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Shuochen Su
Shuochen Su
Meta Reality Labs
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Title
Cited by
Cited by
Year
Deep Video Deblurring for Hand-held Cameras
S Su, M Delbracio, J Wang, G Sapiro, W Heidrich, O Wang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
4252017
Deep Video Deblurring
S Su, M Delbracio, J Wang, G Sapiro, W Heidrich, O Wang
arXiv preprint arXiv:1611.08387, 2016
425*2016
Deep End-to-End Time-of-Flight Imgaing
S Su, F Heide, G Wetzstein, W Heidrich
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018
722018
Rolling shutter motion deblurring
S Su, W Heidrich
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
622015
Computational imaging using lightweight diffractive-refractive optics
Y Peng, Q Fu, H Amata, S Su, F Heide, W Heidrich
Optics express 23 (24), 31393-31407, 2015
592015
Material classification using raw time-of-flight measurements
S Su, F Heide, R Swanson, J Klein, C Callenberg, M Hullin, W Heidrich
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
462016
Bayesian depth-from-defocus with shading constraints
C Li, S Su, Y Matsushita, K Zhou, S Lin
IEEE Transactions on Image Processing 25 (2), 589-600, 2016
242016
Bayesian depth-from-defocus with shading constraints
C Li, S Su, Y Matsushita, K Zhou, S Lin
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
242013
Video deblurring using neural networks
O Wang, J Wang, S Su
US Patent 10,289,951, 2019
152019
Toward Practical Monocular Indoor Depth Estimation
CY Wu, J Wang, M Hall, U Neumann, S Su
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
12022
Dynamic structured light for depth sensing systems based on contrast in a local area
M Hall, X Liu, Z Zhu, RL Chhabria, H Tang, S Su, Z Gao
US Patent App. 17/504,004, 2022
2022
Devices and methods for determining confidence in stereo matching using a classifier-based filter
RL Chhabria, S Su
US Patent App. 17/074,495, 2022
2022
Infrared and non-infrared channel blender for depth mapping using structured light
RL Chhabria, S Su, M Stewart, D Vakrat, S Xie, M Hall
US Patent App. 17/069,709, 2022
2022
Multi-channel depth estimation using census transforms
M Hall, X Liu, Z Zhu, RL Chhabria, H Tang, S Su
US Patent App. 17/230,109, 2022
2022
Time of flight depth system including an illumination source with addressable illumination blocks
AR Ximenes, M Hall, Z Zhu, S Su
US Patent App. 17/138,537, 2021
2021
Dynamic illumination control for depth determination
F Li, Z Gao, M Hall, Z Zhu, S Su, H Tang, X Liu, ND Trail
US Patent 11,195,291, 2021
2021
Toward Practical Self-Supervised Monocular Indoor Depth Estimation
CY Wu, J Wang, M Hall, U Neumann, S Su
arXiv preprint arXiv:2112.02306, 2021
2021
Dynamic depth determination
N Grossinger, M Hall, R Hasbun, N Kantor, AB Nieuwoudt, S Su, ...
US Patent App. 17/329,888, 2021
2021
Dynamic structured light for depth sensing systems based on contrast in a local area
M Hall, X Liu, Z Zhu, RL Chhabria, H Tang, S Su, Z Gao
US Patent 11,182,914, 2021
2021
Multi-channel depth estimation using census transforms
M Hall, X Liu, Z Zhu, RL Chhabria, H Tang, S Su
US Patent 11,010,911, 2021
2021
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