Seeing Around Corners with a Laser

In this post I would like to show you some results of another interesting paper I came across recently that was published last year. It’s on the topic of non-line-of-sight (NLOS) imaging or, in other words, it’s about research that helps you see around corners. NLOS could be something particularly useful for use cases such […]


Image Steganography – Simple Examples

In my last post I introduced the field of image steganography, which is the practice of concealing secret messages in digital images. I looked at the history of steganography and presented some recently reported real-life cases (including one from the FBI) where digital steganography was used for malicious purposes. In this post I would like to present […]


Image Steganography – An Introduction

In this post (part 1 of 2) I would like to introduce the topic of image steganography, which is the practice of concealing secret messages in digital images. I’ve always been fascinated by this subject so I have taken the excuse to research for this post as a way to delve into the topic. Turns […]


Image Completion from SIGGRAPH 2017

Oh, I love stumbling upon fascinating publications from the academic world! This post will present to you yet another one of those little gems that has recently fallen into my lap. It’s on the topic of image completion and comes from a paper published in SIGGRAPH 2017 entitled “Globally and Locally Consistent Image Completion” (project page […]


The Baidu and ImageNet Controversy

Two months ago I wrote a post about some recent controversies in the industry in computer vision. In this post I turn to the world of academia/research and write about something controversial that occurred there. But since the world of research isn’t as aggressive as that of the industry, I had to go back three […]


The Top Image Datasets and Their Challenges

In previous posts of mine I have discussed how image datasets have become crucial in the deep learning (DL) boom of computer vision of the past few years. In deep learning, neural networks are told to (more or less) autonomously discover the underlying patterns in classes of images (e.g. that bicycles are composed of two […]


The Early History of Computer Vision

As I’ve discussed in previous posts of mine, computer vision is growing faster than ever. In 2016, investments into US-based computer vision companies more than tripled since 2014 – from $100 million to $300 million. And it looks like this upward trend is going to continue worldwide, especially if you consider all the major acquisitions […]


Football/Soccer on Your Tabletop

Well, it’s World Cup season now, isn’t it? Australia got eliminated this week so I’m feeling a bit depressed at the moment. However, seeing teams like Germany also not make it past the group stage makes me feel a little better (sorry German people reading this post :P). But since the World Cup is on, […]