Luigi Piccinelli

Orcid: 0009-0002-7848-7325

According to our database1, Luigi Piccinelli authored at least 14 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
DGFusion: Depth-Guided Sensor Fusion for Robust Semantic Perception.
IEEE Robotics Autom. Lett., March, 2026

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2026

Video Depth Propagation.
Proceedings of the International Conference on 3D Visio, 2026

2025
Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

UniK3D: Universal Camera Monocular 3D Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Multi-Scale Feature Alignment for Continual Learning of Unlabeled Domains.
IEEE Trans. Medical Imaging, July, 2024

Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Appearance Graphs.
Proceedings of the Computer Vision - ECCV 2024, 2024

SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking.
Proceedings of the Computer Vision - ECCV 2024, 2024

UniDepth: Universal Monocular Metric Depth Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Matching Anything by Segmenting Anything.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Multi-scale Feature Alignment for Continual Learning of Unlabeled Domains.
CoRR, 2023

iDisc: Internal Discretization for Monocular Depth Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Survey and Comparison of Milliwatts Micro controllers for Tiny Machine Learning at the Edge.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022


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