研究方向
智能媒体计算、高维媒体数据复原、张量稀疏表达、三维重建、深度学习、虚拟现实
个人简介
银河集团9873.cσm软件工程系,副教授,硕士生导师,博士毕业于北京工业大学多媒体与智能软件北京市重点实验室,计算机科学与技术专业。主持国家自然科学基金青年项目、中国博士后基金面上项目,北京市教委科技一般项目及北京市博士后基金等科研项目;参与多项国家自然科学基金重点/面上项目,北京市自然科学基金面上/青年项目及北京市教委重点项目。在国际期刊和会议上发表SCI/EI论文30余篇(包括IEEE TPAMI, TCSVT, CVPR, SPIC, ICME, ICASSP,ICIP, VCIP, PCM,MMM,MMAsia,PCS等),申请国家发明专利20余项,已授权10项。
工作履历
2017.06-2019.09 北京工业大学 银河集团9873.cσm 师资博士后
2018.07-2021.07 北京工业大学 银河集团9873.cσm 讲师
2021.07-至今 北京工业大学 银河集团9873.cσm 副教授
学术兼职
IEEE会员,ACM会员,中国计算机学会专业会员
担任IEEE ICME,ICIP,VCIP等国际会议和TIP, TCSVT,IEEE Access国际期刊审稿。
课程教学
本科生教学:虚拟现实技术,32学时,虚拟现实技术课设60学时,大三本科生春季学期。
研究生教学:虚拟现实技术与应用,32学时。
科研项目
1.国家自然科学基金青年项目,基于张量的结构化稀疏表示理论及多维信号复原方法研究,主持
2.北京市教委科技项目,多维信号的结构化稀疏表示模型及其复原方法研究,主持
3.中国博士后基金面上项目,张量稀疏表示模型及其在多维信号复原中的应用,主持
4.北京市博士后工作经费资助项目,多维信号张量稀疏表示理论与优化重建方法研究,主持
5.朝阳区博士后科研经费资助项目,基于张量稀疏表示的高光谱图像超分辨率重建方法研究,主持
6.国家自然科学基金面上项目,规格化的球面图像表示与分析,参与
7.北京市自然科学基金面上项目,面向混合现实的三维重建技术研究,参与
8.北京市教委项目科技项目重点项目,基于知识图谱的慢阻肺电子病历语义分析关键技术与应用研究,参与
9.北京市自然科学基金青年项目,基于社区优化深度表示的半监督属性网络划分方法,参与
10.企事业委托项目,虚拟现实技术的电网A类违章生产作业培训与考核系统的研究,参与
荣誉和获奖
2022年北京市普通高校优秀本科毕业设计(论文)优秀指导老师
2021年北京市普通高校优秀本科毕业设计(论文)优秀指导老师
2019年北京市普通高校优秀本科毕业设计(论文)优秀指导老师
2022年第十届全国大学生数字媒体科技作品及创意竞赛全国总决赛优秀指导老师
2021年第九届全国大学生数字媒体科技作品及创意竞赛全国总决赛优秀指导老师
2021年北京工业大学优秀共产党员
2021年北京工业大学立德树人优秀班主任
2020年北京工业大学立德树人优秀班主任
2019年北京工业大学立德树人优秀班主任
2022年协助指导博士生获得2022全国信创与人工智能发展博士后学术论坛特等奖
2022年指导本科生获得第十届全国大学生数字媒体科技作品及创意竞赛全国总决赛一等奖1项,二等奖2项,三等奖2项
2021年指导本科生获得第九届全国大学生数字媒体科技作品及创意竞赛全国总决赛一等奖1项,二等奖1项,三等奖1项
2020年指导本科生获得第八届全国大学生数字媒体科技作品及创意竞赛全国总决赛二等奖2项,三等奖2项
2022年指导本科生获2022年(第15届)中国大学生计算机设计大赛二等奖;获2022年(第15届)中国大学生计算机设计大赛北京市级“朔日杯”赛二等奖
2022年指导本科生获第八届中国国际“互联网+”大学生创新创业大赛北京赛区复赛高教主赛道三等奖
2022年指导学生参加首届北京大学生创新创业大赛获文化创意赛道“百强创业团队”
2022年指导学生参加iCAN全国大学生创新创业大赛北京赛区选拔赛获三等奖
代表性研究成果
[1]Na Qi*,Yunhui Shi, Xiaoyan Sun, Jingdong Wang,Baocai Yin and Junbin Gao,“Multi-Dimensional Sparse Models”,IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 40(1),2018:163-178, (SCI, 中科院1区)
[2] Wei Xu; Qing Zhu; Na Qi*, Dongpan Chen, Deep Sparse Representation Based Image Restoration with Denoising Prior, IEEE, TCSVT,2022. (SCI,中科院1区)
[3] Wei Xu; Qing Zhu; Na Qi*, Depth Map Super-Resolution via Joint Local Gradient and Nonlocal Structural Regularizations, IEEE, TCSVT,2022. (SCI,中科院1区)
[4] Yun Liu, Na Qi*, Qing Zhu, Tensor-based plenoptic image denoising by integrating super-resolution, Signal Processing: Image Communication (SCI, JCR 2 区)
[5] Na Qi, Yunhui Shi, Xiaoyan Sun, and Baocai Yin, “TenSR: Multi-Dimensional Tensor Sparse Representation”, in CVPR 2016, pp. 1-10. June 26-July 1, 2016. (EI,CCF-A类)
主要论文论著
[1] Kun Li, Na Qi, Qing Zhu, “Fluid Simulation with an L0 Based Optical Flow Deformation”,Appl. Sci. 2020, 10(18), 6351; (SCI, JCR 2区)
[2] Shangdian Du,Na Qi, Qing Zhu, Xu Wei, Shuang Jin, CFSR: Coarse-to-Fine High-Speed Motion Scene Reconstruction with Region-Adaptive-Based Spike Distinction, Appl. Sci. Appl. Sci. 2023, 13, 2424; (SCI, JCR 2区)
[3]Min Zhang, Yunhui Shi, Na Qi, Baocai Yin, “Stable Sparse Model with Non-Tight Frame”,Appl. Sci. 2020, 10(5), 1771; (SCI, JCR 2区)
[4] Min Zhang, Yunhui Shi, Na Qi, Baocai Yin, “Data-Driven Redundant Transform Based on Parseval Frames”, Appl. Sci. 2020, 10(8), 2891; (SCI, JCR 2区)
[5] Yunhui Shi, Bo Wen, Wenpeng Ding, Na Qi, Baocai Yin. “Prediction-based Realistic 3D Model Compression”, Multimedia Tools and Application.70(3):2125-2137(2014) (SCI JCR 2区)
[6] Zhuhong Shao, Xilin Liu, Qijun Yao, Na Qi, Yuanyuan Shang, Jingjing Zhang, “Multiple-image encryption based on chaotic phase mask and equal modulus decomposition in quaternion gyrator domain”, Signal Processing : Image Communication , 2020, 80(2) (SCI JCR 2区)
[7] Na Qi, Yunhui Shi, Xiaoyan Sun, Wenpeng Ding, Baocai Yin, “Single image super-resolution via 2D sparse representation”, in ICME 2015, pp.1‐6, June 29- July 3, 2015. ( Oral, EI, CCF B类)
[8] Na Qi, Yunhui Shi, Xiaoyan Sun, Jingdong Wang, and Baocai Yin, “Two dimensional synthesis sparse model,” in ICME 2013, pp.1‐6, 15‐19 July 2013. (EI, CCF B类)
[9] Na Qi, Yunhui Shi, Xiaoyan Sun, Jingdong Wang, and Wenpeng Ding, “Two dimensional analysis sparse model,” in ICIP 2013, pp.310‐314, 15‐18 Sept.2013.( EI,CCF C类)
[10] Na Qi, Yunhui Shi, Xiaoyan Sun, Wenpeng Ding, Baocai Yin, “2D Nonlocal sparse representation for image denoising”, in VCIP 2015, pp. 1-6, Dec 13-16, 2015.(Oral, EI,CORE B类)
[11] Na Qi, Yunhui Shi, Xiaoyan Sun, Wenpeng Ding, Baocai Yin, “Image super-resolution via 2D nonlocal sparse presentation”, in VCIP 2015, pp. 1-6, Dec 13-16, 2015.(Oral, EI,CORE B类)
[12] Cheng Peng, Na Qi, Qing Zhu, “Transfer Non-stationary Texture with Complex Appearance”, in ACM MM Asia, 2020, Singapore. (EI,CCF C类)
[13] Mengyun Liu, Na Qi, Yunhui Shi, Baocai Yin, “An Attention Fusion Network for Event-Based Vehicle Object Detection”, ICIP 2021, Alaska, USA. (EI,CCF C类)
[14] Chen Wang, Na Qi, Qing Zhu, “Tensor-Based Light Field Denoising By Exploiting Non-Local Similarities Across Multiple Resolutions”. in ICIP 2020, 25-28 Oct. 2020, Abu Dhabi, (EI,CCF C类)
[15] Yun Liu, Na Qi, Zhen Cheng, Dong Liu, Zhiwei Xiong, “Hyperspectral light field image denoising”, OIT 2017, pp.1 -12,2017 (EI)
[16] Yun Liu, Na Qi, Zhen Cheng, Dong Liu, Qing Ling, Zhiwei Xiong, “Tensor-based light field Denoising by Integrating Super-resolution”, ICIP 2018, pp.1-5. 2018 (EI, CCF-C类)
[17] Yiwei Liu, Na Qi, Qing Zhu, Weiran Li, “CR-U-Net: Cascaded U-Net with Residual Mapping for Liver Segmentation in CT Images”, VCIP 2019, 2019.12.01-12.04, Sydney, Australia. (EI, CORE B类)
[18] Kun Li, Na Qi, Qing Zhu, “Fluid Simulation with a Dense Space-time Deformation via L0 Gradient Minimization”, FC 2020, September 7-9,2020, Singapore (EI)
[19] Yunhui Shi, Na Qi, Baocai Yin, Wenpeng Ding, “Two Dimensional K-SVD for the Analysis Sparse Dictionary”, in Proc. of Pacific-Rim Conference on Multimedia (PCM), p861-871, 2012. (EI, CCF C类)
[20]Yunhui Shi, Bo Wen, Wenpeng Ding, Na Qi, Baocai Yin: “Realistic mesh compression based on geometry image”. In Proc. of Picture Coding Symposium, (PCS), p133-136, 2012. (EI, CCF-C类)
[21] Min Zhang, Yunhui Shi, Xiaoyan Sun, Nam Ling, Na Qi, “Learning Redundant Sparsifying Transform based on Equi-Angular Frame”, VCIP 2020, 2020.12.01-12.04,pp1-4, Macau.(EI, CORE-B类)
[22] Peilin Tang, ZhiqiangWang, Na Qi, Qing Zhu,“A Fast Feature Extraction Process for visual SLAM”, ITNEC 2019.(EI)
[23]Yanning Meng, Na Qi, Qing Zhu, “Motion-Variational Recurrent Neural Network for Character Garment Simulation”,ICSP 2021 (EI)
[24] Shuang Jin, Na Qi, Qing Zhu, Haoran Ouyang: “Progressive GAN-Based Transfer Network for Low-Light Image Enhancement”. MMM (2) 2022: 292-304 (EI, CCF C类)
[25] Jingzhong Qi, Na Qi, Qing Zhu: “SUnet++: Joint Demosaicing and Denoising of Extreme Low-Light Raw Image”. MMM (2) 2022: 171-181 (EI, CCF C类)
[26] Xiaochen Wang, Qing Zhu, Na Qi, “ISTA-Net Model-driven Deep Unfolding Network for Hyperspectral and Multispectral Image Funsion”, IEEE ITAIC 2022. (EI)
[27] Longlu Huang, Na Qi, Qing Zhu, “Multispectral Image Denoising via Structural Tensor Sparsity Promoting Model”. MMAsia 2022: 19:1-19:7 ( EI CCF C 类)
[28] Wei Xu , Na Qi, Qing Zhu, Jingzhong Qi, Longlu Huang, Kun Cao, Yuxin Bao, Qianwen Wang,“Color Guided Depth Map Super-Resolution With Nonlocal Autoregressive Modeling”, IEEE ICASSP 2023, Accept ( EI, CCF B 类)
[29] Kun Cao, Na Qi, Wei Xu, Qing Zhu, Shibo Xu, Changxin Pan, “G2CNN: Geometric Prior Based GCNN For Single-View 3D Reconstruction With Loop Subdivision”, IEEE ICASSP 2023, Accept ( EI, CCF B 类)