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Xavier Soria Poma

Polytechnic School of Chimborazo

4 papers hereh-index 7770 citations11 works total

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

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
affiliations
  • Polytechnic School of Chimborazo
Homepage
same name
  • Xavier Soria Poma — 2 papers, h 3

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
20192023
most citedDense Extreme Inception Network for Edge Detection

164 citations · 171 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 5 cited

Tiny and Efficient Model for the Edge Detection Generalization

Xavier Soria, Yachuan Li, Mohammad Rouhani +1

Most high-level computer vision tasks rely on low-level image operations as their initial processes. Operations such as edge detection, image enhancement, and super-resolution, pro…

cs.CV2023★ 2 cited

Compact Twice Fusion Network for Edge Detection

Yachuan Li, Zongmin Li, Xavier Soria P. +5

The significance of multi-scale features has been gradually recognized by the edge detection community. However, the fusion of multi-scale features increases the complexity of the…

cs.CV2021★ 164 cited

Dense Extreme Inception Network for Edge Detection

Xavier Soria, Angel Sappa, Patricio Humanante +1

<<<This is a pre-acceptance version, please, go through Pattern Recognition Journal on Sciencedirect to read the final version>>>. Edge detection is the basis of many computer visi…

cs.CV2019

Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection

Xavier Soria, Edgar Riba, Angel D. Sappa

This paper proposes a Deep Learning based edge detector, which is inspired on both HED (Holistically-Nested Edge Detection) and Xception networks. The proposed approach generates t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.