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Miguel Bordallo López

4 papers hereh-index 14773 citations40 works total

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

author position
  • middle author1
  • last author3

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

fields
  • cs.CV2
  • eess.IV1
  • eess.SP1
same name
  • Miguel Bordallo López — 10 papers, h 2
  • Miguel Bordallo López — 4 papers, h 5
  • Miguel Bordallo López — 3 papers, h 1
  • Miguel Bordallo López — 3 papers, h 5
  • Miguel Bordallo López — 1 paper, h 1

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 citedMAMAF-Net: Motion-Aware and Multi-Attention Fusion Network for Stroke Diagnosis

6 citations · 8 across the 3 of their papers we have counts for

collaborators

4 papers

eess.IV2023★ 6 cited

MAMAF-Net: Motion-Aware and Multi-Attention Fusion Network for Stroke Diagnosis

Aysen Degerli, Pekka Jakala, Juha Pajula +2

Stroke is a major cause of mortality and disability worldwide from which one in four people are in danger of incurring in their lifetime. The pre-hospital stroke assessment plays a…

cs.CV2022★ 1 cited

Facial Expression Analysis Using Decomposed Multiscale Spatiotemporal Networks

Wheidima Carneiro de Melo, Eric Granger, Miguel Bordallo Lopez

Video-based analysis of facial expressions has been increasingly applied to infer health states of individuals, such as depression and pain. Among the existing approaches, deep lea…

cs.CV2022★ 1 cited

Iterative Learning for Instance Segmentation

Tuomas Sormunen, Arttu Lämsä, Miguel Bordallo Lopez

Instance segmentation is a computer vision task where separate objects in an image are detected and segmented. State-of-the-art deep neural network models require large amounts of…

eess.SP2019

Transport Triggered Array Processor for Vision Applications

Mehdi Safarpour, Ilkka Hautala, Miguel Bordallo Lopez +1

Low-level sensory data processing in many Internet-of-Things (IoT) devices pursue energy efficiency by utilizing sleep modes or slowing the clocking to the minimum. To curb the sha…

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