◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

João Faria

3 papers hereh-index 336 citations4 works total

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

author position
  • middle author2
  • last author1

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

fields
  • cs.IR2
  • cs.CV1
same name
  • João Faria — 1 paper, h 2

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 citedA Unified Model with Structured Output for Fashion Images Classification

12 citations · 16 across the 3 of their papers we have counts for

collaborators

3 papers

cs.IR2022★ 3 cited

Enriching a Fashion Knowledge Graph from Product Textual Descriptions

João Barroca, Abhishek Shivkumar, Beatriz Quintino Ferreira +2

Knowledge Graphs offer a very useful and powerful structure for representing information, consequently, they have been adopted as the backbone for many applications in e-commerce s…

cs.IR2018★ 1 cited

A Hierarchical Deep Learning Natural Language Parser for Fashion

José Marcelino, João Faria, Luís Baía +1

This work presents a hierarchical deep learning natural language parser for fashion. Our proposal intends not only to recognize fashion-domain entities but also to expose syntactic…

cs.CV2018★ 12 cited

A Unified Model with Structured Output for Fashion Images Classification

Beatriz Quintino Ferreira, Luís Baía, João Faria +1

A picture is worth a thousand words. Albeit a cliché, for the fashion industry, an image of a clothing piece allows one to perceive its category (e.g., dress), sub-category (e.g.,…

◍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.