Career Profile

After a double master degree at KTH (Stochkolm, Sweden) and Politecnico di Torino (Torino, Italy), I pursued my passion for Computer Vision as researcher in the Heidelberg Collaboratory for Image procession, one of the biggest research group in Germany in the field.

A detailed list of publications can be found here.


March 2019
Two papers submitted to ICCV19
January 2019
Selected as reviewer for ICCV19
December 2018
Selected as reviewer for CVPR19
Sptember 2018
Two papers accepted as orals at GCPR (German Conference for Patter Recognition) as a result of two master thesis which I supervised
July 2018
Attending the International Summer School for Computer Vision (ICVSS) in Sicily, Italy
Paper accepted as poster at ECCV18 in Munich, Germany
Attending the Workshop on Behavior Analysis (BAFA, Better Analysis Fewer Animals) in Utrecht, Netherlands
Paper accepted as poster at CVPR17 in Honolulu, Hawaii


Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning
B. Brattoli*, U. Buechler*, B. Ommer
ECCV, 2018
LSTM Self-Supervision for Detailed Behavior Analysis
B. Brattoli*, U. Buechler*, A. Wahl, M. Schwab, B. Ommer
CVPR, 2017
Cross and Learn: Cross-Modal Self-Supervision
N. Sayer, B. Brattoli, B. Ommer
oral at GCPR, 2018
X-GAN: Improving Generative Adversarial Networks with ConveX Combinations
O. Blum, B. Brattoli, B. Ommer
oral at GCPR, 2018
Optogenetically stimulating intact rat corticospinal tract post-stroke restores motor control through regionalized functional circuit formation
A. S. Wahl*, U. Büchler*, A. Brändli, B. Brattoli, S. Musall, H. Kasper, B. V. Ineichen, F. Helmchen, B. Ommer & M. E. Schwab
Nature Communications, 2017
Early reduced behavioral activity induced by large strokes affects the efficiency of enriched environment in rats
A. S. Wahl, Erlebach, E, B. Brattoli, U. Büchler, J. Kaiser, V.B. Ineichen, A.C. Mosberger, S. Schneeberger, S. Imobersteg, M. Wieckhorst, M. Stirn, A. Schroeter, B. Ommer, M.E. Schwab
Journal of Cerebral Blood Flow & Metabolism, 2018


PhD in Computer vision and Machine learning

2015 - current
Heidelberg University

Unsupervised deep learning for automatic behavior analysis

  • Unsupervised learning
  • Representaion learning
  • Automatic Behavior Analysis

Internship (Master Thesis)

2014 - 2015

Master thesis topic Hand gesture classification by Deep learning using infrared camera

  • Deep learning
  • Hand Gesture

Master Degree

2013 - 2015
KTH (Stockholm, Sweden)

Master degree in Computer Science and Artificial Intelligence

  • Artificial Intelligence
  • Machine Learning
  • Computer Vision

Master Degree

2012 - 2015
Politecnico di Torino (Torino, Italy)

Master degree in Software Engineering

Bachelor Degree

2009 - 2012
Politecnico di Torino (Torino, Italy)

Master degree in Computer Engineering

Skills & Proficiency