Xiaolong Liu 刘晓龙

Xiaolong Liu
B.Sc. degree from Liaoning Technical University and M.Sc. degree jointly from Beijing University of Technology and Chinese Academy of Science.
He is currently a Ph.D. candidate in the Department of Computer Science and Technology, Tsinghua University, Beijing, China. His research interests include computer vision, intelligent robot, environmental perception of self-driving car.
Papers

Xiaolong Liu, Zhidong Deng and Guorun Yang. Drivable Road Detection Based on Dilated FPN with Feature Aggregation. ICTAI 2017.

Xiaolong Liu, Zhidong Deng. Vision-based Semantic Segmentation of Drivable Road Using Deep ResNet with Pyramid Pooling. Cognitive Computation.  
Xiaolong Liu, Zhidong Deng, Hongchao Lu. Benchmark for Road Marking Detection: Dataset Specification and Performance Baseline. ITSC 2017.     http://www.tromai.icoc.me/

Xiaolong Liu, Zhidong Deng. Lane markings detection approach based on interaction of global and local models and with uncertainty evaluation. Journal of Southeast University (Science Edition), 2013, 43(z1), pp. 1-6.

Xiaolong Liu, Zhidong Deng. A Graph-based Non-parametric Drivable Road Region Segmentation Approach for Driverless Car Based on LIDAR Data. CIAC2015.
Xiaolong Liu, Guangjing Yang, Yangyu Luo, et al. Research on Infrared Landmark Localization Module of Embedded Mobile Robot. Computer engineering, 2013,39 (3):203-208.

Cunfu He. Xiaolong Liu, Fuxiao Hu. Research on Measurement unit with Self-Check Parameters of Piezoelectric Transducer. MEASUREMENT & CONTROL TECHNOLOGY,2012,31(4):17-20.
Lele Cao, Fuchun Sun, Wenbing Huang and Xiaolong Liu.  Fix-Budget and Recurrent Data Mining for Online Tactile Recognition. ICONIP 2017.

Lele Cao, Fuchun Sun, Weihao Cheng, Wenbing Huang, Kotagiri Ramamohanarao, Xiaolong Liu, Agile-Recurrent Tactile Object Recognition with Momentum Batch-Sequential Echo State Nets. IEEE Trans. on Systems, Man, and Cybernetics: Systems. Submitting.

Min Wei, Longyu Zhao and Xiaolong Liu, " A new clustering algorithm with adaptive attractor for LIDAR points. ", 2014 International Conference on progress in informatics and computing, May 16-18, 2014, Shanghai, China. pp.21-26
Contact me
Xiaolong Liu(刘晓龙)
Department of Computer Science & Technology, Tsinghua University
Emaill: xllau@126.com