王中元
437bwin必贏國(guó)際官網(wǎng) 計(jì)算機(jī)科學(xué)系 國(guó)家多媒體軟件工程技術(shù)研究中心 教授 (博導(dǎo))
姓名：王中元 主頁(yè)： 性別：男 職稱：教授 (博導(dǎo)) 學(xué)歷學(xué)位：博士 電話： 辦公地點(diǎn)：604 E-mail：wzy_hope ▇ 163.com 請(qǐng)手工替換符號(hào) 領(lǐng)域：多媒體技術(shù)與大數(shù)據(jù)分析,計(jì)算機(jī)視覺(jué),空間信息處理, 招生信息：年度招收碩士0名，招收方向：。 招收博士0名，招收方向：。 |
研究方向
王中元，437bwin必贏國(guó)際官網(wǎng)、國(guó)家多媒體軟件工程技術(shù)研究中心教授，博士生導(dǎo)師。長(zhǎng)期從事多媒體信息處理、監(jiān)控視頻大數(shù)據(jù)分析、身份計(jì)算的研究，主持國(guó)家自然科學(xué)基金面上項(xiàng)目3項(xiàng)、重點(diǎn)項(xiàng)目1項(xiàng)，主持湖北省技術(shù)創(chuàng)新重大項(xiàng)目1項(xiàng)，擔(dān)任新一代寬帶無(wú)線移動(dòng)通信網(wǎng)國(guó)家重大科技專項(xiàng)項(xiàng)目副組長(zhǎng)。作為技術(shù)負(fù)責(zé)人研制的網(wǎng)絡(luò)攝像機(jī)、視頻服務(wù)器分別獲得CES大獎(jiǎng)、全國(guó)十大安防新銳產(chǎn)品，參加實(shí)施了東莞平安城市、深圳電子公交監(jiān)控等重大工程項(xiàng)目，編制3項(xiàng)公安部標(biāo)準(zhǔn)，針對(duì)新冠肺炎人員防控研發(fā)的口罩人臉識(shí)別技術(shù)受到湖北日?qǐng)?bào)、環(huán)球時(shí)報(bào)、中國(guó)科技新聞網(wǎng)等媒體廣泛關(guān)注。在國(guó)際權(quán)威期刊和頂級(jí)國(guó)際會(huì)議發(fā)表論文80余篇（含5篇ESI熱點(diǎn)/高被引論文），第一申請(qǐng)人授權(quán)發(fā)明專利30余項(xiàng)，其中3項(xiàng)專利技術(shù)被我國(guó)AVS國(guó)家標(biāo)準(zhǔn)采納，指導(dǎo)研究生獲得IEEE AIM 2019國(guó)際競(jìng)賽第二名。獲得教育部、公安部、湖北省、廣東省科技獎(jiǎng)勵(lì)6項(xiàng)。
教育背景
1991-1995, 437bwin必贏國(guó)際官網(wǎng)本科
1998-2001，437bwin必贏國(guó)際官網(wǎng)碩士
2001-2008，437bwin必贏國(guó)際官網(wǎng)博士
2012-2013, 美國(guó)Texas A&M大學(xué)博士后訪問(wèn)學(xué)者
工作經(jīng)驗(yàn)
2001-2006，437bwin必贏國(guó)際官網(wǎng)助教
2006-2009，437bwin必贏國(guó)際官網(wǎng)講師
2009-2014，437bwin必贏國(guó)際官網(wǎng)副教授
2014-，437bwin必贏國(guó)際官網(wǎng)教授
教授課程
數(shù)字圖像處理、深度學(xué)習(xí)與計(jì)算機(jī)視覺(jué)、數(shù)字視頻處理。
發(fā)表論文
[1] Zhongyuan Wang, Ruimin Hu, Shizheng Wang, Junjun Jiang, Face Hallucination via Weighted Adaptive Sparse Regularization, IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no. 5, pp. 802–813, 2014.
[2] ZhongYuan Wang, Zhen Han, RuiMin Hu, JunJun Jiang, Noise robust face hallucination employing Gaussian-Laplacian mixture model, Neurocomputing, 133:153-160, 2014.
[3] Zhongyuan Wang, Ruimin Hu, Zhenfeng Shao, Zhiqiang Hou, Parameter Estimation in Sparse Representation Based Face Hallucination, Digital Signal Processing, 31: 28-34, 2014.
[4] Rui Zhong, Ruimin Hu, Zhongyuan Wang, Shizheng Wang, Fast Synopsis for Moving Objects Using Compressed Video, Signal Processing Letters, 21 (7): 834-838, Jul. 2014.
[5] J. Jiang, R. Hu, Z. Wang, and Z. Han, Noise Robust Face Hallucination via Locality-constraint Representation, IEEE Transaction on Multimedia, 16(5):1268-1281 , Aug. 2014.
[6] Junjun Jiang, Ruimin Hu, Zhongyuan Wang, Zhen Han, Face Super-Resolution via Multi-layer Locality-constrained Iterative Neighbor Embedding and Intermediate Dictionaries Learning, IEEE Trans. on Image Process., 23(10): 4220 - 4231 ,Oct. 2014.
[7] Zhiqiang Hou, Ruimin Hu, Zhongyuan Wang, Cloud Model-based Dynamic Texture Synthesis for Video coding, ICPR 2014, pp. 838 -842.
[8] Jinhui Hu, Ruimin Hu, Zhongyuan Wang, Structure tensor based in-loop filter for depth video coding, Electronics Letters, 50 (4):274-276, 2014.
[9] Lin Jiang, Ruimin Hu, Xiaochen Wang, Maoshen Zhang, Zhongyuan Wang, AVS2 speech and audio coding scheme for high quality at low bitrates, ICME 2014, pp.1-6.
[10] Zhongyuan Wang, Jun Chang, Ruimin Hu, Rui Zhong, Generating algorithm for integer DST radixes in video coding, Journal of Visual Communication and Image Representation, 25 (8): 1918–1921, 2014.
[11] Shenming Qu, Ruimin Hu, Shihong Chen, Junjun Jiang, Zhongyuan Wang, Jun Chen, Face hallucination via re-identified K-nearest neighbors embedding，ICME 2014, pp.1-6.
[12] Rui Zhong, Ruimin Hu, Zhongyuan Wang, Shizheng Wang, 3D Hybrid Just Noticeable Distortion modeling for Depth Image-Based Rendering, Multimedia Tools and Applications, vol.74, no.23, pp. 10457-10478 , 2015.
[13] Shenming Qu, Ruimin Hu, Zhongyuan Wang, Shihong Chen, Face hallucination via Cauchy regularized sparse representation, ICASSP’2015, pp. 1216-1220.
[14] Jin Wang, Chao Liang, Xiaochen Wang, Zhongyuan Wang, Real-life Voice Activity Detection based on Audio-visual Alignment, PCM 2015, vol. 9315, pp.109-117.
[15] Zhongyuan Wang, Jing Xiao, Tao Lu, Zhenfeng Shao, Ruimin Hu, Tuning Sparsity for Face Hallucination Representation, PCM 2015, vol. 9314, pp.299-309.
[16] Mingshen Ma, Ruimin Hu, Shihong Chen, Jing Xiao, Zhongyuan Wang, Shenming Qu, Global Object Representation of Scene Surveillance Video Based on Model and Feature Parameters, PCM 2015, vol. 9314, pp. 223-232.
[17] 宋曉煒,劉清麗,楊蕾,劉洲峰,王中元.基于Kinect傳感器的紅外場(chǎng)景增強(qiáng), 激光與紅外, 45(3):325-330, 2015年3月.
[18] 王瑾,梁超,王曉晨,王中元,胡瑞敏.基于視覺(jué)顯著度的說(shuō)話檢測(cè), 437bwin必贏國(guó)際官網(wǎng)學(xué)報(bào)(理學(xué)版),2015,(04) .
[19] Zhongyuan Wang, Zhen Han, Qijun Wang, and Jinhui Hu, Face hallucination via trend-constrained regularization, Journal of Signal Processing Systems, 79 (1): 105-111,Apr. 2015.
[20] JingYa Zhu, ZhongYuan Wang, Rui Zhong, ShenMing Qu, Dictionary based surveillance image compression, J. Vis. Commun. Image R., 31: 225–230, Aug. 2015.
[21] Zhongyuan Wang, Jinhui Hu, ShiZheng Wang, Tao Lu, Trilateral constrained sparse representation for Kinect depth hole filling, Pattern Recognition Letters, 65(1): 95–102, 2015.
[22] Shenming Qu, Ruimin Hu, Shihong Chen, Junjun Jiang, Zhongyuan Wang, Maosheng Zhang, Super-resolution for face image with an improved K-NN search strategy, China Communications, vol. 13, no. 4, pp. 151-161, 2016.
[23] Junjun Jiang, Ruimin Hu, Zhongyuan Wang, Zhen Han, Jiayi Ma, Facial Image Hallucination through Coupled-Layer Neighbor Embedding, IEEE Trans. on Circuits and Systems for Video Technology, vol. 26, no.9, pp.1674-1684, Sept. 2016.
[24] Zhongyuan Wang, Xiaowei Song, ShiZheng Wang, Jing Xiao, Rui Zhong, Ruimin Hu, Filling Kinect depth holes via position-guided low rank matrix completion, Neurocomputing, vol.215, pp.48–52, Nov. 2016.
[25] Zhongyuan Wang, Ruimin Hu, Junjun Jiang, Zhen Han, Zhenfeng Shao, Heteroskedasticity tuned mixed-norm sparse regularization for face hallucination, Multimedia Tools and Applications, vol.75, no. 24, pp.17273–17301, Dec. 2016.
[26] Tang H., Liu X., Xiong C., Wang Z., Ez Eldin M., Proof of Nondeterministic Polynomial-Time Complete Problem for Soil Slope-Stability Evaluation, International Journal of Geomechanics, vol. 16, no. 5, Oct. 2016.
[27] Junjun Jiang, Zhongyuan Wang, Chen Chen, Tao Lu, L1-L1 norms for face super-resolution with mixed Gaussian-impulse noise, ICASSP 2016, pp. 2089-2093.
[28] Kefan Shen, Zhongyuan Wang, Zhen Han, Fast video enhancement transcoding, ICIP’2016, Phoenix, Arizona, USA, Sept. 25-28, 2016, pp. 2177-2181.
[29] Liguo Zhou, Zhongyuan Wang, Youming Fu, Jun Chen, Rui Xiang, Rui Zhong, Shizheng Wang, Depth image in-loop filter via graph cut, ICIP’2016, pp. 4027-4031.
[30] Jiayi Ma, Chang Li, Yong Ma, Zhongyuan Wang, Hyperspectral image denoising based on low-rank representation and superpixel segmentation, ICIP’2016, pp.3086 -3090.
[31] Liuyi Hu, Zhongyuan Wang, Mang Ye, Jing Xiao, Ruimin Hu, Spatiotemporal saliency based on location prior model, International Joint Conference on Neural Networks( IJCNN), 2016, pp.2526 -2533. (Oral)
[32] Liang Chen, Ruimin Hu, Zhen Han, Zhongyuan Wang, Qing Li, Zheng Lu. Face Super Resolution for VLQ facial images via parent patch matching. International Joint Conference on Neural Networks (IJCNN), 2016, pp. 2515-2521. (Oral)
[33] Qi wang,Zhongyuan Wang,Jing Xiao, Jun Xiao, Wenbin Li, Fine-grained Vehicle Recognition in Traffic Surveillance, PCM 2016, pp. 285-295. (Oral)
[34] Mengling Shao, Ruimin Hu, Xu Wang, Zhongyuan Wang, Jing Xiao, Ge Gao, Salient Object Detection in Video Based on Dynamic Attention Center, PCM 2016, pp.458-468.
[35] Mingfu Xiong, Jun Chen, Zheng Wang, Zhongyuan Wang, Ruimin Hu, Chao Liang, Daming Shi, Person re-identification via multiple coarse-to-fine deep metrics, European Conference on Artificial Intelligence (ECAI), 2016, pp. 355-362.
[36] Junjun Jiang, Jiayi Ma, Chen Chen, Zhongyuan Wang, Tao Lu, Smooth sparse representation for noise robust face super-resolution, VCIP 2016, pp.1-4.
[37] Chang Li,Yong Ma,Yuan Gao, Zhongyuan Wang, Jiayi Ma, Sparse unmixing of hyperspectral data based on robust linear mixing model, VCIP 2016, pp.1-4.
[38] Jinhui Hu, Zhongyuan Wang, Ruolin Ruan, Kinect Depth Holes Filling by Similarity and Position Constrained Sparse Representation, ICISP 2016: 378-387.
[39] Jing Xiao, Ruimin Hu, Liang Liao, Zhongyuan Wang, Zxixiang Xiong, Knowledge-based Coding of Objects for Multisource Surveillance Video Data, IEEE Transactions on Multimedia, 18(9): 1691-1706, 2016.
[40] Jing Xiao, Zhongyuan Wang, Yu Chen, Liang Liao, Jun Xiao, Gen Zhan, Ruimin Hu, A Sensitive object-oriented Approach to Big Surveillance Data Compression for Social Security Applications in Smart Cities, Software Experience and Practice, vol. 47, no. 8, pp.1061-1080, 2017.
[41] J. Jiang, J. Ma, C. Chen, X. Jiang, and Z. Wang, Noise robust face image super-resolution through smooth sparse representation, IEEE Transactions on Cybernetics, vol. 47, no. 11, pp. 3991–4002, 2017.
[42] Junjun Jiang, Xiang Ma, Chen Chen, Tao Lu, Zhongyuan Wang, Jiayi Ma, Single Image Super-Resolution via Locally Regularized Anchored Neighborhood Regression and Nonlocal Means, IEEE Transactions on Multimedia, 19(1):15-26, 2017.
[43] Junjun Jiang, Chen Chen, Jiayi Ma, Zheng Wang, Zhongyuan Wang, Ruimin Hu, SRLSP:A Face Image Super-Resolution Algorithm Using Smooth Regression with Local Structure Prior, IEEE Transactions on Multimedia, 19(1):27-40, 2017.
[44] Anna Zhang, Zhen Han, Zhongyuan Wang, Efficient mode decision for noisy video transcoding, ICASSP 2017, pp.1527-1531.
[45] Liang Chen, Ruimin Hu, Zhen Han, Zhongyuan Wang, Qing Li, A joint learning based face super resolution approach via contextual topological structure, ICASSP 2017, pp.1088-1092.
[46] Xu Wang, Ruimin Hu, Jing Xiao, Zhongyuan Wang, Cruise UAV Video Compression Based on Long-Term Wide-Range Background, DCC'2017, pp.466-466.
[47] Yong Ma, Huabing Zhou, Jun Chen, Jingshu Shi, Zhongyuan Wang, Non-Rigid Feature Matching for Image Retrieval Using Global and Local Regularizations, ICME 2017, pp. 1416 – 1421.
[48] Xiao Aoran, Shao Zhenfeng, Zhongyuan Wang, Sparse Coding for Super-Resolution via K-Means Classification, 2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 10-14 July 2017, pp. 363-368.
[49] Zhongyuan Wang, Zhiqiang Hou, Jing Xiao, Ruoxi Wang, Rong Zhu, A Hybrid Intra Refresh and Reference Selection Scheme for Mobile Video Coding, 2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 10-14 July 2017, pp. 357-362.
[50] Zhongyuan Wang, Liguo Zhou, Rong Zhu, Zheng He, Dan Chen, Sharpness preservation video upscaling, the 2017 10th International Congress on Image and Signal Processing (CISP’2017), 2017, pp. 1-5.
[51] Anna Zhang, Zhongyuan Wang, Zhen Han, Youming Fu, Zhen He, H.264 Based Screen Content Coding With HSV Quantization, CISP 2017, pp. 1-5.
[52] Huafeng Chen, Jun Chen, Ruimin Hu, Chen Chen, Zhongyuan Wang, Action recognition with temporal scale-invariant deep learning framework, China Communications, 14(2): 163-172, 2017.
[53] Tao Lu, Hao Wang, Zixiang Xiong, Junjun Jiang, Yanduo Zhang, Huabing Zhou, Zhongyuan Wang, Face hallucination using region-based deep convolutional networks, ICIP 2017.
[54] T. Lu, L. Pan, J. Wang, Y. Zhang, Z. Wang, and Z. Xiong, AWCR: Adaptive and weighted collaborative representations for face super-resolution with context residual-learning, Proc. PCM'2017, Harbin, China, Sept. 2017.
[55] Shu Wang, Zhongyuan Wang, Yimin Luo, Structured Convolutional Compressed Sensing Based on Deterministic Subsamplers, PCM 2017, pp. 400-410.
[58] 肖駿, 肖晶, 王中元, 陳宇, 面向刑事偵查的監(jiān)控視頻顯著性檢測(cè)仿真，計(jì)算機(jī)仿真
[59] Yimin Luo, Liguo Zhou, Shu Wang and Zhongyuan Wang, Video Satellite Imagery Super-Resolution via Convolutional Neural Networks, IEEE Geoscience and Remote Sensing Letters (GRSL), vol.14, no.12, pp. 2398-2402, 2017.
[60] Liguo Zhou, Zhongyuan Wang, Yimin Luo, and Zixiang Xiong, Separability and Compactness Network for Image Recognition and Superresolution, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 30, no. 11, pp. 3275-3286, Nov. 2019.
[61] Mingfu Xiong, Jun Chen, Zhongyuan Wang, Liang Chao and Ruimin Hu, A Multi-scale Triplet Deep Convolutional Neural Network for Person Re-identification, The Pacific-Rim Symposium on Image and Video Technology ( PSIVT 2017), v 10799 LNCS, p 30-41, 2018.
[62] Zhenfeng Shao, Jiajun Cai, Zhongyuan Wang, Smart Monitoring Cameras Driven Intelligent Processing to Big Surveillance Video Data, IEEE Transactions on Big Data, vol. 4, no. 1, pp. 105-116, 2018.
[63] Liguo Zhou, Zhongyuan Wang, Shu Wang and Yimin Luo, Coarse-to-Fine Image Super-Resolution Using Convolutional Neural Networks, 24th International Conference on Multimedia Modeling (MMM 2018) in Bangkok, Thailand, Feb. 5-7, 2018.
[64] Yujing Chen, Jing Xiao, Gen Zhan, Xu Wang, ZhongYuan Wang, Two-level Segment-based Bitrate Control for Live ABR Streaming, MMM 2018. (Oral)
[65] Xin Ding, Ruimin Hu, Zhen Han and Zhongyuan Wang, A Novel Frontal Facial Synthesis Algorithm Based on Individual Residual Face, MMM 2018.
[66] Junjun Jiang, Jiayi Ma, Chen Chen, Zhongyuan Wang, Lizhe Wang, SuperPCA: A Superpixelwise Principal Component Analysis Approach for Unsupervised Feature Extraction of Hyperspectral Imagery, Transactions on Geoscience and Remote Sensing (TGRS), vol.56, no.8, pp. 4581-4593, 2018.
[67] Junjun Jiang, Qing Ma, Tao Lu, Zhongyuan Wang, Jiayi Ma, Feature Matching based on Top K Rank Similarity, ICASSP 2018, Calgary, Canada, 15-20 April 2018, pp. 2316-2320.
[68] Liang Liao, Ruimin Hu, Jing Xiao, Zhongyuan Wang, Edge-Aware Context Encoder for Image Inpainting, ICASSP 2018, pp. 3156 -3160.
[69] Liguo Zhou, Rong Zhu, Yimin Luo, Siwen Liu and Zhongyuan Wang, Improving convolutional neural networks via compacting features, ICASSP 2018, pp. 2946 -2950.
[70] Aoran Xiao, Zhongyuan Wang, Lei Wang and Yexian Ren, Super-Resolution for “Jilin-1”Satellite Video Imagery via a Convolutional Network，Sensors, 18(4): 1194, 2018.
[71] Jing Xiao, Liuyi Hu, Zhongyuan Wang, et. al., Video Saliency Detection Using Spatiotemporal Cues, IEICE Transactions on Information and Systems, vol. E101D, no. 9, pp. 2201-2208, September 2018.
[72] Ma Minsheng, Hu Ruimin, Chen Shihong, Xiao Jing, Wang Zhongyuan, Robust Background Subtraction Method via Low-Rank and Structured Sparse Decomposition, China Communications, 15(7): 156 -167, 2018.
[73] Xuehua Tang, Zhongyuan Wang, Xiaojun Li, Zhen Han, Zheng He, Youming Fu, Performance Analysis for Multimedia Communication Systems with a Multilayer Queuing Network Model，China Communications, vol. 15, no.8, pp. 67-77, 2018.
[74] Zhangyang Xiong, Zhongyuan Wang, Changqing Du, Rong Zhu, Jing Xiao, Tao Lu, An Asian Face Dataset and How Race Influences Face Recognition, PCM 2018.
[75] Siwen Liu, Rong Zhu, Yimin Luo, Zhongyuan Wang, Liguo Zhou, Dataset Refinement for Convolutional Neural Networks via Active Learning, PCM 2018.
[76] Jin Guo, Jun Chen, Zhen Han, Han Liu, Zhongyuan Wang, Ruimin Hu, Adaptive Aggregation Network for Face Hallucination. PCM 2018: 190-199.
[77] Xi Yang, Tao Lu, Jiaming Wang, Yanduo Zhang, Yuntao Wu, Zhongyuan Wang, Zixiang Xiong, Enhanced Discriminative Generative Adversarial Network for Face Super-Resolution. PCM 2018: 441-452.
[78] Xu Wang, Ruimin Hu, Zhongyuan Wang, Jing Xiao, Virtual Background Reference Frame Based Satellite Video Coding, IEEE Signal Processing Letters (SPL), vol. 25, no.10, pp. 1445-1449, 2018.
[79] Kui Jiang, Zhongyuan Wang, Peng Yi, Junjun Jiang, A Progressively Enhanced Network for Video Satellite Imagery Superresolution, IEEE Signal Processing Letters (SPL), vol. 25, no. 11, pp. 1630-1634, 2018.
[80] Zhenfeng Shao, Wenjing Wu, Zhongyuan Wang, Wan Du, and Chengyuan Li，SeaShips: A Large-Scale Precisely-Annotated Dataset for Ship Detection, IEEE Transactions on Multimedia, vol. 20, no. 10, pp. 2593-2604, 2018.
[81] Kangli Zeng, Tao Lu, Junjun Jiang, Zhongyuan Wang, Nonlinear Contextual Face Hallucination, the 15th International Forum of Digital TV and Multimedia Communication (IFTC 2018), Sept. 20-21 2018, Shanghai China, pp. 249-258 .
[82] Tao Lu, Kangli Zeng, Junjun Jiang, Yanduo Zhang, Wei He, Zhongyuan Wang, Huabing Zhou, Face hallucination using manifold-regularized group locality-constrained representation, ICIP 2018.
[83] Tao Lu, Jiaming Wang, Huabing Zhou, Junjun Jiang, Jiayi Ma, and Zhongyuan Wang. "Rectangular-Normalized Superpixel Entropy Index for Image Quality Assessment", Entropy, 20(12), pp. 947, Dec. 2018.
[84] Kui Jiang, Zhongyuan Wang, Peng Yi, Junjun Jiang, Jing Xiao and Yuan Yao, Deep Distillation Recursive Network for Remote Sensing Imagery Super-Resolution, Remote Sensing, 10(11):1700, 2018.
[85] Zhongyuan Wang, Peng Yi, Kui Jiang, Junjun Jiang, Zhen Han, Tao Lu, and Jiayi Ma, Multi-Memory Convolutional Neural Network for Video Super-Resolution, IEEE Transactions on Image Processing, vol. 28, no.5, pp. 2530 -2544, 2019.
[86] Zhenfeng Shao, Linggang Wang, Zhongyuan Wang*, Wan Du, and Wenjing Wu, Saliency-Aware Convolution Neural Network for Ship Detection in Surveillance Video, IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no.3, pp.781-794, 2020.
[87] Zhongyuan Wang, Zhiqiang Hou, Ruimin Hu, Jing Xiao, A Lossless Recompression Approach for Video Streaming Transmission, IEEE Access, vol. 7, no. 1, pp. 35162-35172, 2019.
[88] Liang Liao, Ruimin Hu, Jing Xiao ,Zhongyuan Wang, Artist-Net: Decorating the Inferred Content with Unified Style for Image Inpainting, IEEE Access, vol. 7, no. 1, pp. 36921-36933, 2019.
[89] Guangcheng Wang, Zhongyuan Wang, Ke Gu, Zhifang Xia, Blind Quality Assessment for 3D-synthesized Images by Measuring Geometric Distortions and Image Complexity, ICASSP 2019, pp. 4040-4044.
[90] Yu Chen, Ruimin Hu, Jing Xiao, Zhongyuan Wang, Multisource Surveillance Video Coding by Exploiting 3D and 2D Knowledge, ICASSP 2019, pp. 1787-1791.
[91] Xu Wang, Ruimin Hu, Zhongyuan Wang, Jing Xiao, Yuhui Zhang, Long Term Background Reference Based Satellite Video Coding, ICASSP 2019, pp. 1822-1826.
[92] Xiaofen Wang, Jun Chen, Zhen Han, Mingfu Xiong, Chao Liang, Qi Zheng, Zhongyuan Wang, Rain Streak Removal via Multi-scale Mixture Exponential Power Model, ICASSP 2019, pp. 1767-1771.
[93] Xingyu Jiang, Junjun Jiang, Aoxiang Fan, Zhongyuan Wang, Jiayi Ma, Multiscale Locality and Rank Preservation for Robust Feature Matching of Remote Sensing Images, IEEE Transactions on Geoscience and Remote Sensing, 57(9): 6462-6472 , 2019.
[94] Kui Jiang, Zhongyuan Wang, Peng Yi, Guangcheng Wang, Tao Lu, Junjun Jiang, Edge-Enhanced GAN for Remote Sensing Image Superresolution, IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 8, pp. 5799-5812, 2019.
[95] K. Jiang, Z. Wang, P. Yi, J. Jiang, G. Wang, Z. Han, T. Lu, GAN-based Multi-Level Mapping Network for Satellite Imagery Super-Resolution, International Conference on Multimedia and Expo (ICME 2019), Shanghai, China, Jul 2019, pp. 526-531. (Oral)
[96] Shanfa Ke, Ruimin Hu, Gang Li, Tingzhao Wu, Xiaochen Wang, Zhongyuan Wang，Multi-Speakers Speech Separation Based on Modified Attractor Points Estimation and GMM Clustering, ICME 2019, pp. 1414-1419.
[97] Mengjun Qi, Zhongyuan Wang, Zheng He, Zhenfeng Shao, User Identification across Asynchronous Mobility Trajectories, Sensors 2019, 19(9), 2102.
[98] Mengjun Qi, Zhongyuan Wang, Zheng He, Tao Lu, Identifying Users by Asynchronous Mobility Trajectories, 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2019 ), Yokohama, Japan, 28 July-2 Aug. 2019, pp. 6811-6814.
[99] Qi Zheng, Jun Chen, Zhongyuan Wang, Junjun Jiang, Deep Segmentation Domain Adaptation Network with Weighted Boundary Constraint, IEEE Access, vol. 7, pp. 93909-93918, 2019.
[100] Tao Lu, Jiaming Wang, Yanduo Zhang, Zhongyuan Wang, Junjun Jiang, Satellite Image Super-resolution via Multi-scale Residual Deep Neural, Remote Sensing, vol. 11, no. 13, pp. 1588, 2019.
[101] Zhenfeng Shao, Lei Wang, Zhongyuan Wang, Juan Deng，Remote Sensing Image Super-resolution using Sparse Representation and Coupled Sparse AutoEncoder, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 12 (8): 2663-2674, 2019.
[102] Yu Chen, Ruimin Hu, Jing Xiao, Zhongyuan Wang, Multisource surveillance video coding with synthetic reference frame, Journal of Visual Communication and Image Representation (JVCI), J. Vis. Commun. Image R. 65 (2019) 102685.
[103] Yu Chen, Ruimin Hu, Jing Xiao, Liang Xu, Zhongyuan Wang, Multisource surveillance video data coding with hierarchical knowledge library, Multim. Tools Appl., 78(11): 14705-14731, 2019.
[104] Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang and Jiayi Ma, Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal Correlations, IEEE International Conference on Computer Vision (ICCV), Seoul, 27 Oct.-2 Nov. 2019, pp. 3106-3115 (Oral).
[105] Wenqian Zhu, Ruimin Hu, Zhongyuan Wang, Dengshi Li, Xiyue Gao, Deep Structural Feature Learning: Vehicle Re-Identification In Structure-Aware Map Space, ACM Multimedia Asia 2019, 38:1-6, 2019.
[106] Guangcheng Wang, Zhongyuan Wang, Ke Gu, Leida Li, Zhifang Xia, Lifang Wu, Blind Quality Metric of DIBR-Synthesized Images in the Discrete Wavelet Transform Domain, IEEE Transactions on Image Processing, 29 (1): 1802-1814, 2020.
[107] Xu Wang, Ruimin Hu, Zhongyuan Wang, Jing Xiao, Shin’ichi Satoh, Long-Term Background Redundancy Reduction for Earth Observatory Video Coding, IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), DOI: 10.1109/TCSVT.2019.2950113, 2019.
[108] Zhongyuan Wang, Kui Jiang, Peng Yi, Zhen Han, Zheng He, Ultra-Dense GAN for Satellite Imagery Super-Resolution, Neurocomputing, vol. 398, pp. 328-337, 2020.
[109] Peng Yi, Zhongyuan Wang, Kui Jiang, Zhenfeng Shao, and Jiayi Ma, Multi-Temporal Ultra Dense Memory Network For Video Super-Resolution, IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 8, pp. 2503-2516, Aug. 2020.
[110] Jiayi Ma, Hao Zhang, Peng Yi, and Zhongyuan Wang*, SCSCN: A Separated Channel-Spatial Convolution Net with Attention for Single-view Reconstruction, IEEE Transactions on Industrial Electronics, 67 (10): 8649-8658, 2020.
[111] Qingnan Li, Ruimin Hu, Jing Xiao, Zhongyuan Wang, Yu Chen, Learning Latent Geometric Consistency for 6D Object Pose Estimation in Heavily Cluttered Scenes, Journal of Visual Communication and Image Representation (JVCI), vol. 70, 2020.
[112] Kui Jiang, Zhongyuan Wang, Peng Yi, Guangcheng Wang, Ke Gu, Junjun Jiang, ATMFN: Adaptive-threshold-based Multi-model Fusion Network for Compressed Face Hallucination, IEEE Transactions on Multimedia (TMM), vol. 22, no. 10, pp. 2734-2747, 2020.
[113] Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Yuhong Yang, Xin Tian, Junjun Jiang, Attention-guided Deraining Network via Stage-wise Learning, ICASSP 2020, pp. 2618-2622.
[114] Yuerong Chen, Mengliang Zhang, Song Li, Zhongyuan Wang, Xin Tian, Cartoon-texture Decomposition-based Variational Pansharpening , ICASSP 2020, pp. 2688-2692.
[115] Mengliang Zhang, Ziping Zhao, Yuerong Chen, Zhongyuan Wang, Xin Tian, FusionNDVI: A Novel Fusion Method for NDVI in Remote Sensing, ICASSP 2020, pp. 4816-4820.
[116] Kuangye Liu, Zhen Han, Junkui Chen, Chunlei Liu, Jun Chen, Zhongyuan Wang, Image Super-resolution Using Residual Global Context Network, ICASSP 2020, pp. 2633-2637.
[117] Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Baojin Huang, Yimin Luo, Jiayi Ma, Junjun Jiang, Multi-Scale Progressive Fusion Network for Single Image Deraining, CVPR 2020, pp. 8343-8352.
[118] Wenqian Zhu, Ruimin Hu, Zhongyuan Wang, Tell the truth from the front: anti-disguise vehicle re-identification, ICME 2020, pp. 1-6. (Oral)
[119] Zhenfeng Shao, Penghao Tang, Zhongyuan Wang, Nayyer Saleem, Sarath, BRRNet: A Fully Convolutional Neural Network for Automatic Building Extraction From High-Resolution Remote Sensing Images, Remote Sensing, 12(6): 1050 (2020).
[120] Zhongyuan Wang, Studying the Origin of COVID-19 from a Systematic Perspective, preprints:202004.0125.v1, April 2020.
[121] Xin Tian, Wei Chen, Fang Zhao, Bo Li, Zhongyuan Wang, Robust CBCT Reconstruction Based on Low-rank Tensor Decomposition and Total Variation Regularization, ICIP 2020.
[122] Kui Jiang, Zhongyuan Wang, Peng Yi, Junjun Jiang, Hierarchical Dense Recursive Network for Image Super-Resolution, Pattern Recognition (PR), vol. 107, 2020.
[123] Xuehua Tang, Qi Hong, Zhongyuan Wang, An Automatic Semantic Map Generation Method Using Trajectory Data, ISPRS Congresses 2020.
[124] Qi Hong, Zhongyuan Wang, Zheng He, Nanxi Wang, Xin Tian, Tao Lu, Masked Face Recognition with Identification Association, 32nd International Conference on Tools with Artificial Intelligence (ICTAI 2020), 2020.
[125] Baojin Huang, Zheng He, Zhongyuan Wang, Kui Jiang, Guangcheng Wang, Lightweight Progressive Residual Clique Network for Image Super-Resolution, 32nd International Conference on Tools with Artificial Intelligence (ICTAI 2020), 2020.
科研課題
國(guó)家自然科學(xué)基金面上項(xiàng)目“基于反向紋理合成的視頻編碼技術(shù)研究”
國(guó)家自然科學(xué)基金面上項(xiàng)目“基于時(shí)域選擇特性和分級(jí)掩蔽的視頻感知編碼研究”
國(guó)家自然科學(xué)基金面上項(xiàng)目“面向視頻衛(wèi)星的多分辨率字典學(xué)習(xí)壓縮視頻超分辨率重建”
國(guó)家自然科學(xué)基金重點(diǎn)項(xiàng)目“面向監(jiān)控?cái)z像機(jī)網(wǎng)絡(luò)的全局可信身份識(shí)別的理論與方法”
國(guó)家自然科學(xué)基金重點(diǎn)項(xiàng)目“三元空間身份計(jì)算理論及人物畫(huà)像與定位技術(shù)”
國(guó)家自然科學(xué)基金面上項(xiàng)目，多通道多尺度時(shí)空融合的監(jiān)控視頻超分辨率重建
湖北省技術(shù)創(chuàng)新重大項(xiàng)目“面向多源大數(shù)據(jù)的身份追溯關(guān)鍵技術(shù)研究”
湖北省自然科學(xué)基金面上項(xiàng)目“面向立體視頻監(jiān)控的深度圖像修復(fù)與編碼”
武漢市應(yīng)用基礎(chǔ)研究計(jì)劃項(xiàng)目“屏幕視頻編碼關(guān)鍵技術(shù)研究及應(yīng)用”
深圳市基礎(chǔ)研究項(xiàng)目“基于判別模版的監(jiān)控視頻事件檢測(cè)關(guān)鍵技術(shù)研究”
中央高校基本科研業(yè)務(wù)費(fèi)專項(xiàng)基金“多源異構(gòu)空間大數(shù)據(jù)融合和信息挖掘”
深圳市基礎(chǔ)研究項(xiàng)目“基于空間運(yùn)動(dòng)行為規(guī)律分析的異常社會(huì)安全行為發(fā)現(xiàn) ”
華為創(chuàng)新研究項(xiàng)目“基于深度的視頻增強(qiáng)”
華為空間信息技術(shù)創(chuàng)新實(shí)驗(yàn)室項(xiàng)目“面向社會(huì)安全的空間運(yùn)動(dòng)行為模式關(guān)鍵技術(shù)及應(yīng)用研究”
437bwin必贏國(guó)際官網(wǎng)中南醫(yī)院轉(zhuǎn)化醫(yī)學(xué)及交叉學(xué)科研究聯(lián)合基金，“基于多模態(tài)醫(yī)療數(shù)據(jù)研究機(jī)械取栓出血轉(zhuǎn)化預(yù)測(cè)模型”
湖北省高價(jià)值知識(shí)產(chǎn)權(quán)培育工程項(xiàng)目“8K超高清視頻智能處理關(guān)鍵技術(shù)”
教育部-中國(guó)移動(dòng)科研基金“基于WebRTC的實(shí)時(shí)視頻通信能力關(guān)鍵技術(shù)研究”
湖北省自然科學(xué)基金創(chuàng)新群體項(xiàng)目“多媒體安防與刑事視頻分析關(guān)鍵技術(shù)及應(yīng)用研究”
湖北省技術(shù)創(chuàng)新重大項(xiàng)目, “新媒體智能播控關(guān)鍵技術(shù)及應(yīng)用研究”
湖北省重點(diǎn)研發(fā)計(jì)劃"深度偽造音視頻鑒別關(guān)鍵技術(shù)研究與應(yīng)用"
新一代寬帶無(wú)線移動(dòng)通信網(wǎng)國(guó)家重大科技專項(xiàng)課題“新型移動(dòng)多媒體音視頻編解碼關(guān)鍵技術(shù)研發(fā)”
新一代寬帶無(wú)線移動(dòng)通信網(wǎng)國(guó)家重大科技專項(xiàng)課題“寬帶移動(dòng)業(yè)務(wù)關(guān)鍵技術(shù)開(kāi)放式研究”子任務(wù)
新一代寬帶無(wú)線移動(dòng)通信網(wǎng)國(guó)家重大科技專項(xiàng)課題“新型移動(dòng)業(yè)務(wù)控制網(wǎng)絡(luò)的架構(gòu)及關(guān)鍵技術(shù)”子任務(wù)
973計(jì)劃子課題“面向智能監(jiān)控的視頻編碼方法”
廣東省現(xiàn)代信息服務(wù)發(fā)展專項(xiàng)資金“面向重點(diǎn)行業(yè)應(yīng)用寬帶無(wú)線多媒體接入系統(tǒng)開(kāi)發(fā)和示范工程”
廣東省教育部產(chǎn)學(xué)研項(xiàng)目“面向新一代移動(dòng)通信設(shè)備的教育數(shù)字資源中心及應(yīng)用”
廣東省產(chǎn)學(xué)研項(xiàng)目“無(wú)線智能車載服務(wù)系統(tǒng)與產(chǎn)品的研發(fā)與產(chǎn)業(yè)化”
國(guó)家重點(diǎn)研發(fā)計(jì)劃子課題“環(huán)境目標(biāo)檢測(cè)、識(shí)別與復(fù)雜交通場(chǎng)景構(gòu)建”
“xxxxxxxxxx海上目標(biāo)處理技術(shù)”
“xxxxxxxx衛(wèi)星視頻處理技術(shù)”
教育部中央高校基本科研業(yè)務(wù)費(fèi)專項(xiàng)資金“基于視覺(jué)詞袋模型的復(fù)雜海面環(huán)境下的艦船目標(biāo)檢測(cè)”
研究團(tuán)隊(duì)
研究生3~5名/年
知識(shí)產(chǎn)權(quán)
基于相似場(chǎng)景的低照度監(jiān)控圖像增強(qiáng)方法，王中元，朱婧雅，侯志強(qiáng). 專利號(hào): ZL 201210544491.7
一種基于最小二乘的多視點(diǎn)視頻編碼視點(diǎn)合成預(yù)測(cè)方法, 胡瑞敏，胡金暉，段漭，龔燕，?王中元, 專利號(hào)：ZL 2012102669459
基于紋理檢測(cè)和顏色分割的視頻圖像運(yùn)動(dòng)目標(biāo)提取方法, 胡瑞敏，侯志強(qiáng)，?王中元，?劉文杰，胡金暉，鐘睿, 專利號(hào)：ZL 2012103514949
一種基于局部特征轉(zhuǎn)換的人臉超分辨率重建方法,胡瑞敏，盧濤，王中元，韓鎮(zhèn)，江俊君，夏洋，陳亮，黃克斌，高尚，王冰.專利號(hào)：ZL 201210575820.4
一種基于主成份稀疏表達(dá)的人臉圖像超分辨率重建方法. 胡瑞敏，盧濤，江俊君，韓鎮(zhèn)，王中元，黃克斌，專利號(hào)：ZL 201210574750.0
一種基于CFA的數(shù)碼相機(jī)型號(hào)識(shí)別方法, 胡瑞敏，高尚，王中元，張茂勝，盧濤, 專利號(hào)：ZL 2012105621856
基于KINECT深度圖的低光照?qǐng)D像增強(qiáng)方法及系統(tǒng),胡瑞敏，胡金暉，王中元，郭春輝，侯志強(qiáng)，譚曉瓊，楊阿慧，石藝.專利號(hào)：ZL 201310325623.1
基于白平衡的數(shù)碼相機(jī)圖像與計(jì)算機(jī)生成圖像區(qū)分方法, 胡瑞敏，高尚，王中元，張茂勝，盧濤, 專利號(hào)：ZL 2012105638931
基于紋理與幾何相似性的彩色圖像空洞修復(fù)方法及系統(tǒng), 胡瑞敏，鐘睿，劉璐，石藝，?王中元, 專利號(hào)：ZL 2013102442740
一種H.264碼率控制方法. 王中元，傅佑銘，侯志強(qiáng)，專利號(hào): ZL 201310480150.2
基于K近鄰重識(shí)別的人臉超分辨率重建方法，胡瑞敏，瞿慎明，江俊君，王中元，陳亮，黃振坤，胡金輝，ZL 201410074705.8
一種實(shí)時(shí)視頻通信中的感興趣區(qū)域提取方法. 王中元，朱婧雅，周治龍.專利號(hào): ZL 201410333331.7
一種質(zhì)量自適應(yīng)的無(wú)線視頻編碼方法, 王中元,朱婧雅,胡孟凌. 專利號(hào):ZL 201410536019.8
一種HEVC編碼四叉樹(shù)的遞推譯碼方法，王中元，邊學(xué)工，專利號(hào): ZL 201510256658.3
一種視頻衛(wèi)星大數(shù)據(jù)的周期性編碼方法，王中元,朱榮,牟海軍,胡瑞敏, 專利號(hào): ZL 201510344665.9
一種與H264標(biāo)準(zhǔn)兼容的屏幕內(nèi)容編碼解碼方法, 王中元,傅佑銘,何政, 專利號(hào): ZL 201510400827.6
一種基于過(guò)完備字典的視頻監(jiān)控圖像壓縮方法，王中元，朱婧雅，專利號(hào): ZL 201510313822.X
一種抗模糊的圖像放大方法，王中元，邵振峰，韓鎮(zhèn)，肖晶，專利號(hào)：ZL 201510669656.7
一種基于計(jì)算機(jī)視覺(jué)的無(wú)人駕駛農(nóng)機(jī)耕道測(cè)量裝置及方法，王中元，馬佳義，江俊君，朱榮，專利號(hào)：ZL 201610741333.9
一種多源數(shù)據(jù)融合的監(jiān)控行人身份識(shí)別方法，王中元,胡瑞敏,懷念,朱榮,陳丹，專利號(hào)：ZL 201510903582.9
一種時(shí)空約束的監(jiān)控視頻行人重識(shí)別結(jié)果的二次優(yōu)化方法，王中元，胡瑞敏，朱榮，陳丹，肖晶，梁超, 專利號(hào)：ZL 201510779639.9
基于自適應(yīng)背景分割的監(jiān)控視頻移動(dòng)目標(biāo)跟蹤方法及系統(tǒng),邵振峰,蔡家駿,王中元,楊珂. 專利號(hào)：ZL 2015109928354
交通大數(shù)據(jù)采集中交通流分布估計(jì)及攝像頭布點(diǎn)優(yōu)化方法，邵振峰，王中元，蔡家駿, 專利號(hào)：ZL 201610806585.5
一種基于H.264和HSV顏色量化的屏幕圖像編碼方法，王中元，張安娜，朱榮，肖晶，專利號(hào)：ZL 201610143356.X
一種基于ImageNet檢索的監(jiān)控視頻行人重識(shí)別方法，王中元，邵振峰，胡瑞敏，梁超，專利號(hào)：ZL 201510729442.4
一種面向可穿戴設(shè)備的視頻直播方法，王中元，朱榮，傅佑銘，何政，專利號(hào)：ZL 201610303886.6
一種基于柯西正則化的人臉超分辨率方法，胡瑞敏，渠慎明，王中元，楊乘，江俊君，?丁新，董小慧，阮威健，專利號(hào)：ZL 201510151907.2
一種聯(lián)合稀疏表示與深度學(xué)習(xí)的圖像超分辨率方法及系統(tǒng)，邵振峰，王磊，王中元，蔡家駿，專利號(hào)：ZL201610216592X
異常行為預(yù)警信息約束的視頻大數(shù)據(jù)快速檢索方法及系統(tǒng)，邵振峰，蔡家駿，王中元，?楊珂，專利號(hào)：ZL201511022366X
徘徊事件時(shí)空大數(shù)據(jù)分析的異常行為預(yù)警方法及系統(tǒng)，邵振峰，蔡家駿，王中元，楊珂，專利號(hào)：ZL2015110279491
一種基于圖像位置塊近鄰嵌入的人臉幻構(gòu)方法，胡瑞敏，渠慎明，王中元，江俊君，張茂勝，廖良，關(guān)健，劉波，專利號(hào)：ZL 201510151884.5
基于全局顯著邊緣區(qū)域的人體動(dòng)作特征提取方法，胡瑞敏，徐增敏，陳軍，陳華鋒，李紅陽(yáng)，王中元，鄭淇，吳華，王曉，周立國(guó)，專利號(hào)：ZL 201610075788.1
一種內(nèi)容復(fù)雜性自適應(yīng)的視頻衛(wèi)星壓縮圖像超分辨率方法,王中元，韓鎮(zhèn)，杜博，邵振峰，專利號(hào)：ZL 201710166661.5
一種面向屏幕視頻編碼的屏幕滾動(dòng)檢測(cè)方法，王中元，何政，傅佑銘，朱榮，專利號(hào)：ZL 201710318616.7
一種基于屏幕變化檢測(cè)的屏幕視頻編碼方法，王中元，何政，常軍，傅佑銘，專利號(hào)：ZL 201710852444.1
空間信息輔助的無(wú)人機(jī)視頻大數(shù)據(jù)多時(shí)相關(guān)聯(lián)分析方法，王中元，肖晶，陳丹，傅佑銘，專利號(hào)：ZL 201710166290.0
基于內(nèi)容感知深度學(xué)習(xí)網(wǎng)絡(luò)的遙感圖像超分辨率重建，王中元，韓鎮(zhèn)，杜博，邵振峰，專利號(hào)：ZL 201710301990.6
一種超分辨率圖像重建方法及系統(tǒng)，邵振峰，肖傲然，王中元，專利號(hào)： ZL2017104884908
一種基于位置先驗(yàn)信息的時(shí)空域顯著度檢測(cè)方法，胡瑞敏，胡柳依，王中元，肖晶，王琦，邵孟靈，專利號(hào)：ZL201611078480.9
一種基于移動(dòng)軌跡信息的用戶行為模式畫(huà)像的方法，王中元，祁夢(mèng)軍，何政，邵振峰，專利號(hào)：ZL201811031973.6
多社交網(wǎng)絡(luò)用戶關(guān)聯(lián)系統(tǒng)軟件，著作權(quán)人：437bwin必贏國(guó)際官網(wǎng)，證書(shū)號(hào)：4326497，登記號(hào)：2019SR0905740
監(jiān)控場(chǎng)景下行人檢索系統(tǒng)，著作權(quán)人：437bwin必贏國(guó)際官網(wǎng)，證書(shū)號(hào)：4326467，登記號(hào)：2019SR0905710
監(jiān)控視頻軌跡和手機(jī)軌跡時(shí)空關(guān)聯(lián)系統(tǒng)，著作權(quán)人：437bwin必贏國(guó)際官網(wǎng)，證書(shū)號(hào)：4328634，登記號(hào)：2019SR0907877
自動(dòng)口罩佩戴系統(tǒng)，著作權(quán)人：437bwin必贏國(guó)際官網(wǎng)，證書(shū)號(hào)：5597386，登記號(hào)：2020SR0718690
學(xué)術(shù)服務(wù)
跨域多維電子圍網(wǎng)關(guān)鍵技術(shù)及應(yīng)用，2019年廣東省科技進(jìn)步一等獎(jiǎng)
高能效無(wú)線多媒體網(wǎng)絡(luò)設(shè)計(jì)與優(yōu)化研究，2016年湖北省自然科學(xué)二等獎(jiǎng)
城市安防視頻監(jiān)控報(bào)警多級(jí)聯(lián)網(wǎng)系統(tǒng)平臺(tái)及關(guān)鍵技術(shù)研究，2011年廣東省科技進(jìn)步二等獎(jiǎng)
車載多媒體通信系統(tǒng)，2009年教育部科技進(jìn)步獎(jiǎng)二等獎(jiǎng)
Green2000數(shù)碼彩擴(kuò)機(jī)及數(shù)字圖像光引擎，2010年度中國(guó)電子學(xué)會(huì)電子信息科學(xué)技術(shù)二等獎(jiǎng)
基于轉(zhuǎn)碼的視頻分發(fā)服務(wù)平臺(tái)關(guān)鍵技術(shù)研究及示范，2010年公安部科技進(jìn)步三等獎(jiǎng)
IEEE AIM 2019 Challenge on Video Extreme Super-Resolution, 亞軍.
英特爾杯”第一屆中國(guó)研究生人工智能創(chuàng)新大賽全國(guó)總決賽三等獎(jiǎng)，2019年
中國(guó)人工智能產(chǎn)業(yè)發(fā)展聯(lián)盟“曠視人工智能開(kāi)源大賽”，第三名， 2020年
城市監(jiān)控報(bào)警聯(lián)網(wǎng)系統(tǒng) 技術(shù)標(biāo)準(zhǔn) 第4部分：視音頻編、解碼技術(shù)要求
城市監(jiān)控報(bào)警聯(lián)網(wǎng)系統(tǒng) 技術(shù)標(biāo)準(zhǔn) 第5部分： 信息傳輸、交換、控制技術(shù)要求
城市監(jiān)控報(bào)警聯(lián)網(wǎng)系統(tǒng) 技術(shù)標(biāo)準(zhǔn) 第8部分：傳輸網(wǎng)絡(luò)技術(shù)要求
Real-World Masked Face Dataset，口罩人臉數(shù)據(jù)集:
https://github.com/X-zhangyang/Real-World-Masked-Face-Dataset
成果展示
Real-World Masked Face Dataset，口罩人臉數(shù)據(jù)集
https://github.com/X-zhangyang/Real-World-Masked-Face-Dataset
A Progressive Fusion Generative Adversarial Network for Realistic and Consistent Video Super-Resolution （TPAMI 2020）
https://github.com/psychopa4/MSHPFNL
Multi-Memory Convolutional Neural Network for Video Super-Resolution（TIP 2019）
https://github.com/psychopa4/MMCNN
ATMFN: Adaptive-Threshold-Based Multi-Model Fusion Network for Compressed Face Hallucination （TMM 2020）
https://github.com/kuihua/ATMFN
Edge-enhanced GAN for remote sensing image superresolution,TGRS, 2019
https://github.com/kuihua/EEGAN
Blind Quality Metric of DIBR-Synthesized Images in the Discrete Wavelet Transform Domain（TIP 2020）
https://github.com/wgc-vsfm/DIBR-Image-Quality-Assessment
其他
