◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Tom Monnier

9 papers hereh-index 8272 citations13 works total

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

author position
  • first author5
  • middle author4

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV9
same name
  • Tom Monnier — 12 papers, h 6

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
20202023
most citeddocExtractor: An off-the-shelf historical document element extraction

34 citations · 36 across the 7 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

cs.CV2023

Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives

Tom Monnier, Jake Austin, Angjoo Kanazawa +2

Given a set of calibrated images of a scene, we present an approach that produces a simple, compact, and actionable 3D world representation by means of 3D primitives. While many ap…

cs.CV2023★ 1 cited

MACARONS: Mapping And Coverage Anticipation with RGB Online Self-Supervision

Antoine Guédon, Tom Monnier, Pascal Monasse +1

We introduce a method that simultaneously learns to explore new large environments and to reconstruct them in 3D from color images only. This is closely related to the Next Best Vi…

cs.CV2023

The Learnable Typewriter: A Generative Approach to Text Analysis

Ioannis Siglidis, Nicolas Gonthier, Julien Gaubil +2

We present a generative document-specific approach to character analysis and recognition in text lines. Our main idea is to build on unsupervised multi-object segmentation methods…

◍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.