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2020 – today
- 2024
[j20]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)- [j19]Musawar Ali, Nicola Fioraio, Samuele Salti, Luigi Di Stefano:
AnomalyControl: Few-Shot Anomaly Generation by ControlNet Inpainting. IEEE Access 12: 192903-192914 (2024) - [j18]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) - [j17]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) - [j16]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) - [j15]Marco Boschi, Luca De Luigi, Samuele Salti, Francesco Sambo, Douglas Coimbra de Andrade, Leonardo Taccari, Alex Quintero Garcia:
Dynamic Bird's Eye View Reconstruction of Driving Accidents. IEEE Trans. Intell. Transp. Syst. 25(8): 8671-8680 (2024) - [c51]Francesco Ballerini, Pierluigi Zama Ramirez, Roberto Mirabella, Samuele Salti, Luigi Di Stefano:
Connecting NeRFs, Images, and Text. CVPR Workshops 2024: 866-876 - [c50]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 - [c49]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 - [c48]Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini, Allan Zhou, Samuele Salti, Luigi Di Stefano:
Neural Processing of Tri-Plane Hybrid Neural Fields. ICLR 2024 - [i28]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) - [i27]Francesco Ballerini, Pierluigi Zama Ramirez, Roberto Mirabella, Samuele Salti, Luigi Di Stefano:
Connecting NeRFs, Images, and Text. CoRR abs/2404.07993 (2024) - [i26]Andrea Amaduzzi, Pierluigi Zama Ramirez, Giuseppe Lisanti, Samuele Salti, Luigi Di Stefano:
LLaNA: Large Language and NeRF Assistant. CoRR abs/2406.11840 (2024) - 2023
- [j14]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) - [j13]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) - [j12]Simone Magistri, Marco Boschi, Francesco Sambo, Douglas Coimbra de Andrade, Matteo Simoncini, Luca Kubin, Leonardo Taccari, Luca De Luigi, Samuele Salti:
Lightweight and Effective Convolutional Neural Networks for Vehicle Viewpoint Estimation From Monocular Images. IEEE Trans. Intell. Transp. Syst. 24(1): 191-200 (2023) - [c47]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 - [c46]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 - [c45]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 - [c44]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 - [c43]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 - [c42]Giovanni Minelli, Matteo Poggi, Samuele Salti:
Depth Self-Supervision for Single Image Novel View Synthesis. IROS 2023: 5836-5843 - [c41]Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano:
Self-Distillation for Unsupervised 3D Domain Adaptation. WACV 2023: 4155-4166 - [i25]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) - [i24]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) - [i23]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) - [i22]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) - [i21]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) - [i20]Giovanni Minelli, Matteo Poggi, Samuele Salti:
Depth self-supervision for single image novel view synthesis. CoRR abs/2308.14108 (2023) - [i19]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) - [i18]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) - [i17]Francesca Boccardi, Axel Saalbach, Heinrich Schulz, Samuele Salti, Ilyas Sirazitdinov:
Bottom-Up Instance Segmentation of Catheters for Chest X-Rays. CoRR abs/2312.03368 (2023) - [i16]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
- [j11]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) - [j10]Matteo Simoncini, Douglas Coimbra de Andrade, Leonardo Taccari, Samuele Salti, Luca Kubin, Fabio Schoen, Francesco Sambo:
Unsafe Maneuver Classification From Dashcam Video and GPS/IMU Sensors Using Spatio-Temporal Attention Selector. IEEE Trans. Intell. Transp. Syst. 23(9): 15605-15615 (2022) - [c40]Matteo Poggi, Pierluigi Zama Ramirez, Fabio Tosi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Cross-Spectral Neural Radiance Fields. 3DV 2022: 606-616 - [c39]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 - [c38]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 - [c37]Gianluca Berardi, Luca De Luigi, Samuele Salti, Luigi Di Stefano:
Learning the Space of Deep Models. ICPR 2022: 2482-2488 - [c36]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 - [c35]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 - [i15]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) - [i14]Gianluca Berardi, Luca De Luigi, Samuele Salti, Luigi Di Stefano:
Learning the Space of Deep Models. CoRR abs/2206.05194 (2022) - [i13]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) - [i12]Matteo Poggi, Pierluigi Zama Ramirez, Fabio Tosi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Cross-Spectral Neural Radiance Fields. CoRR abs/2209.00648 (2022) - [i11]Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano:
Self-Distillation for Unsupervised 3D Domain Adaptation. CoRR abs/2210.08226 (2022) - 2021
- [j9]Samuele Salti, Alessandro Lanza, Luigi Di Stefano:
Keypoint detection by wave propagation. J. Electronic Imaging 30(1): 013003 (2021) - [c34]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 - [c33]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 - [c32]Gianluca Berardi, Samuele Salti, Luigi Di Stefano:
SketchyDepth: from Scene Sketches to RGB-D Images. ICCVW 2021: 2414-2423 - [i10]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) - [i9]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) - [i8]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) - [i7]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
- [c31]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 - [c30]Matteo Simoncini, Douglas Coimbra de Andrade, Samuele Salti, Leonardo Taccari, Fabio Schoen, Francesco Sambo:
Two-stream neural architecture for unsafe maneuvers classification from dashcam videos and GPS/IMU sensors. ITSC 2020: 1-6 - [c29]Riccardo Spezialetti, Federico Stella, Marlon Marcon, Luciano Silva, Samuele Salti, Luigi Di Stefano:
Learning to Orient Surfaces by Self-supervised Spherical CNNs. NeurIPS 2020 - [i6]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) - [i5]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)
2010 – 2019
- 2019
- [c28]Riccardo Spezialetti, Samuele Salti, Luigi Di Stefano:
Learning an Effective Equivariant 3D Descriptor Without Supervision. ICCV 2019: 6400-6409 - [c27]Pierluigi Zama Ramirez, Alessio Tonioni, Samuele Salti, Luigi Di Stefano:
Learning Across Tasks and Domains. ICCV 2019: 8109-8118 - [c26]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 - [c25]Riccardo Spezialetti, Samuele Salti, Luigi Di Stefano:
Performance Evaluation of Learned 3D Features. ICIAP (1) 2019: 519-531 - [c24]Luca Bravi, Matteo Simoncini, Leonardo Taccari, Leonardo Sarti, Stefano Caprasecca, Andrea Benericetti, Alessandro Lori, Samuele Salti, Francesco Sambo:
Fault detection in non-reporting Vehicle Tracking Units. ITSC 2019: 2791-2796 - [i4]Pierluigi Zama Ramirez, Alessio Tonioni, Samuele Salti, Luigi Di Stefano:
Learning Across Tasks and Domains. CoRR abs/1904.04744 (2019) - [i3]Riccardo Spezialetti, Samuele Salti, Luigi Di Stefano:
Performance Evaluation of Learned 3D Features. CoRR abs/1909.06884 (2019) - [i2]Riccardo Spezialetti, Samuele Salti, Luigi Di Stefano:
Learning an Effective Equivariant 3D Descriptor Without Supervision. CoRR abs/1909.06887 (2019) - [i1]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
- [j8]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) - [c23]Leonardo Taccari, Francesco Sambo, Luca Bravi, Samuele Salti, Leonardo Sarti, Matteo Simoncini, Alessandro Lori:
Classification of Crash and Near-Crash Events from Dashcam Videos and Telematics. ITSC 2018: 2460-2465 - 2017
- [c22]Leonardo Sarti, Luca Bravi, Francesco Sambo, Leonardo Taccari, Matteo Simoncini, Samuele Salti, Alessandro Lori:
Stop Purpose Classification from GPS Data of Commercial Vehicle Fleets. ICDM Workshops 2017: 280-287 - [c21]Francesco Sambo, Samuele Salti, Luca Bravi, Matteo Simoncini, Leonardo Taccari, Alessandro Lori:
Integration of GPS and satellite images for detection and classification of fleet hotspots. ITSC 2017: 1-6 - 2016
- [c20]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 - [c19]Matteo Simoncini, Francesco Sambo, Leonardo Taccari, Luca Bravi, Samuele Salti, Alessandro Lori:
Vehicle Classification from Low Frequency GPS Data. ICDM Workshops 2016: 1159-1166 - 2015
- [j7]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) - [j6]Samuele Salti, Alessandro Lanza, Luigi Di Stefano:
Synergistic Change Detection and Tracking. IEEE Trans. Circuits Syst. Video Technol. 25(4): 609-622 (2015) - [c18]Samuele Salti, Federico Tombari, Riccardo Spezialetti, Luigi Di Stefano:
Learning a Descriptor-Specific 3D Keypoint Detector. ICCV 2015: 2318-2326 - [c17]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 - 2014
- [j5]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) - [c16]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
- [j4]Federico Tombari, Samuele Salti, Luigi Di Stefano:
Performance Evaluation of 3D Keypoint Detectors. Int. J. Comput. Vis. 102(1-3): 198-220 (2013) - [j3]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) - [c15]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 - [c14]Samuele Salti, Alessandro Lanza, Luigi Di Stefano:
Keypoints from Symmetries by Wave Propagation. CVPR 2013: 2898-2905 - [c13]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
- [j2]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) - [c12]Filippo Malaguti, Federico Tombari, Samuele Salti, Danilo Pau, Luigi Di Stefano:
Toward Compressed 3D Descriptors. 3DIMPVT 2012: 176-183 - [c11]Samuele Salti, Alioscia Petrelli, Federico Tombari, Luigi Di Stefano:
On the Affinity between 3D Detectors and Descriptors. 3DIMPVT 2012: 424-431 - 2011
- [b1]Samuele Salti:
On-line adaptive visual tracking. University of Bologna, Italy, 2011 - [j1]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) - [c10]Samuele Salti, Federico Tombari, Luigi Di Stefano:
A Performance Evaluation of 3D Keypoint Detectors. 3DIMPVT 2011: 236-243 - [c9]Alessandro Lanza, Samuele Salti, Luigi Di Stefano:
Background subtraction by non-parametric probabilistic clustering. AVSS 2011: 243-248 - [c8]Federico Tombari, Samuele Salti, Luigi Di Stefano:
A combined texture-shape descriptor for enhanced 3D feature matching. ICIP 2011: 809-812 - 2010
- [c7]Samuele Salti, Alessandro Lanza, Luigi Di Stefano:
Bayesian Loop for Synergistic Change Detection and Tracking. ACCV Workshops (1) 2010: 43-53 - [c6]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 - [c5]Federico Tombari, Samuele Salti, Luigi Di Stefano:
Unique Signatures of Histograms for Local Surface Description. ECCV (3) 2010: 356-369 - [c4]Federico Tombari, Samuele Salti, Luigi Di Stefano:
Unique shape context for 3d data description. 3DOR@MM 2010: 57-62
2000 – 2009
- 2009
- [c3]Samuele Salti, Luigi Di Stefano:
On-line learning of the transition model for Recursive Bayesian Estimation. ICCV Workshops 2009: 428-435 - [c2]Samuele Salti, Luigi Di Stefano:
SVR-Based Jitter Reduction for Markerless Augmented Reality. ICIAP 2009: 24-33 - 2008
- [c1]Samuele Salti, Oliver Schreer, Luigi Di Stefano:
Real-time 3d arm pose estimation from monocular video for enhanced HCI. VNBA 2008: 1-8
Coauthor Index
[j20] [j19] [j18] [j17] [j16] [c51] [c50] [c49] [c48] [i28] [i27] [i26] [j14] [j13] [c47] [c46] [c45] [c44] [c43] [c41] [i25] [i24] [i23] [i22] [i21] [i19] [i18] [i16] [j11] [c40] [c39] [c38] [c37] [c36] [c35] [i15] [i14] [i13] [i12] [i11] [j9] [c34] [c33] [c32] [i10] [i9] [i8] [i7] [c31] [c29] [i6] [i5] [c28] [c27] [c26] [c25] [i4] [i3] [i2] [i1] [j8] [c20] [j7] [j6] [c18] [c17] [j5] [c16] [j4] [j3] [c15] [c14] [c13] [j2] [c12] [c11] [j1] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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