Human Computer Interaction

Yao Rong

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University of Tübingen
Dpt. of Computer Science
Human-Computer Interaction
Sand 14
72076 Tübingen
Germany

Telephone
+49 - (0) 70 71 - 29 - 77347
Telefax
+49 - (0) 70 71 - 29 - 50 62
E-Mail
yao.rong@uni-tuebingen.de
Office
Sand 14, C222
Office hours
on appointment

Research Interests

  • Driver’s gaze/behavior/intention analysis
  • Explainable models
  • Machine Learning/Deep Learning

If you are a master student looking for a project/thesis topic in the field of autonomous driving, machine learning and deep learning, please contact me via email.

Education

  • Ph.D. Candidate in Computer Science, Eberhard Karls University of Tübingen, Germany, August, 2019 - Present
  • M.Sc. in Electrical and Computer Engineering, Technical University of Munich, Germany, June 2019
  • B.Eng. in Mechatronic Engineering, Tongji University, China, September, 2016

Publications

2020

Fully Convolutional Neural Networks for Raw Eye Tracking Data Segmentation, Generation, and Reconstruction

Wolfgang Fuhl, Yao Rong, and Kasneci Enkelejda. Proceedings of the International Conference on Pattern Recognition, pages 0–0, 2020.

PDF BIB

Explainable Online Validation of Machine Learning Models for Practical Applications

Wolfgang Fuhl, Yao Rong, Thomas Motz, Michael Scheidt, Andreas Hartel, Andreas Koch, and Enkelejda Kasneci. Proceedings of the International Conference on Pattern Recognition, pages 0–0, 2020.

PDF BIB

Driver Intention Anticipation Based on In-Cabin and Driving Scene Monitoring

Rong Yao, Akata Zeynep, and Kasneci Enkelejda. IEEE Conference on Intelligent Transportation Systems (ITSC), 2020, pages 0–0, 2020.

BIB

2019

Talking with Your Hands: Scaling Hand Gestures and Recognition with CNNs

Okan Kopuklu, Yao Rong, and Gerhard Rigoll. Proceedings of the IEEE International Conference on Computer Vision Workshops, pages 0–0, 2019.

BIB

Teaching

Course Term
Grundlagen der Multimediatechnik