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Kun Sun is now working at School of Computer Science, China University of Geosciences (CUG), Wuhan, China. Before joining CUG, he received his PhD in June, 2017 from Institute of Image Recognition & Artificial Intelligence (IPRAI), School of Artificial Intelligence and Automation, Huazhong University of Science & Technology (HUST), Wuhan, China, under the supervision of Prof. Wenbing Tao. He has published several articles on CVPR, ACPR, PRCV, IEEE TIP, IEEE TMM, Information Sciences, IEEE GRSL, IEEE SPL and so on. His research focuses on machine learning and computer vision algorithms, such as multi-view image matching, large scale Structure from Motion (SfM), 3D point cloud processing and medical image understanding.

This is a personal homepage. You can also refer to an official version on the university website (might not be up-to-date).

Prospective students I'm looking for motivated MSc students. If you are interested in my research and have background in computer science, mathmatics, or electronic information, please send Email to me directly.

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Publications Google Scholar» DBLP» Semantic Scholar»

• CVPR'22 Zhi Chen, Kun Sun, Fan Yang, Wenbing Tao. SC2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration. The Thirty-Third IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2022), June 19-24, 2022, New Orleans, LA, USA. (Accepted!)
• ACPR'21 JinHong Yu, Kun Sun*. A Multi-feature Embedding Method for Robust Image Matching. The 6th Asian Conference on Pattern Recognition (ACPR2021), Jeju Island, South Korea. (Accepted!)
• PRCV'21 TianWei Zhang, Kun Sun*. Deep Semantic Edge for Cell Counting and Localization in Time-Lapse Microscopy Images. The fourth Chinese Conference on Pattern Recognition and Computer Vision, PRCV (3) 2021: 337-349, Beijing, China. 
• IEEE TMM'20 Kun Sun, Wenbing Tao, Yuhua Qian. Guide to Match: Multi-Layer Feature Matching With a Hybrid Gaussian Mixture Model. IEEE Transactions on Multimedia. 22(9): 2246-2261 (2020).
• AAAI'20 Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Kun Sun, Pichao Wang, Lizhe Wang, Albert Y. Zomaya. R²MRF: Defocus Blur Detection via Recurrently Refining Multi-Scale Residual Features. Proceedings of the AAAI Conference on Artificial Intelligence, 2020: 34(07), 12063-12070.
• Inf. Sci.'19 Kun Sun, Wenbing Tao. A center-driven image set partition algorithm for efficient structure from motion. Information Sciences. 479: 101-115 (2019).
• IEEE SPL'18 Kun Sun, Wenbing Tao. A Constrained Radial Agglomerative Clustering Algorithm for Efficient Structure From Motion. IEEE Signal Processing Letters. 25(7): 1089-1093 (2018).
• ICGIP'18 Zijian Liu, Kun Sun, Wenbing Tao, Liman Liu. An interactive display system for large-scale 3D models. Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106153A (10 April 2018).
• IEEE GRSL'17 Kun Sun, Liman Liu, Wenbing Tao. Image Matching via Feature Fusion and Coherent Constraint. IEEE Geoscience and Remote Sensing Letters. 14(3): 289-293 (2017).
• ACPR'17 Wenjie Huang, Kun Sun, Wenbing Tao. Multi-view Stereo Combined with Space Propagation and Pixel-Level Refinement. 4th Asian Conference on Pattern Recognition (ACPR), Nanjing, China. 2017: 208-213.
• ACCV'17 Qingshan Xu, Kun Sun, Wenbing Tao, Liman Liu. Massively Parallel Image Index for Vocabulary Tree Based Image Retrieval. Second CCF Chinese Conference on Computer Vision, Tianjin, China. CCCV(2) 2017: 99-110.
• ACCV'17 Tao Xu, Kun Sun, Wenbing Tao. GPU Accelerated Image Matching with Cascade Hashing. Second CCF Chinese Conference on Computer Vision, Tianjin, China. CCCV(1) 2017: 91-101.
• MIPPR'17 Kai Wei, Kun Sun, Wenbing Tao. Geometry and coherence based feature matching for structure from motion. Proc. SPIE 10609, MIPPR 2017: Pattern Recognition and Computer Vision, 1060917 (8 March 2018).
• Inf. Sci.'16 Kun Sun, Liman Liu, Wenbing Tao. Progressive match expansion via coherent subspace constraint. Information Sciences. 367-368: 848-861 (2016).
• PR'16 Zhiguo Zhang, Wenbing Tao, Kun Sun, Wenbin Hu, Li Yao. Pedestrian detection aided by fusion of binocular information. Pattern Recognition. 60: 227-238 (2016).
• Inf. Sci.'15 Kun Sun, Peiran Li, Wenbing Tao, Yuanyan Tang. Feature Guided Biased Gaussian Mixture Model for image matching. Information Sciences. 295: 323-336 (2015).
• IEEE TIP'15 Wenbing Tao, Kunqian Li, Kun Sun. SaCoseg: Object Cosegmentation by Shape Conformability. IEEE Transactions on Image Processing. 24(3): 943-955 (2015).
• IEEE TIP'15 Wenbing Tao, Kun Sun. Robust Point Sets Matching by Fusing Feature and Spatial Information Using Nonuniform Gaussian Mixture Models. IEEE Transactions on Image Processing. 24(11): 3754-3767 (2015).
• EMMCVPR'15 Kun Sun, Peiran Li, Wenbing Tao, Liman Liu. Point Sets Matching by Feature-Aware Mixture Point Matching Algorithm. 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, Hong Kong, China. EMMCVPR 2015: 392-405.
• Inf. Sci.'14 Wenbing Tao, Yicong Zhou, Liman Liu, Kunqian Li, Kun Sun, Zhiguo Zhang. Spatial adjacent bag of features with multiple superpixels for object segmentation and classification. Information Sciences. 281: 373-385 (2014).
• CVPR'14 Wenbing Tao, Kun Sun. Asymmetrical Gauss Mixture Models for Point Sets Matching. IEEE Conference on Computer Vision and Pattern Recognition, Columbus, OH, USA. CVPR 2014: 1598-1605.

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Services

• I am a member of the CSIG Technical Committee on 3D Vision (CSIG-3DV) and the CSIG Technical Committee on Big Visual Data (TCBVD).
• I served as a reviewer for conferences such as ICME 2022, PRCV 2021, IJCAI 2021 Workshop and several journals including IEEE Transactions on Circuits and Systems I, IEEE Transactions on Circuits and Systems I, IEEE Transactions on Geoscience and Remote Sensing, Information Sciences, Neurocomputing, ISPRS Journal of Photogrammetry and Remote Sensing, IEEE Signal Processing Letters and Digital Signal Processing.

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Courses

• Computer Vision For Third-year undergraduate students in computer science and artificial intelligence. (Spring 2018-2022)
• Data Visualization For Third-year undergraduate students in computer science. (Spring 2019-2021)
• Data Structure For Second-year undergraduate students in computer science. (Fall 2020)
• Advanced Computer Programming Language (C++) For First-year undergraduate students in computer science. (Fall 2017, 2019)