Matteo Poggi

About Matteo Poggi

Matteo Poggi, With an exceptional h-index of 30 and a recent h-index of 27 (since 2020), a distinguished researcher at Università degli Studi di Bologna, specializes in the field of Computer Vision, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

The Third Monocular Depth Estimation Challenge

Guest Editorial: Special Issue on Traditional Computer Vision in the Age of Deep Learning

Building a Comprehensive Dataset for Training Object Detection Algorithms applied on Plastic Transport Monitoring in Riverine Environments

How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey

Range-Agnostic Multi-View Depth Estimation With Keyframe Selection

Revisiting Depth Completion from a Stereo Matching Perspective for Cross-domain Generalization

Depth super-resolution from explicit and implicit high-frequency features

Self-supervised depth super-resolution with contrastive multiview pre-training

Matteo Poggi Information

University

Position

Postdoc

Citations(all)

3116

Citations(since 2020)

2904

Cited By

1093

hIndex(all)

30

hIndex(since 2020)

27

i10Index(all)

46

i10Index(since 2020)

46

Email

University Profile Page

Google Scholar

Matteo Poggi Skills & Research Interests

Computer Vision

Machine Learning

Top articles of Matteo Poggi

Guest Editorial: Special Issue on Traditional Computer Vision in the Age of Deep Learning

2024/4/24

Building a Comprehensive Dataset for Training Object Detection Algorithms applied on Plastic Transport Monitoring in Riverine Environments

2024/3/7

How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey

arXiv preprint arXiv:2402.13255

2024/2/20

Range-Agnostic Multi-View Depth Estimation With Keyframe Selection

arXiv preprint arXiv:2401.14401

2024/1/25

Matteo Poggi
Matteo Poggi

H-Index: 19

Stefano Mattoccia
Stefano Mattoccia

H-Index: 28

Revisiting Depth Completion from a Stereo Matching Perspective for Cross-domain Generalization

arXiv preprint arXiv:2312.09254

2023/12/14

Depth super-resolution from explicit and implicit high-frequency features

Computer Vision and Image Understanding

2023/12/1

Self-supervised depth super-resolution with contrastive multiview pre-training

Neural Networks

2023/11/1

Booster: a benchmark for depth from images of specular and transparent surfaces

IEEE Transactions on Pattern Analysis and Machine Intelligence

2023/10/11

Depth self-supervision for single image novel view synthesis

2023/10/1

Matteo Poggi
Matteo Poggi

H-Index: 19

Samuele Salti
Samuele Salti

H-Index: 15

Temporalstereo: Efficient spatial-temporal stereo matching network

2023/10/1

To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation

arXiv e-prints

2023/7

The second monocular depth estimation challenge: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

2023/6/17

On-Site Adaptation for Monocular Depth Estimation with a Static Camera

2023

Lightweight Self-Supervised Depth Estimation with few-beams LiDAR Data

2023

GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes

2023

Active stereo without pattern projector

2023

Go-slam: Global optimization for consistent 3d instant reconstruction

2023

See List of Professors in Matteo Poggi University(Università degli Studi di Bologna)

Co-Authors

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