Xiyang Luo

According to our database, Xiyang Luo authored at least 22 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks.

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

Trans. Mach. Learn. Res., 2023

LECA: A learned approach for efficient cover-agnostic watermarking.

Xiyang Luo, Michael Goebel, Elnaz Barshan, Feng Yang

Proceedings of the Media Watermarking, 2023

2022

Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings.

Innfarn Yoo, Huiwen Chang, Xiyang Luo, Ondrej Stava, Ce Liu, Peyman Milanfar, Feng Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Better Compression With Deep Pre-Editing.

Hossein Talebi Esfandarani, Damien Kelly, Xiyang Luo, Ignacio Garcia-Dorado, Feng Yang, Peyman Milanfar, Michael Elad

IEEE Trans. Image Process., 2021

Solving Image PDEs with a Shallow Network.

Pascal Tom Getreuer, Peyman Milanfar, Xiyang Luo

CoRR, 2021

DVMark: A Deep Multiscale Framework for Video Watermarking.

Xiyang Luo, Yinxiao Li, Huiwen Chang, Ce Liu, Peyman Milanfar, Feng Yang

CoRR, 2021

The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study.

Xiyang Luo, Hossein Talebi, Feng Yang, Michael Elad, Peyman Milanfar

Proceedings of the 31st Data Compression Conference, 2021

2020

Better Compression with Deep Pre-Editing.

Hossein Talebi, Damien Kelly, Xiyang Luo, Ignacio Garcia-Dorado, Feng Yang, Peyman Milanfar, Michael Elad

CoRR, 2020

GIFnets: Differentiable GIF Encoding Framework.

Innfarn Yoo, Xiyang Luo, Yilin Wang, Feng Yang, Peyman Milanfar

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Distortion Agnostic Deep Watermarking.

Xiyang Luo, Ruohan Zhan, Huiwen Chang, Feng Yang, Peyman Milanfar

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

A Study on Graph-Structured Recurrent Neural Networks and Sparsification with Application to Epidemic Forecasting.

Zhijian Li, Xiyang Luo, Bao Wang, Andrea L. Bertozzi, Jack Xin

Proceedings of the Optimization of Complex Systems: Theory, 2019

Uncertainty quantification for semi-supervised multi-class classification in image processing and ego-motion analysis of body-worn videos.

Yiling Qiao, Chang Shi, Chenjian Wang, Hao Li, Matt Haberland, Xiyang Luo, Andrew M. Stuart, Andrea L. Bertozzi

Proceedings of the Image Processing: Algorithms and Systems XVII, 2019

2018

Analysis and Application of Graph-Based Semi-Supervised Learning Methods.

Xiyang Luo

PhD thesis, 2018

Uncertainty Quantification in Graph-Based Classification of High Dimensional Data.

Andrea L. Bertozzi, Xiyang Luo, Andrew M. Stuart, Konstantinos C. Zygalakis

SIAM/ASA J. Uncertain. Quantification, 2018

Seq2Slate: Re-ranking and Slate Optimization with RNNs.

Irwan Bello, Sayali Kulkarni, Sagar Jain, Craig Boutilier, Ed Huai-hsin Chi, Elad Eban, Xiyang Luo, Alan Mackey, Ofer Meshi

CoRR, 2018

Laplacian Smoothing Gradient Descent.

Stanley J. Osher, Bao Wang, Penghang Yin, Xiyang Luo, Minh Pham, Alex Tong Lin

CoRR, 2018

Graph-Based Deep Modeling and Real Time Forecasting of Sparse Spatio-Temporal Data.

Bao Wang, Xiyang Luo, Fangbo Zhang, Baichuan Yuan, Andrea L. Bertozzi, P. Jeffrey Brantingham

CoRR, 2018

Constrained Classification and Ranking via Quantiles.

Alan Mackey, Xiyang Luo, Elad Eban

CoRR, 2018

Deep Learning with Data Dependent Implicit Activation Function.

Bao Wang, Xiyang Luo, Zhen Li, Wei Zhu, Zuoqiang Shi, Stanley J. Osher

CoRR, 2018

Deep Neural Nets with Interpolating Function as Output Activation.

Bao Wang, Xiyang Luo, Zhen Li, Wei Zhu, Zuoqiang Shi, Stanley J. Osher

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Uncertainty Quantification in the Classification of High Dimensional Data.

Andrea L. Bertozzi, Xiyang Luo, Andrew M. Stuart, Konstantinos C. Zygalakis

CoRR, 2017

2016

Convolutional Laplacian sparse coding.

Xiyang Luo, Brendt Wohlberg

Proceedings of the 2016 IEEE Southwest Symposium on Image Analysis and Interpretation, 2016