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Jia Yan 0006
Person information
- affiliation: Wuhan University, Wuhan, China
Other persons with the same name
- Jia Yan — disambiguation page
- Jia Yan 0001
— Southwest University of Science and Technology, Mianyang, Sichuan, China - Jia Yan 0002
— Southwest University, Chongqing, China - Jia Yan 0003
— University of Minnesota Twin Cities, Minneapolis, MN, USA - Jia Yan 0004
— Institute of Software, Chinese Academy of Sciences, China - Jia Yan 0005
— Huawei Technologies, Shenzhen, China - Jia Yan 0007
— Harbin University of Commerce, China - Jia Yan 0008
— Samsung Research Center-Shenzhen, Shenzhen, China
Other persons with a similar name
- Yan Jia — disambiguation page
- Yan-Bin Jia
![0000-0002-0384-6058 [0000-0002-0384-6058]](/post-https-dblp.org/img/orcid-mark.12x12.png)
- Yan-Long Jia
- Yan Jia 0001
— National University of Defense Technology, College of Computer, Changsha, China - Yan Jia 0003 — Anhui University, School of Mathematical Sciences, Hefei, China
- Yan Jia 0004
— Nanjing University of Posts and Telecommunications, School of Geographic and Biologic Information, China (and 1 more) - Yan Jia 0008
— University of York, Department of Computer Science, UK - Yan Jia 0009
— Nankai University, College of Cyber Science, Tianjin, China (and 1 more) - Jia-Wei Yan
- Jia-Yan Yao
- show all similar names
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2020 – today
- 2024
[j16]Shuaibo Cheng, Xiaopeng Li, Zhaoyuan Zeng, Jia Yan
:
ADS-VQA: Adaptive sampling model for video quality assessment. Displays 84: 102792 (2024)
[c5]Zhongjie Mao, Yucheng Wang, Xi Chen, Jia Yan:
Textual Tokens Classification for Multi-Modal Alignment in Vision-Language Tracking. ICASSP 2024: 8025-8029- 2023
[j15]Zhongjie Mao
, Chenxia Wei
, Chen Yang
, Xi Chen
, Jia Yan
:
Tiny Object Tracking With Proposal Position Enhancement. IEEE Signal Process. Lett. 30: 1692-1696 (2023)
[c4]Xunpeng Yi, Yuxuan Wang, Yizhen Zhao, Jia Yan, Weixia Zhang:
Llieformer: A Low-Light Image Enhancement Transformer Network with a Degraded Restoration Model. ICIP 2023: 1195-1199- 2020
[j14]Jun Liu, Jia Yan, Dexiang Deng, Ruijue Zhang:
Fingerprint image quality assessment based on BP neural network with hierarchical clustering. IET Inf. Secur. 14(2): 185-195 (2020)
[j13]Weixia Zhang, Kede Ma
, Jia Yan
, Dexiang Deng, Zhou Wang:
Blind Image Quality Assessment Using a Deep Bilinear Convolutional Neural Network. IEEE Trans. Circuits Syst. Video Technol. 30(1): 36-47 (2020)
2010 – 2019
- 2019
[j12]Shiyong Hu, Jia Yan, Weixia Zhang, Dexiang Deng:
No-reference quality assessment for contrast-altered images using an end-to-end deep framework. J. Electronic Imaging 28(1): 013041 (2019)
[j11]Lijun Wang, Jia Yan, Tao Han, Dexiang Deng:
On Connectivity and Energy Efficiency for Sleeping-Schedule-Based Wireless Sensor Networks. Sensors 19(9): 2126 (2019)
[c3]Lijun Wang, Jia Yan, Kan Yu, Dexiang Deng:
Research of D2D Communications Mode for 5G Vehicular Networks. ICC Workshops 2019: 1-6
[c2]Weixia Zhang, Guangtao Zhai
, Xiaokang Yang, Jia Yan:
Hierarchical Features Fusion for Image Aesthetics Assessment. ICIP 2019: 3771-3775
[i2]Weixia Zhang, Kede Ma, Jia Yan, Dexiang Deng, Zhou Wang:
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network. CoRR abs/1907.02665 (2019)- 2018
[j10]Yang Ma, Weixia Zhang
, Jia Yan, Cien Fan, Wenxuan Shi:
Blind image quality assessment in multiple bandpass and redundancy domains. Digit. Signal Process. 80: 37-47 (2018)
[i1]Lijun Wang, Tao Han, Qiang Li, Jia Yan, Xiong Liu, Dexiang Deng:
Cell-less Communications in 5G Vehicular Networks Based on Vehicle-Installed Access Points. CoRR abs/1801.09262 (2018)- 2017
[j9]Weixia Zhang, Jia Yan, Wenxuan Shi, Tianpeng Feng, Dexiang Deng:
Refining deep convolutional features for improving fine-grained image recognition. EURASIP J. Image Video Process. 2017: 27 (2017)
[j8]Weixia Zhang, Jia Yan, Wenxuan Shi, Tianpeng Feng, Dexiang Deng:
Erratum to: Refining deep convolutional features for improving fine-grained image recognition. EURASIP J. Image Video Process. 2017: 33 (2017)
[j7]Jie Li, Jia Yan, Dexiang Deng, Wenxuan Shi, Songfeng Deng:
No-reference image quality assessment based on hybrid model. Signal Image Video Process. 11(6): 985-992 (2017)
[j6]Lijun Wang, Tao Han, Qiang Li, Jia Yan, Xiong Liu, Dexiang Deng:
Cell-Less Communications in 5G Vehicular Networks Based on Vehicle-Installed Access Points. IEEE Wirel. Commun. 24(6): 64-71 (2017)- 2016
[j5]Yifeng Liu, Lian Zou, Jie Li, Jia Yan, Wenxuan Shi, Dexiang Deng:
Segmentation by weighted aggregation and perceptual hash for pedestrian detection. J. Vis. Commun. Image Represent. 36: 80-89 (2016)
[j4]Jie Li, Lian Zou, Jia Yan, Dexiang Deng, Tao Qu, Guihui Xie:
No-reference image quality assessment using Prewitt magnitude based on convolutional neural networks. Signal Image Video Process. 10(4): 609-616 (2016)
[c1]Jia Yan, Weixia Zhang, Tianpeng Feng:
Blind Image Quality Assessment Based on Natural Redundancy Statistics. ACCV (4) 2016: 3-18- 2015
[j3]Jia Yan, Xi Chen, Dexiang Deng, Qiuping Zhu:
Visual object tracking via online sparse instance learning. J. Vis. Commun. Image Represent. 26: 231-246 (2015)- 2014
[j2]Jia Yan, Xi Chen, Dexiang Deng, Qiuping Zhu:
Structured partial least squares based appearance model for visual tracking. Neurocomputing 144: 581-595 (2014)- 2013
[j1]Qiuping Zhu, Jia Yan, Dexiang Deng:
Compressive tracking via oversaturated sub-region classifiers. IET Comput. Vis. 7(6): 448-455 (2013)
Coauthor Index

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last updated on 2026-05-11 00:26 CEST by the dblp team
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