Ayan Chakrabarti
Ayan Chakrabarti
Assistant Professor of Computer Science & Engineering, Washington University in St. Louis
確認したメール アドレス: wustl.edu - ホームページ
タイトル引用先
Statistics of real-world hyperspectral images
A Chakrabarti, T Zickler
CVPR 2011, 193-200, 2011
2272011
Analyzing spatially-varying blur
A Chakrabarti, T Zickler, WT Freeman
CVPR 2010, 2512-2519, 2010
1682010
Color constancy with spatio-spectral statistics
A Chakrabarti, K Hirakawa, T Zickler
IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (8), 1509-1519, 2011
166*2011
Super-resolution of face images using kernel PCA-based prior
A Chakrabarti, AN Rajagopalan, R Chellappa
IEEE Transactions on Multimedia 9 (4), 888-892, 2007
1492007
A neural approach to blind motion deblurring
A Chakrabarti
European conference on computer vision, 221-235, 2016
1082016
An empirical camera model for internet color vision
A Chakrabarti, D Scharstein, T Zickler
British Machine Vision Conference, 2009
802009
Depth and deblurring from a spectrally-varying depth-of-field
A Chakrabarti, T Zickler
European Conference on Computer Vision, 648-661, 2012
582012
Depth from a single image by harmonizing overcomplete local network predictions
A Chakrabarti, J Shao, G Shakhnarovich
Advances in Neural Information Processing Systems, 2658-2666, 2016
552016
Color constancy beyond bags of pixels
A Chakrabarti, K Hirakawa, T Zickler
Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on …, 2008
472008
From shading to local shape
Y Xiong, A Chakrabarti, R Basri, SJ Gortler, DW Jacobs, T Zickler
IEEE transactions on pattern analysis and machine intelligence 37 (1), 67-79, 2014
462014
Examining the impact of blur on recognition by convolutional networks
I Vasiljevic, A Chakrabarti, G Shakhnarovich
arXiv preprint arXiv:1611.05760, 2016
442016
Low-level vision by consensus in a spatial hierarchy of regions
A Chakrabarti, Y Xiong, SJ Gortler, T Zickler
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
332015
Modeling radiometric uncertainty for vision with tone-mapped color images
A Chakrabarti, Y Xiong, B Sun, T Darrell, D Scharstein, T Zickler, ...
IEEE transactions on pattern analysis and machine intelligence 36 (11), 2185 …, 2014
272014
Learning sensor multiplexing design through back-propagation
A Chakrabarti
Advances in Neural Information Processing Systems, 3081-3089, 2016
242016
Learning object color models from multi-view constraints
T Owens, K Saenko, A Chakrabarti, Y Xiong, T Zickler, T Darrell
CVPR 2011, 169-176, 2011
222011
Stabilizing gan training with multiple random projections
B Neyshabur, S Bhojanapalli, A Chakrabarti
arXiv preprint arXiv:1705.07831, 2017
202017
Rethinking color cameras
A Chakrabarti, WT Freeman, T Zickler
2014 IEEE International Conference on Computational Photography (ICCP), 1-8, 2014
172014
Image restoration with signal-dependent camera noise
A Chakrabarti, T Zickler
arXiv preprint arXiv:1204.2994, 2012
152012
Single-image rgb photometric stereo with spatially-varying albedo
A Chakrabarti, K Sunkavalli
2016 Fourth International Conference on 3D Vision (3DV), 258-266, 2016
142016
Color constancy by learning to predict chromaticity from luminance
A Chakrabarti
Advances in Neural Information Processing Systems, 163-171, 2015
142015
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