Fast Stereo Matching for the VIDET System using a General Purpose Processor with Multimedia Extensions. - Luigi Di Stefano; Stefano Mattoccia (CAMP, 2000)

Perception of Depth Information by Means of a Wire-Actuated Haptic Interface. - Paolo Arcara; Luigi Di Stefano; Stefano Mattoccia; Claudio Melchiorri; Gabriele Vassura (ICRA, 2000)

Temporal Filtering of Disparity Measurements. - Luigi Di Stefano; Stefano Mattoccia; Giovanni Neri; D. Piccinini (ICIAP, 2001)

Quantitative evaluation of area-based stereo matching. - Luigi Di Stefano; Massimiliano Marchionni; Stefano Mattoccia; Giovanni Neri (ICARCV, 2002)

Dense Stereo Based on the Uniqueness Constraint. - Luigi Di Stefano; Massimiliano Marchionni; Stefano Mattoccia; Giovanni Neri (ICPR (3), 2002)

Real-Time Stereo within the VIDET Project. - Luigi Di Stefano; Stefano Mattoccia (Real Time Imaging, 2002)

A Change-Detection Algorithm Based on Structure and Colour. - Luigi Di Stefano; Stefano Mattoccia; Martino Mola (AVSS, 2003)

An efficient algorithm for exhaustive template matching based on normalized cross correlation. - Luigi Di Stefano; Stefano Mattoccia; Martino Mola (ICIAP, 2003)

A sufficient condition based on the Cauchy-Schwarz inequality for efficient template matching. - Luigi Di Stefano; Stefano Mattoccia (ICIP (1), 2003)

Fast template matching using bounded partial correlation. - Luigi Di Stefano; Stefano Mattoccia (Mach. Vis. Appl., 2003)

A Change-Detection Algorithm Enabling Intelligent Background Maintenance. - Luigi Di Stefano; Stefano Mattoccia; Martino Mola (ICIAR (2), 2004)

An Algorithm for Efficient and Exhaustive Template Matching. - Luigi Di Stefano; Stefano Mattoccia; Federico Tombari (ICIAR (1), 2004)

A fast area-based stereo matching algorithm. - Luigi Di Stefano; Massimiliano Marchionni; Stefano Mattoccia (Image Vis. Comput., 2004)

Speeding-up NCC-Based Template Matching Using Parallel Multimedia Instructions. - Luigi Di Stefano; Stefano Mattoccia; Federico Tombari (CAMP, 2005)

ZNCC-based template matching using bounded partial correlation. - Luigi Di Stefano; Stefano Mattoccia; Federico Tombari (Pattern Recognit. Lett., 2005)

Template Matching Based on the L_p Norm Using Sufficient Conditions with Incremental Approximations. - Federico Tombari; Stefano Mattoccia; Luigi Di Stefano (AVSS, 2006)

Stereo Vision Enabling Precise Border Localization Within a Scanline Optimization Framework. - Stefano Mattoccia; Federico Tombari; Luigi Di Stefano (ACCV (2), 2007)

Efficient and optimal block matching for motion estimation. - Stefano Mattoccia; Federico Tombari; Luigi Di Stefano; Marco Pignoloni (ICIAP, 2007)

A robust measure for visual correspondence. - Federico Tombari; Luigi Di Stefano; Stefano Mattoccia (ICIAP, 2007)

Segmentation-Based Adaptive Support for Accurate Stereo Correspondence. - Federico Tombari; Stefano Mattoccia; Luigi Di Stefano (PSIVT, 2007)

An Evaluation Methodology for Image Mosaicing Algorithms. - Pietro Azzari; Luigi Di Stefano; Stefano Mattoccia (ACIVS, 2008)

Graffiti Detection Using a Time-Of-Flight Camera. - Federico Tombari; Luigi Di Stefano; Stefano Mattoccia; Andrea Zanetti (ACIVS, 2008)

Multi-view Access Monitoring and Singularization in Interlocks. - Luigi Di Stefano; Federico Tombari; Stefano Mattoccia; Matteo Balasso (AVSS, 2008)

Classification and evaluation of cost aggregation methods for stereo correspondence. - Federico Tombari; Stefano Mattoccia; Luigi Di Stefano; Elisa Addimanda (CVPR, 2008)

Reliable rejection of mismatching candidates for efficient ZNCC template matching. - Stefano Mattoccia; Federico Tombari; Luigi Di Stefano (ICIP, 2008)

Markerless Augmented Reality Using Image Mosaics. - Pietro Azzari; Luigi Di Stefano; Federico Tombari; Stefano Mattoccia (ICISP, 2008)

Near real-time stereo based on effective cost aggregation. - Federico Tombari; Stefano Mattoccia; Luigi Di Stefano; Elisa Addimanda (ICPR, 2008)

Performance Evaluation of Robust Matching Measures. - Federico Tombari; Luigi Di Stefano; Stefano Mattoccia; Angelo Galanti (VISAPP (1), 2008)

Fast Full-Search Equivalent Template Matching by Enhanced Bounded Correlation. - Stefano Mattoccia; Federico Tombari; Luigi Di Stefano (IEEE Trans. Image Process., 2008)

Accurate and Efficient Cost Aggregation Strategy for Stereo Correspondence Based on Approximated Joint Bilateral Filtering. - Stefano Mattoccia; Simone Giardino; Andrea Gambini (ACCV (2), 2009)

Enhanced Low-Resolution Pruning for Fast Full-Search Template Matching. - Stefano Mattoccia; Federico Tombari; Luigi Di Stefano (ACIVS, 2009)

A Template Analysis Methodology to Improve the Efficiency of Fast Matching Algorithms. - Federico Tombari; Stefano Mattoccia; Luigi Di Stefano; Fabio Regoli; Riccardo Viti (ACIVS, 2009)

A locally global approach to stereo correspondence. - Stefano Mattoccia (ICCV Workshops, 2009)

Full-Search-Equivalent Pattern Matching with Incremental Dissimilarity Approximations. - Federico Tombari; Stefano Mattoccia; Luigi Di Stefano (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Fast locally consistent dense stereo on multicore. - Stefano Mattoccia (CVPR Workshops, 2010)

Stereo for robots: Quantitative evaluation of efficient and low-memory dense stereo algorithms. - Federico Tombari; Stefano Mattoccia; Luigi Di Stefano (ICARCV, 2010)

A 3D reconstruction system based on improved spacetime stereo. - Federico Tombari; Luigi Di Stefano; Stefano Mattoccia; Andrea Mainetti (ICARCV, 2010)

Accurate Dense Stereo by Constraining Local Consistency on Superpixels. - Stefano Mattoccia (ICPR, 2010)

Scene Segmentation Assisted by Stereo Vision. - Carlo Dal Mutto; Pietro Zanuttigh; Guido M. Cortelazzo; Stefano Mattoccia (3DIMPVT, 2011)

Near real-time Fast Bilateral Stereo on the GPU. - Stefano Mattoccia; Marco Viti; Florian Ries (CVPR Workshops, 2011)

Efficient aggregation via iterative block-based adapting support-weights. - Leonardo De-Maeztu; Stefano Mattoccia; Arantxa Villanueva; Rafael Cabeza (IC3D, 2011)

A fast segmentation-driven algorithm for accurate stereo correspondence. - Stefano Mattoccia; Leonardo De-Maeztu (IC3D, 2011)

Linear stereo matching. - Leonardo De-Maeztu; Stefano Mattoccia; Arantxa Villanueva; Rafael Cabeza (ICCV, 2011)

Efficient template matching for multi-channel images. - Stefano Mattoccia; Federico Tombari; Luigi Di Stefano (Pattern Recognit. Lett., 2011)

Locally Consistent ToF and Stereo Data Fusion. - Carlo Dal Mutto; Pietro Zanuttigh; Stefano Mattoccia; Guido Maria Cortelazzo (ECCV Workshops (1), 2012)

Introduction to the Issue on Emerging Techniques in 3-D. - A. Aydin Alatan; Jörn Ostermann; Levent Onural; Ghassan Alregib; Stefano Mattoccia; Chunrong Yuan (IEEE J. Sel. Top. Signal Process., 2012)

Performance Evaluation of Full Search Equivalent Pattern Matching Algorithms. - Wanli Ouyang; Federico Tombari; Stefano Mattoccia; Luigi Di Stefano; Wai-kuen Cham (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Stereo Vision Algorithms for FPGAs. - Stefano Mattoccia (CVPR Workshops, 2013)

A Compact 3D Camera Suited for Mobile and Embedded Vision Applications. - Stefano Mattoccia; Ilario Marchio; Marco Casadio (CVPR Workshops, 2014)

3D Glasses as Mobility Aid for Visually Impaired People. - Stefano Mattoccia; Paolo Macri (ECCV Workshops (3), 2014)

Real-time tracking with an embedded 3D camera with FPGA processing. - Alessandro Muscoloni; Stefano Mattoccia (IC3D, 2014)

A Real Time 3D Sensor for Smart Cameras. - Stefano Mattoccia; Paolo Macri (ICDSC, 2014)

A compact, lightweight and energy efficient system for autonomous navigation based on 3D vision. - Stefano Mattoccia; Paolo Macri; Giacomo Parmigiani; Giuseppe Rizza (MESA, 2014)

A passive RGBD sensor for accurate and real-time depth sensing self-contained into an FPGA. - Stefano Mattoccia; Matteo Poggi (ICDSC, 2015)

Crosswalk Recognition Through Point-Cloud Processing and Deep-Learning Suited to a Wearable Mobility Aid for the Visually Impaired. - Matteo Poggi; Luca Nanni; Stefano Mattoccia (ICIAP Workshops, 2015)

Deep Stereo Fusion: Combining Multiple Disparity Hypotheses with Deep-Learning. - Matteo Poggi; Stefano Mattoccia (3DV, 2016)

Learning a General-Purpose Confidence Measure Based on O(1) Features and a Smarter Aggregation Strategy for Semi Global Matching. - Matteo Poggi; Stefano Mattoccia (3DV, 2016)

Learning from scratch a confidence measure. - Matteo Poggi; Stefano Mattoccia (BMVC, 2016)

Reliable Fusion of ToF and Stereo Depth Driven by Confidence Measures. - Giulio Marin; Pietro Zanuttigh; Stefano Mattoccia (ECCV (7), 2016)

Improving the reliability of 3D people tracking system by means of deep-learning. - Matteo Boschini; Matteo Poggi; Stefano Mattoccia (IC3D, 2016)

Evaluation of variants of the SGM algorithm aimed at implementation on embedded or reconfigurable devices. - Matteo Poggi; Stefano Mattoccia (IC3D, 2016)

A wearable mobility aid for the visually impaired based on embedded 3D vision and deep learning. - Matteo Poggi; Stefano Mattoccia (ISCC, 2016)

Real-time image distortion correction: Analysis and evaluation of FPGA-compatible algorithms. - Paolo Di Febbo; Stefano Mattoccia; Carlo Dal Mutto (ReConFig, 2016)

Learning confidence measures in the wild. - Fabio Tosi; Matteo Poggi; Stefano Mattoccia; Alessio Tonioni; Luigi Di Stefano (BMVC, 2017)

Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps. - Matteo Poggi; Stefano Mattoccia (CVPR, 2017)

Even More Confident Predictions with Deep Machine-Learning. - Matteo Poggi; Fabio Tosi; Stefano Mattoccia (CVPR Workshops, 2017)

Quantitative Evaluation of Confidence Measures in a Machine Learning World. - Matteo Poggi; Fabio Tosi; Stefano Mattoccia (ICCV, 2017)

Unsupervised Adaptation for Deep Stereo. - Alessio Tonioni; Matteo Poggi; Stefano Mattoccia; Luigi Di Stefano (ICCV, 2017)

Efficient Confidence Measures for Embedded Stereo. - Matteo Poggi; Fabio Tosi; Stefano Mattoccia (ICIAP (1), 2017)

Learning Monocular Depth Estimation with Unsupervised Trinocular Assumptions. - Matteo Poggi; Fabio Tosi; Stefano Mattoccia (3DV, 2018)

Geometry Meets Semantics for Semi-supervised Monocular Depth Estimation. - Pierluigi Zama Ramirez; Matteo Poggi; Fabio Tosi; Stefano Mattoccia; Luigi Di Stefano (ACCV (3), 2018)

KCNN: Extremely-Efficient Hardware Keypoint Detection With a Compact Convolutional Neural Network. - Paolo Di Febbo; Carlo Dal Mutto; Kinh Tieu; Stefano Mattoccia (CVPR Workshops, 2018)

Generative Adversarial Networks for Unsupervised Monocular Depth Prediction. - Filippo Aleotti; Fabio Tosi; Matteo Poggi; Stefano Mattoccia (ECCV Workshops (1), 2018)

Beyond Local Reasoning for Stereo Confidence Estimation with Deep Learning. - Fabio Tosi; Matteo Poggi; Antonio Benincasa; Stefano Mattoccia (ECCV (6), 2018)

Towards Real-Time Unsupervised Monocular Depth Estimation on CPU. - Matteo Poggi; Filippo Aleotti; Fabio Tosi; Stefano Mattoccia (IROS, 2018)

Optical Tracking Velocimetry (OTV): Leveraging Optical Flow and Trajectory-Based Filtering for Surface Streamflow Observations. - Flavia Tauro; Fabio Tosi; Stefano Mattoccia; Elena Toth; Rodolfo Piscopia; Salvatore Grimaldi (Remote. Sens., 2018)

Guest Editorial: Special Issue on Embedded Computer Vision. - Stefano Mattoccia; Branislav Kisacanin; Margrit Gelautz; Sek M. Chai; Ahmed Nabil Belbachir; Goksel Dedeoglu; Fridtjof Stein (J. Signal Process. Syst., 2018)

Enhancing Self-Supervised Monocular Depth Estimation with Traditional Visual Odometry. - Lorenzo Andraghetti; Panteleimon Myriokefalitakis; Pier Luigi Dovesi; Belén Luque; Matteo Poggi; Alessandro Pieropan; Stefano Mattoccia (3DV, 2019)

Guided Stereo Matching. - Matteo Poggi; Davide Pallotti; Fabio Tosi; Stefano Mattoccia (CVPR, 2019)

Real-Time Self-Adaptive Deep Stereo. - Alessio Tonioni; Fabio Tosi; Matteo Poggi; Stefano Mattoccia; Luigi Di Stefano (CVPR, 2019)

Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge. - Fabio Tosi; Filippo Aleotti; Matteo Poggi; Stefano Mattoccia (CVPR, 2019)

Leveraging Confident Points for Accurate Depth Refinement on Embedded Systems. - Fabio Tosi; Matteo Poggi; Stefano Mattoccia (CVPR Workshops, 2019)

Enabling Energy-Efficient Unsupervised Monocular Depth Estimation on ARMv7-Based Platforms. - Valentino Peluso; Antonio Cipolletta; Andrea Calimera; Matteo Poggi; Fabio Tosi; Stefano Mattoccia (DATE, 2019)

Enhancing self-supervised monocular depth estimationwith traditional visual odometry. - Lorenzo Andraghetti; Panteleimon Myriokefalitakis; Pier Luigi Dovesi; Belén Luque; Matteo Poggi; Alessandro Pieropan; Stefano Mattoccia (CoRR, 2019)

Matching-space Stereo Networks for Cross-domain Generalization. - Changjiang Cai; Matteo Poggi; Stefano Mattoccia; Philippos Mordohai (3DV, 2020)

Learning End-to-End Scene Flow by Distilling Single Tasks Knowledge. - Filippo Aleotti; Matteo Poggi; Fabio Tosi; Stefano Mattoccia (AAAI, 2020)

Enabling monocular depth perception at the very edge. - Valentino Peluso; Antonio Cipolletta; Andrea Calimera; Matteo Poggi; Fabio Tosi; Filippo Aleotti; Stefano Mattoccia (CVPR Workshops, 2020)

On the Uncertainty of Self-Supervised Monocular Depth Estimation. - Matteo Poggi; Filippo Aleotti; Fabio Tosi; Stefano Mattoccia (CVPR, 2020)

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)

Reversing the Cycle: Self-supervised Deep Stereo Through Enhanced Monocular Distillation. - Filippo Aleotti; Fabio Tosi; Li Zhang; Matteo Poggi; Stefano Mattoccia (ECCV (11), 2020)

Self-adapting Confidence Estimation for Stereo. - Matteo Poggi; Filippo Aleotti; Fabio Tosi; Giulio Zaccaroni; Stefano Mattoccia (ECCV (24), 2020)

Leveraging a weakly adversarial paradigm for joint learning of disparity and confidence estimation. - Matteo Poggi; Fabio Tosi; Filippo Aleotti; Stefano Mattoccia (ICPR, 2020)

Real-Time Semantic Stereo Matching. - Pier Luigi Dovesi; Matteo Poggi; Lorenzo Andraghetti; Miquel Martí; Hedvig Kjellström; Alessandro Pieropan; Stefano Mattoccia (ICRA, 2020)

On the Synergies between Machine Learning and Stereo: a Survey. - Matteo Poggi; Fabio Tosi; Konstantinos Batsos; Philippos Mordohai; Stefano Mattoccia (CoRR, 2020)

Learning a confidence measure in the disparity domain from O(1) features. - Matteo Poggi; Fabio Tosi; Stefano Mattoccia (Comput. Vis. Image Underst., 2020)

Unsupervised Domain Adaptation for Depth Prediction from Images. - Alessio Tonioni; Matteo Poggi; Stefano Mattoccia; Luigi Di Stefano (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Enabling Image-Based Streamflow Monitoring at the Edge. - Fabio Tosi; Matteo Rocca; Filippo Aleotti; Matteo Poggi; Stefano Mattoccia; Flavia Tauro; Elena Toth; Salvatore Grimaldi (Remote. Sens., 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)

Learning Optical Flow From Still Images. - Filippo Aleotti; Matteo Poggi; Stefano Mattoccia (CVPR, 2021)

Sensor-Guided Optical Flow. - Matteo Poggi; Filippo Aleotti; Stefano Mattoccia (ICCV, 2021)

Beyond the Baseline: 3D Reconstruction of Tiny Objects With Single Camera Stereo Robot. - Daniele De Gregorio; Matteo Poggi; Pierluigi Zama Ramirez; Gianluca Palli; Stefano Mattoccia; Luigi Di Stefano (IEEE Access, 2021)

A computer vision approach based on deep learning for the detection of dairy cows in free stall barn. - 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 (Comput. Electron. Agric., 2021)

Real-Time Single Image Depth Perception in the Wild with Handheld Devices. - Filippo Aleotti; Giulio Zaccaroni; Luca Bartolomei 001; Matteo Poggi; Fabio Tosi; Stefano Mattoccia (Sensors, 2021)

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

MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer. - Chaoqiang Zhao; Youmin Zhang 008; Matteo Poggi; Fabio Tosi; Xianda Guo; Zheng Zhu; Guan Huang 003; Yang Tang; Stefano Mattoccia (3DV, 2022)

A Cascade Dense Connection Fusion Network for Depth Completion. - Rizhao Fan; Zhigen Li; Matteo Poggi; Stefano Mattoccia (BMVC, 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)

Meta-confidence estimation for stereo matching. - Seungryong Kim; Matteo Poggi; Sunok Kim; Kwanghoon Sohn; Stefano Mattoccia (ICRA, 2022)

Unsupervised confidence for LiDAR depth maps and applications. - Andrea Conti 002; Matteo Poggi; Filippo Aleotti; Stefano Mattoccia (IROS, 2022)

Multi-View Guided Multi-View Stereo. - Matteo Poggi; Andrea Conti 002; Stefano Mattoccia (IROS, 2022)

Energy-Quality Scalable Monocular Depth Estimation on Low-Power CPUs. - Antonio Cipolletta; Valentino Peluso; Andrea Calimera; Matteo Poggi; Fabio Tosi; Filippo Aleotti; Stefano Mattoccia (IEEE Internet Things J., 2022)

On the Confidence of Stereo Matching in a Deep-Learning Era: A Quantitative Evaluation. - Matteo Poggi; Seungryong Kim; Fabio Tosi; Sunok Kim; Filippo Aleotti; Dongbo Min; Kwanghoon Sohn; Stefano Mattoccia (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

On the Synergies Between Machine Learning and Binocular Stereo for Depth Estimation From Images: A Survey. - Matteo Poggi; Fabio Tosi; Konstantinos Batsos; Philippos Mordohai; Stefano Mattoccia (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Continual Adaptation for Deep Stereo. - Matteo Poggi; Alessio Tonioni; Fabio Tosi; Stefano Mattoccia; Luigi Di Stefano (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Monocular Depth Perception on Microcontrollers for Edge Applications. - Valentino Peluso; Antonio Cipolletta; Andrea Calimera; Matteo Poggi; Fabio Tosi; Filippo Aleotti; Stefano Mattoccia (IEEE Trans. Circuits Syst. Video Technol., 2022)

Monitoring Social Distancing With Single Image Depth Estimation. - Alessio Mingozzi; Andrea Conti 002; Filippo Aleotti; Matteo Poggi; Stefano Mattoccia (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Real-Time Self-Supervised Monocular Depth Estimation Without GPU. - Matteo Poggi; Fabio Tosi; Filippo Aleotti; Stefano Mattoccia (IEEE Trans. Intell. Transp. Syst., 2022)

Lightweight Self-Supervised Depth Estimation with few-beams LiDAR Data. - Rizhao Fan; Fabio Tosi; Matteo Poggi; Stefano Mattoccia (BMVC, 2023)

On-Site Adaptation for Monocular Depth Estimation with a Static Camera. - Huan Li; Matteo Poggi; Fabio Tosi; Stefano Mattoccia (BMVC, 2023)

CompletionFormer: Depth Completion with Convolutions and Vision Transformers. - Youmin Zhang 008; Xianda Guo; Matteo Poggi; Zheng Zhu; Guan Huang 003; Stefano Mattoccia (CVPR, 2023)

Contrastive Learning for Depth Prediction. - Rizhao Fan; Matteo Poggi; Stefano Mattoccia (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)

The Second Monocular Depth Estimation Challenge. - Jaime Spencer; C. Stella Qian; Michaela Trescakova; Chris Russell 001; Simon Hadfield; Erich W. Graf; Wendy J. Adams; Andrew J. Schofield; James H. Elder; Richard Bowden; Ali Anwar 002; Hao Chen 041; et al. (CVPR Workshops, 2023)

Active Stereo Without Pattern Projector. - Luca Bartolomei 001; Matteo Poggi; Fabio Tosi; Andrea Conti 002; Stefano Mattoccia (ICCV, 2023)

GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction. - Youmin Zhang 008; Fabio Tosi; Stefano Mattoccia; Matteo Poggi (ICCV, 2023)

Learning Depth Estimation for Transparent and Mirror Surfaces. - Alex Costanzino; Pierluigi Zama Ramirez; Matteo Poggi; Fabio Tosi; Stefano Mattoccia; Luigi Di Stefano (ICCV, 2023)

GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes. - Chaoqiang Zhao; Matteo Poggi; Fabio Tosi; Lei Zhou; Qiyu Sun; Yang Tang; Stefano Mattoccia (ICCV, 2023)

TemporalStereo: Efficient Spatial-Temporal Stereo Matching Network. - Youmin Zhang 008; Matteo Poggi; Stefano Mattoccia (IROS, 2023)

Sparsity Agnostic Depth Completion. - Andrea Conti 002; Matteo Poggi; Stefano Mattoccia (WACV, 2023)

The Monocular Depth Estimation Challenge. - Jaime Spencer; C. Stella Qian; Chris Russell 001; Simon Hadfield; Erich W. Graf; Wendy J. Adams; Andrew J. Schofield; James H. Elder; Richard Bowden; Heng Cong; Stefano Mattoccia; Matteo Poggi; et al. (WACV (Workshops), 2023)

Depth Restoration in Under-Display Time-of-Flight Imaging. - Xin Qiao; Chenyang Ge; Pengchao Deng; Hao Wei 005; Matteo Poggi; Stefano Mattoccia (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Self-supervised depth super-resolution with contrastive multiview pre-training. - Xin Qiao; Chenyang Ge; Chaoqiang Zhao; Fabio Tosi; Matteo Poggi; Stefano Mattoccia (Neural Networks, 2023)

Depth super-resolution from explicit and implicit high-frequency features. - Xin Qiao; Chenyang Ge; Youmin Zhang 008; Yanhui Zhou; Fabio Tosi; Matteo Poggi; Stefano Mattoccia (Comput. Vis. Image Underst., 2023)

Revisiting Depth Completion from a Stereo Matching Perspective for Cross-domain Generalization. - Luca Bartolomei 001; Matteo Poggi; Andrea Conti 002; Fabio Tosi; Stefano Mattoccia (3DV, 2024)

Range-Agnostic Multi-View Depth Estimation with Keyframe Selection. - Andrea Conti 002; Matteo Poggi; Valerio Cambareri; Stefano Mattoccia (3DV, 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)

LiDAR-Event Stereo Fusion with Hallucinations. - Luca Bartolomei 001; Matteo Poggi; Andrea Conti 002; Stefano Mattoccia (ECCV (6), 2024)

Depth on Demand: Streaming Dense Depth from a Low Frame Rate Active Sensor. - Andrea Conti 002; Matteo Poggi; Valerio Cambareri; Stefano Mattoccia (ECCV (61), 2024)

Exploring Few-Beam LiDAR Assistance in Self-Supervised Multi-Frame Depth Estimation. - Rizhao Fan; Matteo Poggi; Stefano Mattoccia (IROS, 2024)

How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey. - Fabio Tosi; Youmin Zhang 008; Ziren Gong; Erik Sandström; Stefano Mattoccia; Martin R. Oswald; Matteo Poggi (CoRR, 2024)

Stereo-Depth Fusion through Virtual Pattern Projection. - Luca Bartolomei 001; Matteo Poggi; Fabio Tosi; Andrea Conti 002; Stefano Mattoccia (CoRR, 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)

Robust depth perception through Virtual Pattern Projection (CVPR 2024 DEMO). - Luca Bartolomei 001; Matteo Poggi; Fabio Tosi; Andrea Conti 002; Stefano Mattoccia (Zenodo, 2024)

Guest Editorial: Special Issue on Traditional Computer Vision in the Age of Deep Learning. - Matteo Poggi; Federica Arrigoni; Andrea Fusiello; Stefano Mattoccia; Adrien Bartoli; Torsten Sattler; Tomás Pajdla (Int. J. Comput. Vis., 2024)

RGB Guided ToF Imaging System: A Survey of Deep Learning-Based Methods. - Xin Qiao; Matteo Poggi; Pengchao Deng; Hao Wei 005; Chenyang Ge; Stefano Mattoccia (Int. J. Comput. Vis., 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)

Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail. - Luca Bartolomei 001; Fabio Tosi; Matteo Poggi; Stefano Mattoccia (CVPR, 2025)

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)

CabNIR: A Benchmark for In-Vehicle Infrared Monocular Depth Estimation. - Ugo Leone Cavalcanti; Matteo Poggi; Fabio Tosi; Valerio Cambareri; Vladimir Zlokolica; Stefano Mattoccia (WACV, 2025)

HS-SLAM: Hybrid Representation with Structural Supervision for Improved Dense SLAM. - Ziren Gong; Fabio Tosi; Youmin Zhang 008; Stefano Mattoccia; Matteo Poggi (CoRR, 2025)

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration. - Andrea Conti 002; Matteo Poggi; Valerio Cambareri; Martin R. Oswald; Stefano Mattoccia (CoRR, 2025)

DINO-SLAM: DINO-informed RGB-D SLAM for Neural Implicit and Explicit Representations. - Ziren Gong; Xiaohan Li; Fabio Tosi; Youmin Zhang 008; Stefano Mattoccia; Jun Wu; Matteo Poggi (CoRR, 2025)

Ov3R: Open-Vocabulary Semantic 3D Reconstruction from RGB Videos. - Ziren Gong; Xiaohan Li; Fabio Tosi; Jiawei Han; Stefano Mattoccia; Jianfei Cai 001; Matteo Poggi (CoRR, 2025)

Stereo 3D Gaussian Splatting SLAM for Outdoor Urban Scenes. - Xiaohan Li; Ziren Gong; Fabio Tosi; Matteo Poggi; Stefano Mattoccia; Dong Liu; Jun Wu (CoRR, 2025)