Xiyang Luo

ORCID

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 28

Top Venues

CoRR

CVPR

DCC

Image Processing: Algorithms and Systems

University of California, Los Angeles, USA (PHD)

Education History

University of California, Los Angeles, USA

PHD

Publications

Weicheng Kuo, A. J. Piergiovanni, Dahun Kim, Xiyang Luo, Benjamin Caine, Wei Li, Abhijit S. Ogale, Luowei Zhou, Andrew M. Dai, Zhifeng Chen, Claire Cui, Anelia Angelova
MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks. Trans. Mach. Learn. Res. 2023 (2023)
Weicheng Kuo, AJ Piergiovanni, Dahun Kim, Xiyang Luo, Benjamin Caine, Wei Li, Abhijit S. Ogale, Luowei Zhou, Andrew M. Dai, Zhifeng Chen, Claire Cui, Anelia Angelova
MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks. CoRR (2023)
Xiyang Luo, Michael Goebel, Elnaz Barshan, Feng Yang
LECA: A learned approach for efficient cover-agnostic watermarking. Media Watermarking, Security, and Forensics (2023)
Xiyang Luo, Michael Goebel, Elnaz Barshan, Feng Yang
LECA: A Learned Approach for Efficient Cover-agnostic Watermarking. CoRR (2022)
Innfarn Yoo, Huiwen Chang, Xiyang Luo, Ondrej Stava, Ce Liu, Peyman Milanfar, Feng Yang
Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings. CVPR (2022)
Hossein Talebi Esfandarani, Damien Kelly, Xiyang Luo, Ignacio Garcia-Dorado, Feng Yang, Peyman Milanfar, Michael Elad
Better Compression With Deep Pre-Editing. IEEE Trans. Image Process. 30 (2021)
Pascal Tom Getreuer, Peyman Milanfar, Xiyang Luo
Solving Image PDEs with a Shallow Network. CoRR (2021)
Xiyang Luo, Hossein Talebi, Feng Yang, Michael Elad, Peyman Milanfar
The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study. DCC (2021)
Xiyang Luo, Yinxiao Li, Huiwen Chang, Ce Liu, Peyman Milanfar, Feng Yang
DVMark: A Deep Multiscale Framework for Video Watermarking. CoRR (2021)
Innfarn Yoo, Huiwen Chang, Xiyang Luo, Ondrej Stava, Ce Liu, Peyman Milanfar, Feng Yang
Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings. CoRR (2021)
Xiyang Luo, Ruohan Zhan, Huiwen Chang, Feng Yang, Peyman Milanfar
Distortion Agnostic Deep Watermarking. CoRR (2020)
Innfarn Yoo, Xiyang Luo, Yilin Wang, Feng Yang, Peyman Milanfar
GIFnets: Differentiable GIF Encoding Framework. CVPR (2020)
Xiyang Luo, Hossein Talebi, Feng Yang, Michael Elad, Peyman Milanfar
The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study. CoRR (2020)
Hossein Talebi, Damien Kelly, Xiyang Luo, Ignacio Garcia-Dorado, Feng Yang, Peyman Milanfar, Michael Elad
Better Compression with Deep Pre-Editing. CoRR (2020)
Xiyang Luo, Ruohan Zhan, Huiwen Chang, Feng Yang, Peyman Milanfar
Distortion Agnostic Deep Watermarking. CVPR (2020)
Innfarn Yoo, Xiyang Luo, Yilin Wang, Feng Yang, Peyman Milanfar
GIFnets: Differentiable GIF Encoding Framework. CoRR (2020)
Zhijian Li, Xiyang Luo, Bao Wang, Andrea L. Bertozzi, Jack Xin
A Study on Graph-Structured Recurrent Neural Networks and Sparsification with Application to Epidemic Forecasting. WCGO (2019)
Zhijian Li, Xiyang Luo, Bao Wang, Andrea L. Bertozzi, Jack Xin
A Study on Graph-Structured Recurrent Neural Networks and Sparsification with Application to Epidemic Forecasting. CoRR (2019)
Yiling Qiao, Chang Shi, Chenjian Wang, Hao Li, Matt Haberland, Xiyang Luo, Andrew M. Stuart, Andrea L. Bertozzi
Uncertainty quantification for semi-supervised multi-class classification in image processing and ego-motion analysis of body-worn videos. Image Processing: Algorithms and Systems (2019)
Stanley J. Osher, Bao Wang, Penghang Yin, Xiyang Luo, Minh Pham, Alex Tong Lin
Laplacian Smoothing Gradient Descent. CoRR (2018)
Bao Wang, Xiyang Luo, Fangbo Zhang, Baichuan Yuan, Andrea L. Bertozzi, P. Jeffrey Brantingham
Graph-Based Deep Modeling and Real Time Forecasting of Sparse Spatio-Temporal Data. CoRR (2018)
Irwan Bello, Sayali Kulkarni, Sagar Jain, Craig Boutilier, Ed Huai-hsin Chi, Elad Eban, Xiyang Luo, Alan Mackey, Ofer Meshi
Seq2Slate: Re-ranking and Slate Optimization with RNNs. CoRR (2018)
Andrea L. Bertozzi, Xiyang Luo, Andrew M. Stuart, Konstantinos C. Zygalakis
Uncertainty Quantification in Graph-Based Classification of High Dimensional Data. SIAM/ASA J. Uncertain. Quantification 6 (2) (2018)
Alan Mackey, Xiyang Luo, Elad Eban
Constrained Classification and Ranking via Quantiles. CoRR (2018)
Bao Wang, Xiyang Luo, Zhen Li, Wei Zhu, Zuoqiang Shi, Stanley J. Osher
Deep Learning with Data Dependent Implicit Activation Function. CoRR (2018)
Bao Wang, Xiyang Luo, Zhen Li, Wei Zhu, Zuoqiang Shi, Stanley J. Osher
Deep Neural Nets with Interpolating Function as Output Activation. NeurIPS (2018)
Andrea L. Bertozzi, Xiyang Luo, Andrew M. Stuart, Konstantinos C. Zygalakis
Uncertainty Quantification in the Classification of High Dimensional Data. CoRR (2017)
Xiyang Luo, Brendt Wohlberg
Convolutional Laplacian sparse coding. SSIAI (2016)

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Publication Activity (10 Years)

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Xiyang Luo