Yunpeng Li

Affiliations:
  • École Polytechnique Fédérale de Lausanne, Switzerland
  • Cornell University, Department of Computer Science, Ithaca, NY, USA (PhD 2010)


According to our database1, Yunpeng Li authored at least 14 papers between 2008 and 2016.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2016
Worldwide Pose Estimation Using 3D Point Clouds.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2016

Recognizing Landmarks in Large-Scale Social Image Collections.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2016

2015
Learning Structured Models for Segmentation of 2-D and 3-D Imagery.
IEEE Trans. Medical Imaging, 2015

2013
Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Structured Image Segmentation Using Kernelized Features.
Proceedings of the Computer Vision - ECCV 2012, 2012

Worldwide Pose Estimation Using 3D Point Clouds.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Are spatial and global constraints really necessary for segmentation?
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Learning random field models for computer vision.
PhD thesis, 2010

Location Recognition Using Prioritized Feature Matching.
Proceedings of the Computer Vision, 2010

Generating sharp panoramas from motion-blurred videos.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Landmark classification in large-scale image collections.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008
Sparse Long-Range Random Field and Its Application to Image Denoising.
Proceedings of the Computer Vision, 2008

Learning for Optical Flow Using Stochastic Optimization.
Proceedings of the Computer Vision, 2008

Learning for stereo vision using the structured support vector machine.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008


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