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)

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)

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)

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)

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)

Computer Vision for 3D Perception and Applications. - Matteo Poggi; Thomas B. Moeslund (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)

RED-SEA: Network Solution for Exascale Architectures. - Andrea Biagioni; Paolo Cretaro; Ottorino Frezza; Francesca Lo Cicero; Alessandro Lonardo; Michele Martinelli; Pier Stanislao Paolucci; Elena Pastorelli; Francesco Simula; Matteo Turisini; Piero Vicini; Roberto Ammendola; et al. (DSD, 2022)

Online Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions. - Theodoros Panagiotakopoulos; Pier Luigi Dovesi; Linus Härenstam-Nielsen; Matteo Poggi (ECCV (34), 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)

Semi-Supervised Learning of Monocular Depth Estimation via Consistency Regularization with K-way Disjoint Masking. - Jongbeom Baek; Gyeongnyeon Kim; Seonghoon Park 002; Honggyu An; Matteo Poggi; Seungryong Kim (CoRR, 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)

NeRF-Supervised Deep Stereo. - Fabio Tosi; Alessio Tonioni; Daniele De Gregorio; Matteo Poggi (CVPR, 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)

To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation. - Marc Botet Colomer; Pier Luigi Dovesi; Theodoros Panagiotakopoulos; Joao Frederico Carvalho; Linus Härenstam-Nielsen; Hossein Azizpour; Hedvig Kjellström; Daniel Cremers; 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)

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

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

ScanNeRF: a Scalable Benchmark for Neural Radiance Fields. - Luca De Luigi; Damiano Bolognini; Federico Domeniconi; Daniele De Gregorio; Matteo Poggi; Luigi Di Stefano (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)

Self-Evolving Depth-Supervised 3D Gaussian Splatting from Rendered Stereo Pairs. - Sadra Safadoust; Fabio Tosi; Fatma Güney; Matteo Poggi (BMVC, 2024)

Federated Online Adaptation for Deep Stereo. - Matteo Poggi; Fabio Tosi (CVPR, 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)

The Third Monocular Depth Estimation Challenge. - Jaime Spencer; Fabio Tosi; Matteo Poggi; Ripudaman Singh Arora; Chris Russell 001; Simon Hadfield; Richard Bowden; GuangYuan Zhou; ZhengXin Li; Qiang Rao; YiPing Bao; Xiao Liu 004; 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)

TRICKY 2024 Challenge on Monocular Depth from Images of Specular and Transparent Surfaces. - Pierluigi Zama Ramirez; Alex Costanzino; Fabio Tosi; Matteo Poggi; Luigi Di Stefano; Jean-Baptiste Weibel; Dominik Bauer; Doris Antensteiner; Markus Vincze; Jiaqi Li 007; Yachuan Huang; Junrui Zhang 003; et al. (ECCV Workshops (1), 2024)

Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions. - Fabio Tosi; Pierluigi Zama Ramirez; Matteo Poggi (ECCV (23), 2024)

MaskingDepth: Masked Consistency Regularization for Semi-Supervised Monocular Depth Estimation. - Jongbeom Baek; Gyeongnyeon Kim; Seonghoon Park 002; Honggyu An; Matteo Poggi; Seungryong Kim (IROS, 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)

The Third Monocular Depth Estimation Challenge. - Jaime Spencer; Fabio Tosi; Matteo Poggi; Ripudaman Singh Arora; Chris Russell 001; Simon Hadfield; Richard Bowden; GuangYuan Zhou; ZhengXin Li; Qiang Rao; YiPing Bao; Xiao Liu 004; et al. (CoRR, 2024)

Learning Temporally Consistent Video Depth from Video Diffusion Priors. - Jiahao Shao; Yuanbo Yang; Hongyu Zhou; Youmin Zhang 008; Yujun Shen; Matteo Poggi; Yiyi Liao (CoRR, 2024)

Stereo-Depth Fusion through Virtual Pattern Projection. - Luca Bartolomei 001; Matteo Poggi; Fabio Tosi; Andrea Conti 002; Stefano Mattoccia (CoRR, 2024)

Stereo Anything: Unifying Stereo Matching with Large-Scale Mixed Data. - Xianda Guo; Chenming Zhang; Youmin Zhang 008; Dujun Nie; Ruilin Wang; Wenzhao Zheng; Matteo Poggi; Long Chen 005 (CoRR, 2024)

RED-SEA Project: Towards a new-generation European interconnect. - María Engracia Gómez; Julio Sahuquillo; Andrea Biagioni; Nikos Chrysos; Damien Berton; Ottorino Frezza; Francesca Lo Cicero; Alessandro Lonardo; Michele Martinelli; Pier Stanislao Paolucci; Elena Pastorelli; Francesco Simula; et al. (Microprocess. Microsystems, 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)

The Fourth Monocular Depth Estimation Challenge. - Anton Obukhov; Matteo Poggi; Fabio Tosi; Ripudaman Singh Arora; Jaime Spencer; Chris Russell 001; Simon Hadfield; Richard Bowden; Shuaihang Wang; Zhenxin Ma; Weijie Chen 006; Baobei Xu; et al. (CVPR Workshops, 2025)

Semantic Library Adaptation: LoRA Retrieval and Fusion for Open-Vocabulary Semantic Segmentation. - Reza Qorbani; Gianluca Villani; Theodoros Panagiotakopoulos; Marc Botet Colomer; Linus Härenstam-Nielsen; Mattia Segù; Pier Luigi Dovesi; Jussi Karlgren; Daniel Cremers; Federico Tombari; Matteo Poggi (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)

Learning Temporally Consistent Video Depth from Video Diffusion Priors. - Jiahao Shao; Yuanbo Yang; Hongyu Zhou; Youmin Zhang 008; Yujun Shen; Vitor Guizilini; Yue Wang 041; Matteo Poggi; Yiyi Liao (CVPR, 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)

WarpRF: Multi-View Consistency for Training-Free Uncertainty Quantification and Applications in Radiance Fields. - Sadra Safadoust; Fabio Tosi; Fatma Güney; Matteo Poggi (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)

A Survey on Deep Stereo Matching in the Twenties. - Fabio Tosi; Luca Bartolomei 001; Matteo Poggi (Int. J. Comput. Vis., 2025)