◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

V. Fabris

3 papers hereh-index 233 citations7 works total

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.CV1
  • cs.IR1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedVisual Question Answering: A Survey on Techniques and Common Trends in Recent Literature

6 citations · 10 across the 3 of their papers we have counts for

collaborators

3 papers

cs.IR2026

HR-Agents: Using Multiple LLM-based Agents to Improve Q&A about Brazilian Labor Legislation

Abriel K. Moraes, Gabriel S. M. Dias, Vitor L. Fabris +14

The Consolidation of Labor Laws (CLT) serves as the primary legal framework governing labor relations in Brazil, ensuring essential protections for workers. However, its complexity…

cs.CV2023★ 6 cited

Visual Question Answering: A Survey on Techniques and Common Trends in Recent Literature

Ana Cláudia Akemi Matsuki de Faria, Felype de Castro Bastos, José Victor Nogueira Alves da Silva +4

Visual Question Answering (VQA) is an emerging area of interest for researches, being a recent problem in natural language processing and image prediction. In this area, an algorit…

cs.LG2023★ 4 cited

eXplainable Artificial Intelligence on Medical Images: A Survey

Matteus Vargas Simão da Silva, Rodrigo Reis Arrais, Jhessica Victoria Santos da Silva +15

Over the last few years, the number of works about deep learning applied to the medical field has increased enormously. The necessity of a rigorous assessment of these models is re…

◍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.