Daniel Wesierski
Gdansk University of Technology
Faculty of Electronics, Telecommunications, and Informatics
Multimedia Systems Department
ul. Narutowicza 11/12
80-233 Gdansk, Poland
tel.: +48 58 347 17 64
E-mail: daniel.wesierski[AT]pg.gda.pl

Research Interests
Computer vision, machine learning

About Me
I received M.Sc. in Automation and Robotics in 2007 from the Gdansk University of Technology. I gained corporate experience in R&D departments of ThyssenKrupp in Bremen and of Volkswagen in Wolfsburg in 2005-2009. I then received a Ph.D. degree in Computer Science from Telecom SudParis in 2013 under the supervision of Dr Patrick Horain. Now, I work at Multimedia Systems Department @ GUT, headed by Prof. Andrzej Czyzewski.

Office hours: Tuesday 12.00-13.00, Thursday 14.00-15.00, at office #640

Signal Processing (lab) - Spring 2014, Spring 2015, Spring 2016
Digital Signal Processing (lecture) - Fall 2013, Fall 2014, Spring 2015

PhD students
Sebastian Cygert (co-supervised with Prof. Andrzej Czyzewski)

Daniel Wesierski "Exploring the Entire Regularization Path for the Asymmetric Cost Linear Support Vector Machine", 2016, [ArXiv]

Daniel Wesierski, Grzegorz Wojdyga, and Anna Jezierska "Instrument Tracking with Rigid Part Mixtures Model", MICCAI Workshop on Computer-Assisted and Robotic Endoscopy (CARE), Munich, Germany, October 2015 [article] [demo]
Best Paper Award

Daniel Wesierski, Patrick Horain "Pose-Configurable Generic Tracking of Elongated Objects", International Conference on Computer Vision (ICCV) Sydney, Australia, December 2013 [article] [demo] [code+dataset]

Daniel Wesierski, Patrick Horain, and Zdzislaw Kowalczuk "EBE: Elastic Blob Ensemble for Coarse Human Tracking", International Conference on Image Processing (ICIP) Orlando, Florida, October 2012 [article]
Travel Grant Award

Daniel Wesierski, Maher Mkhinini, Patrick Horain, and Anna Jezierska "Fast Recursive Ensemble Convolution of Haar-like Features", Computer Vision and Pattern Recognition (CVPR) Providence, Rhode Island, June 2012 [article]

Anna Jezierska, Hugues Talbot, Olga Veksler, and Daniel Wesierski "A fast solver for truncated-convex priors: quantized-convex split moves", Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR) Saint Petersburg, Russia, July 2011 [article]

C++, Matlab

English - Certificate of Proficiency in English (CPE)
German - Zentrale Mittelstufenpruefung (ZMP)
French (conversational)
Polish (native)