Nicolas Dickenmann

Nicolas Dickenmann

I am currently a master's student at ETH Zurich.

I am interested in 3d vision, self-supervised learning and solving scalability for vision. I believe vision is the most important frontier with 70% of internet traffic being video and more than half of the human brain being devoted to vision processing.

Previously I completed my bachelors at ETH Zurich in electrical engineering, studied at NUS in Singapore and worked as a computer vision engineer at Polybee.

Projects

Creating worlds out of thoughts.

Weekend experiment: can you generate virtual worlds directly from brain signals? Combined Nvidia Cosmos with DreamDiffusion to turn EEG readings into explorable environments.

Superresolution on MRI scans

This project taught me systematic ML experimentation: proper benchmarking, rigorous ablation testing, and drawing conclusive insights. Trained and evaluated a superresolution model based on this work on MRI images.

BERNOULLI Student Rocket

I worked on the avionics stack of the 2023 BERNOULLI hybrid rocket. Launched at EUROC from a Portuguese army tank training ground.

Music recognition on a low power microcontroller

My first real ML project. Trained a lightweight neural network, converted it to embedded C, and deployed it on an STM32 microcontroller for real-time song classification (~90% accuracy) using only a microphone and FFT-based features.