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Matteo Matteucci

4 papers hereh-index 00 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.RO1
same name
  • Matteo Matteucci — 11 papers, h 2
  • Matteo Matteucci — 7 papers, h 11
  • Matteo Matteucci — 6 papers, h 2
  • Matteo Matteucci — 5 papers, h 2
  • Matteo Matteucci — 4 papers, h 4
  • Matteo Matteucci — 2 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.CV2026

Graph it first! Enabling Reasoning on Long-form Egocentric Videos through Scene Graphs

Agnese Taluzzi, Riccardo Santambrogio, Simone Mentasti +2

Existing multi-modal large language models (MLLMs) face significant challenges in processing long video sequences due to strict input token limitations. As a result, current video…

cs.CV2026

No Pose, No Problem in 4D: Feed-Forward Dynamic Gaussians from Unposed Multi-View Videos

Matteo Balice, Yanik Kunzi, Chenyangguang Zhang +3

Recent feed-forward 3D gaussian splatting methods have made dramatic progress on individual aspects of 3D scene reconstruction, but no existing method jointly addresses dynamic con…

cs.RO2026

EmbodiedLGR: Integrating Lightweight Graph Representation and Retrieval for Semantic-Spatial Memory in Robotic Agents

Paolo Riva, Leonardo Gargani, Matteo Frosi +1

As the world of agentic artificial intelligence applied to robotics evolves, the need for agents capable of building and retrieving memories and observations efficiently is increas…

cs.CV2026

UniLiPs: Unified LiDAR Pseudo-Labeling with Geometry-Grounded Dynamic Scene Decomposition

Filippo Ghilotti, Samuel Brucker, Nahku Saidy +3

Unlabeled LiDAR logs, in autonomous driving applications, are inherently a gold mine of dense 3D geometry hiding in plain sight - yet they are almost useless without human labels,…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.