NEWS! I am excited to announce that I will be joining the Department of Computer Science at the University of Virginia as Assistant Professor in the Fall 2016.
Vicente Ordóñez Román
Allen Institute for Artificial Intelligence (
Seattle, Washington
[email protected]
BIO:
I received my PhD in Computer Science at the University of North Carolina at Chapel Hill in 2015 advised by Prof. Tamara Berg.
I was previously at Stony Brook University where I obtained an MS in Computer Science.
During my studies I also spent time at Microsoft Research New England,
the eBay Research Labs Computer Vision group,
the Google Android Multimedia Content Analysis and
Google Research groups, and the Google Earth satellite image analysis team.
I'm a recipient of the 2013 IEEE Marr Prize in Computer Vision,
a 2012 Yahoo! Key Scientific Challenges Award,
and a Renaissance Technologies Fellowship (2009 - 2011).
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NEW! Learning to Name Objects
.
Communications of the ACM. CACM. (~Research Highlight)
(Accepted for publication, To Appear) -
Predicting Entry-Level Categories
.
International Journal of Computer Vision - Marr Prize Special Issue. IJCV 2015.
[pdf] [link] [bibtex] -
Large Scale Retrieval and Generation of Image Descriptions
.
International Journal of Computer Vision. IJCV 2015. [pdf] [link] [bibtex] -
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ReferItGame: Referring to Objects in Photographs of Natural Scenes
.
Empirical Methods on Natural Language Processing. EMNLP 2014. Doha, Qatar. October 2014.
[pdf] [project page] [game] [bibtex] (~Oral presentation) -
Learning High-level Judgments of Urban Perception
.
European Conference on Computer Vision. ECCV 2014. Zurich, Switzerland. September 2014.
[pdf][project page] [bibtex] -
TreeTalk: Composition and Compression of Trees for Image Descriptions
.
Transactions of the Association for Computational Linguistics. TACL 2014.
To be presented at EMNLP 2014 in Doha, Qatar. October 2014. [pdf] [bibtex] -
Furniture-Geek: Understanding Fine-Grained Furniture Attributes from Freely Associated Text and Tags
.
IEEE Winter Conference on Applications of Computer Vision. WACV 2014. Steamboat Springs, CO. March 2014.
[pdf][project page] [bibtex] -
From Large Scale Image Categorization to Entry-Level Categories
.
IEEE International Conference on Computer Vision. ICCV 2013. Sydney, Australia. December 2013.
[pdf] [supplemental material] [slides] [project page] [bibtex] (~Best Paper Award - Marr Prize)
(~Research Highlight of the Communications of the ACM) -
Generalizing Image Captions for Image-Text Parallel Corpus
.
Association for Computational Linguistics. ACL 2013. short. Sofia, Bulgaria. August 2013.
[pdf] [data+results] [bibtex] -
Baby Talk: Understanding and Generating Simple Image Descriptions
.
IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI 2013
[pdf] [link] [bibtex] -
Collective Generation of Natural Image Descriptions
.
Association for Computational Linguistics. ACL 2012. Jeju, South Korea. July 2012.
[pdf] [data] [bibtex] (~Oral presentation) -
Im2Text: Describing Images Using 1 Million Captioned Photographs
.
Advances in Neural Information Processing Systems. NIPS 2011. Granada, Spain. December 2011.
[pdf][code+dataset] [poster] [search tool] [bibtex] (~Spotlight presentation) -
High Level Describable Attributes for Predicting Aesthetics and Interestingness
.
IEEE Computer Vision and Pattern Recognition. CVPR 2011. Colorado Springs, CO. June 2011.
[pdf] [related code for saliency + low DoF attributes] [bibtex] -
The Ariadne Infrastructure for Managing and Storing Metadata
.
IEEE Internet Computing 2009 . Emerging Internet Technologies and Applications for E-learning.
[link]