Enrique Sanchez
Scholar

Enrique Sanchez

Google Scholar ID: VLIQpIYAAAAJ
Samsung AI Center Cambridge
Affective ComputingUnsupervised LearningFacial Expression RecognitionStochastic ProcessesFace Tracking
Citations & Impact
All-time
Citations
866
 
H-index
16
 
i10-index
21
 
Publications
20
 
Co-authors
12
list available
Resume (English only)
Academic Achievements
  • Published multiple papers in the fields of computer vision, pattern analysis, and machine intelligence, including but not limited to 'Multiscale Vision Transformers meet Bipartite Matching for efficient single-stage Action Localization' (CVPR 2024), 'From Keypoints to Object Landmarks via Self-Training Correspondence: A novel approach to Unsupervised Landmark Discovery' (TPAMI 2023), etc.
Research Experience
  • Senior Research Scientist at Samsung AI Center – Cambridge since 2019; Worked at the Computer Vision Lab, University of Nottingham from September 2016 to March 2019; Visited Human Sensing Lab @ CMU for 6 months in 2011.
Education
  • PhD in Computer Science from the University of Nottingham in 2017; MSc in Signal Theory and Communications from the University of Vigo (Spain) in 2011; MEng in Telecommunications Engineering from the University of Vigo (Spain) in 2009. PhD partially funded by the Vice-Chancellor’s Scholarship for Research Excellence and School of Computer Science scholarship. Previously, received a scholarship from Fundación Pedro Barrié to conduct research at CVLab, Nottingham.
Background
  • Research interests: Use of Deep Learning techniques for Facial Expression Recognition; Fundamental theory behind recent developments in generative methods using Deep Learning (VAEs and GANs).
Miscellany
  • Social media accounts: Twitter, LinkedIn, Github, Google Scholar, ORCID