◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Diego Passarella

3 papers here

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3
same name
  • Diego Passarella — 2 papers

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

most citedUruDendro4: A Benchmark Dataset for Automatic Tree-Ring Detection in Cross-Section Images of Pinus taeda L

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

collaborators

3 papers

cs.CV2026

Implementation and discussion of the Pith Estimation on Rough Log End Images using Local Fourier Spectrum Analysis method

Henry Marichal, Diego Passarella, Gregory Randall

In this article, we analyze and propose a Python implementation of the method "Pith Estimation on Rough Log End images using Local Fourier Spectrum Analysis", by Rudolf Schraml and…

cs.CV2025★ 1 cited

UruDendro4: A Benchmark Dataset for Automatic Tree-Ring Detection in Cross-Section Images of Pinus taeda L

Henry Marichal, Joaquin Blanco, Diego Passarella +1

Tree-ring growth represents the annual wood increment for a tree, and quantifying it allows researchers to assess which silvicultural practices are best suited for each species. Ma…

cs.CV2025

DeepCS-TRD, a Deep Learning-based Cross-Section Tree Ring Detector

Henry Marichal, Verónica Casaravilla, Candice Power +6

Here, we propose Deep CS-TRD, a new automatic algorithm for detecting tree rings in whole cross-sections. It substitutes the edge detection step of CS-TRD by a deep-learning-based…

◍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.