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Wrong Tomasz Malisiewicz?

Tomasz J. Malisiewicz

Principal Engineer

Magic Leap

HQ Phone:  (954) 889-7010

Email: t***@***.com

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I agree to the Terms of Service and Privacy Policy. I understand that I will receive a subscription to ZoomInfo Community Edition at no charge in exchange for downloading and installing the ZoomInfo Contact Contributor utility which, among other features, involves sharing my business contacts as well as headers and signature blocks from emails that I receive.

Magic Leap

1855 Griffin Road Suite B454

Dania, Florida,33004

United States

Company Description

Magic Leap, Inc. is defining the future of computing, entertainment, communication, education, and play. As the leading pioneer in digital lightfield technology, Magic Leap is developing a new Mixed Reality computing platform that will enable people to interac...more

Background Information

Employment History

Year PhD Student

Carnegie Mellon University


Graduate Student

CMU


Affiliations

Vision.ai

Co-Founder


Education

Carnegie Mellon University


Masters


undergraduate degree

Rensselaer Polytechnic Institute


Web References(13 Total References)


Practical Python and OpenCV: Learn Computer Vision in a Single Weekend

www.pyimagesearch.com [cached]

Dr. Tomasz Malisiewicz of Vision.ai
Dr. Tomasz Malisiewicz Co-Founder of Vision.ai Enjoy a 100% money back guarantee.


Building an Image Search Engine: Indexing Your Dataset (Step 2 of 4) - PyImageSearch

www.pyimagesearch.com [cached]

Tomasz Malisiewicz February 10, 2014 at 9:02 pm #


How To Describe and Quantify an Image Using Feature Vectors

www.pyimagesearch.com [cached]

Tomasz Malisiewicz March 4, 2014 at 7:56 pm #


Histogram of Oriented Gradients and Object Detection - PyImageSearch

www.pyimagesearch.com [cached]

When I couldn't find one, I chatted with my friend Dr. Tomasz Malisiewicz, who has spent his entire career working with object detector algorithms and the HOG descriptor.
There is literally no one that I know who has more experience in this area than Tomasz. And if you've ever read any of his papers, you'll know why. His work is fantastic. Anyway, after chatting with him, he pointed me to two MATLAB implementations. The first is based on the work by Felzenszwalb et al. and their deformable parts model. The second method is implemented by Tomasz himself for his Exemplar SVM project which he used for his dissertation and his ICCV 2011 paper, Ensemble of Exemplar-SVMs for Object Detection and Beyond.


Non-Maximum Suppression for Object Detection in Python - PyImageSearch

www.pyimagesearch.com [cached]

When I first implemented my Python object detection framework I was unaware of a good Python implementation for Non-Maximum Suppression, so I reached out to my friend Dr. Tomasz Malisiewicz, whom I consider to be the "go to" person on the topic of object detection and HOG.
Tomasz, being the all-knowing authority on the topic referred me to two implementations in MATLAB which I have since implemented in Python. We're going to review the first method by Felzenszwalb etl al. Then, next week, we'll review the (faster) non-maximum suppression method implemented by Tomasz himself.


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