mattoccia, Federico Tombari, Luigi Di Stefano:
Efficient template matching for multi-channel images. Pattern Recognit. Lett. 32(5): 694-700 (2011) - [j10]Federico Tombari, Wanli Ouyang, Luigi Di Stefano, Wai-kuen Cham:
Adaptive Low Resolution Pruning for fast Full Search-equivalent pattern matching. Pattern Recognit. Lett. 32(15): 2119-2127 (2011) - [c73]Federico Tombari, Luigi Di Stefano:
3D Data Segmentation by Local Classification and Markov Random Fields. 3DIMPVT 2011: 212-219 - [c72]Samuele Salti, Federico Tombari, Luigi Di Stefano:
A Performance Evaluation of 3D Keypoint Detectors. 3DIMPVT 2011: 236-243 - [c71]Alessandro Lanza, Samuele Salti, Luigi Di Stefano:
Background subtraction by non-parametric probabilistic clustering. AVSS 2011: 243-248 - [c70]Alessandro Lanza, Michele Magno, Davide Brunelli, Luigi Di Stefano, Luca Benini:
Energy-aware objects abandon / removal detection. AVSS 2011: 443-448 - [c69]Alioscia Petrelli, Luigi Di Stefano:
On the repeatability of the local reference frame for partial shape matching. ICCV 2011: 2244-2251 - [c68]Federico Tombari, Samuele Salti, Luigi Di Stefano:
A combined texture-shape descriptor for enhanced 3D feature matching. ICIP 2011: 809-812 - [c67]Federico Tombari, Luigi Di Stefano, Simone Giardino:
Online learning for automatic segmentation of 3D data. IROS 2011: 4857-4864 - [c66]Alessandra Costanzo, Sara Bartolini, Luca Benini, Elisabetta Farella, Diego Masotti, Bojan Milosevic, Luigi Di Stefano, Alessandro Franchi, Tullio Salmon Cinotti, Sandra Mattarozzi, Valerio Nannini:
Merging RFID, visual and gesture recognition technologies to generate and manage smart environments. RFID-TA 2011: 521-526 - [c65]Federico Tombari, Luigi Di Stefano:
Improving Geometric Hashing by Means of Feature Descriptors. VISAPP 2011: 419-425 - 2010
- [c64]Alessandro Lanza, Federico Tombari, Luigi Di Stefano:
Second-Order Polynomial Models for Background Subtraction. ACCV Workshops (1) 2010: 1-11 - [c63]Samuele Salti, Alessandro Lanza, Luigi Di Stefano:
Bayesian Loop for Synergistic Change Detection and Tracking. ACCV Workshops (1) 2010: 43-53 - [c62]Samuele Salti, Federico Tombari, Luigi Di Stefano:
On the Use of Implicit Shape Models for Recognition of Object Categories in 3D Data. ACCV (3) 2010: 653-666 - [c61]Alessandro Lanza, Federico Tombari, Luigi Di Stefano:
Accurate and Efficient Background Subtraction by Monotonic Second-Degree Polynomial Fitting. AVSS 2010: 376-383 - [c60]Federico Tombari, Samuele Salti, Luigi Di Stefano:
Unique Signatures of Histograms for Local Surface Description. ECCV (3) 2010: 356-369 - [c59]Federico Tombari, Stefano Mattoccia, Luigi Di Stefano:
Stereo for robots: Quantitative evaluation of efficient and low-memory dense stereo algorithms. ICARCV 2010: 1231-1238 - [c58]Federico Tombari, Luigi Di Stefano, Stefano Mattoccia, Andrea Mainetti:
A 3D reconstruction system based on improved spacetime stereo. ICARCV 2010: 1886-1893 - [c57]Alessandro Lanza, Federico Tombari, Luigi Di Stefano:
Robust and efficient background subtraction by quadratic polynomial fitting. ICIP 2010: 1537-1540 - [c56]Alessandro Franchi, Luigi Di Stefano, Tullio Salmon Cinotti:
Mobile Visual Search using Smart-M3. ISCC 2010: 1065-1070 - [c55]Federico Tombari, Samuele Salti, Luigi Di Stefano:
Unique shape context for 3d data description. 3DOR@MM 2010: 57-62 - [c54]Michele Magno, Alessandro Lanza, Davide Brunelli, Luigi Di Stefano, Luca Benini:
Energy aware multimodal embedded video surveillance. VLSI-SoC 2010: 264-269
2000 – 2009
- 2009
- [j9]Federico Tombari, Stefano Mattoccia, Luigi Di Stefano:
Full-Search-Equivalent Pattern Matching with Incremental Dissimilarity Approximations. IEEE Trans. Pattern Anal. Mach. Intell. 31(1): 129-141 (2009) - [c53]Federico Tombari, Stefano Mattoccia, Luigi Di Stefano, Fabio Regoli, Riccardo Viti:
A Template Analysis Methodology to Improve the Efficiency of Fast Matching Algorithms. ACIVS 2009: 100-108 - [c52]Stefano Mattoccia, Federico Tombari, Luigi Di Stefano:
Enhanced Low-Resolution Pruning for Fast Full-Search Template Matching. ACIVS 2009: 109-120 - [c51]Michele Magno, Federico Tombari, Davide Brunelli, Luigi Di Stefano, Luca Benini:
Multimodal Abandoned/Removed Object Detection for Low Power Video Surveillance Systems. AVSS 2009: 188-193 - [c50]Alessandro Lanza, Luigi Di Stefano, Luca Soffritti:
Bayesian Order-Consistency Testing with Class Priors Derivation for Robust Change Detection. AVSS 2009: 460-465 - [c49]Samuele Salti, Luigi Di Stefano:
On-line learning of the transition model for Recursive Bayesian Estimation. ICCV Workshops 2009: 428-435 - [c48]Alessandro Lanza, Luigi Di Stefano:
On-line learning of background appearance changes for robust background subtraction. ICDP 2009: 1-6 - [c47]Samuele Salti, Luigi Di Stefano:
SVR-Based Jitter Reduction for Markerless Augmented Reality. ICIAP 2009: 24-33 - [c46]Pietro Azzari, Luigi Di Stefano:
Vision-Based Markerless Gaming Interface. ICIAP 2009: 288-296 - 2008
- [j8]Stefano Mattoccia, Federico Tombari, Luigi Di Stefano:
Fast Full-Search Equivalent Template Matching by Enhanced Bounded Correlation. IEEE Trans. Image Process. 17(4): 528-538 (2008) - [c45]Pietro Azzari, Luigi Di Stefano, Stefano Mattoccia:
An Evaluation Methodology for Image Mosaicing Algorithms. ACIVS 2008: 89-100 - [c44]Federico Tombari, Luigi Di Stefano, Stefano Mattoccia, Andrea Zanetti:
Graffiti Detection Using a Time-Of-Flight Camera. ACIVS 2008: 645-654 - [c43]Luigi Di Stefano, Federico Tombari, Stefano Mattoccia, Matteo Balasso:
Multi-view Access Monitoring and Singularization in Interlocks. AVSS 2008: 143-150 - [c42]Federico Tombari, Stefano Mattoccia, Luigi Di Stefano, Elisa Addimanda:
Classification and evaluation of cost aggregation methods for stereo correspondence. CVPR 2008 - [c41]Stefano Mattoccia, Federico Tombari, Luigi Di Stefano:
Reliable rejection of mismatching candidates for efficient ZNCC template matching. ICIP 2008: 849-852 - [c40]Pietro Azzari, Luigi Di Stefano, Federico Tombari, Stefano Mattoccia:
Markerless Augmented Reality Using Image Mosaics. ICISP 2008: 413-420 - [c39]Federico Tombari, Stefano Mattoccia, Luigi Di Stefano, Elisa Addimanda:
Near real-time stereo based on effective cost aggregation. ICPR 2008: 1-4 - [c38]Samuele Salti, Oliver Schreer, Luigi Di Stefano:
Real-time 3d arm pose estimation from monocular video for enhanced HCI. VNBA 2008: 1-8 - [c37]Federico Tombari, Luigi Di Stefano, Stefano Mattoccia, Angelo Galanti:
Performance Evaluation of Robust Matching Measures. VISAPP (1) 2008: 473-478 - 2007
- [c36]Stefano Mattoccia, Federico Tombari, Luigi Di Stefano:
Stereo Vision Enabling Precise Border Localization Within a Scanline Optimization Framework. ACCV (2) 2007: 517-527 - [c35]Alessandro Lanza, Luigi Di Stefano, Jérôme Berclaz, François Fleuret, Pascal Fua:
Robust Multi-View Change Detection. BMVC 2007: 1-10 - [c34]Federico Tombari, Luigi Di Stefano, Stefano Mattoccia:
A robust measure for visual correspondence. ICIAP 2007: 376-381 - [c33]Stefano Mattoccia, Federico Tombari, Luigi Di Stefano, Marco Pignoloni:
Efficient and optimal block matching for motion estimation. ICIAP 2007: 705-710 - [c32]Federico Tombari, Stefano Mattoccia, Luigi Di Stefano:
Segmentation-Based Adaptive Support for Accurate Stereo Correspondence. PSIVT 2007: 427-438 - 2006
- [c31]Alessandro Lanza, Luigi Di Stefano:
Detecting Changes in Grey Level Sequences by ML Isotonic Regression. AVSS 2006: 4 - [c30]Federico Tombari, Stefano Mattoccia, Luigi Di Stefano:
Template Matching Based on the L_p Norm Using Sufficient Conditions with Incremental Approximations. AVSS 2006: 20 - [c29]Alessandro Bevilacqua, Luigi Di Stefano, Pietro Azzari:
People Tracking Using a Time-of-Flight Depth Sensor. AVSS 2006: 89 - [c28]Tullio Salmon Cinotti, Luigi Di Stefano, Giuseppe Raffa, Luca Roffia, Marina Pettinari, Martino Mola:
Dead reckoning supports stereo vision in pedestrians tracking. PerCom Workshops 2006: 628-631 - 2005
- [j7]Luigi Di Stefano, Stefano Mattoccia, Federico Tombari:
ZNCC-based template matching using bounded partial correlation. Pattern Recognit. Lett. 26(14): 2129-2134 (2005) - [c27]Alessandro Bevilacqua, Luigi Di Stefano, Stefano Vaccari:
Using local and global object's information to track vehicles in urban scenes. AVSS 2005: 52-57 - [c26]Alessandro Bevilacqua, Luigi Di Stefano, Alessandro Lanza:
Coarse-to-fine strategy for robust and efficient change detectors. AVSS 2005: 87-92 - [c25]Alessandro Bevilacqua, Luigi Di Stefano, Alessandro Lanza:
An effective multi-stage background generation algorithm. AVSS 2005: 388-393 - [c24]Pietro Azzari, Luigi Di Stefano, Alessandro Bevilacqua:
An effective real-time mosaicing algorithm apt to detect motion through background subtraction using a PTZ camera. AVSS 2005: 511-516 - [c23]Luigi Di Stefano, Stefano Mattoccia, Federico Tombari:
Speeding-up NCC-Based Template Matching Using Parallel Multimedia Instructions. CAMP 2005: 193-197 - [c22]Alessandro Bevilacqua, Luigi Di Stefano, Alessandro Lanza, Gianpaolo Capelli:
A novel approach to change detection based on a coarse-to-fine strategy. ICIP (2) 2005: 434-437 - [c21]Alessandro Bevilacqua, Luigi Di Stefano, Stefano Vaccari:
Occlusion Robust Vehicle Tracking based on SOM (Self-Organizing Map). WACV/MOTION 2005: 84-89 - [c20]Alessandro Bevilacqua, Luigi Di Stefano, Alessandro Lanza:
A Simple Self-Calibration Method To Infer A Non-Parametric Model Of The Imaging System Noise. WACV/MOTION 2005: 229-234 - 2004
- [j6]Luigi Di Stefano, Massimiliano Marchionni, Stefano Mattoccia:
A fast area-based stereo matching algorithm. Image Vis. Comput. 22(12): 983-1005 (2004) - [c19]Luigi Di Stefano, Stefano Mattoccia, Federico Tombari:
An Algorithm for Efficient and Exhaustive Template Matching. ICIAR (1) 2004: 408-415 - [c18]Luigi Di Stefano, Stefano Mattoccia, Martino Mola:
A Change-Detection Algorithm Enabling Intelligent Background Maintenance. ICIAR (2) 2004: 437-445 - [c17]Alessandro Bevilacqua, Luigi Di Stefano, Alessandro Lanza:
High Quality-Speed Dilemma: A Comparison Between Segmentation Methods for Traffic Monitoring Applications. ICIAR (2) 2004: 481-488 - [c16]Alessandro Bevilacqua, Luigi Di Stefano, Alessandro Lanza:
An efficient change detection algorithm based on a statistical non-parametric camera noise model. ICIP 2004: 2347-2350 - 2003
- [j5]Luigi Di Stefano, Stefano Mattoccia:
Fast template matching using bounded partial correlation. Mach. Vis. Appl. 13(4): 213-221 (2003) - [c15]Luigi Di Stefano, Stefano Mattoccia, Martino Mola:
A Change-Detection Algorithm Based on Structure and Colour. AVSS 2003: 252- - [c14]Luigi Di Stefano, Stefano Mattoccia, Martino Mola:
An efficient algorithm for exhaustive template matching based on normalized cross correlation. ICIAP 2003: 322-327 - [c13]Luigi Di Stefano, Stefano Mattoccia:
A sufficient condition based on the Cauchy-Schwarz inequality for efficient template matching. ICIP (1) 2003: 269-272 - 2002
- [j4]Luigi Di Stefano, Stefano Mattoccia:
Real-Time Stereo within the VIDET Project. Real Time Imaging 8(5): 439-453 (2002) - [c12]Luigi Di Stefano, Massimiliano Marchionni, Stefano Mattoccia, Giovanni Neri:
Quantitative evaluation of area-based stereo matching. ICARCV 2002: 1110-1114 - [c11]Luigi Di Stefano, Massimiliano Marchionni, Stefano Mattoccia, Giovanni Neri:
Dense Stereo Based on the Uniqueness Constraint. ICPR (3) 2002: 657-661 - 2001
- [c10]Luigi Di Stefano, Stefano Mattoccia, Giovanni Neri, D. Piccinini:
Temporal Filtering of Disparity Measurements. ICIAP 2001: 145-150 - [c9]Luigi Di Stefano, Giovanni Neri, Enrico Viarani:
Analysis of Pixel-Level Algorithms for Video Surveillance Applications. ICIAP 2001: 541-546 - 2000
- [c8]Luigi Di Stefano, Stefano Mattoccia:
Fast Stereo Matching for the VIDET System using a General Purpose Processor with Multimedia Extensions. CAMP 2000: 356- - [c7]Paolo Arcara, Luigi Di Stefano, Stefano Mattoccia, Claudio Melchiorri, Gabriele Vassura:
Perception of Depth Information by Means of a Wire-Actuated Haptic Interface. ICRA 2000: 3443-3448
1990 – 1999
- 1999
- [c6]Luigi Di Stefano, Enrico Viarani:
Vehicle Detection in Traffic Images. ICEIS 1999: 308-313 - [c5]Luigi Di Stefano, Andrea Bulgarelli:
A Simple and Efficient Connected Components Labeling Algorithm. ICIAP 1999: 322-327 - [c4]Luigi Di Stefano, L. Giusti, E. Zanni:
Inspection of Ceramic Tiles Using Machine Vision. IIA/SOCO 1999 - 1997
- [j3]Luigi Di Stefano, Frank Boland:
A new phase extraction algorithm for phase profilometry. Mach. Vis. Appl. 10(4): 188-200 (1997) - [j2]Rita Cucchiara, Luigi Di Stefano, Massimo Piccardi, Tullio Salmon Cinotti:
The GIOTTO System: a Parallel Computer for Image Processing. Real Time Imaging 3(5): 343-353 (1997) - [c3]Luigi Di Stefano, Frank Boland:
A New Algorithm for 3D Profilometry Based on Phase Measurement. ICIAP (1) 1997: 377-384 - 1996
- [c2]Luigi Di Stefano, Frank Boland:
Three-dimensional inspection of printed circuit boards using phase profilometry. EUSIPCO 1996: 1-4 - 1995
- [j1]Rita Cucchiara, Luigi Di Stefano, Massimo Piccardi:
Detection of Circular Objects by Wave Propagation on a Mesh-Connected Computer. J. Parallel Distributed Comput. 31(1): 77-87 (1995) - 1993
- [c1]Massimo Piccardi, Luigi Di Stefano, Rita Cucchiara, Tullio Salmon Cinotti:
Processing of variable size images on a cellular array: Performance analysis with the Abingdon Cross Benchmark. ASAP 1993: 172-175
Coauthor Index
[j45] [j44] [c145] [c141] [c139] [i46] [i41] [j39] [c134] [c133] [c132] [i36] [i34] [i33] [j37] [j36] [c128] [i27] [j34] [c124] [i25] [i24] [c120] [i15] [c113] [i9] [i7] [c108] [c106] [j16] [j11] [c59] [c58] [j9] [c53] [c52] [j8] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c37] [c36] [c34] [c33] [c32] [c30] [j7] [c23] [j6] [c19] [c18] [j5] [c15] [c14] [c13] [j4] [c12] [c11] [c10] [c8] [c7]
[j45] [j44] [j43] [c147] [c146] [c145] [c144] [c143] [i50] [i49] [i48] [i47] [j42] [j41] [c142] [c141] [c139] [c137] [c135] [i46] [i45] [i44] [i43] [i41] [i39] [i38] [i37] [c134] [c133] [c132] [c130] [c129] [i36] [i34] [i33] [i32] [j37] [c128] [c127] [i30] [i29] [i28] [i27] [c125] [c124] [i25] [c116] [i18] [i12] [c113] [c110] [i9] [i6]
[j46] [j45] [j44] [j43] [c147] [c146] [c145] [c143] [i50] [i49] [i48] [j42] [j41] [c142] [c141] [c140] [c138] [c137] [c135] [i46] [i45] [i44] [i43] [i42] [i40] [i39] [i37] [j38] [c134] [c133] [c132] [c131] [c130] [c129] [i36] [i35] [i34] [i33] [i32] [j35] [c128] [c127] [c126] [i30] [i29] [i28] [i27] [c124] [c121] [i25] [i23] [c117] [c116] [c115] [c114] [i18] [i14] [i13] [i11] [j28] [c100] [j23] [j22] [c94] [c93] [j21] [c86] [j19] [j18] [c85] [c83] [c79] [j15] [c78] [c76] [j14] [c72] [c71] [c68] [c63] [c62] [c60] [c55] [c49] [c47] [c38]
[j32] [i26] [c119] [j28] [j25] [c100] [c99] [j24] [j23] [c94] [c91] [j21] [c88] [c86] [j20] [j19] [c85] [c82] [c80] [c79] [j17] [j16] [c78] [c76] [c75] [j11] [j10] [c73] [c72] [c68] [c67] [c65] [c64] [c62] [c61] [c60] [c59] [c58] [c57] [c55] [j9] [c53] [c52] [c51] [j8] [c44] [c43] [c42] [c41] [c40] [c39] [c37] [c36] [c34] [c33] [c32] [c30] [j7] [c23] [c19]
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-26 01:54 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
