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Kun Qian 0009
Person information
- affiliation: King's College London, London, UK
- affiliation (former): Bournemouth University, Dorset, UK
Other persons with the same name
- Kun Qian — disambiguation page
- Kun Qian 0001 — Otto von Guericke University Magdeburg, Germany
- Kun Qian 0002 — IBM Almaden Research Center, USA (and 1 more)
- Kun Qian 0003 — Japan Society for the Promotion of Science, Tokyo, Japan (and 2 more)
- Kun Qian 0004 — University of Virginia, Department of Computer Science, Charlottesville, VA, USA (and 2 more)
- Kun Qian 0005 — Southeast University, Nanjing, China
- Kun Qian 0006 — Shandong University, School of Mathematics, Jinan, China
- Kun Qian 0007 — Beihang University, School of Computer Science and Engineering, State Key Laboratory of Software Development Environment, Beijing, China
- Kun Qian 0008 — Nanjing University of Finance and Economics, School of Accounting, China
- Kun Qian 0010 — Xiamen University, Xiamen, Fujian Province, China
- Kun Qian 0011 — Anqing Normal University, Anqing, China
- Kun Qian 0012 — Hunan Institute of Science and Technology, College of Physics and Electronics, Yueyang, China
- Kun Qian 0013 — Kunming University of Science and Technology, Kunming, China
- Kun Qian 0014 — University of California, Berkeley, CA, USA
- Kun Qian 0015 — China Aerospace Science and Technology Corporation, Shanghai, China (and 1 more)
- Kun Qian 0016 — Columbia University, Dialogue NLP Lab, NY, USA
- Kun Qian 0017 — Tsinghua University, Department of Computer Science and Technology, Beijing, China (and 1 more)
- Kun Qian 0018 — University of Texas at Austin, Department of Civil, Architectural, and Environmental Engineering, Austin, TX, USA
- Kun Qian 0019 — University of Leeds, School of Electronic and Electrical Engineering, Leeds, UK
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2020 – today
- 2024
- [j9]Shuangbu Wang, Yu Xia, Nan Xiang, Kun Qian, Xiaosong Yang, Lihua You, Jian-Jun Zhang:
Multi-colour sketch-based image retrieval with an explicable feature embedding. Eng. Appl. Artif. Intell. 135: 108757 (2024) - 2023
- [j8]Yuhan Wang, Hak-Keung Lam, Yujia Xu, Faliang Yin, Kun Qian:
Multi-task learning framework to predict the status of central venous catheter based on radiographs. Artif. Intell. Medicine 146: 102721 (2023) - 2021
- [j7]Kun Qian, Meili Wang, Yaqing Cui:
Simulation ready anatomy model generation pipeline for virtual surgery. Comput. Animat. Virtual Worlds 32(6) (2021) - 2020
- [j6]Lihua You, Xiaosong Yang, Junjun Pan, Tong-Yee Lee, Shaojun Bian, Kun Qian, Zulfiqar Habib, Allah Bux Sargano, Ismail Khalid Kazmi, Jian J. Zhang:
Fast character modeling with sketch-based PDE surfaces. Multim. Tools Appl. 79(31-32): 23161-23187 (2020)
2010 – 2019
- 2019
- [j5]Jian J. Zhang, Kun Qian:
Graph matching using conformal module. EURASIP J. Image Video Process. 2019: 26 (2019) - [j4]Tao Jiang, Xiaosong Yang, Jian-Jun Zhang, Feng Tian, Shuang Liu, Nan Xiang, Kun Qian:
Huber- L1-based non-isometric surface registration. Vis. Comput. 35(6-8): 935-948 (2019) - 2017
- [j3]Kun Qian, Junxuan Bai, Xiaosong Yang, JunJun Pan, Jian-Jun Zhang:
Essential techniques for laparoscopic surgery simulation. Comput. Animat. Virtual Worlds 28(2) (2017) - [j2]Tao Jiang, Kun Qian, Shuang Liu, Jing Wang, Xiaosong Yang, Jian-Jun Zhang:
Consistent as-similar-as-possible non-isometric surface registration. Vis. Comput. 33(6-8): 891-901 (2017) - [c3]Meili Wang, Hua Zheng, Kun Qian, Shuqin Li, Xiaosong Yang:
Sampling Hierarchical Position-Based Dynamics Simulation. AniNex 2017: 45-55 - 2016
- [j1]Kun Qian, Tao Jiang, Meili Wang, Xiaosong Yang, Jian-Jun Zhang:
Energized soft tissue dissection in surgery simulation. Comput. Animat. Virtual Worlds 27(3-4): 280-289 (2016) - 2015
- [c2]Kun Qian, Xiaosong Yang, Jian-Jun Zhang, Meili Wang:
An Adaptive Spherical Collision Detection and Resolution Method for Deformable Object Simulation. CAD/Graphics 2015: 8-17 - [c1]Kun Qian, Junxuan Bai, Xiaosong Yang, JunJun Pan, Jian-Jun Zhang:
Virtual reality based laparoscopic surgery simulation. VRST 2015: 69-78
Coauthor Index
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last updated on 2024-11-18 20:47 CET by the dblp team
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