Xiyang Luo - RankMe

30 papers A* 4B 1Journal 20Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DVMark: A Deep Multiscale Framework for Video Watermarking. IEEE Trans. Image Process. Xiyang Luo, Yinxiao Li, Huiwen Chang, Ce Liu, Peyman Milanfar, Feng Yang
2023	—	`conf`	LECA: A learned approach for efficient cover-agnostic watermarking. Media Watermarking, Security, and Forensics Xiyang Luo, Michael Goebel, Elnaz Barshan, Feng Yang
2023	J	`jnl`	MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks. CoRR 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
2023	J	`jnl`	MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks. Trans. Mach. Learn. Res. 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
2022	A*	`conf`	Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings. CVPR Innfarn Yoo, Huiwen Chang, Xiyang Luo, Ondrej Stava, Ce Liu, Peyman Milanfar, Feng Yang
2022	J	`jnl`	LECA: A Learned Approach for Efficient Cover-agnostic Watermarking. CoRR Xiyang Luo, Michael Goebel, Elnaz Barshan, Feng Yang
2021	J	`jnl`	Better Compression With Deep Pre-Editing. IEEE Trans. Image Process. Hossein Talebi Esfandarani, Damien Kelly, Xiyang Luo, Ignacio Garcia-Dorado, Feng Yang, Peyman Milanfar, Michael Elad
2021	J	`jnl`	DVMark: A Deep Multiscale Framework for Video Watermarking. CoRR Xiyang Luo, Yinxiao Li, Huiwen Chang, Ce Liu, Peyman Milanfar, Feng Yang
2021	J	`jnl`	Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings. CoRR Innfarn Yoo, Huiwen Chang, Xiyang Luo, Ondrej Stava, Ce Liu, Peyman Milanfar, Feng Yang
2021	J	`jnl`	Solving Image PDEs with a Shallow Network. CoRR Pascal Tom Getreuer, Peyman Milanfar, Xiyang Luo
2021	B	`conf`	The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study. DCC Xiyang Luo, Hossein Talebi, Feng Yang, Michael Elad, Peyman Milanfar
2020	J	`jnl`	Better Compression with Deep Pre-Editing. CoRR Hossein Talebi, Damien Kelly, Xiyang Luo, Ignacio Garcia-Dorado, Feng Yang, Peyman Milanfar, Michael Elad
2020	A*	`conf`	Distortion Agnostic Deep Watermarking. CVPR Xiyang Luo, Ruohan Zhan, Huiwen Chang, Feng Yang, Peyman Milanfar
2020	J	`jnl`	Distortion Agnostic Deep Watermarking. CoRR Xiyang Luo, Ruohan Zhan, Huiwen Chang, Feng Yang, Peyman Milanfar
2020	A*	`conf`	GIFnets: Differentiable GIF Encoding Framework. CVPR Innfarn Yoo, Xiyang Luo, Yilin Wang, Feng Yang, Peyman Milanfar
2020	J	`jnl`	GIFnets: Differentiable GIF Encoding Framework. CoRR Innfarn Yoo, Xiyang Luo, Yilin Wang, Feng Yang, Peyman Milanfar
2020	J	`jnl`	The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study. CoRR Xiyang Luo, Hossein Talebi, Feng Yang, Michael Elad, Peyman Milanfar
2019	—	`conf`	A Study on Graph-Structured Recurrent Neural Networks and Sparsification with Application to Epidemic Forecasting. WCGO Zhijian Li, Xiyang Luo, Bao Wang, Andrea L. Bertozzi, Jack Xin
2019	J	`jnl`	A Study on Graph-Structured Recurrent Neural Networks and Sparsification with Application to Epidemic Forecasting. CoRR Zhijian Li, Xiyang Luo, Bao Wang, Andrea L. Bertozzi, Jack Xin
2019	—	`conf`	Uncertainty quantification for semi-supervised multi-class classification in image processing and ego-motion analysis of body-worn videos. Image Processing: Algorithms and Systems Yiling Qiao, Chang Shi, Chenjian Wang, Hao Li, Matt Haberland, Xiyang Luo, Andrew M. Stuart, Andrea L. Bertozzi
2018	—	`—`	Analysis and Application of Graph-Based Semi-Supervised Learning Methods. Xiyang Luo
2018	J	`jnl`	Constrained Classification and Ranking via Quantiles. CoRR Alan Mackey, Xiyang Luo, Elad Eban
2018	J	`jnl`	Deep Learning with Data Dependent Implicit Activation Function. CoRR Bao Wang, Xiyang Luo, Zhen Li, Wei Zhu, Zuoqiang Shi, Stanley J. Osher
2018	A*	`conf`	Deep Neural Nets with Interpolating Function as Output Activation. NeurIPS Bao Wang, Xiyang Luo, Zhen Li, Wei Zhu, Zuoqiang Shi, Stanley J. Osher
2018	J	`jnl`	Graph-Based Deep Modeling and Real Time Forecasting of Sparse Spatio-Temporal Data. CoRR Bao Wang, Xiyang Luo, Fangbo Zhang, Baichuan Yuan, Andrea L. Bertozzi, P. Jeffrey Brantingham
2018	J	`jnl`	Laplacian Smoothing Gradient Descent. CoRR Stanley J. Osher, Bao Wang, Penghang Yin, Xiyang Luo, Minh Pham, Alex Tong Lin
2018	J	`jnl`	Seq2Slate: Re-ranking and Slate Optimization with RNNs. CoRR Irwan Bello, Sayali Kulkarni, Sagar Jain, Craig Boutilier, Ed Huai-hsin Chi, Elad Eban, Xiyang Luo, Alan Mackey, Ofer Meshi
2018	J	`jnl`	Uncertainty Quantification in Graph-Based Classification of High Dimensional Data. SIAM/ASA J. Uncertain. Quantification Andrea L. Bertozzi, Xiyang Luo, Andrew M. Stuart, Konstantinos C. Zygalakis
2017	J	`jnl`	Uncertainty Quantification in the Classification of High Dimensional Data. CoRR Andrea L. Bertozzi, Xiyang Luo, Andrew M. Stuart, Konstantinos C. Zygalakis
2016	—	`conf`	Convolutional Laplacian sparse coding. SSIAI Xiyang Luo, Brendt Wohlberg