Thoughts (personal blog)

A few thoughts and articles about computer vision, science or AI in general.

List of publications

For an automatically updated version of this list (in case I forget to add one in the future), check this page out.

Publication Year
What do Deep Networks like to See 2018
Classless Association using Neural Networks 2017
Symbolic Association using Parallel Multilayer Perceptron 2016
Multi-camera vehicle identification system (Patent: US 9449258 B1) 2015
Application Exploring of Ubiquitous Pressure Sensitive Matrix as Input Resource for Home-Service Robots 2014
Retrieving Objects, People and Places from a Video Collection: TRECVID'12 Instance Search Task. 2012

Some of my work

Here, you can find prototypes, ideas and demos I have been working on over the years.

Areas of expertise

These are some fields and technologies I have learned and feel comfortable working with.


My weapon of choice. I've been programing in Python for well over 8 years. I'm very familiar with NumPy, Matplotlib, Pandas, scikit-learn, Pillow and SciPy. I rather open an iPython console than the calculator.


Together with Keras, I go with TF for almost all of my deep learning. The rapid development of Keras and the power and flexibility of TF made me stay with those two. Oh and the community. The large community!

Computer Vision

The area that drove me to AI. I'm fascinated by how images can be manipulated programatically (you know, instead of developing an accounting system). It still bewilders me how simple vision task for humans are so complex to model using computers.

Artificial Intelligence

The extension of my quest in computer vision. It turns out we need to understand more general models of intelligence and other areas of AI may have some answers as well. Text, graph-theory, robotics. Every bit of introspection can be turned into code.


Happy to stay close to the penguin. I love the freedom and the power that comes with Linux. Bash enthusiast. I just edited this using nano :)

Scientific Research

The pillar of understanding. The foundation of reason. Science is the window that unveils the true beauty of the universe. It is not perfect but it is the best we have. Respect the rigor, the ideas and the evidence. Be open. Learn from it, challenge it and improve upon it.

Get in touch

Send me an E-mail to First.Last at