Dynamic Visual Localization and Segmentation with Laura Leal-Taixé

800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

In this episode I’m joined by Laura Leal-Taixé, Professor at the Technical University of Munich where she leads the Dynamic Vision and Learning Group, and 2017 recipient of prestigious Sofja Kovalevskaja Award.

In our conversation, we discuss several of her recent projects including work on image-based localization techniques that fuse traditional model-based computer vision approaches with a data-driven approach based on deep learning. We also discuss her paper on one-shot video object segmentation and the broader vision for her research, which aims to create tools for allowing individuals to better navigate cities using systems constructed from visual data.

Sign up for our Newsletter!

Be sure to sign up for our weekly newsletter. We recently shared a write up detailing the ML/AI Job Board we’re working on, and got a ton of encouragement and interest. To make sure you don’t miss anything, head over to twimlai.com/newsletter to sign up.

Vote for us!!

We’ve got some great news to share and also favor to ask! We’re in the running for this year’s People’s Choice podcast awards, in both the People’s Choice and Technology categories! Voting ends tomorrow, July 31st, and we’re extremely appreciative of everyone who has voted, commented, shared or otherwise! If you haven’t had a chance to vote yet, head over to our nomination page to find out how!

About Laura

Mentioned in the Interview

“More On That Later” by Lee Rosevere licensed under CC By 4.0

Leave a Reply

Your email address will not be published.