Dieses Bild zeigt Lei Shi

Lei Shi

Herr Dr.

Wiss. Mitarbeiter
Institut für Visualisierung und Interaktive Systeme (VIS)
Abteilung Mensch-Computer-Interaktion und Kognitive Systeme (MCI-KS)

Kontakt


Pfaffenwaldring 5a
70569 Stuttgart
Deutschland
Raum: 01.029

  • Evaluating Dropout Placements in Bayesian Regression Resnet

 Lei Shi, Cosmin Copot, Steve Vanlanduit

Journal of Artificial Intelligence and Soft Computing Research, 12(1), pp. 61– 73, 2022.

 
  • Gaze Gesture Recognition by Graph Convolutional Networks

Lei Shi, Cosmin Copot, Steve Vanlanduit

Frontiers in Robotics and AI, 8, 2021.

 
  • GazeEMD: Detecting Visual Intention in Gaze-Based Human-Robot Interaction

Lei Shi, Cosmin Copot, Steve Vanlanduit

Robotics, 10(2), pp. 1–18, 2021.

 
  • A Bayesian Deep Neural Network for Safe Visual Servoing in Human–Robot Interaction

Lei Shi, Cosmin Copot, Steve Vanlanduit

Frontiers in Robotics and AI, 8, pp. 1–13, 2021.

 
  • Dynamics of Generic Linear Agents Over Signed Networks Without Structural Constraints

Lei Shi, Hongjian Chen, Yuhua Cheng, Wei Xing Zheng, Jinliang Shao

IFAC-PapersOnLine, 53(2), pp. 2459–2464, 2020.

 
  • A Deep Regression Model for Safety Control in Visual Servoing Applications

Lei Shi, Cosmin Copot, Steve Vanlanduit

Proc. IEEE International Conference on Robotic Computing (IRC), pp. 360–3 66, 2020.

 
  • A Performance Analysis of Invariant Feature Descriptors in Eye Tracking based Human Robot Collaboration

Lei Shi, Cosmin Copot, Stijn Derammelaere, Steve Vanlanduit

Proc. International Conference on Control, Automation and Robotics (ICCAR), pp. 256–260, 2019.

 
  • Application of Visual Servoing and Eye Tracking Glass in Human Robot Interaction: A case study

Lei Shi, Cosmin Copot, Steve Vanlanduit

Proc. International Conference on System Theory, Control and Computing (ICSTCC), pp. 515–520, 2019.

 
  • Automatic Tuning Methodology of Visual Servoing System Using Predictive Approach

Cosmin Copot, Lei Shi, Steve Vanlanduit

Proc. IEEE International Conference on Control and Automation (ICCA), pp. 776–781, 2019.

 
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