Name: Constantino Álvarez
Type: User
Company: University of Oulu
Bio: Postdoctoral Researcher at Center for Machine Vision and Signal Analysis (CMVS) in the University of Oulu (Finland). CV and ML researcher and developer.
Location: Oulu, Finland
Blog: https://www.oulu.fi/cmvs/
Constantino Álvarez's Projects
Deep learning techniques for skin segmentation on novel abdominal dataset. Work conducted as part of the development process of an autonomous robotic ultrasound system.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
AntroPy: entropy and complexity of (EEG) time-series in Python
Mirror of Ardour Source Code
A personal fork of the armadillo C++ linear algebra library (http://arma.sourceforge.net/)
A deep neural network for face alignment
Self-supervised CAE for denoising
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Modular image processing pipeline using OpenCV and Python generators powered by Detectron2.
A resource to create a multi domain Dialog Act Tagger for conversational agents using publicly available data
A toolkit for making real world machine learning and data analysis applications in C++
Trained model files for dlib example programs.
:fire: 2D and 3D Face alignment library build using pytorch
Automatically exported from code.google.com/p/farmhash
Low-precision matrix multiplication
GNOME shell extension to arrange workspaces in a two dimensional grid with workspace thumbnails
Official examples for Vernier Go Direct® Sensors in both Python and JavaScript
A Python module for reading from Vernier Go Direct® Sensors using USB or BLE.
Python Heart Rate Analysis Package, for both PPG and ECG signals
Tutorial on how to setup your system with a NVIDIA GPU and to install Deep Learning Frameworks like TensorFlow, Theano and Keras, OpenCV and NVIDIA drivers, CUDA and cuDNN libraries on Ubuntu 16.04.3 and 17.10.
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
A list of pain recognition databases that are publicly available for research
A c-style macro preprocessor written in Python
Video Pulserate monitor using opencv and the chrominance method
A PyTorch implementation of MobileNet V2 architecture and pretrained model.
Python framework for Virtual Heart Rate
The Qt 6 Book - A book about QML
rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023)