(less awesome but more recent me:
Computer Science Department
Room 242, Gates Building 2A
Stanford, CA 94305
I am a PhD student working on computer vision with
Prof. Fei-Fei Li,
focusing on large-scale object detection.
I also collaborate with
Yuanqing Lin and the rest of
the Media Analytics
group at NEC Labs America,
as well as with Jia Li at Yahoo! labs.
- December 2014: We're organizing two workshops and a tutorial at CVPR2015:
- September 2014: This year's ImageNet challenge
and our paper
are featured in the
New York Times,
MIT Technology Review,
Neuen Zürcher Zeitung,
- September 2014: Our new paper which describes the collection of the ImageNet Large Scale Visual Recognition Challenge dataset, analyzes the results of the past five years of the challenge, and even compares current computer accuracy with human accuracy is now available.
- May 2014: We are running the ImageNet Large Scale Visual Recognition Challenge 2014. This year we doubled the number of images fully annotated with 200 object categories in the detection challenge, from 60K to 120K. We are welcoming a broad range of entries, including submissions
from teams which may not wish to reveal the details of their methods and from teams which use extra data for training their models.
arXiv:1409.0575 (and in submission to IJCV), 2014.
ACM Conference on Human Factors in Computing Systems (CHI), 2014.
International Conference on Computer Vision (ICCV), 2013.
European Conference on Computer Vision (ECCV), 2012.
Parts and Attributes Workshop at European Conference on Computer Vision (ECCV), 2010.
Computer Vision and Pattern Recognition (CVPR), 2010.
International Conference on Robotics and Automation (ICRA), 2010.
Advances in Neural Information Processing Systems (NIPS), 2007.
- is a large-scale image
database organized according to the
WordNet hierarchy, in which
each node of the hierarchy is depicted by hundreds and thousands of
images. I am part of the team working on maintaining and
- The STAIR Vision
library contains a range of software infrastructure for computer
vision, machine learning, and probabilistic graphical models written
in C++. I was one of the core developers.
- The STAIR: STanford AI Robot project aimed to build a robot that could navigate home and office environments, pick up and interact with objects and tools, and intelligently converse with and help people in these environments. I was the lead of the computer vision team 2008-2010.