Master thesis proposals - external

Spotify

Machine learning applied to music search

There are several parts in our search platform that use machine learning to give the best user experience possible. We want a master’s student to look into the best way of doing this.

Machine Learning at Spotify

Computer Science, Data and Security

Volumental

Efficient object segmentation on mobile phones

Since AlexNet published in 2012, Convolutional Neural Networks has ushered a new era in computer vision, consistently improving object detection and segmentation accuracy. In image segmentation, the latest promising work on this front is Mask R-CNN, a region proposing network for object segmentation, building upon a series of CNNs for object detection [1]. This Msc thesis is about implementing Mask R-CNN that can run on flagship iPhone with the end goal of 3D scanning human bodies. As such, the thesis combines theoretical understanding of CNNs with the practice of running it on mobile devices. This is a challenging and exciting thesis topic and we are looking for ambitious, talented candidates.

About Volumental
Volumental is a computer vision company from RPL, KTH active in 3D body scanning and product recommendation based on 3D measurements in footwear. Today we have our computer vision systems are deployed across 32 countries and scanning hundreds of thousands of people regularly, working with some of the world's biggest brands. We are a relatively small but growing team of PhDs in computer vision and machine learning and are product RPL-alumni. We have a healthy gender ratio of almost half of the team being women, and we hail from 9 different countries. We are located centrally at T-Centralen.

If you are interested reach out to: alper@volumental.com

[1] blog.athelas.com/a-brief-history-of-cnns-in-image-segmentation-from-r-cnn-to-mask-r-cnn-34ea