Real-time 3d arm pose estimation from monocular video for enhanced HCI. - Samuele Salti; Oliver Schreer; Luigi Di Stefano (VNBA, 2008)

On-line learning of the transition model for Recursive Bayesian Estimation. - Samuele Salti; Luigi Di Stefano (ICCV Workshops, 2009)

SVR-Based Jitter Reduction for Markerless Augmented Reality. - Samuele Salti; Luigi Di Stefano (ICIAP, 2009)

Bayesian Loop for Synergistic Change Detection and Tracking. - Samuele Salti; Alessandro Lanza; Luigi Di Stefano (ACCV Workshops (1), 2010)

On the Use of Implicit Shape Models for Recognition of Object Categories in 3D Data. - Samuele Salti; Federico Tombari; Luigi Di Stefano (ACCV (3), 2010)

Unique Signatures of Histograms for Local Surface Description. - Federico Tombari; Samuele Salti; Luigi Di Stefano (ECCV (3), 2010)

Unique shape context for 3d data description. - Federico Tombari; Samuele Salti; Luigi Di Stefano (3DOR@MM, 2010)

Background subtraction by non-parametric probabilistic clustering. - Alessandro Lanza; Samuele Salti; Luigi Di Stefano (AVSS, 2011)

A combined texture-shape descriptor for enhanced 3D feature matching. - Federico Tombari; Samuele Salti; Luigi Di Stefano (ICIP, 2011)

Augmented Reality for Aircraft Maintenance Training and Operations Support. - Francesca De Crescenzio; Massimiliano Fantini; Franco Persiani; Luigi Di Stefano; Pietro Azzari; Samuele Salti (IEEE Computer Graphics and Applications, 2011)

On-line adaptive visual tracking. - Samuele Salti (2011)

Toward Compressed 3D Descriptors. - Filippo Malaguti; Federico Tombari; Samuele Salti; Danilo Pau; Luigi Di Stefano (3DIMPVT, 2012)

On the Affinity between 3D Detectors and Descriptors. - Samuele Salti; Alioscia Petrelli; Federico Tombari; Luigi Di Stefano (3DIMPVT, 2012)

Adaptive Appearance Modeling for Video Tracking: Survey and Evaluation. - Samuele Salti; Andrea Cavallaro; Luigi Di Stefano (IEEE Trans. Image Process., 2012)

GPU-SHOT: Parallel Optimization for Real-Time 3D Local Description. - Daniele Palossi; Federico Tombari; Samuele Salti; Martino Ruggiero; Luigi Di Stefano; Luca Benini (CVPR Workshops, 2013)

Keypoints from Symmetries by Wave Propagation. - Samuele Salti; Alessandro Lanza; Luigi Di Stefano (CVPR, 2013)

A traffic sign detection pipeline based on interest region extraction. - Samuele Salti; Alioscia Petrelli; Federico Tombari; Nicola Fioraio; Luigi Di Stefano (IJCNN, 2013)

Performance Evaluation of 3D Keypoint Detectors. - Federico Tombari; Samuele Salti; Luigi Di Stefano (Int. J. Comput. Vis., 2013)

On-line Support Vector Regression of the transition model for the Kalman filter. - Samuele Salti; Luigi Di Stefano (Image Vis. Comput., 2013)

Automatic detection of pole-like structures in 3D urban environments. - Federico Tombari; Nicola Fioraio; Tommaso Cavallari; Samuele Salti; Alioscia Petrelli; Luigi Di Stefano (IROS, 2014)

SHOT: Unique signatures of histograms for surface and texture description. - Samuele Salti; Federico Tombari; Luigi Di Stefano (Comput. Vis. Image Underst., 2014)

Learning a Descriptor-Specific 3D Keypoint Detector. - Samuele Salti; Federico Tombari; Riccardo Spezialetti; Luigi Di Stefano (ICCV, 2015)

Fusion of Inertial and Visual Measurements for RGB-D SLAM on Mobile Devices. - Nicholas Brunetto; Samuele Salti; Nicola Fioraio; Tommaso Cavallari; Luigi Di Stefano (ICCV Workshops, 2015)

Traffic sign detection via interest region extraction. - Samuele Salti; Alioscia Petrelli; Federico Tombari; Nicola Fioraio; Luigi Di Stefano (Pattern Recognit., 2015)

Synergistic Change Detection and Tracking. - Samuele Salti; Alessandro Lanza; Luigi Di Stefano (IEEE Trans. Circuits Syst. Video Technol., 2015)

A Radial Search Method for Fast Nearest Neighbor Search on Range Images. - Federico Tombari; Samuele Salti; Luca Puglia; Giancarlo Raiconi; Luigi Di Stefano (ECCV Workshops (3), 2016)

Vehicle Classification from Low Frequency GPS Data. - Matteo Simoncini; Francesco Sambo; Leonardo Taccari; Luca Bravi; Samuele Salti; Alessandro Lori (ICDM Workshops, 2016)

Stop Purpose Classification from GPS Data of Commercial Vehicle Fleets. - Leonardo Sarti; Luca Bravi; Francesco Sambo; Leonardo Taccari; Matteo Simoncini; Samuele Salti; Alessandro Lori (ICDM Workshops, 2017)

Integration of GPS and satellite images for detection and classification of fleet hotspots. - Francesco Sambo; Samuele Salti; Luca Bravi; Matteo Simoncini; Leonardo Taccari; Alessandro Lori (ITSC, 2017)

Classification of Crash and Near-Crash Events from Dashcam Videos and Telematics. - Leonardo Taccari; Francesco Sambo; Luca Bravi; Samuele Salti; Leonardo Sarti; Matteo Simoncini; Alessandro Lori (ITSC, 2018)

Learning to Detect Good 3D Keypoints. - Alessio Tonioni; Samuele Salti; Federico Tombari; Riccardo Spezialetti; Luigi Di Stefano (Int. J. Comput. Vis., 2018)

Learning Across Tasks and Domains. - Pierluigi Zama Ramirez; Alessio Tonioni; Samuele Salti; Luigi Di Stefano (ICCV, 2019)

Learning an Effective Equivariant 3D Descriptor Without Supervision. - Riccardo Spezialetti; Samuele Salti; Luigi Di Stefano (ICCV, 2019)

Boosting Object Recognition in Point Clouds by Saliency Detection. - Marlon Marcon; Riccardo Spezialetti; Samuele Salti; Luciano Silva; Luigi Di Stefano (ICIAP Workshops, 2019)

Performance Evaluation of Learned 3D Features. - Riccardo Spezialetti; Samuele Salti; Luigi Di Stefano (ICIAP (1), 2019)

Fault detection in non-reporting Vehicle Tracking Units. - Luca Bravi; Matteo Simoncini; Leonardo Taccari; Leonardo Sarti; Stefano Caprasecca; Andrea Benericetti; Alessandro Lori; Samuele Salti; Francesco Sambo (ITSC, 2019)

Distilled Semantics for Comprehensive Scene Understanding from Videos. - Fabio Tosi; Filippo Aleotti; Pierluigi Zama Ramirez; Matteo Poggi; Samuele Salti; Luigi Di Stefano; Stefano Mattoccia (CVPR, 2020)

Two-stream neural architecture for unsafe maneuvers classification from dashcam videos and GPS/IMU sensors. - Matteo Simoncini; Douglas Coimbra de Andrade; Samuele Salti; Leonardo Taccari; Fabio Schoen; Francesco Sambo (ITSC, 2020)

Learning to Orient Surfaces by Self-supervised Spherical CNNs. - Riccardo Spezialetti; Federico Stella; Marlon Marcon; Luciano Silva; Samuele Salti; Luigi Di Stefano (NeurIPS, 2020)

Neural Disparity Refinement for Arbitrary Resolution Stereo. - Filippo Aleotti; Fabio Tosi; Pierluigi Zama Ramirez; Matteo Poggi; Samuele Salti; Stefano Mattoccia; Luigi Di Stefano (3DV, 2021)

RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation. - Adriano Cardace; Riccardo Spezialetti; Pierluigi Zama Ramirez; Samuele Salti; Luigi Di Stefano (3DV, 2021)

SketchyDepth: from Scene Sketches to RGB-D Images. - Gianluca Berardi; Samuele Salti; Luigi Di Stefano (ICCVW, 2021)

Keypoint detection by wave propagation. - Samuele Salti; Alessandro Lanza; Luigi Di Stefano (J. Electronic Imaging, 2021)

Cross-Spectral Neural Radiance Fields. - Matteo Poggi; Pierluigi Zama Ramirez; Fabio Tosi; Samuele Salti; Stefano Mattoccia; Luigi Di Stefano (3DV, 2022)

Open Challenges in Deep Stereo: the Booster Dataset. - Pierluigi Zama Ramirez; Fabio Tosi; Matteo Poggi; Samuele Salti; Stefano Mattoccia; Luigi Di Stefano (CVPR, 2022)

RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation. - Fabio Tosi; Pierluigi Zama Ramirez; Matteo Poggi; Samuele Salti; Stefano Mattoccia; Luigi Di Stefano (CVPR, 2022)

Learning the Space of Deep Models. - Gianluca Berardi; Luca De Luigi; Samuele Salti; Luigi Di Stefano (ICPR, 2022)

Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation. - Adriano Cardace; Luca De Luigi; Pierluigi Zama Ramirez; Samuele Salti; Luigi Di Stefano (WACV, 2022)

Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries. - Adriano Cardace; Pierluigi Zama Ramirez; Samuele Salti; Luigi Di Stefano (WACV, 2022)

Unsupervised Learning of Local Equivariant Descriptors for Point Clouds. - Marlon Marcon; Riccardo Spezialetti; Samuele Salti; Luciano Silva; Luigi Di Stefano (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Unsafe Maneuver Classification From Dashcam Video and GPS/IMU Sensors Using Spatio-Temporal Attention Selector. - Matteo Simoncini; Douglas Coimbra de Andrade; Leonardo Taccari; Samuele Salti; Luca Kubin; Fabio Schoen; Francesco Sambo (IEEE Trans. Intell. Transp. Syst., 2022)

Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation. - Adriano Cardace; Pierluigi Zama Ramirez; Samuele Salti; Luigi Di Stefano (CVPR Workshops, 2023)

NTIRE 2023 Challenge on HR Depth from Images of Specular and Transparent Surfaces. - Pierluigi Zama Ramirez; Fabio Tosi; Luigi Di Stefano; Radu Timofte; Alex Costanzino; Matteo Poggi; Samuele Salti; Stefano Mattoccia; Jun Shi 004; Dafeng Zhang; Yong A; Yixiang Jin; et al. (CVPR Workshops, 2023)

ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects. - Marco Toschi; Riccardo De Matteo; Riccardo Spezialetti; Daniele De Gregorio; Luigi Di Stefano; Samuele Salti (CVPR, 2023)

Looking at words and points with attention: a benchmark for text-to-shape coherence. - Andrea Amaduzzi; Giuseppe Lisanti; Samuele Salti; Luigi Di Stefano (ICCV (Workshops), 2023)

Deep Learning on Implicit Neural Representations of Shapes. - Luca De Luigi; Adriano Cardace; Riccardo Spezialetti; Pierluigi Zama Ramirez; Samuele Salti; Luigi Di Stefano (ICLR, 2023)

Depth Self-Supervision for Single Image Novel View Synthesis. - Giovanni Minelli; Matteo Poggi; Samuele Salti (IROS, 2023)

Self-Distillation for Unsupervised 3D Domain Adaptation. - Adriano Cardace; Riccardo Spezialetti; Pierluigi Zama Ramirez; Samuele Salti; Luigi Di Stefano (WACV, 2023)

Boosting Multi-Modal Unsupervised Domain Adaptation for LiDAR Semantic Segmentation by Self-Supervised Depth Completion. - Adriano Cardace; Andrea Conti 002; Pierluigi Zama Ramirez; Riccardo Spezialetti; Samuele Salti; Luigi Di Stefano (IEEE Access, 2023)

Bottom-Up Instance Segmentation of Catheters for Chest X-Rays. - Francesca Boccardi; Axel Saalbach; Heinrich Schulz; Samuele Salti; Ilyas Sirazitdinov (CoRR, 2023)

Deep Learning on 3D Neural Fields. - Pierluigi Zama Ramirez; Luca De Luigi; Daniele Sirocchi; Adriano Cardace; Riccardo Spezialetti; Francesco Ballerini; Samuele Salti; Luigi Di Stefano (CoRR, 2023)

Lightweight and Effective Convolutional Neural Networks for Vehicle Viewpoint Estimation From Monocular Images. - Simone Magistri; Marco Boschi; Francesco Sambo; Douglas Coimbra de Andrade; Matteo Simoncini; Luca Kubin; Leonardo Taccari; Luca De Luigi; Samuele Salti (IEEE Trans. Intell. Transp. Syst., 2023)

Learning Good Features to Transfer Across Tasks and Domains. - Pierluigi Zama Ramirez; Adriano Cardace; Luca De Luigi; Alessio Tonioni; Samuele Salti; Luigi Di Stefano (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Connecting NeRFs, Images, and Text. - Francesco Ballerini; Pierluigi Zama Ramirez; Roberto Mirabella; Samuele Salti; Luigi Di Stefano (CVPR Workshops, 2024)

Test Time Training for Industrial Anomaly Segmentation. - Alex Costanzino; Pierluigi Zama Ramirez; Mirko Del Moro; Agostino Aiezzo; Giuseppe Lisanti; Samuele Salti; Luigi Di Stefano (CVPR Workshops, 2024)

NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces. - 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; et al. (CVPR Workshops, 2024)

Neural Processing of Tri-Plane Hybrid Neural Fields. - Adriano Cardace; Pierluigi Zama Ramirez; Francesco Ballerini; Allan Zhou; Samuele Salti; Luigi Di Stefano (ICLR, 2024)

LLaNA: Large Language and NeRF Assistant. - Andrea Amaduzzi; Pierluigi Zama Ramirez; Giuseppe Lisanti; Samuele Salti; Luigi Di Stefano (NeurIPS, 2024)

AnomalyControl: Few-Shot Anomaly Generation by ControlNet Inpainting. - Musawar Ali; Nicola Fioraio; Samuele Salti; Luigi Di Stefano (IEEE Access, 2024)

Automatic Implant Generation for Cranioplasty via Occupancy Networks. - Stefano Mazzocchetti; Mirko Bevini; Giovanni Badiali; Giuseppe Lisanti; Luigi Di Stefano; Samuele Salti (IEEE Access, 2024)

Booster: A Benchmark for Depth From Images of Specular and Transparent Surfaces. - Pierluigi Zama Ramirez; Alex Costanzino; Fabio Tosi; Matteo Poggi; Samuele Salti; Stefano Mattoccia; Luigi Di Stefano (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Dynamic Bird's Eye View Reconstruction of Driving Accidents. - Marco Boschi; Luca De Luigi; Samuele Salti; Francesco Sambo; Douglas Coimbra de Andrade; Leonardo Taccari; Alex Quintero Garcia (IEEE Trans. Intell. Transp. Syst., 2024)

Deep Learning on Object-Centric 3D Neural Fields. - Pierluigi Zama Ramirez; Luca De Luigi; Daniele Sirocchi; Adriano Cardace; Riccardo Spezialetti; Francesco Ballerini; Samuele Salti; Luigi Di Stefano (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Neural Disparity Refinement. - Fabio Tosi; Filippo Aleotti; Pierluigi Zama Ramirez; Matteo Poggi; Samuele Salti; Stefano Mattoccia; Luigi Di Stefano (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces. - Pierluigi Zama Ramirez; Fabio Tosi; Luigi Di Stefano; Radu Timofte; Alex Costanzino; Matteo Poggi; Samuele Salti; Stefano Mattoccia; Zhe Zhang; Yang Yang 009; Wu Chen; Anlong Ming; et al. (CVPR Workshops, 2025)

RendBEV: Semantic Novel View Synthesis for Self-Supervised Bird's Eye View Segmentation. - Henrique Piñeiro Monteagudo; Leonardo Taccari; Aurel Pjetri; Francesco Sambo; Samuele Salti (WACV, 2025)

Embed Any NeRF: Graph Meta-Networks for Neural Tasks on Arbitrary NeRF Architectures. - Francesco Ballerini; Pierluigi Zama Ramirez; Samuele Salti; Luigi Di Stefano (CoRR, 2025)

Scaling LLaNA: Advancing NeRF-Language Understanding Through Large-Scale Training. - Andrea Amaduzzi; Pierluigi Zama Ramirez; Giuseppe Lisanti; Samuele Salti; Luigi Di Stefano (CoRR, 2025)

Additive decomposition of one-dimensional signals using Transformers. - Samuele Salti; Andrea Pinto; Alessandro Lanza; Serena Morigi (CoRR, 2025)

Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing. - Adrian Poniatowski; Natalie Gentner; Manuel Barusco; Davide Dalle Pezze; Samuele Salti; Gian Antonio Susto (CoRR, 2025)