Career Profile

AI research scientist in the oncology department at Lunit. Prior applied scientist at AWS. 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 processing. In 2019 I successfully completed an internship at AWS in Pasadena under the supervision of Prof. Pietro Perona.

A detailed list of publications can be found here.

News

January 2022
Begin my journey to fight cancer using AI with Lunit in the oncology department
April 2021
Our new paper (uBAM) has officially been published at Nature Machine Intelligece!
December 2020
Defending my PhD Thesis. Magna cum Laude
October 2020
Starting a new position as Applied Scientist with AWS
June 2020
Outstanding Reviewer at CVPR 2020
June 2020
Article on Amazon Science https://www.amazon.science/blog/video-classifiers-learn-to-recognize-actions-they've-never-seen
February 2020
The work done during my internship was accepted as publication at CVPR 2020
July 2019
Begin Amazon AWS intership with P.Perona in Pasadena, CA
July 2019
One paper accepted at 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
2018
Paper accepted as poster at ECCV18 in Munich, Germany
2017
Attending the Workshop on Behavior Analysis (BAFA, Better Analysis Fewer Animals) in Utrecht, Netherlands
2017
Paper accepted as poster at CVPR17 in Honolulu, Hawaii

Publications

Unsupervised behaviour analysis and magnification (uBAM) using deep learning
B. Brattoli*, U. Büchler*, M. Dorkenwald, P. Reiser, F. Helmchen, A. S. Wahl, B. Ommer
Nature Machine Intelligence, 2021
Sharing Matters for Generalization in Deep Metric Learning
T. Milbich*, K. Roth*, B. Brattoli, B. Ommer
tPAMI, 2020
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
B. Brattoli, J. Tighe, F. Zhdanov, P. Perona, K. Chalupka
CVPR, 2020
MIC: Mining Interclass Characteristics for Improved Metric Learning
B. Brattoli*, K. Roth*, B. Ommer
ICCV, 2019
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

Career

Research Scientist full-time at Lunit

2022 Jan - current
Germany (Remote)

Applied Scientist full-time at AWS

2020 Oct - 2021 Dec
Germany (Remote)

Applied Scientists Intern at AWS

2019 July - Dec
P. Perona, Pasadena, CA, USA

PhD in Computer vision and Machine learning

2015 - 2020
Heidelberg University

Unsupervised deep learning for automatic behavior analysis

  • Unsupervised learning
  • Representaion learning
  • Automatic Behavior Analysis

Internship (Master Thesis)

2014 - 2015
Tobii

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