Foto von Yin Long Liu

Yin Long Liu

Technische Universität München

Informatik 6 - Lehrstuhl für Robotik, Künstliche Intelligenz und Echtzeitsysteme (Prof. Knoll)

  • yinlong.liu(at)tum.de

About Me

I am a Ph.D. student in Info VI of TU Munich.

My research interests include geometric vision and computer-assisted surgery.

 

Education Background

  • Technische Universität München | Ph.D. student 2018~Now
  • Fudan University | Master 2015~2018
  • Harbin Institute of Technology | Bachelor 2011~2015

Open Thesis

  • topic 1: Line-based SLAM.
  • topic 2: Camera pose estimation using convex relaxation optimization (e.g., SDP).
  • topic 3: Globally-optimal solutions to some geometric vision problems.

Publications

[1] Yinlong Liu, Xuechen Li, Manning Wang, Alois Knoll, Guang Chen, Zhijian Song. "A Novel Method for the Absolute Pose Problem with Pairwise Constraints." Remote Sensing 11.24 (2019): 3007. (IF=4.509)

Online: https://www.mdpi.com/2072-4292/11/24/3007

[2] Yinlong Liu, Guang Chen, and Alois Knoll. "Globally Optimal Vertical Direction Estimation in Atlanta World." IEEE Transactions on Pattern Analysis and Machine Intelligence (2020). (IF=17.861) (Early Access) DOI: 10.1109/TPAMI.2020.3027047

Online: https://ieeexplore.ieee.org/abstract/document/9207842

[3] Fan Lu, Guang Chen, Yinlong Liu, Zhongnan Qu and Alois Knoll. "RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor." Advances in Neural Information Processing Systems (NeurIPS) 2020.

https://proceedings.neurips.cc//paper/2020/hash/f40723ed94042ea9ea36bfb5ad4157b2-Abstract.html

[4] Yinlong Liu, Guang Chen and Alois Knoll, "Globally Optimal Camera Orientation Estimation from Line Correspondences by BnB algorithm," in IEEE Robotics and Automation Letters, vol. 6, no. 1, pp. 215-222, Jan. 2021, doi: 10.1109/LRA.2020.3037843. (IF=3.608)

Online: https://ieeexplore.ieee.org/document/9258393

[5] Fan Lu, Guang Chen, Yinlong Liu, Zhijun Li, Sanqing Qu and Tianpei Zou “MoNet: Motion-based Point Cloud Prediction Network.” 

Arxiv: https://arxiv.org/abs/2011.10812

[6] Fan Lu, Guang Chen, Sanqing Qu, Zhijun Li, Yinlong Liu and Alois Knoll “PointINet: Point Cloud Frame Interpolation Network.” Association for the Advancement of Artificial Intelligence (AAAI) 2021. 

Arxiv: https://arxiv.org/abs/2012.10066

[7] Jinhu Dong, Yinlong Liu, Lixuan Tang, Guang Chen and Alois Knoll, "A Fast and Robust 2D LiDAR Alignment Method by Motion Decoupling," 2020 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), Abu Dhabi, UAE, 2020, pp. 21-26, doi: 10.1109/SSRR50563.2020.9292637.

Online: https://ieeexplore.ieee.org/document/9292637

[8] Kexue Fu, Yinlong Liu and Manning Wang, "Global Registration of 3D Cerebral Vessels to Its 2D Projections by a New Branch-and-Bound Algorithm," in IEEE Transactions on Medical Robotics and Bionics, doi: 10.1109/TMRB.2021.3055020.

Online: https://ieeexplore.ieee.org/document/9336662

[9] Yiru Wang, Yinlong Liu, Xuechen Li,  Chen Wang, Manning Wang and Zhijian Song. Practical Globally Optimal Consensus Maximization by Branch-and-Bound based on Interval Arithmetic[J]. Pattern Recognition, 2021: 107897, DOI: 10.1016/j.patcog.2021.107897 (IF=7.196)

Online: https://doi.org/10.1016/j.patcog.2021.107897

[10] Yinlong Liu, Guang Chen, Rongqi Gu and Alois Knoll, "Globally Optimal Consensus Maximization for Relative Pose Estimation with Known Gravity Direction," in IEEE Robotics and Automation Letters, doi: 10.1109/LRA.2021.3087080. (IF=3.608)

Online: https://ieeexplore.ieee.org/document/9447984

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Github:https://github.com/Liu-Yinlong