About Me

Brief Introduction

Not too much time ago I got a master degree in Computer Engineering, I have been a Research Fellow at the university of Bologna and to date I am a PhD student in Computer Science and Engineering at the University of Bologna.

Alma Mater Studiorum

Bologna, Italy

3D reconstruction leveraging one or more RGB frames and sparse depth information by means of deep learning approaches in real use-case scenarios, funded by Sony Depthsensing Solutions NV.

Alma Mater Studiorum

Bologna, Italy

Research Grant as part of the Alma Value - Proof of Concept program for the enhancement of Alma Mater patents, funded by the Ministry of Economic Development (MISE) and concerning the improvement of the depth maps obtainable from one or more standard cameras by exploiting the availability of scattered depth data for example but not necessarily provided by an active depth sensor.

Alma Mater Studiorum

Bologna, Italy

Focused on Artificial Intelligence and Computer Vision, with a thesis project about monocular depth perception by means of deep learning and optional lidar sensor sparse data.

Alma Mater Studiorum

Bologna, Italy

With the thesis about the application of artificial intelligence techniques to the prediction of the confidence of depth maps.

Publications

2024

Range-Agnostic Multi-View Depth Estimation With Keyframe Selection
Conti Andrea, Poggi Matteo, Cambareri Valerio, Mattoccia Stefano
International Conference on 3D Vision (3DV)

Revisiting Depth Completion from a Stereo Matching Perspective for Cross-Domain Generalization
Bartolomei Luca, Poggi Matteo, Conti Andrea, Tosi Fabio, Mattoccia Stefano
International Conference on 3D Vision (3DV)

2023

Active Stereo Without Pattern Projector
Bartolomei Luca, Poggi Matteo, Tosi Fabio, Conti Andrea, Mattoccia Stefano
IEEE/CVF International Conference on Computer Vision (ICCV)

Sparsity Agnostic Depth Completion
Conti Andrea, Poggi Matteo, Mattoccia Stefano
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Boosting Multi-Modal Unsupervised Domain Adaptation for LiDAR Semantic Segmentation by Self-Supervised Depth Completion
Cardace Adriano, Conti Andrea, Zama Ramirez Pierluigi, Spezialetti Riccardo, Salti Samuele, Di Stefano Luigi. IEEE Access, Vol. 11, pp. 85155-85164

2022

Unsupervised confidence for LiDAR depth maps and applications
Conti Andrea, Aleotti Filippo, Poggi Matteo, Mattoccia Stefano
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Multi-View Guided Multi-View Stereo
Poggi Matteo*, Conti Andrea*, Mattoccia Stefano *joint authorship
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Monitoring social distancing with single image depth estimation
Alessio Mingozzi, Conti Andrea, Aleotti Filippo, Poggi Matteo, Mattoccia Stefano
IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI)

2021

On the Deployment of Out-of-the-Box Embedded Devices for Self-Powered River Surface Flow Velocity Monitoring at the Edge
Livoroi Arsal-Hanif, Conti Andrea, Foianesi Luca, Tosi Fabio, Aleotti Filippo, Poggi Matteo, Tauro Flavia, Toth Elena, Grimaldi Salvatore, and Mattoccia Stefano
MDPI Applied Sciences

About Me

Brief Introduction

Publications

Download my CV