Ying Liu

26 papers B 1C 8Misc 4Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Blur CLIP Context Model-Based Image Coding for Machines Framework With Down and Up Sample Pairs for Multitasks.
IEEE Access
Zhongpeng Zhang, Ying Liu
2024 J jnl
A Hybrid Transformer-LSTM Model With 3D Separable Convolution for Video Prediction.
IEEE Access
Mareeta Mathai, Ying Liu, Nam Ling
2024 J jnl
CGVC-T: Contextual Generative Video Compression With Transformers.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Pengli Du, Ying Liu, Nam Ling
2023 C conf
An End-to-End Deep Generative Network for Low Bitrate Image Coding.
ISCAS
Yifei Pei, Ying Liu, Nam Ling, Yongxiong Ren, Lingzhi Liu
2023 J jnl
Compressing of Medium- to Low-Rate Transform Residuals With Semi-Extreme Sparse Coding as an Alternate Transform in Video Coding.
IEEE Trans. Consumer Electron.
Michael G. Schimpf, Nam Ling, Ying Liu
2022 C conf
A Lightweight Model with Separable CNN and LSTM for Video Prediction.
ISCAS
Mareeta Mathai, Ying Liu, Nam Ling
2022 C conf
Generative Video Compression with a Transformer-Based Discriminator.
PCS
Pengli Du, Ying Liu, Nam Ling, Yongxiong Ren, Lingzhi Liu
2022 C conf
Side Information Driven Image Coding for Machines.
PCS
Zhongpeng Zhang, Ying Liu
2021 J jnl
A Fast Lightweight 3D Separable Convolutional Neural Network With Multi-Input Multi-Output for Moving Object Detection.
IEEE Access
Bingxin Hou, Ying Liu, Nam Ling, Lingzhi Liu, Yongxiong Ren
2021 C conf
Class-Specific Neural Network for Video Compressed Sensing.
ISCAS
Yifei Pei, Ying Liu, Nam Ling, Lingzhi Liu, Yongxiong Ren
2021 C conf
F3DsCNN: A Fast Two-Branch 3D Separable CNN for Moving Object Detection.
VCIP
Bingxin Hou, Ying Liu, Nam Ling, Lingzhi Liu, Yongxiong Ren, Ming Kai Hsu
2021 C conf
Sparse Coding of Intra Prediction Residuals for Screen Content Coding.
ICCE
Michael G. Schimpf, Nam Ling, Yunhui Shi, Ying Liu
2020 C conf
Deep Learning for Block-Level Compressive Video Sensing.
ISCAS
Yifei Pei, Ying Liu, Nam Ling
2020 J jnl
Variable block-size compressed sensing for depth map coding.
Multim. Tools Appl.
Ying Liu, Joohee Kim
2018 J jnl
Reconstruction of Compressed-Sensed Multiview Video With Disparity- and Motion-Compensated Total Variation Minimization.
IEEE Trans. Circuits Syst. Video Technol.
Ying Liu, Dimitris A. Pados, Joohee Kim, Chen Zhang
2017 Misc conf
Iterative re-weighted L1-norm principal-component analysis.
ACSSC
Ying Liu, Dimitris A. Pados, Stella N. Batalama, Michael J. Medley
2016 — conf
Cloud-assisted individual l1-pca face recognition using wavelet-domain compressed images.
EUVIP
Federica Maritato, Ying Liu, Stefania Colonnese, Dimitris A. Pados
2016 J jnl
Compressed-Sensed-Domain L
IEEE Trans. Multim.
Ying Liu, Dimitris A. Pados
2016 Misc conf
Joint-view Kalman-filter recovery of compressed-sensed multiview videos.
ICASSP
Ying Liu, Shubham Chamadia, Dimitris A. Pados
2016 — conf
Two-Stage Tensor Locality-Preserving Projection Face Recognition.
BigMM
Ying Liu, Dimitris A. Pados, Chia-Hung Yeh
2015 Misc conf
Disparity-compensated total-variation minimization for compressed-sensed multiview image reconstruction.
ICASSP
Ying Liu, Chen Zhang, Joohee Kim
2014 B conf
Adaptive measurement rate allocation for block-based compressed sensing of depth maps.
ICIP
Krishna Rao Vijayanagar, Ying Liu, Joohee Kim
2014 Misc conf
Quad-tree partitioned compressed sensing for depth map coding.
ICASSP
Ying Liu, Krishna Rao Vijayanagar, Joohee Kim
2013 J jnl
Decoding of framewise compressed-sensed video via interframe total variation minimization.
J. Electronic Imaging
Ying Liu, Dimitris A. Pados
2013 J jnl
Motion-Aware Decoding of Compressed-Sensed Video.
IEEE Trans. Circuits Syst. Video Technol.
Ying Liu, Ming Li, Dimitrios A. Pados
2011 — conf
Motion compensation as sparsity-aware decoding in compressive video streaming.
DSP
Ying Liu, Ming Li, Kanke Gao, Dimitris A. Pados