VISION BEYOND VISIBLE

Constantino Álvarez D.Sc. (Tech)
Postdoctoral Researcher and Engineer

Center for Machine Vision and Signal Analysis (CMVS)

Faculty of Information Technology and Electrical Engineering,

University of Oulu, Finland

constantino.alvarezcasado (at) oulu (dot) fi

Keywords: Computer Vision, Face Alignment, Machine Learning, Signal Processing Systems, Deep Learning, Real-time algorithms, Biomedical engineering

Recent News

December 2024 - Our article ""Spatio-temporal 3d point clouds from wifi-csi data via transformer networks."" is accepted by 5th IEEE International Symposium on Joint Communications & Sensing: Link
November 2024 - Our article "Exploring Facial Kinship Verification through Contactless Heart Activity Analysis" is accepted by 2025 International Conference on Acoustics, Speech, and Signal Processing (ICASSP): Link
September, 2024 - Our article "Evaluation of video-based rPPG in challenging environments: Artifact mitigation and network resilience" has been published by Elsevier Computers in Biology and Medicine: link
February, 2024 - Our article "A Distributed Framework for Remote Multimodal Biosignal Acquisition and Analysis" is accepted by Nordic Conference on Digital Health and Wireless Solutions (NCDHWS'24): link
December, 2023 - I have successfully defended my doctoral thesis. The thesis can be downloaded here.
August, 2023 - Our manuscript "Face2PPG: An Unsupervised Pipeline for Blood Volume Pulse Extraction From Faces" has been accepted at the IEEE Journal of Biomedical and Health Informatics (Link).
June, 2023 - Our manuscript "Non-Contact Heart Rate Measurement from Deteriorated Videos" has been accepted for the 28th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2023). Link: https://2023.ieee-etfa.org/main/static/files/program/ConferenceProgram_Complete.pdf
February, 2023 - Our manuscript "Assessing the feasibility of remote photoplethysmography through videocalls: A study of network and computing constraints" has been accepted for the 22nd Scandinavian Conference on Image Analysis (SCIA 2023).
January, 2023 - Our manuscript "Depression Recognition using Remote Photoplethysmography from Facial Videos" has been accepted for publication at the IEEE Transactions on Affective Computing journal. Link: https://ieeexplore.ieee.org/document/10023947
November, 2022 - Several contributions done to open source Python package Antropy.
October 2022 - Our manuscript "Identification, Activity, and Biometric Classification using Radar-based Sensing" has been published: link
September 2022 - I will be at ETFA 2022 conference in Stuttgart presenting our new article "Identification, Activity, and Biometric Classification using Radar-based Sensing".
February 2022 - Our rPPG method OMIT (https://arxiv.org/abs/2202.04101) was added in the Python package PyVHR.
July, 2021 - Our manuscript "Meditation detection using sensors from wearable devices" has been accepted for the 4th International Workshop on Computing for Well-Being (WellComp2021) at #ISWC'21 (@ubicomp)
April, 2021 - Added our face alignment ERT GTX model to the official dlib-models repository. Now, you can check by simply swapping the default model with the name of the GTX model.
April, 2021 - Our manuscript "Real-time face alignment: evaluation methods, training strategies and implementation optimization" has been accepted for publication at the Springer Journal of Real-time Image Processing. Download code, models, benchmark datasets and example videos from the article's Gitlab Repository.
Mar, 2021 - Several contributions done to open source Python packages HeartPy , PyVHR and LazyPredict

I am currently a Postdoctoral Research Scientist at the Center for Machine Vision and Signal Analysis (CMVS) within the Faculty of Information Technology and Electrical Engineering at the University of Oulu, Finland. Under the leadership of Associate Professor Miguel Bordallo López, my focus is on Computer vision, Artificial Intelligence and Vision Systems Engineering. In 2023, I completed my doctoral studies in Computer Science (D.Sc., Tech) at the University of Oulu, Finland, under the supervision of Associate Professor Miguel Bordallo. Prior to that, I have studied my B.Sc. in Telecommunications Engineering at the University of Vigo in Spain. In 2020, I completed my M.Sc. in Computer Science with a specialization in Artificial Intelligence at the University of Oulu.

With over 5 years of industry experience, I have honed my expertise in computer vision and embedded systems. Previously, I worked as an R&D Engineer at prominent organizations such as the Galician R&D Center in Advanced Telecommunications (GRADIANT) in Spain and Visidon Ltd in Finland. Throughout my career, I have contributed to numerous industrial research projects, including those supported by the European Union and Business Finland. My work has involved developing core technologies, applications, and software development kits (SDKs) for face analysis on desktop computers, mobile devices, and embedded systems. Notably, the outcomes of my efforts are currently being utilized in various commercial applications, with code deployed on over 1 billion smartphones (see https://www.visidon.fi/) and adopted by major players in the Spanish banking and retail sectors (see https://www.gradiant.org/en/technologies/biometrics/).

Beyond my research and development skills, I have accumulated over 15 years of experience in live sound engineering and technical production management for world-class artists. These roles have not only allowed me to further develop my expertise in signal processing, acoustics, and electronics but have also enhanced my ability to thrive under high-pressure environments and assume significant responsibilities. Additionally, my experiences in these roles have strengthened my collaboration and teamwork skills.

Selected work

Human 3D Point Cloud estimation using WiFi signals

Training strategies and implementation optimization for face alignment (2018 - 2019)

LBF_Face_Alignment_Weldon.avi

Real-time face tracking and face alignment (2018-2019)

NXP_Sabrelite_RT_FaceAlignment.mp4

Real-time face technologies on embedded devices (NXP, YOCTO) - 2018.

Fatigue_Detection_Thermal_Camera.avi

Fatigue detection using thermal cameras (2018)

AntiSpoofing_DNN.mp4

Real-time liveness detection technologies (2017)

Media

Get in touch at constantino.alvarezcasado (at) oulu.fi

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