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Peyman Moghadam

32 papers hereh-index 272.4k citations77 works total

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

author position
  • middle author25
  • last author7

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

fields
  • cs.CV18
  • cs.RO9
  • cs.LG4
  • cs.AI1
same name
  • Peyman Moghadam — 5 papers, h 3
  • Peyman Moghadam — 3 papers, h 2
  • Peyman Moghadam — 3 papers, h 4

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
20172026
most citedLoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition

108 citations · 417 across the 27 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2023

L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space

Kaushik Roy, Peyman Moghadam, Mehrtash Harandi

The performance of a lifelong learning (L3) model degrades when it is trained on a series of tasks, as the geometrical formation of the embedding space changes while learning novel…

cs.LG2023

Exploiting Field Dependencies for Learning on Categorical Data

Zhibin Li, Piotr Koniusz, Lu Zhang +2

Traditional approaches for learning on categorical data underexploit the dependencies between columns (\aka fields) in a dataset because they rely on the embedding of data points d…

cs.LG2022

A Real-time Edge-AI System for Reef Surveys

Yang Li, Jiajun Liu, Brano Kusy +12

Crown-of-Thorn Starfish (COTS) outbreaks are a major cause of coral loss on the Great Barrier Reef (GBR) and substantial surveillance and control programs are ongoing to manage COT…

cs.LG2021★ 10 cited

Dense Uncertainty Estimation

Jing Zhang, Yuchao Dai, Mochu Xiang +7

Deep neural networks can be roughly divided into deterministic neural networks and stochastic neural networks.The former is usually trained to achieve a mapping from input space to…

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