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Marco Pavone

32 papers hereh-index 10327 citations34 works total

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

author position
  • middle author23
  • last author8

Across the 31 of 32 papers where every author was matched, so the position is known.

fields
  • cs.CV22
  • cs.RO7
  • cs.AI1
  • cs.CL1
  • cs.LG1
same name
  • Marco Pavone — 58 papers, h 26
  • Marco Pavone — 16 papers, h 7
  • Marco Pavone — 15 papers, h 6
  • Marco Pavone — 13 papers, h 4
  • Marco Pavone — 11 papers, h 3
  • Marco Pavone — 8 papers, h 5

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

activity
20242026
most citedLOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences

1 citations · 2 across the 24 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024★ 1 cited

STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor Scenes

Jiawei Yang, Jiahui Huang, Yuxiao Chen +10

We present STORM, a spatio-temporal reconstruction model designed for reconstructing dynamic outdoor scenes from sparse observations. Existing dynamic reconstruction methods often…

cs.CV2024

Extrapolated Urban View Synthesis Benchmark

Xiangyu Han, Zhen Jia, Boyi Li +8

Photorealistic simulators are essential for the training and evaluation of vision-centric autonomous vehicles (AVs). At their core is Novel View Synthesis (NVS), a crucial capabili…

cs.CV2024

Training an Open-Vocabulary Monocular 3D Object Detection Model without 3D Data

Rui Huang, Henry Zheng, Yan Wang +3

Open-vocabulary 3D object detection has recently attracted considerable attention due to its broad applications in autonomous driving and robotics, which aims to effectively recogn…

cs.CV2024

VILA2: VILA Augmented VILA

Yunhao Fang, Ligeng Zhu, Yao Lu +7

While visual language model architectures and training infrastructures advance rapidly, data curation remains under-explored where quantity and quality become a bottleneck. Existin…

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