jia-qi

Qi Jia

 
PERSONAL INFORMATION

Associate Professor, master tutor

University: Dalian University of Technology
Degree: Doctor
On-the-job information:
Unit: National Demonstration Software Institute
Subject: Software Engineering Computational Mathematics
Email : jiaqi@dlut.edu.cn

Personal Profile

Qi Jia was born in 1983. Now, she is an associate professor and master tutor of the School of International Information and Software, Dalian University of Technology. She received the bachelor’s degree, master’s degree and doctor’s degree in engineering from the Computer Science Department of Dalian University of Technology in 2005, 2008 and 2014 respectively. From January 2008 to December 2009, she was a teaching assistant at Software School of Dalian University of Technology. From January 2010 to December 2017, she was a lecturer. During this period, she was a visiting scholar in Temple University from September 2017 to September 2018. From January 2018, she is an associate professor in the School of International Information and Software. Her research area is machine vision and image processing. She presided two projects of the National Natural Science Foundation of China, one project of Natural Science Foundation of Liaoning Province. She has published more than 30 papers in the Nature journals, including top journals and conferences: IEEE TIP, ECCV, Pattern Recognitions, etc. As the PI, 7 national invention patents have been authorized.

Projects

    Host Projects
  • The National Natural Science Foundation of the project “Hierarchal Shape Analysis method based on Geometry Structure Learning” (61876030, 2019-2012) has a direct funding of 660,000 yuan.
  • Natural Science Foundation of China Youth Project “Research on Complicate Shapes and Abstract Features Based on 3D/2D Constraints” (61402077,2015-2017) 260,000 yuan.

  • Science Foundation of Liaoning Province the project “Sketch Retrieval based on semantic understanding” (20170540173,2017-2019) 50,000 yuan.

  • Involved Projects
  • National Natural Science Foundation of key projects (“Indoor Scene Understanding and Real-Time Modeling based on vision and Semantic” 61632006) 3 million yuan.

  • National Natural Science Foundation of the project (“Research on 3D Invariant Descriptor and its high efficient computation”) 630,000 yuan.

Academic Part-time

  • ACM Member, Member of China Computer Society.

  • Reviewers of international journal and conference: Pattern Recognition, International Conference on Image Processing (ICIP), IEEE Transactions on Image Processing, Inst Engineering Technology (IET) Image Processing, Acta Electronica Sinica.

Patents

  • Jia Qi, Fan Xin, Song Lianbo, Qiu Tie, Luo Zhongqi, Wang Qian. An ellipse rapid detection method based on geometric constraint, application number: 201610319333X.

  • Jia Qi, Gao Xinkai, Fan Xin, Luo Zhongyu, Guo Wei. A line matching method based on projective invariant, application number:201610056000.2. (authorized)

  • Jia Qi; Fan Xin; Luo Zhongyu; Liu Yu; Xu Xiujuan; Hu Yankang; Liu Bin. A shape matching method based on projective invariant, Application No. 201410143546, 2014. (authorized)

  • Wang Yi, Fan Xin, Li Haojie, Luo Zhongyu, Liu Bin, Jia Qi, Wang Zhihui. A gesture-based Chinese character interactive input and recognition method. Application No. 201310012582.0 (authorized).

  • Jia Qi, Fan Xin, Luo Zhongyu, Tian Xiaoyu, Liu Yu. A symbol recognition method based on affine invariant. Application No. 201310071948.1 (authorized).

  • Jia Qi, Guo Yi, Fan Xin, Li Fengqi, Wang Hao, Liu Yu. A shape matching method based on metric information. Application No. 201310011263.8 (authorized).

  • Luo Zhongyi, Fan Xin, Jia Qi, Luo Daixi, Zhou Yichen. A method based on geometric shape feature descriptors. Application No. 201310131631.2 (authorized).

Article List(in Recent 5 Years)

  • [1] Qi Jia, Xin Fan, Xinkai Gao, Meiyu Yu, Haojie Li, Zhongxuan Luo. Line matching based on line-points invariant and local homography. Pattern Recogonition, 2018, 81: 471-483. (Code:https://github.com/dlut-dimt/LineMatching).
    [2] Qi jia, Xin Fan*, Zhongxuan Luo, Lianbo Song, and Tie Qiu. A fast ellipse detector using projective invariant pruning. IEEE Trans on Image Process, 2017, 26(8):3665-3679.
    [3] Xinkai Gao, Qi Jia*, Haojie Li, He Guo. Efficiently Building 3D Line Model with Points. Image Processing (ICIP), 2016 IEEE International Conference. IEEE, 2017: 3605-3609.
    [4] 贾棋, 于美玉, 樊鑫*, 高新凯, 郭禾. 基于曲率分级的形状编码及识别方法. 计算机学报,2017:1-14. EI(刚发表还未检索)
    [5] Qi Jia, Xin Fan*, Yu Liu, Haojie Li, Zhongxuan Luo, and He Guo. Hierarchical projective invariant contexts for shape recognition. Pattern Recognition, 2016, 52: 358-374.
    [6] Xin Fan*, Qi Jia, Kang Huyan, Xianfeng Gu, and Zhongxuan Luo. 3D facial landmark localization using texture regression via conformal mapping. Pattern Recognition Letters, 2016, 83: 395-402.
    [7] Bao Yu, Li Haojie, Fan Xin, Risheng Liu, Qi Jia. Region-based CNN for Logo Detection. International Conference on Internet Multimedia Computing and Service. ACM, 2016:319-322.
    [8] Qi Jia, Xinkai Gao, Xin Fan*, Zhongxuan Luo, Haojie Li, and Ziyao Chen. Novel Coplanar Line-Points Invariants for Robust Line Matching Across Views. European Conference on Computer Vision. Springer [9] Weiguang Yang, Qi Jia, Hui Liu, Yihao Wu, and He Guo. An improved GPGPU-Accelerated parallelization for rotation invariant thinning algorithm. Image Processing (ICIP), 2016 IEEE International Conference. IEEE, 2016: 1784-1788.
    [10] Qi Jia, Xin Fan*, Zhongxuan Luo, Haojie Li, Kang Huyan, and Zezhou Li. Cross view Action Matching Using a Novel Projective Invariant on Non-coplanar Space-time points. Multimedia Tools and Application, 2015, 75(19):11661-11682.
    [11] Qi Jia, Xinkai Gao, He Guo*, Zhongxuan Luo and Yi Wang. Multi-Layer Sparse Representation for Weighted LBP-Patches Based Facial Expression Recognition. Sensors, 2015, 15(3): 6719-6739.
    [12] Yi Wang, Juncheng Liu, Xin Fan*, Xiangjian He, Qi Jia, and Renjie Gao. Online Gesture-based Interaction with Visual Oriental Characters based on Manifold Learning. Signal Processing. 2015,110:123-131.
    [13] 贾棋, 刘宇, 樊鑫(通讯作者), 郭禾, 高新凯. 基于交比上下文的层次化形状特征提取及匹配算法. 计算机辅助设计与图形学学报, 2015, 12:2247-2255.
    [14] 贾棋, 高新凯, 罗钟铉, 樊鑫(通讯作者), 郭禾. 基于几何关系约束的特征点匹配算法. 计算机辅助设计与图形学学报, 2015, 08:1388-1397.
    [15] Qi jia, Xin Fan*, Zhongxuan Luo, Yu Liu, and He Guo. A new geometric descriptor for symbols with affine deformations. Pattern Recognition Letters. 2014, 40(15): 128-135.
    [16] Zhen Feng, He Guo, Yuxin Wang, and Qi jia. Modified l1-SPIRiT with SVD-based joint-sparsity model. Journal of Computational Information Systems. 2014, 10(5): 2009-2016.
    [17] Xin Fan, Zhongxuan Luo*, Jielin Zhang, Xinchen Zhou, Qi jia, and Daiyun Luo. Characteristic Number: Theory and Its Application to Shape Analysis. Axioms. 2014, 3(2): 202-221.
    [18] 贾棋, 刘宇, 郭禾, 樊鑫(通讯作者), 王宇新. 以度量分段约束为特征的形状匹配算法. 计算机辅助设计与图形学学报, 2014,01:65-71.
    [19] 冯振, 郭禾, 王宇新(通讯作者), 贾棋, 侯广峰. CS-MRI中稀疏信号支撑集混合检测方法. 计算机工程, 2014,05:164-167.
    [20] Yu Liu, Qi Jia, He Guo, Xin Fan*. A shape matching framework using metric partition constraint. IEEE International Conference on Image Processing (ICIP), Melbourne, Australia, 2013:3494-3498.
    [21] Zhongxuan Luo, Daiyun Luo, Xin Fan*, Xinchen Zhou, and Qi Jia. A Shape Descriptor Based on New Projective Invariants. International Conference on Image Processing Melbourne, Australia, 2013:2862-2866 (ICIP, Oral, top 4.5% of 2000+ submissions)
    [22] Yu Liu, He Guo, Yulong Yu, Qi jia, and Yiting Hou. Parallel acceleration of histogram specification based on group mapping law. Image and Signal Processing (CISP), 2013 6th International Congress on. IEEE, 2013, 1: 315-319.
    [23] Zhen Feng, Feng Liu, He Guo*, Zhikui Chen, Mingfeng Jiang, Mingjian Hong, and Qi jia. Distributed Compressed Sensing MRI Using Volume Array Coil. International Journal of Distributed Sensor Networks. 2013 (2) :178-179.
    [24] He Guo*, Yuxin Wang, Zhen Feng, Yulong Yu, Qi jia, Yuanyuan Wang, Yao Liu, Lijie Zhang, and Yiting Hou. GPGPU-accelerated parallelization practice and analysis for image segmentation methods. Information Technology Journal. 2013, 12(20): 5440-5446.
    [25] 贾棋, 田晓宇, 樊鑫*, 罗钟铉, 郭禾. 基于特征比的平面目标识别[J]. 计算机研究与发展,2013,09:1883-1892.