Ian Endres


Since Fall 2008, I've been a PhD student focusing on computer vision and machine learning. I'm currently in my 5th and final year.

My research extends the reach of recognition systems by using general knowledge of scenes and object properties to recognize any object with as much detail as possible. Depending on the knowledge available for a given object, predictions range in specificity from the location of an unknown object to highly detailed taxonomic classifi cation, localization, pose estimation, and segmentation.

I'm advised by David Forsyth and Derek Hoiem.

Publications

2013
“Learning Collections of Part Models for Object Recognition” [pdf]
Ian Endres, Kevin J. Shih, Johnston Jiaa, and Derek Hoiem
CVPR 2013.
2012
“Learning Shared Body Plans” [pdf][slides][website]
Ian Endres, Vivek Srikumar, Ming-Wei Chang, and Derek Hoiem
CVPR 2012.
“Building a Dictionary of Image Fragments” [pdf]
Zicheng Liao, Ali Farhadi, Yang Wang, Ian Endres, and David Forsyth
CVPR 2012.
2010
“Category Independent Object Proposals” [pdf][slides][website]
Ian Endres, and Derek Hoiem
ECCV 2010.
“Attribute-Centric Recognition for Cross-category Generalization” [pdf][website]
Ali Farhadi, Ian Endres, and Derek Hoiem
CVPR 2010.
“The Benefits and Challenges of Collecting Richer Object Annotations” [pdf][slides]
Ian Endres, Ali Farhadi, Derek Hoiem, and David Forsyth
ACVHL 2010 (in conjunction with CVPR).
“It's All About the Data”
Tamara L. Berg, Alexander Sorokin, Gang Wang, David Forsyth, Derek Hoiem, Ian Endres, Ali Farhadi
Proceedings of the IEEE, Special Issue on Internet Vision.
2009
“Unlabeled Data Improves Word Prediction” [pdf]
Nicolas Loeff, Ali Farhadi, Ian Endres, and David Forsyth
ICCV 2009.
“A Latent Model of Discriminative Aspect” [pdf]
Ali Farhadi, Mostafa Kamali Tabrizi, Ian Endres, and David Forsyth
ICCV 2009.
“Describing Objects by their Attributes” [pdf][website]
Ali Farhadi, Ian Endres, Derek Hoiem, and David Forsyth
CVPR 2009.

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