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ORCIDLei Shi 0013
Person information
- affiliation: University of Technology Sydney, Centre for Autonomous Systems, Sydney, Australia
Other persons with the same name
- Lei Shi — disambiguation page
- Lei Shi 0001
![[0000-0002-0655-3971]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-0655-3971")
— Zhengzhou University, School of Information Engineering, China (and 1 more) - Lei Shi 0002 — Beihang University, School of Computer Science and Engineering, Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing, China (and 3 more)
- Lei Shi 0003 — Durham University, Department of Computer Science, UK (and 2 more)
- Lei Shi 0004 — Yunnan University of Finance and Economics, School of Statistics and Mathematics, Kunming, China (and 1 more)
- Lei Shi 0005 — Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, China
- Lei Shi 0006 — National Institutes of Health, Computational Chemistry and Molecular Biophysics Unit, Baltimore, MD, USA (and 1 more)
- Lei Shi 0007 — Cardiff University, UK
- Lei Shi 0008 — Institute of Technology Carlow, Ireland (and 2 more)
- Lei Shi 0009 — University of California, Helen Wills Neuroscience Institute, Berkeley, CA, USA (and 1 more)
- Lei Shi 0010 — Fudan University, School of Mathematical Sciences, Shanghai Key Laboratory for Contemporary Applied Mathematics, Shanghai, China (and 3 more)
- Lei Shi 0011 — Hefei University of Technology, School of Computer Science and Information Engineering, Hefei, China
- Lei Shi 0012 — University of Electronic Science and Technology of China, School of Automation Engineering, Chengdu, China
- Lei Shi 0014 — Georgia State University, Department of Computer Science, Atlanta, GA, USA
- Lei Shi 0015 — Baidu Inc., Beijing, China (and 1 more)
- Lei Shi 0016 — Baidu.com Inc., Shenzhen, China (and 1 more)
- Lei Shi 0017 — Northstream AB, Stockholm, Sweden (and 1 more)
- Lei Shi 0018 — Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
- Lei Shi 0019 — Cisco Systems, Inc., San Jose, CA, USA (and 1 more)
- Lei Shi 0020 — Cornell University & Cornell Tech, Ithaca, NY, USA
- Lei Shi 0021 — State University of New York at Buffalo, Computer Science and Engineering Department, Buffalo, NY, USA
- Lei Shi 0022 — Dalian University of Technology, Department of Construction Management, Dalian, China
- Lei Shi 0023 — Xidian University, School of Aerospace Science and Technology, Xi'an, China
- Lei Shi 0024 — Macquarie University, Macquarie Business School, Department of Applied Finance, Sydney, Australia (and 1 more)
- Lei Shi 0025 — Nanjing University of Aeronautics and Astronautics, Department of Mathematics, Nanjing, China (and 1 more)
- Lei Shi 0026 — Anyang Normal University, School of Mathematics and Statistics, Anyang, China
- Lei Shi 0027 — University of Houston, Department of Computer Science, Computational Biomedicine Laboratory, Houston, TX, USA
- Lei Shi 0028 — Henan Agricultural University, College of Information and Management Science, Zhengzhou, China
- Lei Shi 0029 — Lanzhou Jiaotong University, School of Automation and Electrical Engineering, China (and 1 more)
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2020 – today
- 2022
[c13]Kavindie Katuwandeniya, Stefan H. Kiss, Lei Shi, Jaime Valls Miró:
Exact-likelihood User Intention Estimation for Scene-compliant Shared-control Navigation. ICRA 2022: 6437-6443- 2021
- [c12]Kavindie Katuwandeniya, Stefan H. Kiss, Lei Shi, Jaime Valls Miró:
Multi-modal Scene-compliant User Intention Estimation in Navigation. IROS 2021: 1001-1006 - [i5]Kavindie Katuwandeniya, Stefan H. Kiss, Lei Shi, Jaime Valls Miró:
Multi-modal Scene-compliant User Intention Estimation for Navigation. CoRR abs/2106.06920 (2021)
2010 – 2019
- 2019
- [c11]Linh Nguyen, Jaime Valls Miró, Lei Shi, Teresa A. Vidal-Calleja:
Gaussian Mixture Marginal Distributions for Modelling Remaining Metallic Pipe Wall Thickness. CIS/RAM 2019: 257-262 - [i4]Linh Nguyen, Jaime Valls Miró, Lei Shi, Teresa A. Vidal-Calleja:
Gaussian Mixture Marginal Distributions for Modelling Remaining Pipe Wall Thickness of Critical Water Mains in Non-Destructive Evaluation. CoRR abs/1907.01184 (2019) - 2018
- [j6]Shifeng Wang, Sarath Kodagoda, Lei Shi, Xiang Dai:
Two-Stage Road Terrain Identification Approach for Land Vehicles Using Feature-Based and Markov Random Field Algorithm. IEEE Intell. Syst. 33(1): 29-39 (2018) - [j5]Huifang Ma, Rong Xiong, Yue Wang, Sarath Kodagoda, Lei Shi:
Towards open-set semantic labeling in 3D point clouds : Analysis on the unknown class. Neurocomputing 275: 1282-1294 (2018) - [j4]Jaime Valls Miró, Nalika Ulapane, Lei Shi, Dave Hunt, Michael Behrens:
Robotic pipeline wall thickness evaluation for dense nondestructive testing inspection. J. Field Robotics 35(8): 1293-1310 (2018) - 2017
- [j3]Yiyi Liao, Sarath Kodagoda, Yue Wang, Lei Shi, Yong Liu:
Place Classification With a Graph Regularized Deep Neural Network. IEEE Trans. Cogn. Dev. Syst. 9(4): 304-315 (2017) - [j2]Shifeng Wang, Sarath Kodagoda, Lei Shi, Hualin Wang:
Road-Terrain Classification for Land Vehicles: Employing an Acceleration-Based Approach. IEEE Veh. Technol. Mag. 12(3): 34-41 (2017) - [c10]Biao Song, Hailong Wang, Wendong Xiao, Shoudong Huang, Lei Shi:
Gaussian process model enabled particle filter for device-free localization. FUSION 2017: 1-6 - [c9]Mengmeng Wang, Daobilige Su, Lei Shi, Yong Liu, Jaime Valls Miró:
Real-time 3D human tracking for mobile robots with multisensors. ICRA 2017: 5081-5087 - [i3]Mengmeng Wang, Daobilige Su, Lei Shi, Yong Liu, Jaime Valls Miró:
Real-time 3D Human Tracking for Mobile Robots with Multisensors. CoRR abs/1703.04877 (2017) - 2016
- [c8]Yiyi Liao, Sarath Kodagoda, Yue Wang, Lei Shi, Yong Liu:
Understand scene categories by objects: A semantic regularized scene classifier using Convolutional Neural Networks. ICRA 2016: 2318-2325 - [c7]Lei Shi, Jaime Valls Miró, Teng Zhang, Teresa A. Vidal-Calleja, Liye Sun, Gamini Dissanayake:
Constrained sampling of 2.5D probabilistic maps for augmented inference. IROS 2016: 3131-3136 - 2015
- [i2]Yiyi Liao, Sarath Kodagoda, Yue Wang, Lei Shi, Yong Liu:
Place classification with a graph regularized deep neural network model. CoRR abs/1506.03899 (2015) - [i1]Yiyi Liao, Sarath Kodagoda, Yue Wang, Lei Shi, Yong Liu:
Understand Scene Categories by Objects: A Semantic Regularized Scene Classifier Using Convolutional Neural Networks. CoRR abs/1509.06470 (2015) - 2013
- [b1]Lei Shi:
Indoor place classification for intelligent mobile systems. University of Technology Sydney, Australia, 2013 - [j1]Lei Shi, Sarath Kodagoda:
Towards generalization of semi-supervised place classification over generalized Voronoi graph. Robotics Auton. Syst. 61(8): 785-796 (2013) - [c6]Lei Shi, Sarath Kodagoda, Massimo Piccardi:
Towards simultaneous place classification and object detection based on conditional random field with multiple cues. IROS 2013: 2806-2811 - 2012
- [c5]Lei Shi, Rami N. Khushaba, Sarath Kodagoda, Gamini Dissanayake:
Application of CRF and SVM based semi-supervised learning for semantic labeling of environments. ICARCV 2012: 835-840 - [c4]Lei Shi, Sarath Kodagoda, Gamini Dissanayake:
Application of semi-supervised learning with Voronoi Graph for place classification. IROS 2012: 2991-2996 - [c3]Rami N. Khushaba, Lei Shi, Sarath Kodagoda:
Time-dependent spectral features for limb position invariant myoelectric pattern recognition. ISCIT 2012: 1015-1020 - 2010
- [c2]Lei Shi, Sarath Kodagoda, Gamini Dissanayake:
Multi-class classification for semantic labeling of places. ICARCV 2010: 2307-2312 - [c1]Lei Shi, Sarath Kodagoda, Gamini Dissanayake:
Laser range data based semantic labeling of places. IROS 2010: 5941-5946
Coauthor Index
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