引用次数
引用: 533
H-指数: 12
I10-指数 : 15
出版物: 44
Hierarchical motion-compensated deep network for video compression
Yuzhu Li , Pengli Du , Ying Liu
Big Data III: Learning, Analytics, and Applications 11730
2021
Class-Specific Neural Network for Video Compressed Sensing
Lingzhi Liu , Nam Ling , Ying Liu , Yifei Pei
international symposium on circuits and systems
2021
Sparse Coding of Intra Prediction Residuals for Screen Content Coding
Yunhui Shi , Nam Ling , Ying Liu , Michael G. Schimpf
international conference on consumer electronics 1 -6
2021
Adaptive measurement rate allocation for block-based compressed sensing of depth maps
Krishna Rao Vijayanagar , Ying Liu , Joohee Kim
2014 IEEE International Conference on Image Processing (ICIP) 1307 -1311
3
2014
Disparity-compensated total-variation minimization for compressed-sensed multiview image reconstruction
Ying Liu , Chen Zhang , Joohee Kim
international conference on acoustics, speech, and signal processing 1458 -1462
5
2015
Quad-tree partitioned compressed sensing for depth map coding
Ying Liu , Krishna Rao Vijayanagar , Joohee Kim
international conference on acoustics, speech, and signal processing 870 -874
6
2014
Two-Stage Tensor Locality-Preserving Projection Face Recognition
Ying Liu , Dimitris A. Pados , Chia-Hung Yeh
ieee international conference on multimedia big data 214 -218
2
2016
Motion-aware deep video coding network
Rida Khan , Ying Liu
Big Data II: Learning, Analytics, and Applications 11395
2020
Joint-view Kalman-filter recovery of compressed-sensed multiview videos
Ying Liu , Shubham Chamadia , Dimitris A. Pados
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 1721 -1725
2016
Cloud-assisted individual l1-pca face recognition using wavelet-domain compressed images
Federica Maritato , Ying Liu , Stefania Colonnese , Dimitris A. Pados
european workshop on visual information processing 1 -6
6
2016
Conformity evaluation of data samples by L1-norm principal-component analysis
Ying Liu , Dimitris A. Pados
Compressive Sensing VII: From Diverse Modalities to Big Data Analytics 10658 1065809
3
2018
Edge-to-fog computing for color-assisted moving object detection
Ying Liu , Zach Bellay , Payton Bradsky , Glen Chandler
Big Data: Learning, Analytics, and Applications 10989 1098903
1
2019
Iterative re-weighted L 1 -norm principal-component analysis
Ying Liu , Dimitris A. Pados , Stella N. Batalama , Michael J. Medley
asilomar conference on signals, systems and computers
2017
A generative adversarial network for video compression
Pengli Du , Ying Liu , Nam Ling , Lingzhi Liu
Smpte Journal 12097 129 -136
1
2022
A Survey of Efficient Deep Learning Models for Moving Object Segmentation
Bingxin Hou , Ying Liu , Nam Ling , Yongxiong Ren
APSIPA Transactions on Signal and Information Processing 12 ( 1)
2023
FDD: A deep learning–based steel defect detectors
Fityanul Akhyar , Ying Liu , Chao-Yung Hsu , Timothy K Shih
The International Journal of Advanced Manufacturing Technology 126 ( 3) 1093 -1107
17
2023
Motion-aware decoding of compressed-sensed video
Ying Liu , Ming Li , Dimitris A Pados
IEEE Transactions on circuits and systems for video technology 23 ( 3) 438 -444
79
2012
Decoding of purely compressed-sensed video
Ying Liu , Ming Li , Dimitris A Pados
Compressive Sensing 8365 133 -141
2
2012
Reconstruction of compressed-sensed multiview video with disparity-and motion-compensated total variation minimization
Ying Liu , Dimitris A Pados , Joohee Kim , Chen Zhang
IEEE Transactions on Circuits and Systems for Video Technology 28 ( 6) 1288 -1302
9
2017
Rate-adaptive compressive video acquisition with sliding-window total-variation-minimization reconstruction
Ying Liu , Dimitris A Pados
Compressive Sensing II 8717 9 -21
7
2013