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.
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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.
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Mentioned in the Interview
- Paper: One-Shot Video Object Segmentation
- Paper: Video Object Segmentation Without Temporal Information
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“More On That Later” by Lee Rosevere licensed under CC By 4.0