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.

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Chenxing Li,  A robot platform for training reinforcement learning algorithm in the real world applications (finished)

Judith Treffler, Globally-Optimal Solution to Simultaneous Camera Pose and Line Correspondence (ongoing)

 

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.

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).  (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. 

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

[5] 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

[6] 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

[7] 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 

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

[8] 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. 

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

[9] Guang Chen, Yinlong Liu, Jinhu Dong, Lijun Zhang, Haotian Liu, Bo Zhang, Alois Knoll, "Efficient and Robust Line-Based Registration Algorithm for Robot Perception under Large-Scale Structural Scenes" IEEE ICARM 2021

[10] Fan Lu, Guang Chen, Yinlong Liu, Lijun Zhang, Sanqing Qu, Shu Liu, Rongqi Gu, "HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration" ICCV2021

arXiv:https://arxiv.org/abs/2107.11992

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