Huixuan Tang

According to our database1, Huixuan Tang authored at least 15 papers between 2005 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Aria Everyday Activities Dataset.
CoRR, 2024

2023
Project Aria: A New Tool for Egocentric Multi-Modal AI Research.
CoRR, 2023

2020
Raycast Calibration for Augmented Reality HMDs with Off-Axis Reflective Combiners.
Proceedings of the 2020 IEEE International Conference on Computational Photography, 2020

2018
Modeling and Analysis of Optical Blur for Everyday Photography.
PhD thesis, 2018

2017
Depth from Defocus in the Wild.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015
High Resolution Photography with an RGB-Infrared Camera.
Proceedings of the 2015 IEEE International Conference on Computational Photography, 2015

2014
Blind Image Quality Assessment Using Semi-supervised Rectifier Networks.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
What does an aberrated photo tell us about the lens and the scene?
Proceedings of the IEEE International Conference on Computational Photography, 2013

2012
Utilizing Optical Aberrations for Extended-Depth-of-Field Panoramas.
Proceedings of the Computer Vision, 2012

2011
A Markov Random Field Model for Image Segmentation Based on Gestalt Laws.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Learning a blind measure of perceptual image quality.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2009
Detail Recovery for Single-image Defocus Blur.
IPSJ Trans. Comput. Vis. Appl., 2009

2007
A Coarse-to-Fine Method for Shape Recognition.
J. Comput. Sci. Technol., 2007

2005
CTFDP: An Affine Invariant Method for Matching Contours.
Proceedings of the Advances in Machine Learning and Cybernetics, 2005

Shape Recognition with Coarse-to-Fine Point Correspondence Under Image Deformations.
Proceedings of the Cognitive Systems, Joint Chinese-German Workshop, Shanghai, 2005


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