Vicente Ordóñez Román

Assistant Professor
Department of Computer Science
University of Virginia
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 also interested in building efficient visual recognition models that can perform high-level perceptual tasks for applications in social media, urban computing, and everyday activities. More recently, I am also involved in research on fairness and accountability in machine learning applications.
About me

I'm Assistant Professor in the Department of Computer Science at the University of Virginia. Before this, I spent a year as visiting researcher at the Allen Institute for Artificial Intelligence (AI2) in Seattle. I received my PhD in Computer Science at the University of North Carolina at Chapel Hill in 2015 advised by Prof. Tamara Berg. Previously, I obtained an MS in Computer Science at Stony Brook University (SUNY) and an engineering degree at the Escuela Superior Politécnica del Litoral in Ecuador. I'm a recipient of a Best -Long- Paper Award at the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP), and the Best Paper -Marr Prize- Award at the 2013 International Conference in Computer Vision (ICCV). Here is a link to an official [bio], and my [curriculum vitae].

News and updates
  • Received an IBM Faculty Award 2017. Thanks IBM!
  • Quoted in The Cavalier Daily [1] [2] and WIRED [3].
  • 08/21/2017. Our work at UVA with UCLA's NLP Group gets coverage in WIRED, Daily Mail, The Times of London, Glamour, Bloomberg.
  • Best --Long-- Paper Award at EMNLP 2017~!
  • 2 long papers accepted to EMNLP 2017, 1 paper accepted to CVPR 2017
  • 10/30/2016. Our work at the Allen Institute on accelerating neural networks gets featured in the New York Times and UW CSE News.
I'm also co-organizing with students in my group the
UVA Computer Vision seminar. I also co-direct with Paul Humphreys the Human and Machine Intelligence seminar.
Research Group

Shanmin Pang (Visiting Scholar), Tianlu Wang (PhD Student), Xuwang Yin (PhD Student), Ziyan Yang (PhD Student -- rotation advisor), Fuwen Tan (PhD Student -- temporary advisor), Fengyang Zhang (MSc Student), Abhimanyu Banerjee (MSc Student), Anudeep Konda (MSc Student), KS Sivaraman (MSc Student), Vijay Edupuganti (Undergraduate student), Arun Kannan (Undergraduate Student).

Publications Current and recent collaborators: Paola Cascante (Tecnológico de Costa Rica), Polina Kuznetsova (Facebook), Kota Yamaguchi (CyberAgent Inc), Mark Yatskar (University of Washington), Kai-Wei Chang (University of California Los Angeles), Jieyu Zhao (University of California Los Angeles), Fuwen Tan (University of Virginia), Connelly Barnes (University of Virginia), Mohammad Rastegari (Allen Institute for Artificial Intelligence), Ali Farhadi (University of Washington), Joseph Redmon (University of Washington), Luke Zettlemoyer (University of Washington), Yejin Choi (University of Washington), Jia Deng (University of Michigan), Alexander Berg (University of North Carolina at Chapel Hill), Wei Liu (University of North Carolina at Chapel Hill), Tilsa Ore (Stony Brook University).
Department of Computer Science @ The University of Virginia ‒ 85 Engineer's Way, Rice Hall, Charlottesville, VA 22904-4740