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 - 70494
Telefax
+49 - (0) 70 71 - 29 - 50 62
E-Mail
yao.rong@uni-tuebingen.de
Office
Sand 14, C220
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

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

2020

by Wolfgang Fuhl, Yao Rong, and Kasneci Enkelejda

PDF BIB

Multi Layer Neural Networks as Replacement for Pooling Operations

aug, 2020

by Wolfgang Fuhl, Yao Rong, Thomas Motz, Michael Scheidt, Andreas Hartel, Andreas Koch, and Enkelejda Kasneci

PDF BIB

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

2020

by Rong Yao, Akata Zeynep, and Kasneci Enkelejda

BIB

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

2019

by Okan Kopuklu, Yao Rong, and Gerhard Rigoll

BIB

News

24.06.2020

Paper accepted at the International Conference on Pattern Recognition 2020 (ICPR)

The paper “Fully Convolutional Neural Networks for Raw Eye Tracking Data Segmentation, Generation, and Reconstruction” was accepted at the International Conference on Pattern Recognition 2020.

Read more ...