Ying Liu

According to our database, Ying Liu authored at least 25 papers between 2011 and 2024.

Collaborative distances:

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

2024

A Hybrid Transformer-LSTM Model With 3D Separable Convolution for Video Prediction.

Mareeta Mathai, Ying Liu, Nam Ling

IEEE Access, 2024

2023

Compressing of Medium- to Low-Rate Transform Residuals With Semi-Extreme Sparse Coding as an Alternate Transform in Video Coding.

Michael G. Schimpf, Nam Ling, Ying Liu

IEEE Trans. Consumer Electron., August, 2023

An End-to-End Deep Generative Network for Low Bitrate Image Coding.

Yifei Pei, Ying Liu, Nam Ling, Yongxiong Ren, Lingzhi Liu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

2022

Side Information Driven Image Coding for Machines.

Zhongpeng Zhang, Ying Liu

Proceedings of the Picture Coding Symposium, 2022

Generative Video Compression with a Transformer-Based Discriminator.

Pengli Du, Ying Liu, Nam Ling, Yongxiong Ren, Lingzhi Liu

Proceedings of the Picture Coding Symposium, 2022

A Lightweight Model with Separable CNN and LSTM for Video Prediction.

Mareeta Mathai, Ying Liu, Nam Ling

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

2021

A Fast Lightweight 3D Separable Convolutional Neural Network With Multi-Input Multi-Output for Moving Object Detection.

Bingxin Hou, Ying Liu, Nam Ling, Lingzhi Liu, Yongxiong Ren

IEEE Access, 2021

F3DsCNN: A Fast Two-Branch 3D Separable CNN for Moving Object Detection.

Bingxin Hou, Ying Liu, Nam Ling, Lingzhi Liu, Yongxiong Ren, Ming Kai Hsu

Proceedings of the International Conference on Visual Communications and Image Processing, 2021

Class-Specific Neural Network for Video Compressed Sensing.

Yifei Pei, Ying Liu, Nam Ling, Lingzhi Liu, Yongxiong Ren

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Sparse Coding of Intra Prediction Residuals for Screen Content Coding.

Michael G. Schimpf, Nam Ling, Yunhui Shi, Ying Liu

Proceedings of the IEEE International Conference on Consumer Electronics, 2021

2020

<i>L</i>₁-Subspace Tracking for Streaming Data.

Ying Liu, Konstantinos Tountas, Dimitris A. Pados, Stella N. Batalama, Michael J. Medley

Pattern Recognit., 2020

Variable block-size compressed sensing for depth map coding.

Ying Liu, Joohee Kim

Multim. Tools Appl., 2020

Deep Learning for Block-Level Compressive Video Sensing.

Yifei Pei, Ying Liu, Nam Ling

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2018

Reconstruction of Compressed-Sensed Multiview Video With Disparity- and Motion-Compensated Total Variation Minimization.

Ying Liu, Dimitris A. Pados, Joohee Kim, Chen Zhang

IEEE Trans. Circuits Syst. Video Technol., 2018

2017

Iterative re-weighted L1-norm principal-component analysis.

Ying Liu, Dimitris A. Pados, Stella N. Batalama, Michael J. Medley

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

Compressed-Sensed-Domain L₁-PCA Video Surveillance.

Ying Liu, Dimitris A. Pados

IEEE Trans. Multim., 2016

Joint-view Kalman-filter recovery of compressed-sensed multiview videos.

Ying Liu, Shubham Chamadia, Dimitris A. Pados

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Cloud-assisted individual l1-pca face recognition using wavelet-domain compressed images.

Federica Maritato, Ying Liu, Stefania Colonnese, Dimitris A. Pados

Proceedings of the 6th European Workshop on Visual Information Processing, 2016

Two-Stage Tensor Locality-Preserving Projection Face Recognition.

Ying Liu, Dimitris A. Pados, Chia-Hung Yeh

Proceedings of the IEEE Second International Conference on Multimedia Big Data, 2016

2015

Disparity-compensated total-variation minimization for compressed-sensed multiview image reconstruction.

Ying Liu, Chen Zhang, Joohee Kim

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Adaptive measurement rate allocation for block-based compressed sensing of depth maps.

Krishna Rao Vijayanagar, Ying Liu, Joohee Kim

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Quad-tree partitioned compressed sensing for depth map coding.

Ying Liu, Krishna Rao Vijayanagar, Joohee Kim

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Motion-Aware Decoding of Compressed-Sensed Video.

Ying Liu, Ming Li, Dimitrios A. Pados

IEEE Trans. Circuits Syst. Video Technol., 2013

Decoding of framewise compressed-sensed video via interframe total variation minimization.

Ying Liu, Dimitris A. Pados

J. Electronic Imaging, 2013

2011

Motion compensation as sparsity-aware decoding in compressive video streaming.

Ying Liu, Ming Li, Kanke Gao, Dimitris A. Pados

Proceedings of the 17th International Conference on Digital Signal Processing, 2011