Xiyang Luo
Cited by
Cited by
Distortion agnostic deep watermarking
X Luo, R Zhan, H Chang, F Yang, P Milanfar
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Uncertainty Quantification in Graph-Based Classification of High Dimensional Data
AL Bertozzi, X Luo, AM Stuart, KC Zygalakis
SIAM/ASA Journal on Uncertainty Quantification 6 (2), 568-595, 2018
Seq2Slate: Re-ranking and slate optimization with RNNs
I Bello, S Kulkarni, S Jain, C Boutilier, E Chi, E Eban, X Luo, A Mackey, ...
arXiv preprint arXiv:1810.02019, 2018
Graph-based deep modeling and real time forecasting of sparse spatio-temporal data
B Wang, X Luo, F Zhang, B Yuan, AL Bertozzi, PJ Brantingham
arXiv preprint arXiv:1804.00684, 2018
Laplacian smoothing gradient descent
S Osher, B Wang, P Yin, X Luo, F Barekat, M Pham, A Lin
Research in the Mathematical Sciences 9 (3), 55, 2022
Convergence of the graph Allen–Cahn scheme
X Luo, AL Bertozzi
Journal of Statistical Physics 167, 934-958, 2017
Deep neural nets with interpolating function as output activation
B Wang, X Luo, Z Li, W Zhu, Z Shi, S Osher
Advances in neural information processing systems 31, 2018
The rate-distortion-accuracy tradeoff: Jpeg case study
X Luo, H Talebi, F Yang, M Elad, P Milanfar
arXiv preprint arXiv:2008.00605, 2020
DVMark: a deep multiscale framework for video watermarking
X Luo, Y Li, H Chang, C Liu, P Milanfar, F Yang
IEEE Transactions on Image Processing, 2023
Better compression with deep pre-editing
H Talebi, D Kelly, X Luo, IG Dorado, F Yang, P Milanfar, M Elad
IEEE Transactions on Image Processing 30, 6673-6685, 2021
A study on graph-structured recurrent neural networks and sparsification with application to epidemic forecasting
Z Li, X Luo, B Wang, AL Bertozzi, J Xin
Optimization of Complex Systems: Theory, Models, Algorithms and Applications …, 2020
Deep 3d-to-2d watermarking: embedding messages in 3d meshes and extracting them from 2d renderings
I Yoo, H Chang, X Luo, O Stava, C Liu, P Milanfar, F Yang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Uncertainty quantification for semi-supervised multi-class classification in image processing and ego-motion analysis of body-worn videos
Y Qiao, C Shi, C Wang, H Li, M Haberland, X Luo, AM Stuart, AL Bertozzi
Electronic Imaging 2019 (11), 264-1-264-7, 2023
Mammut: A simple architecture for joint learning for multimodal tasks
W Kuo, AJ Piergiovanni, D Kim, X Luo, B Caine, W Li, A Ogale, L Zhou, ...
arXiv preprint arXiv:2303.16839, 2023
Spatial and semantic augmented reality autocompletion in an augmented reality environment
R Chojnacka, M Oktem, R Patel, U Idnani, X Luo
US Patent 11,158,128, 2021
Convolutional Laplacian sparse coding
X Luo, B Wohlberg
2016 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI …, 2016
Constrained classification and ranking via quantiles
A Mackey, X Luo, E Eban
arXiv preprint arXiv:1803.00067, 2018
Deep learning with data dependent implicit activation function
B Wang, X Luo, Z Li, W Zhu, Z Shi, SJ Osher
CoRR, abs/1802.00168, 2018
LECA: A learned approach for efficient cover-agnostic watermarking
X Luo, M Goebel, E Barshan, F Yang
arXiv preprint arXiv:2206.10813, 2022
Gifnets: Differentiable gif encoding framework
I Yoo, X Luo, Y Wang, F Yang, P Milanfar
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
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