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Ying Liu 0022
Person information
- affiliation: Santa Clara University, USA
- affiliation (PhD 2012): State University of New York at Buffalo, Department of Electrical Engineering, NY, USA
Other persons with the same name
- Ying Liu — disambiguation page
- Ying Liu 0001 — Pennsylvania State University, University Park, PA, USA
- Ying Liu 0002 — University of Aberdeen, Scotland, UK
- Ying Liu 0003 — Heriot-Watt University, School of Engineering & Physical Sciences, Edinburgh, UK (and 1 more)
- Ying Liu 0004 — Cardiff University, Institute of Mechanical and Manufacturing Engineering, UK (and 2 more)
- Ying Liu 0005 — Chinese Academy of Sciences, State Key Laboratory of Resources and Environmental Information System, Beijing, China
- Ying Liu 0006 — KAIST, Daejeon, South Korea
- Ying Liu 0007 — St. John's University, College of Professional Studies, New York City, NY, USA (and 3 more)
- Ying Liu 0008 — Royal Institute of Technology, Stockholm, Sweden
- Ying Liu 0009 — MIT, Stochastic Systems Group, Cambridge. MA, USA
- Ying Liu 0010 — University of Waterloo, Ontario, Canada
- Ying Liu 0011 — University of Maryland, College Park, MD, USA
- Ying Liu 0012 — Wireless Information Network Laboratory, Rutgers University, North Brunswick, NJ, USA
- Ying Liu 0013 — University of Electronic Science and Technology of China, National Key Laboratory of Science and Technology on Communications, Chengdu, China
- Ying Liu 0014 — Technische Universität Darmstadt, Communication Systems Group, Germany
- Ying Liu 0015 — Dalian University of Technology, School of Control Science and Engineering, China
- Ying Liu 0016 — Hebei University, College of Mathematics and Information Science, Baoding, China
- Ying Liu 0017 — Michigan State University, Department of Electrical and Computer Engineering, East Lansing, MI, USA
- Ying Liu 0018 — Beijing Jiaotong University, School of Electronic and Information Engineering, China
- Ying Liu 0019 — Beijing University of Posts and Telecommunications, National Engineering Laboratory for Mobile Network Security, China
- Ying Liu 0020 — Zhejiang University, College of Information Science and Electronic Engineering, Hangzhou, China (and 1 more)
- Ying Liu 0021 — Peking University, Institute of Big Data Technologies, School of Electronic and Computer Engineering, Shenzhen, China
- Ying Liu 0023 — Beijing Jiaotong University, School of Electronics and Information Engineering, China (and 1 more)
- Ying Liu 0024 — Tsinghua University, Institute for Network Sciences and Cyberspace / TNList, Beijing, China (and 1 more)
- Ying Liu 0025 — Tianjin University of Science and Technology, College of Computer Sciences and Information Engineering, China (and 1 more)
- Ying Liu 0026 — Key Laboratory of Electronic Information Application Technology for Scene Investigation, Ministry of Public Security, Xi'an, China (and 3 more)
- Ying Liu 0027 — Hunan University, College of Computer Science and Electronic Engineering, Changsha, China
- Ying Liu 0028 — University of Glasgow, School of Engineeringy, UK (and 1 more)
- Ying Liu 0029 — Beihang University, School of Automation Science and Electrical Engineering, China
- Ying Liu 0030 — Xidian University, Science and Technology on Antenna and Microwave Laboratory, Xi'an, China
- Ying Liu 0031 — Northeastern University, School of Management, Shenyang, China
- Ying Liu 0032 — Northeastern University, Software College, Shenyang, China
- Ying Liu 0033 — Sun Yat-sen University, School of Software Engineering, Guangzhou, China (and 1 more)
- Ying Liu 0034 — Xidian University, School of Physics and Optoelectronic Engineering, Xi'an, China
- Ying Liu 0035 — Jilin University of Finance and Economics, School of Management Science and Information Engineering, Changchun, China
- Ying Liu 0036 — Nanjing Forestry University, College of Mechanical and Electronic Engineering, Nanjing, China
- Ying Liu 0037 — China University of Mining and Technology, Engineering Research Center of Ministry of Education for Mine Ecological Restoration, Xuzhou, China
- Ying Liu 0038 — Central South University, Business School, Changsha, China
- Ying Liu 0039 — University of Chinese Academy of Sciences, School of Computer and Control Engineering, Beijing, China (and 1 more)
- Ying Liu 0040 — Southwest Petroleum University, School of Computer Science, Chengdu, China (and 1 more)
- Ying Liu 0041 — Nokia Research Center, Beijing, China
- Ying Liu 0042 — University of Minnesota, Minnesota Supercomputing Institute, Minneapolis, MN, USA (and 1 more)
- Ying Liu 0043 — Indiana University Bloomington, Department of Computer Science, Bloomington, IN, USA
- Ying Liu 0044 — University of New South Wales, Graduate School of Biomedical Engineering, Sydney, Australia
- Ying Liu 0045 (aka: Alice Y. Liu) — IBM China Research Lab, Beijing, China
- Ying Liu 0046 — Savannah State College, Department of Mathematics and Computer Science, Savannah, GA, USA
- Ying Liu 0047 — Chongqing University, School of Microelectronics and Communication Engineering, Chongqing, China
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2020 – today
- 2024
- [j10]Mareeta Mathai, Ying Liu, Nam Ling:
A Hybrid Transformer-LSTM Model With 3D Separable Convolution for Video Prediction. IEEE Access 12: 39589-39602 (2024) - [j9]Pengli Du, Ying Liu, Nam Ling:
CGVC-T: Contextual Generative Video Compression With Transformers. IEEE J. Emerg. Sel. Topics Circuits Syst. 14(2): 209-223 (2024) - 2023
- [j8]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): 271-286 (2023) - [c16]Yifei Pei, Ying Liu, Nam Ling, Yongxiong Ren, Lingzhi Liu:
An End-to-End Deep Generative Network for Low Bitrate Image Coding. ISCAS 2023: 1-5 - 2022
- [c15]Mareeta Mathai, Ying Liu, Nam Ling:
A Lightweight Model with Separable CNN and LSTM for Video Prediction. ISCAS 2022: 516-520 - [c14]Zhongpeng Zhang, Ying Liu:
Side Information Driven Image Coding for Machines. PCS 2022: 193-197 - [c13]Pengli Du, Ying Liu, Nam Ling, Yongxiong Ren, Lingzhi Liu:
Generative Video Compression with a Transformer-Based Discriminator. PCS 2022: 349-353 - 2021
- [j7]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: 148433-148448 (2021) - [c12]Michael G. Schimpf, Nam Ling, Yunhui Shi, Ying Liu:
Sparse Coding of Intra Prediction Residuals for Screen Content Coding. ICCE 2021: 1-6 - [c11]Yifei Pei, Ying Liu, Nam Ling, Lingzhi Liu, Yongxiong Ren:
Class-Specific Neural Network for Video Compressed Sensing. ISCAS 2021: 1-5 - [c10]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: 1-5 - 2020
- [j6]Ying Liu, Joohee Kim:
Variable block-size compressed sensing for depth map coding. Multim. Tools Appl. 79(13-14): 8825-8839 (2020) - [j5]Ying Liu, Konstantinos Tountas, Dimitris A. Pados, Stella N. Batalama, Michael J. Medley:
L1-Subspace Tracking for Streaming Data. Pattern Recognit. 97 (2020) - [c9]Yifei Pei, Ying Liu, Nam Ling:
Deep Learning for Block-Level Compressive Video Sensing. ISCAS 2020: 1-5
2010 – 2019
- 2018
- [j4]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): 1288-1302 (2018) - 2017
- [c8]Ying Liu, Dimitris A. Pados, Stella N. Batalama, Michael J. Medley:
Iterative re-weighted L1-norm principal-component analysis. ACSSC 2017: 425-429 - 2016
- [j3]Ying Liu, Dimitris A. Pados:
Compressed-Sensed-Domain L1-PCA Video Surveillance. IEEE Trans. Multim. 18(3): 351-363 (2016) - [c7]Ying Liu, Dimitris A. Pados, Chia-Hung Yeh:
Two-Stage Tensor Locality-Preserving Projection Face Recognition. BigMM 2016: 214-218 - [c6]Federica Maritato, Ying Liu, Stefania Colonnese, Dimitris A. Pados:
Cloud-assisted individual l1-pca face recognition using wavelet-domain compressed images. EUVIP 2016: 1-6 - [c5]Ying Liu, Shubham Chamadia, Dimitris A. Pados:
Joint-view Kalman-filter recovery of compressed-sensed multiview videos. ICASSP 2016: 1721-1725 - 2015
- [c4]Ying Liu, Chen Zhang, Joohee Kim:
Disparity-compensated total-variation minimization for compressed-sensed multiview image reconstruction. ICASSP 2015: 1458-1462 - 2014
- [c3]Ying Liu, Krishna Rao Vijayanagar, Joohee Kim:
Quad-tree partitioned compressed sensing for depth map coding. ICASSP 2014: 870-874 - [c2]Krishna Rao Vijayanagar, Ying Liu, Joohee Kim:
Adaptive measurement rate allocation for block-based compressed sensing of depth maps. ICIP 2014: 1307-1311 - 2013
- [j2]Ying Liu, Dimitris A. Pados:
Decoding of framewise compressed-sensed video via interframe total variation minimization. J. Electronic Imaging 22(2): 021012 (2013) - [j1]Ying Liu, Ming Li, Dimitrios A. Pados:
Motion-Aware Decoding of Compressed-Sensed Video. IEEE Trans. Circuits Syst. Video Technol. 23(3): 438-444 (2013) - 2011
- [c1]Ying Liu, Ming Li, Kanke Gao, Dimitris A. Pados:
Motion compensation as sparsity-aware decoding in compressive video streaming. DSP 2011: 1-5
Coauthor Index
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last updated on 2024-11-15 19:29 CET by the dblp team
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