Ying Liu

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 18

Top Topics

Compressed Sensing

Top Venues

IEEE Trans. Circuits Syst. Video Technol.

Publications

Pengli Du, Ying Liu, Nam Ling
CGVC-T: Contextual Generative Video Compression With Transformers. IEEE J. Emerg. Sel. Topics Circuits Syst. 14 (2) (2024)
Mareeta Mathai, Ying Liu, Nam Ling
A Hybrid Transformer-LSTM Model With 3D Separable Convolution for Video Prediction. IEEE Access 12 (2024)
Michael G. Schimpf, Nam Ling, Ying Liu
Compressing of Medium- to Low-Rate Transform Residuals With Semi-Extreme Sparse Coding as an Alternate Transform in Video Coding. IEEE Trans. Consumer Electron. 69 (3) (2023)
Yifei Pei, Ying Liu, Nam Ling, Yongxiong Ren, Lingzhi Liu
An End-to-End Deep Generative Network for Low Bitrate Image Coding. ISCAS (2023)
Mareeta Mathai, Ying Liu, Nam Ling
A Lightweight Model with Separable CNN and LSTM for Video Prediction. ISCAS (2022)
Yifei Pei, Ying Liu, Nam Ling, Lingzhi Liu, Yongxiong Ren
Class-Specific Neural Network for Video Compressed Sensing. ISCAS (2021)
Michael G. Schimpf, Nam Ling, Yunhui Shi, Ying Liu
Sparse Coding of Intra Prediction Residuals for Screen Content Coding. ICCE (2021)
Bingxin Hou, Ying Liu, Nam Ling, Lingzhi Liu, Yongxiong Ren, Ming Kai Hsu
F3DsCNN: A Fast Two-Branch 3D Separable CNN for Moving Object Detection. VCIP (2021)
Bingxin Hou, Ying Liu, Nam Ling, Lingzhi Liu, Yongxiong Ren
A Fast Lightweight 3D Separable Convolutional Neural Network With Multi-Input Multi-Output for Moving Object Detection. IEEE Access 9 (2021)
Ying Liu, Konstantinos Tountas, Dimitris A. Pados, Stella N. Batalama, Michael J. Medley
-Subspace Tracking for Streaming Data. Pattern Recognit. 97 (2020)
Ying Liu, Joohee Kim
Variable block-size compressed sensing for depth map coding. Multim. Tools Appl. 79 (13-14) (2020)
Yifei Pei, Ying Liu, Nam Ling
Deep Learning for Block-Level Compressive Video Sensing. ISCAS (2020)
Ying Liu, Dimitris A. Pados, Joohee Kim, Chen Zhang
Reconstruction of Compressed-Sensed Multiview Video With Disparity- and Motion-Compensated Total Variation Minimization. IEEE Trans. Circuits Syst. Video Technol. 28 (6) (2018)
Ying Liu, Dimitris A. Pados, Stella N. Batalama, Michael J. Medley
Iterative re-weighted L1-norm principal-component analysis. ACSSC (2017)
Ying Liu, Dimitris A. Pados, Chia-Hung Yeh
Two-Stage Tensor Locality-Preserving Projection Face Recognition. BigMM (2016)
Ying Liu, Dimitris A. Pados
-PCA Video Surveillance. IEEE Trans. Multim. 18 (3) (2016)
Federica Maritato, Ying Liu, Stefania Colonnese, Dimitris A. Pados
Cloud-assisted individual l1-pca face recognition using wavelet-domain compressed images. EUVIP (2016)
Ying Liu, Shubham Chamadia, Dimitris A. Pados
Joint-view Kalman-filter recovery of compressed-sensed multiview videos. ICASSP (2016)
Ying Liu, Chen Zhang, Joohee Kim
Disparity-compensated total-variation minimization for compressed-sensed multiview image reconstruction. ICASSP (2015)
Krishna Rao Vijayanagar, Ying Liu, Joohee Kim
Adaptive measurement rate allocation for block-based compressed sensing of depth maps. ICIP (2014)
Ying Liu, Krishna Rao Vijayanagar, Joohee Kim
Quad-tree partitioned compressed sensing for depth map coding. ICASSP (2014)
Ying Liu, Ming Li, Dimitrios A. Pados
Motion-Aware Decoding of Compressed-Sensed Video. IEEE Trans. Circuits Syst. Video Technol. 23 (3) (2013)
Ying Liu, Dimitris A. Pados
Decoding of framewise compressed-sensed video via interframe total variation minimization. J. Electronic Imaging 22 (2) (2013)
Ying Liu, Ming Li, Kanke Gao, Dimitris A. Pados
Motion compensation as sparsity-aware decoding in compressive video streaming. DSP (2011)