Andrea Conti

According to our database, Andrea Conti authored at least 11 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Stereo-Depth Fusion through Virtual Pattern Projection.

Luca Bartolomei, Matteo Poggi, Fabio Tosi, Andrea Conti, Stefano Mattoccia

CoRR, 2024

Depth on Demand: Streaming Dense Depth from a Low Frame Rate Active Sensor.

Andrea Conti, Matteo Poggi, Valerio Cambareri, Stefano Mattoccia

Proceedings of the Computer Vision - ECCV 2024, 2024

LiDAR-Event Stereo Fusion with Hallucinations.

Luca Bartolomei, Matteo Poggi, Andrea Conti, Stefano Mattoccia

Proceedings of the Computer Vision - ECCV 2024, 2024

Range-Agnostic Multi-View Depth Estimation with Keyframe Selection.

Andrea Conti, Matteo Poggi, Valerio Cambareri, Stefano Mattoccia

Proceedings of the International Conference on 3D Vision, 2024

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

Luca Bartolomei, Matteo Poggi, Andrea Conti, Fabio Tosi, Stefano Mattoccia

Proceedings of the International Conference on 3D Vision, 2024

2023

Boosting Multi-Modal Unsupervised Domain Adaptation for LiDAR Semantic Segmentation by Self-Supervised Depth Completion.

Adriano Cardace, Andrea Conti, Pierluigi Zama Ramirez, Riccardo Spezialetti, Samuele Salti, Luigi Di Stefano

IEEE Access, 2023

Sparsity Agnostic Depth Completion.

Andrea Conti, Matteo Poggi, Stefano Mattoccia

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Active Stereo Without Pattern Projector.

Luca Bartolomei, Matteo Poggi, Fabio Tosi, Andrea Conti, Stefano Mattoccia

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Monitoring Social Distancing With Single Image Depth Estimation.

Alessio Mingozzi, Andrea Conti, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia

IEEE Trans. Emerg. Top. Comput. Intell., 2022

Multi-View Guided Multi-View Stereo.

Matteo Poggi, Andrea Conti, Stefano Mattoccia

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Unsupervised confidence for LiDAR depth maps and applications.

Andrea Conti, Matteo Poggi, Filippo Aleotti, Stefano Mattoccia

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022