◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Théo Larcher

5 papers hereh-index 8188 citations13 works total

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

author position
  • first author1
  • middle author4

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG1
  • q-bio.PE1

identity via Semantic Scholar / OpenAlex

activity
20232025
most citedThe GeoLifeCLEF 2023 Dataset to evaluate plant species distribution models at high spatial resolution across Europe

3 citations · 4 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2025

Overview of GeoLifeCLEF 2023: Species Composition Prediction with High Spatial Resolution at Continental Scale Using Remote Sensing

Christophe Botella, Benjamin Deneu, Diego Marcos +6

Understanding the spatio-temporal distribution of species is a cornerstone of ecology and conservation. By pairing species observations with geographic and environmental predictors…

cs.CV2024

GeoPlant: Spatial Plant Species Prediction Dataset

Lukas Picek, Christophe Botella, Maximilien Servajean +7

The difficulty of monitoring biodiversity at fine scales and over large areas limits ecological knowledge and conservation efforts. To fill this gap, Species Distribution Models (S…

cs.CV2024

End-to-end information extraction in handwritten documents: Understanding Paris marriage records from 1880 to 1940

Thomas Constum, Lucas Preel, Théo Larcher +3

The EXO-POPP project aims to establish a comprehensive database comprising 300,000 marriage records from Paris and its suburbs, spanning the years 1880 to 1940, which are preserved…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.