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ORCIDJing Liu 0002
Person information
- affiliation: Tianjin University, School of Electrical and Information Engineering, China
- affiliation (PhD 2017): Shanghai Jiao Tong University, Institute of Image Communication and Network Engineering, China
Other persons with the same name
- Jing Liu — disambiguation page
- Jing Liu 0001
![[0000-0003-0903-9131]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-0903-9131")
— Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China - Jing Liu 0003 — Inner Mongolia University, College of Computer Science, Hohhot, China (and 1 more)
- Jing Liu 0004 — Chinese Academy of Sciences, Institute of Computing Technology, Key Laboratory of Mobile Computing and Pervasive Device, Beijing, China
- Jing Liu 0005 — Tianjin University, School of Precision Instruments and Opto-Electronics Engineering, China (and 1 more)
- Jing Liu 0006 — Xidian University, Key Laboratory of Intelligent Perception and Image Understanding, Xi'an, China (and 3 more)
- Jing Liu 0007 — Xi'an University of Technology, Faculty of Computer Science and Engineering, China
- Jing Liu 0008 — TU Dortmund University, Robotics Research Institute, Germany
- Jing Liu 0009 — University of California, San Diego, Department of Electrical and Computer Engineering, CA, USA
- Jing Liu 0010 — Nankai University, Nankai-Baidu Joint Laboratory, College of IT, Tianjin, China
- Jing Liu 0011 — Xi'an JiaoTong University, School of Electronics and Information Engineering, China (and 1 more)
- Jing Liu 0012 — East China Normal University, Shanghai Key Laboratory of Trustworthy Computing, China
- Jing Liu 0013 — Peking University, School of Software and Microelectronics / School of Electronics Engineering and Computer Science, Beijing, China
- Jing Liu 0014 — Tsinghua University, School of Medicine, Department of Biomedical Engineering, Beijing, China
- Jing Liu 0015 — Beijing University of Posts and Telecommunications, School of Information and Communications Engineering, China
- Jing Liu 0016 — Chinese University of Hong Kong, Future Network of Intelligence Institute, Shenzhen, China (and 1 more)
- Jing Liu 0017 — Donghua University, School of Information Science and Technology, Shanghai, China
- Jing Liu 0018 — Xi'an University of Posts and Telecommunications, School of Electronic Engineering, Xi'an, China (and 1 more)
- Jing Liu 0019 — Lehigh University, Department of Electrical and Computer Engineering, Bethlehem, PA, USA
- Jing Liu 0020 — Chinese University of Hong Kong, Department of Electronic Engineering, Hong Kong
- Jing Liu 0021 — University of Twente, Faculty of Geo-Information Science and Earth Observation, Enschede, Netherlands (and 1 more)
- Jing Liu 0022 — Baidu Inc., Beijing, China (and 2 more)
- Jing Liu 0023 — Shanghai Jiao Tong University, Department of Electronic Engineering, Shanghai, China (and 1 more)
- Jing Liu 0024 — George Mason University, Fairfax, VA, USA (and 1 more)
- Jing Liu 0025 — Southern Yangtze University, School of Information Technology, Wuxi, China
- Jing Liu 0026 — McMaster University, Department of Electrical and Computer Engineering, Hamilton, Canada (and 1 more)
- Jing Liu 0027 — University of Alabama, Department of Computer Science, Tuscaloosa, AL, USA
- Jing Liu 0028 — Beijing University of Technology, College of Computer Science, China
- Jing Liu 0029 — University of New South Wales, School of Engineering and Information Technology, Canberra, Australia (and 1 more)
- Jing Liu 0030 — Capital Normal University, Department of Educational Technology, Beijing, China
- Jing Liu 0031 — East China Normal University, Multimedia and Computer Vision Lab, Shanghai, China
- Jing Liu 0032 — Wuhan University of Science and Technology, College of Computer Science and Technology, Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, China (and 1 more)
- Jing Liu 0033 — Wuhan University, School of Computer / State Key Laboratory of Software Engineering, China
- Jing Liu 0034 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
- Jing Liu 0035 — Chinese Academy of Sciences, Institute of Microelectronics, Laboratory of Microelectronics Devices and Integrated Technology, Beijing, China
- Jing Liu 0036 — Zhengzhou Information Science and Technology Institute, China
- Jing Liu 0037 — University of Copenhagen, Department of Food Science, Denmark
- Jing Liu 0038 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
- Jing Liu 0039 — Beijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning / IDG/McGovern Institute of Brain Research / Center for Collaboration and Innovation in Brain and Learning Sciences, China
- Jing Liu 0040 — Jilin University, MoE Key Laboratory of Bionic Engineering, Changchun, China
- Jing Liu 0041 — Hainan University, School of Information and Communication Engineering / State Key Laboratory of Marine Resource Utilization in the South China Sea, Haikou, China (and 1 more)
- Jing Liu 0042 — Tianjin University, School of Precision Instruments and Opto-Electronic Engineering, China
- Jing Liu 0043 — Shandong University of Science and Technology, College of Computer Science and Engineering, Qingdao, China
- Jing Liu 0044 — Zhejiang University School of Medicine, Second Affiliated Hospital, Hangzhou, China
- Jing Liu 0045 — Soochow University, School of Electronic and Information Engineering, Suzhou, China
- Jing Liu 0046 — Northwestern Polytechnical University, School of Marine Science and Technology, Xi'an, China (and 1 more)
- Jing Liu 0047 — Beijing University of Technology, Beijing Laboratory of Smart Environmental Protection / Beijing Key Laboratory of Computational Intelligence and Intelligent System / Beijing Artificial Intelligence Institute, China
- Jing Liu 0048 — Monash University Clayton Campus, Faculty of Information Technology, VIC, Australia (and 1 more)
- Jing Liu-Zeng (aka: Jing Liu 0049) — Tianjin University, Institute of Surface-Earth System Science, School of Earth System Science, China (and 1 more)
- Jing Liu 0050 — Fudan University, Academy for Engineering and Technology, Shanghai, China
- Jing Liu 0051 — Xi'an University of Technology, Department of Electronic Engineering, China
- Jing Liu 0052 — Uppsala University, Sweden
- Jing Liu 0053 — University of California, Santa Cruz, USA
- Jing Liu 0054 — Chinese Academy of Sciences, Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Institute of Automation, Beijing, China
Other persons with a similar name
- Liu Jing
- Jing-Quan Liu (aka: Jingquan Liu) — disambiguation page
- Jing-Sin Liu
- Jing-Wei Liu
- Jing-Yao Liu
- Jingyang Liu (aka: Jing-Yang Liu) — disambiguation page
- Weijing Liu (aka: Wei-Jing Liu)
- Wenjing Liu (aka: Wen-Jing Liu) — disambiguation page
- Xiao-Jing Liu
- Yijing Liu 0001 (aka: Yi-Jing Liu 0001) — University of Electronic Science and Technology of China, UESTC, Yangtze Delta Region Institute, National Key Laboratory of Science and Technology on Communications, Chengdu, China
- show all similar names
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2020 – today
- 2024
[j58]Weikang Wang, Yuting Su, Jing Liu, Peiguang Jing:
Adaptive proposal network based on generative adversarial learning for weakly supervised temporal sentence grounding. Pattern Recognit. Lett. 179: 9-16 (2024)- [j57]Yuting Su, Weikang Wang, Jing Liu, Peiguang Jing:
Collaborative spatial-temporal video salient object detection with cross attention transformer. Signal Process. 224: 109612 (2024) - [j56]Jing Liu, Han Wang, Chao Ma, Yuting Su, Xiaokang Yang:
SiamDMU: Siamese Dual Mask Update Network for Visual Object Tracking. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1656-1669 (2024) - [j55]Weizhi Nie, Xin Wen, Jing Liu, Jiawei Chen, Jiancan Wu, Guoqing Jin, Jing Lu, An-An Liu:
Knowledge-Enhanced Causal Reinforcement Learning Model for Interactive Recommendation. IEEE Trans. Multim. 26: 1129-1142 (2024) - [j54]An-An Liu, Chenxi Huang, Ning Xu, Hongshuo Tian, Jing Liu, Yongdong Zhang:
Counterfactual Visual Dialog: Robust Commonsense Knowledge Learning From Unbiased Training. IEEE Trans. Multim. 26: 1639-1651 (2024) - [j53]Jing Liu, Zhiwei Fan, Ziwen Yang, Yuting Su, Xiaokang Yang:
Multi-Stage Spatio-Temporal Fusion Network for Fast and Accurate Video Bit-Depth Enhancement. IEEE Trans. Multim. 26: 2444-2455 (2024) - [j52]Xin Wen, Weizhi Nie, Jing Liu, Yuting Su, Yongdong Zhang, An-An Liu:
CDCM: ChatGPT-Aided Diversity-Aware Causal Model for Interactive Recommendation. IEEE Trans. Multim. 26: 6488-6500 (2024) - [j51]Jing Liu, Lele Sun, Weizhi Nie, Yuting Su, Yongdong Zhang, Anan Liu:
Inter- and Intra-Domain Potential User Preferences for Cross-Domain Recommendation. IEEE Trans. Multim. 26: 8014-8025 (2024) - [j50]Zicheng Zhang, Wei Sun, Yingjie Zhou, Jun Jia, Zhichao Zhang, Jing Liu, Xiongkuo Min, Guangtao Zhai:
Subjective and Objective Quality Assessment for in-the-Wild Computer Graphics Images. ACM Trans. Multim. Comput. Commun. Appl. 20(4): 96:1-96:22 (2024) - [j49]Jing Liu, Litao Shang, Yuting Su, Weizhi Nie, Xin Wen, Anan Liu:
Privacy-preserving Multi-source Cross-domain Recommendation Based on Knowledge Graph. ACM Trans. Multim. Comput. Commun. Appl. 20(5): 148:1-148:18 (2024) - [c25]Jing Liu, Lele Sun, Weizhi Nie, Peiguang Jing, Yuting Su:
Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation. AAAI 2024: 8769-8777 - 2023
- [j48]Peiguang Jing, Zijian Huang, Jing Liu, Yating Wang, Jiexiao Yu:
Edge-aware object pixel-level representation tracking. J. Vis. Commun. Image Represent. 90: 103735 (2023) - [j47]Minjie Ren, Xiangdong Huang, Wenhui Li, Jing Liu:
Multi-loop graph convolutional network for multimodal conversational emotion recognition. J. Vis. Commun. Image Represent. 94: 103846 (2023) - [j46]An-An Liu, Xiaowen Wang, Ning Xu, Jing Liu, Yuting Su, Quan Zhang, Shenyuan Zhang, Yejun Tang, Junbo Guo, Guoqing Jin, Xuanya Li:
SMPC: boosting social media popularity prediction with caption. Multim. Syst. 29(2): 577-586 (2023) - [j45]Bowen Xin, Ning Xu, Yingchen Zhai, Tingting Zhang, Zimu Lu, Jing Liu, Weizhi Nie, Xuanya Li, An-An Liu:
A comprehensive survey on deep-learning-based visual captioning. Multim. Syst. 29(6): 3781-3804 (2023) - [j44]Jing Liu, Jiaxiang Wang, Zhiwei Fan, Min Yuan, Weikang Wang, Jiexiao Yu:
Group attention retention network for co-salient object detection. Mach. Vis. Appl. 34(6): 107 (2023) - [j43]Han Wang, Jing Liu, Yuting Su, Xiaokang Yang:
Trajectory Guided Robust Visual Object Tracking With Selective Remedy. IEEE Trans. Circuits Syst. Video Technol. 33(7): 3425-3440 (2023) - [j42]Xin Wen, Weizhi Nie, Jing Liu, Yuting Su:
MRFT: Multiscale Recurrent Fusion Transformer Based Prior Knowledge for Bit-Depth Enhancement. IEEE Trans. Circuits Syst. Video Technol. 33(10): 5562-5575 (2023) - [j41]Minjie Ren, Xiangdong Huang, Jing Liu, Ming Liu, Xuanya Li, An-An Liu:
MALN: Multimodal Adversarial Learning Network for Conversational Emotion Recognition. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6965-6980 (2023) - [j40]Yuting Su, Weikang Wang, Jing Liu, Shuang Ma, Xiaokang Yang:
Sequence as a Whole: A Unified Framework for Video Action Localization With Long-Range Text Query. IEEE Trans. Image Process. 32: 1403-1418 (2023) - [c24]Jiarui Wang, Huiyu Duan, Jing Liu, Shi Chen, Xiongkuo Min, Guangtao Zhai:
AIGCIQA2023: A Large-Scale Image Quality Assessment Database for AI Generated Images: From the Perspectives of Quality, Authenticity and Correspondence. CICAI (2) 2023: 46-57 - [c23]Xilei Zhu, Huiyu Duan, Yuqin Cao, Yuxin Zhu, Yucheng Zhu, Jing Liu, Li Chen, Xiongkuo Min, Guangtao Zhai:
Perceptual Quality Assessment of Omnidirectional Audio-Visual Signals. CICAI (2) 2023: 512-525 - [c22]Xiaopeng Gu, Peili Xi, Lei Yan, Xiaocheng Hu, Bing Yang, Lele Sun, Litao Shang, Jing Liu:
Bridging Recommendations Across Domains: An Overview of Cross-Domain Recommendation. IFTC (1) 2023: 168-179 - [c21]Weikang Wang, Jing Liu, Yuting Su, Weizhi Nie:
Efficient Spatio-Temporal Video Grounding with Semantic-Guided Feature Decomposition. ACM Multimedia 2023: 4867-4876 - [i5]Jiarui Wang, Huiyu Duan, Jing Liu, Shi Chen, Xiongkuo Min, Guangtao Zhai:
AIGCIQA2023: A Large-scale Image Quality Assessment Database for AI Generated Images: from the Perspectives of Quality, Authenticity and Correspondence. CoRR abs/2307.00211 (2023) - [i4]Xilei Zhu, Huiyu Duan, Yuqin Cao, Yuxin Zhu, Yucheng Zhu, Jing Liu, Li Chen, Xiongkuo Min, Guangtao Zhai:
Perceptual Quality Assessment of Omnidirectional Audio-visual Signals. CoRR abs/2307.10813 (2023) - [i3]Zijian Chen, Wei Sun, Jun Jia, Fangfang Lu, Zicheng Zhang, Jing Liu, Ru Huang, Xiongkuo Min, Guangtao Zhai:
BAND-2k: Banding Artifact Noticeable Database for Banding Detection and Quality Assessment. CoRR abs/2311.17752 (2023) - 2022
- [j39]Jing Liu, Min Yuan, Xiangdong Huang, Yuting Su, Xiaokang Yang:
DIPONet: Dual-information progressive optimization network for salient object detection. Digit. Signal Process. 126: 103425 (2022) - [j38]Jing Liu, Jiaxiang Wang, Weikang Wang, Yuting Su:
DS-Net: Dynamic spatiotemporal network for video salient object detection. Digit. Signal Process. 130: 103700 (2022) - [j37]Jing Liu, Weikang Wang, Jiexiao Yu, Chunping Zhang, Yuting Su:
3DFP-FCGAN: Face completion generative adversarial network with 3D facial prior. J. Vis. Commun. Image Represent. 82: 103380 (2022) - [j36]Jing Liu, Yating Wang, Xiangdong Huang, Yuting Su:
Tracking by dynamic template: Dual update mechanism. J. Vis. Commun. Image Represent. 84: 103456 (2022) - [j35]Weizhi Nie, Xin Wen, Jing Liu, Yuting Su:
Iterative Residual Feature Refinement Network for Bit-Depth Enhancement. IEEE Signal Process. Lett. 29: 1387-1391 (2022) - [j34]Jing Liu, Xin Wen, Weizhi Nie, Yuting Su, Peiguang Jing, Xiaokang Yang:
Residual-Guided Multiscale Fusion Network for Bit-Depth Enhancement. IEEE Trans. Circuits Syst. Video Technol. 32(5): 2773-2786 (2022) - [j33]Peiguang Jing, Jing Zhang, Liqiang Nie, Shu Ye, Jing Liu, Yuting Su:
Tripartite Graph Regularized Latent Low-Rank Representation for Fashion Compatibility Prediction. IEEE Trans. Multim. 24: 1277-1287 (2022) - [j32]Jing Liu, Ziwen Yang, Yuting Su, Xiaokang Yang:
TANet: Target Attention Network for Video Bit-Depth Enhancement. IEEE Trans. Multim. 24: 4212-4223 (2022) - [c20]Jing Liu, Xin Li, Xiaofeng Mi, Yuting Su:
Bit-Depth Enhancement with Distortion Sensitivity. IFTC 2022: 106-120 - 2021
- [j31]Jing Zhang, Qianqian Dou, Jing Liu, Yuting Su, Wanning Sun:
BE-ACGAN: Photo-realistic residual bit-depth enhancement by advanced conditional GAN. Displays 69: 102040 (2021) - [j30]Yu-Ting Su, Yao Lu, Jing Liu, Mei Chen, An-An Liu:
Spatio-Temporal Mitosis Detection in Time-Lapse Phase-Contrast Microscopy Image Sequences: A Benchmark. IEEE Trans. Medical Imaging 40(5): 1319-1328 (2021) - [j29]Peiguang Jing, Yuechen Shang, Liqiang Nie, Yuting Su, Jing Liu, Meng Wang:
Learning Low-Rank Sparse Representations With Robust Relationship Inference for Image Memorability Prediction. IEEE Trans. Multim. 23: 2259-2272 (2021) - [c19]Yuting Su, Jiaqi Zhang, Jing Liu, Guangtao Zhai:
Key Facial Components Guided Micro-Expression Recognition Based on First & Second-Order Motion. ICME 2021: 1-6 - 2020
- [j28]Jing Liu, Han Wang, Changfei Yan, Min Yuan, Yuting Su:
SODA²: Salient Object Detection With Structure-Adaptive & Scale-Adaptive Receptive Field. IEEE Access 8: 204160-204172 (2020) - [j27]Jing Liu, Jingting Wang, Weizhi Nie, Yuting Su, Anan Liu:
An End-to-End Perceptual Quality Assessment Method via Score Distribution Prediction. Neural Process. Lett. 51(3): 2123-2137 (2020) - [j26]Jing Liu, Jincheng Lv, Min Yuan, Jing Zhang, Yuting Su:
ABSNet: Aesthetics-Based Saliency Network Using Multi-Task Convolutional Network. IEEE Signal Process. Lett. 27: 2014-2018 (2020) - [j25]Peiguang Jing, Shu Ye, Liqiang Nie, Jing Liu, Yuting Su:
Low-Rank Regularized Multi-Representation Learning for Fashion Compatibility Prediction. IEEE Trans. Multim. 22(6): 1555-1566 (2020) - [i2]Yuting Su, Weikang Wang, Jing Liu, Peiguang Jing, Xiaokang Yang:
DS-Net: Dynamic Spatiotemporal Network for Video Salient Object Detection. CoRR abs/2012.04886 (2020)
2010 – 2019
- 2019
- [j24]Jing Liu, Wanning Sun, Mengjie Li:
Recurrent Conditional Generative Adversarial Network for Image Deblurring. IEEE Access 7: 6186-6193 (2019) - [j23]Jing Liu, Bing Yang, Yuting Su, Pingping Liu:
Fast Context-Adaptive Bit-Depth Enhancement via Linear Interpolation. IEEE Access 7: 59403-59412 (2019) - [j22]Yuting Su, Wanning Sun, Jing Liu, Guangtao Zhai, Peiguang Jing:
Photo-realistic image bit-depth enhancement via residual transposed convolutional neural network. Neurocomputing 347: 200-211 (2019) - [j21]Ning Xu, An-An Liu, Jing Liu, Weizhi Nie, Yuting Su:
Scene graph captioner: Image captioning based on structural visual representation. J. Vis. Commun. Image Represent. 58: 477-485 (2019) - [j20]Jing Zhang, Yue Shi, Peiguang Jing, Jing Liu, Yuting Su:
A structure-transfer-driven temporal subspace clustering for video summarization. Multim. Tools Appl. 78(17): 24123-24145 (2019) - [j19]Anan Liu, Jingting Wang, Jing Liu, Yuting Su:
Comprehensive image quality assessment via predicting the distribution of opinion score. Multim. Tools Appl. 78(17): 24205-24222 (2019) - [j18]Peiguang Jing, Yuting Su, Zhengnan Li, Jing Liu, Liqiang Nie:
Low-rank regularized tensor discriminant representation for image set classification. Signal Process. 156: 62-70 (2019) - [j17]Peiguang Jing, Yuting Su, Liqiang Nie, Huimin Gu, Jing Liu, Meng Wang:
A Framework of Joint Low-Rank and Sparse Regression for Image Memorability Prediction. IEEE Trans. Circuits Syst. Video Technol. 29(5): 1296-1309 (2019) - [j16]Jing Liu, Wanning Sun, Yuting Su, Peiguang Jing, Xiaokang Yang:
BE-CALF: Bit-Depth Enhancement by Concatenating All Level Features of DNN. IEEE Trans. Image Process. 28(10): 4926-4940 (2019) - [j15]Wenhan Zhu, Guangtao Zhai, Xiongkuo Min, Menghan Hu, Jing Liu, Guodong Guo, Xiaokang Yang:
Multi-Channel Decomposition in Tandem With Free-Energy Principle for Reduced-Reference Image Quality Assessment. IEEE Trans. Multim. 21(9): 2334-2346 (2019) - [j14]Jing Liu, Pingping Liu, Yuting Su, Peiguang Jing, Xiaokang Yang:
Spatiotemporal Symmetric Convolutional Neural Network for Video Bit-Depth Enhancement. IEEE Trans. Multim. 21(9): 2397-2406 (2019) - 2018
- [j13]Jing Liu, Wanning Sun, Peiguang Jing, Jiexiao Yu, Yuting Su:
Improving Bit-Depth Expansion via Context-Aware MMSE Optimization (CAMO). IEEE Access 6: 46396-46406 (2018) - [j12]Yuting Su, Xu Bai, Wu Li, Peiguang Jing, Jing Zhang, Jing Liu:
Graph regularized low-rank tensor representation for feature selection. J. Vis. Commun. Image Represent. 56: 234-244 (2018) - [j11]Anan Liu, Yingdi Shi, Peiguang Jing, Jing Liu, Yuting Su:
Low-rank regularized multi-view inverse-covariance estimation for visual sentiment distribution prediction. J. Vis. Commun. Image Represent. 57: 243-252 (2018) - [j10]Wenhan Zhu, Guangtao Zhai, Menghan Hu, Jing Liu, Xiaokang Yang:
Arrow's Impossibility Theorem inspired subjective image quality assessment approach. Signal Process. 145: 193-201 (2018) - [j9]Anan Liu, Yingdi Shi, Peiguang Jing, Jing Liu, Yuting Su:
Structured low-rank inverse-covariance estimation for visual sentiment distribution prediction. Signal Process. 152: 206-216 (2018) - [j8]Jing Zhang, Xinhui Li, Peiguang Jing, Jing Liu, Yuting Su:
Low-Rank Regularized Heterogeneous Tensor Decomposition for Subspace Clustering. IEEE Signal Process. Lett. 25(3): 333-337 (2018) - [j7]Jing Liu, Guangtao Zhai, Anan Liu, Xiaokang Yang, Xibin Zhao, Chang Wen Chen:
IPAD: Intensity Potential for Adaptive De-Quantization. IEEE Trans. Image Process. 27(10): 4860-4872 (2018) - [j6]Peiguang Jing, Yuting Su, Liqiang Nie, Xu Bai, Jing Liu, Meng Wang:
Low-Rank Multi-View Embedding Learning for Micro-Video Popularity Prediction. IEEE Trans. Knowl. Data Eng. 30(8): 1519-1532 (2018) - [j5]Xiongkuo Min, Ke Gu, Guangtao Zhai, Jing Liu, Xiaokang Yang, Chang Wen Chen:
Blind Quality Assessment Based on Pseudo-Reference Image. IEEE Trans. Multim. 20(8): 2049-2062 (2018) - [c18]Zhaohui Che, Guangtao Zhai, Jing Liu, Ke Gu, Patrick Le Callet, Jiantao Zhou, Xianming Liu:
A Blind Quality Measure for Industrial 2D Matrix Symbols Using Shallow Convolutional Neural Network. ICIP 2018: 2481-2485 - [c17]Yezhao Fan, Yuchen Zhu, Guangtao Zhai, Jia Wang, Jing Liu:
A Data-Driven No-Reference Image Quality Assessment via Deep Convolutional Neural Networks. PCM (2) 2018: 361-371 - 2017
- [j4]Duo Li, Guangtao Zhai, Xiaokang Yang, Menghan Hu, Jing Liu:
Perceptual information hiding based on multi-channel visual masking. Neurocomputing 269: 170-179 (2017) - [j3]Xiongkuo Min, Guangtao Zhai, Ke Gu, Jing Liu, Shiqi Wang, Xinfeng Zhang, Xiaokang Yang:
Visual attention analysis and prediction on human faces. Inf. Sci. 420: 417-430 (2017) - [c16]Yuanchun Chen, Guangtao Zhai, Zhongpai Gao, Ke Gu, Wenjun Zhang, Menghan Hu, Jing Liu:
Movie piracy tracking using temporal psychovisual modulation. BMSB 2017: 1-4 - [c15]Wenbin Fang, Guangtao Zhai, Xiaokang Yang, Jing Liu, Yuanchun Chen:
An eye-friendly dual-view projection system using temporal psychovisual modulation. BMSB 2017: 1-5 - [c14]Shuang Ma, Jing Liu, Chang Wen Chen:
A-Lamp: Adaptive Layout-Aware Multi-patch Deep Convolutional Neural Network for Photo Aesthetic Assessment. CVPR 2017: 722-731 - [c13]Wei Sun, Guangtao Zhai, Xiongkuo Min, Yutao Liu, Siwei Ma, Jing Liu, Jiantao Zhou, Xianming Liu:
Dynamic backlight scaling considering ambient luminance for mobile energy saving. ICME 2017: 25-30 - [c12]Jing Liu, Guangtao Zhai, Xiaokang Yang, Menghan Hu, Chang Wen Chen:
IPAD: Intensity potential for adaptive de-quantization. ICME 2017: 1207-1212 - [c11]Jing Liu, Wanning Sun, Yutao Liu:
Bit-Depth Enhancement via Convolutional Neural Network. IFTC 2017: 255-264 - [c10]Yi Zhang, Guangtao Zhai, Jing Liu, Xinlin Weng, Yuanchun Chen:
'Window of visibility' inspired security lighting system. IWSSIP 2017: 1-5 - [c9]Yezhao Fan, Guangtao Zhai, Jia Wang, Menghan Hu, Jing Liu:
Multiple Thermal Face Detection in Unconstrained Environments Using Fully Convolutional Networks. PCM (2) 2017: 24-33 - [c8]Wenhan Zhu, Guangtao Zhai, Wei Sun, Yi Xu, Jing Liu, Yucheng Zhu, Xiaokang Yang:
On the Impact of Environmental Sound on Perceived Visual Quality. PCM (2) 2017: 723-734 - [i1]Shuang Ma, Jing Liu, Chang Wen Chen:
A-Lamp: Adaptive Layout-Aware Multi-Patch Deep Convolutional Neural Network for Photo Aesthetic Assessment. CoRR abs/1704.00248 (2017) - 2016
- [c7]Wenhan Zhu, Guangtao Zhai, Jing Liu, Jia Wang, Xiaokang Yang:
Distinguish True or False 4K Resolution Using Frequency Domain Analysis and Free-Energy Modelling. CCBD 2016: 197-202 - [c6]Bing Yang, Xiaoyun Zhang, Jing Liu, Li Chen, Zhiyong Gao:
Principal components analysis-based visual saliency detection. ICASSP 2016: 1936-1940 - [c5]Jing Liu, Xiaokang Yang, Guangtao Zhai, Chang Wen Chen:
Visual saliency model based on minimum description length. ISCAS 2016: 990-993 - 2015
- [j2]Jing Liu, Guangtao Zhai, Xiaokang Yang, Bing Yang, Li Chen:
Spatial Error Concealment With an Adaptive Linear Predictor. IEEE Trans. Circuits Syst. Video Technol. 25(3): 353-366 (2015) - [c4]Jing Liu, Guangtao Zhai, Xiaokang Yang, Chang Wen Chen:
Image inpainting with adaptive linear predictor. ICME 2015: 1-6 - 2014
- [j1]Jing Liu, Guangtao Zhai, Xiaokang Yang, Li Chen:
Lossless Predictive Coding for Images With Bayesian Treatment. IEEE Trans. Image Process. 23(12): 5519-5530 (2014) - [c3]Jing Liu, Guangtao Zhai, Xiaokang Yang, Bing Yang:
Spatial error concealment with adaptive linear predictor. ISCAS 2014: 2728-2731 - 2013
- [c2]Jing Liu, Xiaokang Yang, Guangtao Zhai, Li Chen:
Hybrid image interpolation with soft-decision kernel regression. ISCAS 2013: 765-768 - [c1]Jing Liu, Xiaokang Yang, Guangtao Zhai, Li Chen, Xianghui Sun, Wanhong Chen, Ying Zuo:
Lossless predictive coding with Bayesian treatment. VCIP 2013: 1-6
Coauthor Index
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last updated on 2024-11-05 21:01 CET by the dblp team
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