Stefano Mattoccia

208 papers A* 26A 14B 11C 6Misc 5Journal 90Unranked 56

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	How NeRFs and 3-D Gaussian Splatting Are Reshaping SLAM: A Survey. IEEE Trans. Robotics Fabio Tosi, Youmin Zhang, Ziren Gong, Erik Sandström, Stefano Mattoccia, Martin R. Oswald, Matteo Poggi
2025	J	`jnl`	Active Stereo in the Wild through Virtual Pattern Projection. Int. J. Comput. Vis. Luca Bartolomei, Matteo Poggi, Fabio Tosi, Andrea Conti, Stefano Mattoccia
2025	A	`conf`	CabNIR: A Benchmark for In-Vehicle Infrared Monocular Depth Estimation. WACV Ugo Leone Cavalcanti, Matteo Poggi, Fabio Tosi, Valerio Cambareri, Vladimir Zlokolica, Stefano Mattoccia
2025	J	`jnl`	DINO-SLAM: DINO-informed RGB-D SLAM for Neural Implicit and Explicit Representations. CoRR Ziren Gong, Xiaohan Li, Fabio Tosi, Youmin Zhang, Stefano Mattoccia, Jun Wu, Matteo Poggi
2025	J	`jnl`	Depth AnyEvent: A Cross-Modal Distillation Paradigm for Event-Based Monocular Depth Estimation. CoRR Luca Bartolomei, Enrico Mannocci, Fabio Tosi, Matteo Poggi, Stefano Mattoccia
2025	A*	`conf`	Drive with the Flow. ICRA Enrico Mannocci, Matteo Poggi, Stefano Mattoccia
2025	A*	`conf`	HS-SLAM: Hybrid Representation with Structural Supervision for Improved Dense SLAM. ICRA Ziren Gong, Fabio Tosi, Youmin Zhang, Stefano Mattoccia, Matteo Poggi
2025	J	`jnl`	HS-SLAM: Hybrid Representation with Structural Supervision for Improved Dense SLAM. CoRR Ziren Gong, Fabio Tosi, Youmin Zhang, Stefano Mattoccia, Matteo Poggi
2025	J	`jnl`	Learnable Fractional Reaction-Diffusion Dynamics for Under-Display ToF Imaging and Beyond. CoRR Xin Qiao, Matteo Poggi, Xing Wei, Pengchao Deng, Yanhui Zhou, Stefano Mattoccia
2025	—	`conf`	NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces. CVPR Workshops Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Zhe Zhang, Yang Yang, Wu Chen, Anlong Ming, Mingshuai Zhao, Mengying Yu, Shida Gao, Xiangfeng Wang, Feng Xue, Jun Shi, Yong Yang, Yong A, Yixiang Jin, Dingzhe Li, Aryan Shukla, Liam Frija-Altarac, Matthew Toews, Hui Geng, Tianjiao Wan, Zijian Gao, Qisheng Xu, Kele Xu, Zijian Zang, Jameer Babu Pinjari, Kuldeep Purohit, Mykola Lavreniuk, Jing Cao, Shenyi Li, Kui Jiang, Junjun Jiang, Yong Huang
2025	J	`jnl`	NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces. CoRR Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Zhe Zhang, Yang Yang, Wu Chen, Anlong Ming, Mingshuai Zhao, Mengying Yu, Shida Gao, Xiangfeng Wang, Feng Xue, Jun Shi, Yong Yang, Yong A, Yixiang Jin, Dingzhe Li, Aryan Shukla, Liam Frija-Altarac, Matthew Toews, Hui Geng, Tianjiao Wan, Zijian Gao, Qisheng Xu, Kele Xu, Zijian Zang, Jameer Babu Pinjari, Kuldeep Purohit, Mykola Lavreniuk, Jing Cao, Shenyi Li, Kui Jiang, Junjun Jiang, Yong Huang
2025	J	`jnl`	Ov3R: Open-Vocabulary Semantic 3D Reconstruction from RGB Videos. CoRR Ziren Gong, Xiaohan Li, Fabio Tosi, Jiawei Han, Stefano Mattoccia, Jianfei Cai, Matteo Poggi
2025	A	`conf`	Self-supervised Monocular Depth Estimation for Dynamic Objects with Ground Propagation. IROS Huan Li, Matteo Poggi, Fabio Tosi, Stefano Mattoccia
2025	J	`jnl`	Stereo 3D Gaussian Splatting SLAM for Outdoor Urban Scenes. CoRR Xiaohan Li, Ziren Gong, Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Dong Liu, Jun Wu
2025	A*	`conf`	Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail. CVPR Luca Bartolomei, Fabio Tosi, Matteo Poggi, Stefano Mattoccia
2025	J	`jnl`	ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration. CoRR Andrea Conti, Matteo Poggi, Valerio Cambareri, Martin R. Oswald, Stefano Mattoccia
2025	Misc	`conf`	Zero-Shot Neural Architecture Search for Efficient Deep Stereo Matching. ICIAP Alessio Mingozzi, Stefano Mattoccia, Matteo Poggi, Fatma Güney
2024	J	`jnl`	Booster: A Benchmark for Depth From Images of Specular and Transparent Surfaces. IEEE Trans. Pattern Anal. Mach. Intell. Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
2024	—	`conf`	Depth on Demand: Streaming Dense Depth from a Low Frame Rate Active Sensor. ECCV (61) Andrea Conti, Matteo Poggi, Valerio Cambareri, Stefano Mattoccia
2024	J	`jnl`	Depth on Demand: Streaming Dense Depth from a Low Frame Rate Active Sensor. CoRR Andrea Conti, Matteo Poggi, Valerio Cambareri, Stefano Mattoccia
2024	A	`conf`	Exploring Few-Beam LiDAR Assistance in Self-Supervised Multi-Frame Depth Estimation. IROS Rizhao Fan, Matteo Poggi, Stefano Mattoccia
2024	J	`jnl`	Guest Editorial: Special Issue on Traditional Computer Vision in the Age of Deep Learning. Int. J. Comput. Vis. Matteo Poggi, Federica Arrigoni, Andrea Fusiello, Stefano Mattoccia, Adrien Bartoli, Torsten Sattler, Tomás Pajdla
2024	J	`jnl`	How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey. CoRR Fabio Tosi, Youmin Zhang, Ziren Gong, Erik Sandström, Stefano Mattoccia, Martin R. Oswald, Matteo Poggi
2024	—	`conf`	LiDAR-Event Stereo Fusion with Hallucinations. ECCV (6) Luca Bartolomei, Matteo Poggi, Andrea Conti, Stefano Mattoccia
2024	J	`jnl`	LiDAR-Event Stereo Fusion with Hallucinations. CoRR Luca Bartolomei, Matteo Poggi, Andrea Conti, Stefano Mattoccia
2024	—	`conf`	NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces. CVPR Workshops 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
2024	J	`jnl`	Neural Disparity Refinement. IEEE Trans. Pattern Anal. Mach. Intell. Fabio Tosi, Filippo Aleotti, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
2024	J	`jnl`	RGB Guided ToF Imaging System: A Survey of Deep Learning-Based Methods. Int. J. Comput. Vis. Xin Qiao, Matteo Poggi, Pengchao Deng, Hao Wei, Chenyang Ge, Stefano Mattoccia
2024	J	`jnl`	RGB Guided ToF Imaging System: A Survey of Deep Learning-based Methods. CoRR Xin Qiao, Matteo Poggi, Pengchao Deng, Hao Wei, Chenyang Ge, Stefano Mattoccia
2024	J	`jnl`	Range-Agnostic Multi-View Depth Estimation With Keyframe Selection. CoRR Andrea Conti, Matteo Poggi, Valerio Cambareri, Stefano Mattoccia
2024	—	`conf`	Range-Agnostic Multi-View Depth Estimation with Keyframe Selection. 3DV Andrea Conti, Matteo Poggi, Valerio Cambareri, Stefano Mattoccia
2024	—	`conf`	Revisiting Depth Completion from a Stereo Matching Perspective for Cross-domain Generalization. 3DV Luca Bartolomei, Matteo Poggi, Andrea Conti, Fabio Tosi, Stefano Mattoccia
2024	J	`jnl`	Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail. CoRR Luca Bartolomei, Fabio Tosi, Matteo Poggi, Stefano Mattoccia
2024	J	`jnl`	Stereo-Depth Fusion through Virtual Pattern Projection. CoRR Luca Bartolomei, Matteo Poggi, Fabio Tosi, Andrea Conti, Stefano Mattoccia
2023	A*	`conf`	Active Stereo Without Pattern Projector. ICCV Luca Bartolomei, Matteo Poggi, Fabio Tosi, Andrea Conti, Stefano Mattoccia
2023	J	`jnl`	Active Stereo Without Pattern Projector. CoRR Luca Bartolomei, Matteo Poggi, Fabio Tosi, Andrea Conti, Stefano Mattoccia
2023	J	`jnl`	Booster: a Benchmark for Depth from Images of Specular and Transparent Surfaces. CoRR Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
2023	A*	`conf`	CompletionFormer: Depth Completion with Convolutions and Vision Transformers. CVPR Youmin Zhang, Xianda Guo, Matteo Poggi, Zheng Zhu, Guan Huang, Stefano Mattoccia
2023	J	`jnl`	CompletionFormer: Depth Completion with Convolutions and Vision Transformers. CoRR Youmin Zhang, Xianda Guo, Matteo Poggi, Zheng Zhu, Guan Huang, Stefano Mattoccia
2023	—	`conf`	Contrastive Learning for Depth Prediction. CVPR Workshops Rizhao Fan, Matteo Poggi, Stefano Mattoccia
2023	J	`jnl`	Depth Restoration in Under-Display Time-of-Flight Imaging. IEEE Trans. Pattern Anal. Mach. Intell. Xin Qiao, Chenyang Ge, Pengchao Deng, Hao Wei, Matteo Poggi, Stefano Mattoccia
2023	J	`jnl`	Depth Super-Resolution from Explicit and Implicit High-Frequency Features. CoRR Xin Qiao, Chenyang Ge, Youmin Zhang, Yanhui Zhou, Fabio Tosi, Matteo Poggi, Stefano Mattoccia
2023	J	`jnl`	Depth super-resolution from explicit and implicit high-frequency features. Comput. Vis. Image Underst. Xin Qiao, Chenyang Ge, Youmin Zhang, Yanhui Zhou, Fabio Tosi, Matteo Poggi, Stefano Mattoccia
2023	A*	`conf`	GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction. ICCV Youmin Zhang, Fabio Tosi, Stefano Mattoccia, Matteo Poggi
2023	J	`jnl`	GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction. CoRR Youmin Zhang, Fabio Tosi, Stefano Mattoccia, Matteo Poggi
2023	A*	`conf`	GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes. ICCV Chaoqiang Zhao, Matteo Poggi, Fabio Tosi, Lei Zhou, Qiyu Sun, Yang Tang, Stefano Mattoccia
2023	J	`jnl`	GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes. CoRR Chaoqiang Zhao, Matteo Poggi, Fabio Tosi, Lei Zhou, Qiyu Sun, Yang Tang, Stefano Mattoccia
2023	A*	`conf`	Learning Depth Estimation for Transparent and Mirror Surfaces. ICCV Alex Costanzino, Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano
2023	J	`jnl`	Learning Depth Estimation for Transparent and Mirror Surfaces. CoRR Alex Costanzino, Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano
2023	A	`conf`	Lightweight Self-Supervised Depth Estimation with few-beams LiDAR Data. BMVC Rizhao Fan, Fabio Tosi, Matteo Poggi, Stefano Mattoccia
2023	—	`conf`	NTIRE 2023 Challenge on HR Depth from Images of Specular and Transparent Surfaces. CVPR Workshops 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
2023	A	`conf`	On-Site Adaptation for Monocular Depth Estimation with a Static Camera. BMVC Huan Li, Matteo Poggi, Fabio Tosi, Stefano Mattoccia
2023	J	`jnl`	Revisiting Depth Completion from a Stereo Matching Perspective for Cross-domain Generalization. CoRR Luca Bartolomei, Matteo Poggi, Andrea Conti, Fabio Tosi, Stefano Mattoccia
2023	J	`jnl`	Self-supervised depth super-resolution with contrastive multiview pre-training. Neural Networks Xin Qiao, Chenyang Ge, Chaoqiang Zhao, Fabio Tosi, Matteo Poggi, Stefano Mattoccia
2023	A	`conf`	Sparsity Agnostic Depth Completion. WACV Andrea Conti, Matteo Poggi, Stefano Mattoccia
2023	A	`conf`	TemporalStereo: Efficient Spatial-Temporal Stereo Matching Network. IROS Youmin Zhang, Matteo Poggi, Stefano Mattoccia
2023	—	`conf`	The Monocular Depth Estimation Challenge. WACV (Workshops) Jaime Spencer, C. Stella Qian, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Heng Cong, Stefano Mattoccia, Matteo Poggi, Zeeshan Khan Suri, Yang Tang, Fabio Tosi, Hao Wang, Youmin Zhang, Yusheng Zhang, Chaoqiang Zhao
2023	—	`conf`	The Second Monocular Depth Estimation Challenge. CVPR Workshops Jaime Spencer, C. Stella Qian, Michaela Trescakova, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Ali Anwar, Hao Chen, Xiaozhi Chen, Kai Cheng, Yuchao Dai, Huynh Thai Hoa, Sadat Hossain, Jianmian Huang, Mohan Jing, Bo Li, Chao Li, Baojun Li, Zhiwen Liu, Stefano Mattoccia, Siegfried Mercelis, Myungwoo Nam, Matteo Poggi, Xiaohua Qi, Jiahui Ren, Yang Tang, Fabio Tosi, Linh Trinh, S. M. Nadim Uddin, Khan Muhammad Umair, Kaixuan Wang, Yufei Wang, Yixing Wang, Mochu Xiang, Guangkai Xu, Wei Yin, Jun Yu, Qi Zhang, Chaoqiang Zhao
2023	J	`jnl`	The Second Monocular Depth Estimation Challenge. CoRR Jaime Spencer, C. Stella Qian, Michaela Trescakova, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Ali Anwar, Hao Chen, Xiaozhi Chen, Kai Cheng, Yuchao Dai, Huynh Thai Hoa, Sadat Hossain, Jianmian Huang, Mohan Jing, Bo Li, Chao Li, Baojun Li, Zhiwen Liu, Stefano Mattoccia, Siegfried Mercelis, Myungwoo Nam, Matteo Poggi, Xiaohua Qi, Jiahui Ren, Yang Tang, Fabio Tosi, Linh Trinh, S. M. Nadim Uddin, Khan Muhammad Umair, Kaixuan Wang, Yufei Wang, Yixing Wang, Mochu Xiang, Guangkai Xu, Wei Yin, Jun Yu, Qi Zhang, Chaoqiang Zhao
2022	A	`conf`	A Cascade Dense Connection Fusion Network for Depth Completion. BMVC Rizhao Fan, Zhigen Li, Matteo Poggi, Stefano Mattoccia
2022	J	`jnl`	Continual Adaptation for Deep Stereo. IEEE Trans. Pattern Anal. Mach. Intell. Matteo Poggi, Alessio Tonioni, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano
2022	—	`conf`	Cross-Spectral Neural Radiance Fields. 3DV Matteo Poggi, Pierluigi Zama Ramirez, Fabio Tosi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
2022	J	`jnl`	Cross-Spectral Neural Radiance Fields. CoRR Matteo Poggi, Pierluigi Zama Ramirez, Fabio Tosi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
2022	J	`jnl`	Energy-Quality Scalable Monocular Depth Estimation on Low-Power CPUs. IEEE Internet Things J. Antonio Cipolletta, Valentino Peluso, Andrea Calimera, Matteo Poggi, Fabio Tosi, Filippo Aleotti, Stefano Mattoccia
2022	A*	`conf`	Meta-confidence estimation for stereo matching. ICRA Seungryong Kim, Matteo Poggi, Sunok Kim, Kwanghoon Sohn, Stefano Mattoccia
2022	J	`jnl`	Monitoring Social Distancing With Single Image Depth Estimation. IEEE Trans. Emerg. Top. Comput. Intell. Alessio Mingozzi, Andrea Conti, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia
2022	J	`jnl`	Monitoring social distancing with single image depth estimation. CoRR Alessio Mingozzi, Andrea Conti, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia
2022	—	`conf`	MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer. 3DV Chaoqiang Zhao, Youmin Zhang, Matteo Poggi, Fabio Tosi, Xianda Guo, Zheng Zhu, Guan Huang, Yang Tang, Stefano Mattoccia
2022	J	`jnl`	MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer. CoRR Chaoqiang Zhao, Youmin Zhang, Matteo Poggi, Fabio Tosi, Xianda Guo, Zheng Zhu, Guan Huang, Yang Tang, Stefano Mattoccia
2022	J	`jnl`	Monocular Depth Perception on Microcontrollers for Edge Applications. IEEE Trans. Circuits Syst. Video Technol. Valentino Peluso, Antonio Cipolletta, Andrea Calimera, Matteo Poggi, Fabio Tosi, Filippo Aleotti, Stefano Mattoccia
2022	A	`conf`	Multi-View Guided Multi-View Stereo. IROS Matteo Poggi, Andrea Conti, Stefano Mattoccia
2022	J	`jnl`	Multi-View Guided Multi-View Stereo. CoRR Matteo Poggi, Andrea Conti, Stefano Mattoccia
2022	J	`jnl`	On the Confidence of Stereo Matching in a Deep-Learning Era: A Quantitative Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. Matteo Poggi, Seungryong Kim, Fabio Tosi, Sunok Kim, Filippo Aleotti, Dongbo Min, Kwanghoon Sohn, Stefano Mattoccia
2022	J	`jnl`	On the Synergies Between Machine Learning and Binocular Stereo for Depth Estimation From Images: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. Matteo Poggi, Fabio Tosi, Konstantinos Batsos, Philippos Mordohai, Stefano Mattoccia
2022	A*	`conf`	Open Challenges in Deep Stereo: the Booster Dataset. CVPR Pierluigi Zama Ramirez, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
2022	J	`jnl`	Open Challenges in Deep Stereo: the Booster Dataset. CoRR Pierluigi Zama Ramirez, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
2022	A*	`conf`	RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation. CVPR Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
2022	J	`jnl`	RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation. CoRR Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
2022	J	`jnl`	Real-Time Self-Supervised Monocular Depth Estimation Without GPU. IEEE Trans. Intell. Transp. Syst. Matteo Poggi, Fabio Tosi, Filippo Aleotti, Stefano Mattoccia
2022	J	`jnl`	Sparsity Agnostic Depth Completion. CoRR Andrea Conti, Matteo Poggi, Stefano Mattoccia
2022	J	`jnl`	TemporalStereo: Efficient Spatial-Temporal Stereo Matching Network. CoRR Youmin Zhang, Matteo Poggi, Stefano Mattoccia
2022	J	`jnl`	The Monocular Depth Estimation Challenge. CoRR Jaime Spencer, C. Stella Qian, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Heng Cong, Stefano Mattoccia, Matteo Poggi, Zeeshan Khan Suri, Yang Tang, Fabio Tosi, Hao Wang, Youmin Zhang, Yusheng Zhang, Chaoqiang Zhao
2022	A	`conf`	Unsupervised confidence for LiDAR depth maps and applications. IROS Andrea Conti, Matteo Poggi, Filippo Aleotti, Stefano Mattoccia
2022	J	`jnl`	Unsupervised confidence for LiDAR depth maps and applications. CoRR Andrea Conti, Matteo Poggi, Filippo Aleotti, Stefano Mattoccia
2021	J	`jnl`	A computer vision approach based on deep learning for the detection of dairy cows in free stall barn. Comput. Electron. Agric. 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
2021	J	`jnl`	Beyond the Baseline: 3D Reconstruction of Tiny Objects With Single Camera Stereo Robot. IEEE Access Daniele De Gregorio, Matteo Poggi, Pierluigi Zama Ramirez, Gianluca Palli, Stefano Mattoccia, Luigi Di Stefano
2021	A*	`conf`	Learning Optical Flow From Still Images. CVPR Filippo Aleotti, Matteo Poggi, Stefano Mattoccia
2021	J	`jnl`	Learning optical flow from still images. CoRR Filippo Aleotti, Matteo Poggi, Stefano Mattoccia
2021	—	`conf`	Neural Disparity Refinement for Arbitrary Resolution Stereo. 3DV Filippo Aleotti, Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
2021	J	`jnl`	Neural Disparity Refinement for Arbitrary Resolution Stereo. CoRR Filippo Aleotti, Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
2021	J	`jnl`	On the confidence of stereo matching in a deep-learning era: a quantitative evaluation. CoRR Matteo Poggi, Seungryong Kim, Fabio Tosi, Sunok Kim, Filippo Aleotti, Dongbo Min, Kwanghoon Sohn, Stefano Mattoccia
2021	J	`jnl`	Real-Time Single Image Depth Perception in the Wild with Handheld Devices. Sensors Filippo Aleotti, Giulio Zaccaroni, Luca Bartolomei, Matteo Poggi, Fabio Tosi, Stefano Mattoccia
2021	A*	`conf`	Sensor-Guided Optical Flow. ICCV Matteo Poggi, Filippo Aleotti, Stefano Mattoccia
2021	J	`jnl`	Sensor-Guided Optical Flow. CoRR Matteo Poggi, Filippo Aleotti, Stefano Mattoccia
2020	J	`jnl`	Continual Adaptation for Deep Stereo. CoRR Matteo Poggi, Alessio Tonioni, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano
2020	A*	`conf`	Distilled Semantics for Comprehensive Scene Understanding from Videos. CVPR Fabio Tosi, Filippo Aleotti, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Luigi Di Stefano, Stefano Mattoccia
2020	J	`jnl`	Distilled Semantics for Comprehensive Scene Understanding from Videos. CoRR Fabio Tosi, Filippo Aleotti, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Luigi Di Stefano, Stefano Mattoccia
2020	J	`jnl`	Enabling Image-Based Streamflow Monitoring at the Edge. Remote. Sens. Fabio Tosi, Matteo Rocca, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia, Flavia Tauro, Elena Toth, Salvatore Grimaldi
2020	—	`conf`	Enabling monocular depth perception at the very edge. CVPR Workshops Valentino Peluso, Antonio Cipolletta, Andrea Calimera, Matteo Poggi, Fabio Tosi, Filippo Aleotti, Stefano Mattoccia
2020	A*	`conf`	Learning End-to-End Scene Flow by Distilling Single Tasks Knowledge. AAAI Filippo Aleotti, Matteo Poggi, Fabio Tosi, Stefano Mattoccia
2020	J	`jnl`	Learning a confidence measure in the disparity domain from O(1) features. Comput. Vis. Image Underst. Matteo Poggi, Fabio Tosi, Stefano Mattoccia
2020	B	`conf`	Leveraging a weakly adversarial paradigm for joint learning of disparity and confidence estimation. ICPR Matteo Poggi, Fabio Tosi, Filippo Aleotti, Stefano Mattoccia
2020	—	`conf`	Matching-space Stereo Networks for Cross-domain Generalization. 3DV Changjiang Cai, Matteo Poggi, Stefano Mattoccia, Philippos Mordohai
2020	J	`jnl`	Matching-space Stereo Networks for Cross-domain Generalization. CoRR Changjiang Cai, Matteo Poggi, Stefano Mattoccia, Philippos Mordohai
2020	J	`jnl`	On the Synergies between Machine Learning and Stereo: a Survey. CoRR Matteo Poggi, Fabio Tosi, Konstantinos Batsos, Philippos Mordohai, Stefano Mattoccia
2020	A*	`conf`	On the Uncertainty of Self-Supervised Monocular Depth Estimation. CVPR Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia
2020	J	`jnl`	On the uncertainty of self-supervised monocular depth estimation. CoRR Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia
2020	A*	`conf`	Real-Time Semantic Stereo Matching. ICRA Pier Luigi Dovesi, Matteo Poggi, Lorenzo Andraghetti, Miquel Martí, Hedvig Kjellström, Alessandro Pieropan, Stefano Mattoccia
2020	J	`jnl`	Real-time single image depth perception in the wild with handheld devices. CoRR Filippo Aleotti, Giulio Zaccaroni, Luca Bartolomei, Matteo Poggi, Fabio Tosi, Stefano Mattoccia
2020	—	`conf`	Reversing the Cycle: Self-supervised Deep Stereo Through Enhanced Monocular Distillation. ECCV (11) Filippo Aleotti, Fabio Tosi, Li Zhang, Matteo Poggi, Stefano Mattoccia
2020	J	`jnl`	Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation. CoRR Filippo Aleotti, Fabio Tosi, Li Zhang, Matteo Poggi, Stefano Mattoccia
2020	—	`conf`	Self-adapting Confidence Estimation for Stereo. ECCV (24) Matteo Poggi, Filippo Aleotti, Fabio Tosi, Giulio Zaccaroni, Stefano Mattoccia
2020	J	`jnl`	Self-adapting confidence estimation for stereo. CoRR Matteo Poggi, Filippo Aleotti, Fabio Tosi, Giulio Zaccaroni, Stefano Mattoccia
2020	J	`jnl`	Unsupervised Domain Adaptation for Depth Prediction from Images. IEEE Trans. Pattern Anal. Mach. Intell. Alessio Tonioni, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano
2019	A	`conf`	Enabling Energy-Efficient Unsupervised Monocular Depth Estimation on ARMv7-Based Platforms. DATE Valentino Peluso, Antonio Cipolletta, Andrea Calimera, Matteo Poggi, Fabio Tosi, Stefano Mattoccia
2019	—	`conf`	Enhancing Self-Supervised Monocular Depth Estimation with Traditional Visual Odometry. 3DV Lorenzo Andraghetti, Panteleimon Myriokefalitakis, Pier Luigi Dovesi, Belén Luque, Matteo Poggi, Alessandro Pieropan, Stefano Mattoccia
2019	J	`jnl`	Enhancing self-supervised monocular depth estimationwith traditional visual odometry. CoRR Lorenzo Andraghetti, Panteleimon Myriokefalitakis, Pier Luigi Dovesi, Belén Luque, Matteo Poggi, Alessandro Pieropan, Stefano Mattoccia
2019	A*	`conf`	Guided Stereo Matching. CVPR Matteo Poggi, Davide Pallotti, Fabio Tosi, Stefano Mattoccia
2019	J	`jnl`	Guided Stereo Matching. CoRR Matteo Poggi, Davide Pallotti, Fabio Tosi, Stefano Mattoccia
2019	J	`jnl`	Learning End-To-End Scene Flow by Distilling Single Tasks Knowledge. CoRR Filippo Aleotti, Matteo Poggi, Fabio Tosi, Stefano Mattoccia
2019	A*	`conf`	Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge. CVPR Fabio Tosi, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia
2019	J	`jnl`	Learning monocular depth estimation infusing traditional stereo knowledge. CoRR Fabio Tosi, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia
2019	—	`conf`	Leveraging Confident Points for Accurate Depth Refinement on Embedded Systems. CVPR Workshops Fabio Tosi, Matteo Poggi, Stefano Mattoccia
2019	A*	`conf`	Real-Time Self-Adaptive Deep Stereo. CVPR Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano
2019	J	`jnl`	Real-Time Semantic Stereo Matching. CoRR Pier Luigi Dovesi, Matteo Poggi, Lorenzo Andraghetti, Miquel Martí, Hedvig Kjellström, Alessandro Pieropan, Stefano Mattoccia
2019	J	`jnl`	Unsupervised Domain Adaptation for Depth Prediction from Images. CoRR Alessio Tonioni, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano
2018	—	`conf`	Beyond Local Reasoning for Stereo Confidence Estimation with Deep Learning. ECCV (6) Fabio Tosi, Matteo Poggi, Antonio Benincasa, Stefano Mattoccia
2018	—	`conf`	Generative Adversarial Networks for Unsupervised Monocular Depth Prediction. ECCV Workshops (1) Filippo Aleotti, Fabio Tosi, Matteo Poggi, Stefano Mattoccia
2018	—	`conf`	Geometry Meets Semantics for Semi-supervised Monocular Depth Estimation. ACCV (3) Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano
2018	J	`jnl`	Geometry meets semantics for semi-supervised monocular depth estimation. CoRR Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano
2018	J	`jnl`	Guest Editorial: Special Issue on Embedded Computer Vision. J. Signal Process. Syst. Stefano Mattoccia, Branislav Kisacanin, Margrit Gelautz, Sek M. Chai, Ahmed Nabil Belbachir, Goksel Dedeoglu, Fridtjof Stein
2018	—	`conf`	KCNN: Extremely-Efficient Hardware Keypoint Detection With a Compact Convolutional Neural Network. CVPR Workshops Paolo Di Febbo, Carlo Dal Mutto, Kinh Tieu, Stefano Mattoccia
2018	—	`conf`	Learning Monocular Depth Estimation with Unsupervised Trinocular Assumptions. 3DV Matteo Poggi, Fabio Tosi, Stefano Mattoccia
2018	J	`jnl`	Learning monocular depth estimation with unsupervised trinocular assumptions. CoRR Matteo Poggi, Fabio Tosi, Stefano Mattoccia
2018	J	`jnl`	Optical Tracking Velocimetry (OTV): Leveraging Optical Flow and Trajectory-Based Filtering for Surface Streamflow Observations. Remote. Sens. Flavia Tauro, Fabio Tosi, Stefano Mattoccia, Elena Toth, Rodolfo Piscopia, Salvatore Grimaldi
2018	J	`jnl`	Real-time self-adaptive deep stereo. CoRR Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano
2018	A	`conf`	Towards Real-Time Unsupervised Monocular Depth Estimation on CPU. IROS Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia
2018	J	`jnl`	Towards real-time unsupervised monocular depth estimation on CPU. CoRR Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia
2017	—	`conf`	Efficient Confidence Measures for Embedded Stereo. ICIAP (1) Matteo Poggi, Fabio Tosi, Stefano Mattoccia
2017	—	`conf`	Even More Confident Predictions with Deep Machine-Learning. CVPR Workshops Matteo Poggi, Fabio Tosi, Stefano Mattoccia
2017	A	`conf`	Learning confidence measures in the wild. BMVC Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Alessio Tonioni, Luigi Di Stefano
2017	A*	`conf`	Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps. CVPR Matteo Poggi, Stefano Mattoccia
2017	A*	`conf`	Quantitative Evaluation of Confidence Measures in a Machine Learning World. ICCV Matteo Poggi, Fabio Tosi, Stefano Mattoccia
2017	A*	`conf`	Unsupervised Adaptation for Deep Stereo. ICCV Alessio Tonioni, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano
2016	C	`conf`	A wearable mobility aid for the visually impaired based on embedded 3D vision and deep learning. ISCC Matteo Poggi, Stefano Mattoccia
2016	—	`conf`	Deep Stereo Fusion: Combining Multiple Disparity Hypotheses with Deep-Learning. 3DV Matteo Poggi, Stefano Mattoccia
2016	—	`conf`	Evaluation of variants of the SGM algorithm aimed at implementation on embedded or reconfigurable devices. IC3D Matteo Poggi, Stefano Mattoccia
2016	—	`conf`	Improving the reliability of 3D people tracking system by means of deep-learning. IC3D Matteo Boschini, Matteo Poggi, Stefano Mattoccia
2016	—	`conf`	Learning a General-Purpose Confidence Measure Based on O(1) Features and a Smarter Aggregation Strategy for Semi Global Matching. 3DV Matteo Poggi, Stefano Mattoccia
2016	A	`conf`	Learning from scratch a confidence measure. BMVC Matteo Poggi, Stefano Mattoccia
2016	J	`jnl`	Real-Time Image Distortion Correction: Analysis and Evaluation of FPGA-Compatible Algorithms. CoRR Paolo Di Febbo, Stefano Mattoccia, Carlo Dal Mutto
2016	—	`conf`	Real-time image distortion correction: Analysis and evaluation of FPGA-compatible algorithms. ReConFig Paolo Di Febbo, Stefano Mattoccia, Carlo Dal Mutto
2016	—	`conf`	Reliable Fusion of ToF and Stereo Depth Driven by Confidence Measures. ECCV (7) Giulio Marin, Pietro Zanuttigh, Stefano Mattoccia
2015	—	`conf`	A passive RGBD sensor for accurate and real-time depth sensing self-contained into an FPGA. ICDSC Stefano Mattoccia, Matteo Poggi
2015	—	`conf`	Crosswalk Recognition Through Point-Cloud Processing and Deep-Learning Suited to a Wearable Mobility Aid for the Visually Impaired. ICIAP Workshops Matteo Poggi, Luca Nanni, Stefano Mattoccia
2014	—	`conf`	3D Glasses as Mobility Aid for Visually Impaired People. ECCV Workshops (3) Stefano Mattoccia, Paolo Macri
2014	—	`conf`	A Compact 3D Camera Suited for Mobile and Embedded Vision Applications. CVPR Workshops Stefano Mattoccia, Ilario Marchio, Marco Casadio
2014	—	`conf`	A Real Time 3D Sensor for Smart Cameras. ICDSC Stefano Mattoccia, Paolo Macri
2014	—	`conf`	A compact, lightweight and energy efficient system for autonomous navigation based on 3D vision. MESA Stefano Mattoccia, Paolo Macri, Giacomo Parmigiani, Giuseppe Rizza
2014	—	`conf`	Real-time tracking with an embedded 3D camera with FPGA processing. IC3D Alessandro Muscoloni, Stefano Mattoccia
2013	—	`conf`	Stereo Vision Algorithms for FPGAs. CVPR Workshops Stefano Mattoccia
2012	J	`jnl`	Introduction to the Issue on Emerging Techniques in 3-D. IEEE J. Sel. Top. Signal Process. A. Aydin Alatan, Jörn Ostermann, Levent Onural, Ghassan AlRegib, Stefano Mattoccia, Chunrong Yuan
2012	—	`conf`	Locally Consistent ToF and Stereo Data Fusion. ECCV Workshops (1) Carlo Dal Mutto, Pietro Zanuttigh, Stefano Mattoccia, Guido Maria Cortelazzo
2012	J	`jnl`	Performance Evaluation of Full Search Equivalent Pattern Matching Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. Wanli Ouyang, Federico Tombari, Stefano Mattoccia, Luigi Di Stefano, Wai-kuen Cham
2011	—	`conf`	A fast segmentation-driven algorithm for accurate stereo correspondence. IC3D Stefano Mattoccia, Leonardo De-Maeztu
2011	—	`conf`	Efficient aggregation via iterative block-based adapting support-weights. IC3D Leonardo De-Maeztu, Stefano Mattoccia, Arantxa Villanueva, Rafael Cabeza
2011	J	`jnl`	Efficient template matching for multi-channel images. Pattern Recognit. Lett. Stefano Mattoccia, Federico Tombari, Luigi Di Stefano
2011	A*	`conf`	Linear stereo matching. ICCV Leonardo De-Maeztu, Stefano Mattoccia, Arantxa Villanueva, Rafael Cabeza
2011	—	`conf`	Near real-time Fast Bilateral Stereo on the GPU. CVPR Workshops Stefano Mattoccia, Marco Viti, Florian Ries
2011	—	`conf`	Scene Segmentation Assisted by Stereo Vision. 3DIMPVT Carlo Dal Mutto, Pietro Zanuttigh, Guido M. Cortelazzo, Stefano Mattoccia
2010	C	`conf`	A 3D reconstruction system based on improved spacetime stereo. ICARCV Federico Tombari, Luigi Di Stefano, Stefano Mattoccia, Andrea Mainetti
2010	B	`conf`	Accurate Dense Stereo by Constraining Local Consistency on Superpixels. ICPR Stefano Mattoccia
2010	—	`conf`	Fast locally consistent dense stereo on multicore. CVPR Workshops Stefano Mattoccia
2010	C	`conf`	Stereo for robots: Quantitative evaluation of efficient and low-memory dense stereo algorithms. ICARCV Federico Tombari, Stefano Mattoccia, Luigi Di Stefano
2009	B	`conf`	A Template Analysis Methodology to Improve the Efficiency of Fast Matching Algorithms. ACIVS Federico Tombari, Stefano Mattoccia, Luigi Di Stefano, Fabio Regoli, Riccardo Viti
2009	—	`conf`	A locally global approach to stereo correspondence. ICCV Workshops Stefano Mattoccia
2009	—	`conf`	Accurate and Efficient Cost Aggregation Strategy for Stereo Correspondence Based on Approximated Joint Bilateral Filtering. ACCV (2) Stefano Mattoccia, Simone Giardino, Andrea Gambini
2009	B	`conf`	Enhanced Low-Resolution Pruning for Fast Full-Search Template Matching. ACIVS Stefano Mattoccia, Federico Tombari, Luigi Di Stefano
2009	J	`jnl`	Full-Search-Equivalent Pattern Matching with Incremental Dissimilarity Approximations. IEEE Trans. Pattern Anal. Mach. Intell. Federico Tombari, Stefano Mattoccia, Luigi Di Stefano
2008	B	`conf`	An Evaluation Methodology for Image Mosaicing Algorithms. ACIVS Pietro Azzari, Luigi Di Stefano, Stefano Mattoccia
2008	A*	`conf`	Classification and evaluation of cost aggregation methods for stereo correspondence. CVPR Federico Tombari, Stefano Mattoccia, Luigi Di Stefano, Elisa Addimanda
2008	J	`jnl`	Fast Full-Search Equivalent Template Matching by Enhanced Bounded Correlation. IEEE Trans. Image Process. Stefano Mattoccia, Federico Tombari, Luigi Di Stefano
2008	B	`conf`	Graffiti Detection Using a Time-Of-Flight Camera. ACIVS Federico Tombari, Luigi Di Stefano, Stefano Mattoccia, Andrea Zanetti
2008	C	`conf`	Markerless Augmented Reality Using Image Mosaics. ICISP Pietro Azzari, Luigi Di Stefano, Federico Tombari, Stefano Mattoccia
2008	B	`conf`	Multi-view Access Monitoring and Singularization in Interlocks. AVSS Luigi Di Stefano, Federico Tombari, Stefano Mattoccia, Matteo Balasso
2008	B	`conf`	Near real-time stereo based on effective cost aggregation. ICPR Federico Tombari, Stefano Mattoccia, Luigi Di Stefano, Elisa Addimanda
2008	—	`conf`	Performance Evaluation of Robust Matching Measures. VISAPP (1) Federico Tombari, Luigi Di Stefano, Stefano Mattoccia, Angelo Galanti
2008	B	`conf`	Reliable rejection of mismatching candidates for efficient ZNCC template matching. ICIP Stefano Mattoccia, Federico Tombari, Luigi Di Stefano
2007	Misc	`conf`	A robust measure for visual correspondence. ICIAP Federico Tombari, Luigi Di Stefano, Stefano Mattoccia
2007	Misc	`conf`	Efficient and optimal block matching for motion estimation. ICIAP Stefano Mattoccia, Federico Tombari, Luigi Di Stefano, Marco Pignoloni
2007	C	`conf`	Segmentation-Based Adaptive Support for Accurate Stereo Correspondence. PSIVT Federico Tombari, Stefano Mattoccia, Luigi Di Stefano
2007	—	`conf`	Stereo Vision Enabling Precise Border Localization Within a Scanline Optimization Framework. ACCV (2) Stefano Mattoccia, Federico Tombari, Luigi Di Stefano
2006	B	`conf`	Template Matching Based on the L_p Norm Using Sufficient Conditions with Incremental Approximations. AVSS Federico Tombari, Stefano Mattoccia, Luigi Di Stefano
2005	—	`conf`	Speeding-up NCC-Based Template Matching Using Parallel Multimedia Instructions. CAMP Luigi Di Stefano, Stefano Mattoccia, Federico Tombari
2005	J	`jnl`	ZNCC-based template matching using bounded partial correlation. Pattern Recognit. Lett. Luigi Di Stefano, Stefano Mattoccia, Federico Tombari
2004	—	`conf`	A Change-Detection Algorithm Enabling Intelligent Background Maintenance. ICIAR (2) Luigi Di Stefano, Stefano Mattoccia, Martino Mola
2004	J	`jnl`	A fast area-based stereo matching algorithm. Image Vis. Comput. Luigi Di Stefano, Massimiliano Marchionni, Stefano Mattoccia
2004	—	`conf`	An Algorithm for Efficient and Exhaustive Template Matching. ICIAR (1) Luigi Di Stefano, Stefano Mattoccia, Federico Tombari
2003	B	`conf`	A Change-Detection Algorithm Based on Structure and Colour. AVSS Luigi Di Stefano, Stefano Mattoccia, Martino Mola
2003	—	`conf`	A sufficient condition based on the Cauchy-Schwarz inequality for efficient template matching. ICIP (1) Luigi Di Stefano, Stefano Mattoccia
2003	Misc	`conf`	An efficient algorithm for exhaustive template matching based on normalized cross correlation. ICIAP Luigi Di Stefano, Stefano Mattoccia, Martino Mola
2003	J	`jnl`	Fast template matching using bounded partial correlation. Mach. Vis. Appl. Luigi Di Stefano, Stefano Mattoccia
2002	—	`conf`	Dense Stereo Based on the Uniqueness Constraint. ICPR (3) Luigi Di Stefano, Massimiliano Marchionni, Stefano Mattoccia, Giovanni Neri
2002	C	`conf`	Quantitative evaluation of area-based stereo matching. ICARCV Luigi Di Stefano, Massimiliano Marchionni, Stefano Mattoccia, Giovanni Neri
2002	J	`jnl`	Real-Time Stereo within the VIDET Project. Real Time Imaging Luigi Di Stefano, Stefano Mattoccia
2001	Misc	`conf`	Temporal Filtering of Disparity Measurements. ICIAP Luigi Di Stefano, Stefano Mattoccia, Giovanni Neri, D. Piccinini
2000	—	`conf`	Fast Stereo Matching for the VIDET System using a General Purpose Processor with Multimedia Extensions. CAMP Luigi Di Stefano, Stefano Mattoccia
2000	A*	`conf`	Perception of Depth Information by Means of a Wire-Actuated Haptic Interface. ICRA Paolo Arcara, Luigi Di Stefano, Stefano Mattoccia, Claudio Melchiorri, Gabriele Vassura