vicenteordonez.com - Vicente Ordonez's Homepage

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My research lies at the intersection of Computer Vision, Natural Language Processing and Machine Learning. I am especially interested in analyzing, and mining useful human insights from enormous amounts of images with associated text to improve visual recognition. I am generally interested in building efficient visual recognition models that can perform high-level perceptual tasks. More recently, I am also involved in research on fairness and accountability in machine learning applications.

I'm Associate Professor in the Department of Computer Science at Rice University where I lead the Vision, Language, and Learning Lab and I'm an Amazon Visiting Academic at Amazon Alexa AI . From 2016-2021 I was an Assistant Professor in the Department of Computer Science at the University of Virginia. In the past, I have also been visiting professor at Adobe Research and visiting researcher at the Allen Institute for Artificial Intelligence (AI2) . I received my PhD in Computer Science at the University of

Facial Recognition Technologies in the Wild: A Call for a Federal Office Facial Recognition Technologies: A Primer [Companion Document] Erik Learned-Miller, Vicente Ordóñez, Jamie Morgenstern, Joy Buolamwini. This whitepaper makes the case for a federal office in charge of regulating Face Recognition Technologies (FRTs). We argue that benchmarks are insufficient for determining the appropriateness for FRTs and a more holstic approach is needed that takes into account technical, societal and legal challenges

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