Bio

Ph.D.​ The University of North Carolina at Chapel Hill, 2015M.S. Stony Brook University (SUNY), 2013​Eng. Escuela Superior Politécnica del Litoral, 2008

"Our group builds systems that can describe visual information using natural language and learn to do so efficiently from large amounts of data."

Vicente Ordonez-Roman, Assistant Professor

Please visit the academic webpage that I actively maintain: http://vicenteordonez.com

I'm Assistant Professor in the Department of Computer Science at the University of Virginia. I also spent a year as visiting research fellow at the Allen Institute for Artificial Intelligence (AI2) n the Computer Vision group. 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. I am also interested in big scale visual analytics by learning models that can perform high-level perceptual tasks for applications in social media, urban computing, and everyday activities. I'm a recipient of the 2013 IEEE Marr Prize in Computer Vision, Best Long Paper Award at EMNLP 2017, and Faculty Awards from Google and IBM Research.

Awards

  • Google Faculty Research Award 2017
  • IBM Faculty Award 2017
  • EMNLP Best Paper Award 2017
  • IEEE Marr Prize -- ICCV Best Paper Award 2013
  • Yahoo Key Scientific Challenges Award 2012

Research Interests

  • Computer Vision
  • Machine Learning
  • Natural Language Processing

Selected Publications

  • Feedback-prop: Convolutional Neural Network Inference under Partial Evidence. CVPR 2018. Salt Lake City, Utah. ABS Tianlu Wang, Kota Yamaguchi, Vicente Ordonez.
  • Obj2Text: Generating Visually Descriptive Language from Object Layouts. Conference on Empirical Methods in Natural Language Processing. EMNLP 2017. Copenhagen, Denmark. ABS Xuwang Yin, Vicente Ordonez
  • Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints (Best Long Paper Award). Conference on Empirical Methods in Natural Language Processing. EMNLP 2017. Copenhagen, Denmark. ABS Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang.
  • Commonly Uncommon: Semantic Sparsity in Situation Recognition. Intl. Conference on Computer Vision and Pattern Recognition. CVPR 2017. Honolulu, Hawaii. July 2017. ABS Mark Yatskar, Vicente Ordonez, Luke Zettlemoyer Ali Farhadi.
  • XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks. European Conference on Computer Vision. ECCV 2016. Amsterdam, The Netherlands. October 2016. ABS Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi.
  • Learning High-level Judgments of Urban Perception. European Conference on Computer Vision. ECCV 2014. Zurich, Switzerland. September 2014. ABS Vicente Ordonez, Tamara L. Berg.
  • From Large Scale Image Categorization to Entry-Level Categories (Marr Prize, Best Paper Award). IEEE International Conference on Computer Vision. ICCV 2013. Sydney, Australia. December 2013. ABS Vicente Ordonez, Jia Deng, Yejin Choi, Alexander C. Berg, Tamara L. Berg.