CV

An updated version of my CV can be found at https://esanchezlozano.github.io/files/CV_short_Mar2021.pdf

Education

• MEng in Telecommunication Engineering, University of Vigo (Spain), 2009
• MSc in Signal Theory and Communications, University of Vigo (Spain), 2011
• PhD in Computer Science, University of Nottingham (UK), 2017

Scholarships and Research Stays

• Research stays:
  • Carnegie Mellon University, Human Sensing Lab. 2011 - 2012 (6 months)
  • University of Nottingham, CVLab. 2013 - 2014 (5 months). Funded by Fundación Pedro Barrié.
• Scholarships:
  • Vice-Chancellor’s Scholarship for Research Excellence (EU). University of Nottingham, 2014.
  • School of Computer Science Scholarship. University of Nottingham, 2014.
  • Fundación Pedro Barrié. 2013.
  • Pre-doctoral scholarship from Galician Government (Xunta). 2013.

Work experience

• July 2017 – March 2019 : Research Fellow
  • University of Nottingham
  • Computer Vision Laboratory
• September 2016 – July 2017 : Research Associate
  • University of Nottingham
  • Computer Vision Laboratory
• April 2013 – October 2014 : Research Associate
  • University of Vigo
  • Multimedia Technologies Group
• October 2009 – April 2013 : Research & Development
  • Gradiant
  • Multimodal Information Area

Skills

• Matlab
• Python & Pytorch

Publications

Continuous Regression for Non-rigid Image Alignment

Enrique Sánchez-Lozano et al. (2012). "Continuous Regression for Non-rigid Image Alignment." ECCV.

Blockwise Linear Regression for Face Alignment

Enrique Sánchez-Lozano et al. (2013). "Blockwise Linear Regression for Face Alignment." BMVC.

Cascaded Regression with Sparsified Feature Covariance Matrix for Facial Landmark Detection

E. Sánchez-Lozano et al. (2016). "Cascaded Regression with Sparsified Feature Covariance Matrix for Facial Landmark Detection." Pattern Recognition Letters.

Cascaded Continuous Regression for Real-time Incremental Face Tracking

Enrique Sánchez-Lozano et al. (2016). "Cascaded Continuous Regression for Real-time Incremental Face Tracking." ECCV.

Joint Action Unit localisation and intensity estimation through heatmap regression

E. Sanchez-Lozano (2018). "Joint Action Unit localisation and intensity estimation through heatmap regression." BMVC.

A Functional Regression approach to Facial Landmark Tracking

E. Sánchez-Lozano et al. (2018). "A Functional Regression approach to Facial Landmark Tracking." TPAMI.

Teaching

• G53MLE Machine Learning. Lab Assistant.
• University of Nottingham
• Spring 2015, Spring 2016, Spring 2017, Fall 2017

Reviewing

• Journals:
  • TPAMI, Image and Vision Computing, Computer Vision and Image Understanding, Multimedia Tools and Applications, IET Information Security, IEEE-Cognitive and Developmental Systems
• Conferences:
  • BMVC (2014-2018, Outstanding reviewer 2015), FG (2017-2018), ICMI (2013-2018, Best Reviewer Award 2016), ICME (2015-2018), VCIP (2015-2017, Outstanding reviewer 2016), ISM (2015, 2017)