Huixuan Tang

Most-cited papers

Project Aria: A New Tool for Egocentric Multi-Modal AI Research
Jakob J. Engel, K. Somasundaram, M. Goesele, Albert Sun +70 more
2023arXiv.org296 citations Open access
Semantic Scholar
Learning a blind measure of perceptual image quality
Huixuan Tang, Neel Joshi, Ashish Kapoor
2011Computer Vision and Pattern Recognition283 citations
Semantic Scholar
Blind Image Quality Assessment Using Semi-supervised Rectifier Networks
Huixuan Tang, Neel Joshi, Ashish Kapoor
20142014 IEEE Conference on Computer Vision and Pattern Recognition110 citations
Semantic Scholar
Depth from Defocus in the Wild
Huixuan Tang, Scott D. Cohen, Brian L. Price, S. Schiller +1 more
2017Computer Vision and Pattern Recognition62 citations
Semantic Scholar
Aria Everyday Activities Dataset
Zhao-Yang Lv, Nicholas Charron, Pierre Moulon, Alexander Gamino +20 more
2024arXiv.org48 citations
Semantic Scholar
High Resolution Photography with an RGB-Infrared Camera
Huixuan Tang, Xiaopeng Zhang, Shaojie Zhuo, F. Chen +2 more
2015International Conference on Computational Photography40 citations
Semantic Scholar
What does an aberrated photo tell us about the lens and the scene?
Huixuan Tang, Kiriakos N. Kutulakos
2013International Conference on Computational Photography29 citations Open access
Semantic Scholar
Utilizing Optical Aberrations for Extended-Depth-of-Field Panoramas
Huixuan Tang, Kiriakos N. Kutulakos
2012Asian Conference on Computer Vision17 citations
Semantic Scholar
Detail Recovery for Single-image Defocus Blur
Yu-Wing Tai, Huixuan Tang, M. S. Brown, Stephen Lin
2009IPSJ Transactions on Computer Vision and Applications17 citations Open access
Semantic Scholar
Raycast Calibration for Augmented Reality HMDs with Off-Axis Reflective Combiners
Qi Guo, Huixuan Tang, Aaron Schmitz, Wenqi Zhang +4 more
2020International Conference on Computational Photography6 citations
Semantic Scholar
A Markov Random Field Model for Image Segmentation Based on Gestalt Laws
Yuan Ren, Huixuan Tang, Hui Wei
2011International Conference on Neural Information Processing6 citations
Semantic Scholar
A Comparative Evaluation of Deep Belief Nets in Semi-supervised Learning
Huixuan Tang
20083 citations
Semantic Scholar
A Coarse-to-Fine Method for Shape Recognition
Huixuan Tang, Hui Wei
2007Journal of Computational Science and Technology3 citations
Semantic Scholar
Modeling and Analysis of Optical Blur for Everyday Photography
Huixuan Tang
20181 citations
Semantic Scholar
Depth map generation
Huixuan Tang, S. 科恩, S. 席勒, B. 普赖斯
20151 citations
Semantic Scholar
Detail Recovery for Single-image Defocus Blur (IPSJ Transactions on Computer Vision and Applications Vol.1)
Yu-Wing Tai, Huixuan Tang, Michael S. Brown
20091 citations
Semantic Scholar
A Coarse-to-Fine Method for Shape Recognition
Huixuan Tang, Hui Wei
20071 citations
Semantic Scholar
Supplemental Materials for Depth from Defocus in the Wild
Huixuan Tang, Scott D. Cohen, Brian L. Price, S. Schiller +1 more
20170 citations
Semantic Scholar
Figure-ground Separation by Contour Statistics and Markov Random Field Model: Figure-ground Separation by Contour Statistics and Markov Random Field Model
Huixuan Tang, Hui Wei
20090 citations
Semantic Scholar
Lobe Component Analysis Derives Disparity-Selective Filters
Huixuan Tang, Hui Wei
2006International Conference on Machine Learning and Computing0 citations
Semantic Scholar
CTFDP: an affine invariant method for matching contours
Huixuan Tang, Hui Wei
2005International Conference on Machine Learning and Computing0 citations
Semantic Scholar
Shape Recognition with Coarse-to-Fine Point Correspondence Under Image Deformations
Huixuan Tang, Hui Wei
2005Cognitive Systems0 citations
Semantic Scholar
A structural representing and learning model based on biological neural mechanism
Hui Wei, Huixuan Tang
2004Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826)0 citations
Semantic Scholar