Ying Liu

Orcid: 0000-0003-3380-4243

Affiliations:
  • Santa Clara University, USA
  • State University of New York at Buffalo, Department of Electrical Engineering, NY, USA (PhD 2012)


According to our database1, Ying Liu authored at least 26 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
CGVC-T: Contextual Generative Video Compression With Transformers.
IEEE J. Emerg. Sel. Topics Circuits Syst., June, 2024

A Hybrid Transformer-LSTM Model With 3D Separable Convolution for Video Prediction.
IEEE Access, 2024

2023
Compressing of Medium- to Low-Rate Transform Residuals With Semi-Extreme Sparse Coding as an Alternate Transform in Video Coding.
IEEE Trans. Consumer Electron., August, 2023

An End-to-End Deep Generative Network for Low Bitrate Image Coding.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

2022
Side Information Driven Image Coding for Machines.
Proceedings of the Picture Coding Symposium, 2022

Generative Video Compression with a Transformer-Based Discriminator.
Proceedings of the Picture Coding Symposium, 2022

A Lightweight Model with Separable CNN and LSTM for Video Prediction.
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.
IEEE Access, 2021

F3DsCNN: A Fast Two-Branch 3D Separable CNN for Moving Object Detection.
Proceedings of the International Conference on Visual Communications and Image Processing, 2021

Class-Specific Neural Network for Video Compressed Sensing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Sparse Coding of Intra Prediction Residuals for Screen Content Coding.
Proceedings of the IEEE International Conference on Consumer Electronics, 2021

2020
<i>L</i><sub>1</sub>-Subspace Tracking for Streaming Data.
Pattern Recognit., 2020

Variable block-size compressed sensing for depth map coding.
Multim. Tools Appl., 2020

Deep Learning for Block-Level Compressive Video Sensing.
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.
IEEE Trans. Circuits Syst. Video Technol., 2018

2017
Iterative re-weighted L1-norm principal-component analysis.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Compressed-Sensed-Domain L<sub>1</sub>-PCA Video Surveillance.
IEEE Trans. Multim., 2016

Joint-view Kalman-filter recovery of compressed-sensed multiview videos.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Cloud-assisted individual l1-pca face recognition using wavelet-domain compressed images.
Proceedings of the 6th European Workshop on Visual Information Processing, 2016

Two-Stage Tensor Locality-Preserving Projection Face Recognition.
Proceedings of the IEEE Second International Conference on Multimedia Big Data, 2016

2015
Disparity-compensated total-variation minimization for compressed-sensed multiview image reconstruction.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Adaptive measurement rate allocation for block-based compressed sensing of depth maps.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Quad-tree partitioned compressed sensing for depth map coding.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Motion-Aware Decoding of Compressed-Sensed Video.
IEEE Trans. Circuits Syst. Video Technol., 2013

Decoding of framewise compressed-sensed video via interframe total variation minimization.
J. Electronic Imaging, 2013

2011
Motion compensation as sparsity-aware decoding in compressive video streaming.
Proceedings of the 17th International Conference on Digital Signal Processing, 2011


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