CV - Patrick Dendorfer

Education

	Technical University of Munich Ph.D. candidate at the Dynamic Vision and Learning Group Ph.D. supervision under Prof. Dr. Laura Leal-Taixé and member of research chair of Prof. Dr. Daniel Cremers Focussing on Pedestrian Trajectory Prediction and Multi-Object Tracking Supervising Bachelor’s and Master’s theses and teaching Master’s courses				2018 - now
	Master Thesis University of Oxford, CABDyN Center Master thesis at the CABDyN Complex Center: "Scalable Parameter Estimation on Large Scale Networks" Member of Green Templeton College				Aug 2016 - Sep 2017
	Master of Science (M.Sc.), Physics Ludwig-Maximilians Universität München Specialized in nonlinear dynamics, stochastic processes, and network theory				Sep 2014 - Oct 2017
	ERASMUS Exchange Universidade de Lisboa				Sep 2014 - Jul 2017
	Bachelor of Science (B.Sc.), Physics Ludwig-Maximilians Universität München Thesis: "Effect of anisotropic noise source distribution on ambient noise correlations"				Sep 2011 - Jul 2014

Working Experience

	Research Intern (Prediction) Argo AI Building Deep Learning augmentation and simulation tool for vehicle trajectories				April 2021 - Aug 2021
	Consulting Intern Bain & Company, Munich Proof of concept for applying machine learning in input management for insurance company Evaluated business case for different technical solutions regarding costs and performance Helped building and improving SVM model and neural nets Communicated results and machine learning approach to client				Oct 2017 - Dec 2017
	Consulting Intern KPMG, Munich Developed and implemented mathematical models in the in the context of credit risk impairment under IFRS 9 in VBA and R Carried out research on topics related to credit risk and impairment under IFRS 9 Created presentations on risk management methods and modelling results				Apr 2016 - Jul 2016
	Insurance Intern Alliance Insurance, Munich Performed competitors and market analysis Developed marketing strategies to merchandise the products				Sep 2015 - Oct 2015

Skills

Languages:	German (mother tongue) English (fluent, C2) Portuguese (intermediate, B1)
Programming:	Python Javascript Matlab R C++ (basics) MySQL HTML/CSS PHP
Python Libraries:	Pytorch Pytorch-Lightning openCV scipy tensorboard pandas

Conference Workshops

	How Far Can Synthetic Data Take us? 7th Workshop on Benchmarking Multi-Target Tracking CVPR 22, New Orleans, USA				Jun 2022
	Segmenting and Tracking Every Point and Pixel: 6th Workshop on Benchmarking Multi-Target Tracking ICCV 21, virtual				Oct 2021
	Robust Video Scene Understanding: Tracking and Video Segmentation CVPR 21, virtual				Jun 2021
	5th BMTT MOTChallenge Workshop: Multi-Object Tracking and Segmentation CVPR 20, virtual				Jun 2020
	4th BMTT MOTChallenge Workshop: - How crowded can it get CVPR 19, Long Beach, USA				Jun 2019

Teaching

	Computer Vision 3: Detection, Segmentation and Tracking (CV3DST) (IN2375) Guest Lecturer, Technical University Munich Lecture online here				Summer 20
	Introduction to Deep Learning (I2DL) (IN2346) Teaching exercise sessions, Technical University Munich				Summer 20
	Computer Vision 3: Detection, Segmentation and Tracking (CV3DST) (IN2375) Guest Lecturer, Technical University Munich				Winter 19/20
	Introduction to Deep Learning (I2DL) (IN2346) Teaching exercise sessions, Technical University Munich				Summer 19
	Introduction to Deep Learning (I2DL) (IN2346) Teaching exercise sessions, Technical University Munich				Winter 18/19