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Alexandre Bernardino

Institute for Systems and Robotics, Instituto Superior Técnico, Universidade de Lisboa

15 papers hereh-index 417.3k citations328 works total

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

author position
  • middle author12
  • last author3

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.RO8
  • cs.CV4
  • cs.HC2
  • cs.LG1
affiliations
  • Institute for Systems and Robotics, Instituto Superior Técnico, Universidade de Lisboa
Homepage
same name
  • Alexandre Bernardino — 4 papers, h 2
  • Alexandre Bernardino — 3 papers, h 9
  • Alexandre Bernardino — 2 papers, h 6
  • Alexandre Bernardino — 2 papers, h 1
  • Alexandre Bernardino — 2 papers, h 3
  • Alexandre Bernardino — 1 paper

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
20172024
most citedLanguage Bootstrapping: Learning Word Meanings From Perception-Action Association

38 citations · 81 across the 7 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2021

Attention on Classification for Fire Segmentation

Milad Niknejad, Alexandre Bernardino

Detection and localization of fire in images and videos are important in tackling fire incidents. Although semantic segmentation methods can be used to indicate the location of pix…

cs.CV2021

One-shot action recognition in challenging therapy scenarios

Alberto Sabater, Laura Santos, Jose Santos-Victor +3

One-shot action recognition aims to recognize new action categories from a single reference example, typically referred to as the anchor example. This work presents a novel approac…

cs.CV2019

Attention Filtering for Multi-person Spatiotemporal Action Detection on Deep Two-Stream CNN Architectures

João Antunes, Pedro Abreu, Alexandre Bernardino +2

Action detection and recognition tasks have been the target of much focus in the computer vision community due to their many applications, namely, security, robotics and recommenda…

cs.CV2018

Applying Domain Randomization to Synthetic Data for Object Category Detection

João Borrego, Atabak Dehban, Rui Figueiredo +3

Recent advances in deep learning-based object detection techniques have revolutionized their applicability in several fields. However, since these methods rely on unwieldy and larg…

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