Object-Centric Approach to Prediction and Labeling of Manipulation Tasks. - Ee Heng Chen; Darius Burschka (ICRA, 2018)

Investigating Low Level Features in CNN for Traffic Sign Detection and Recognition. - Ee Heng Chen; Philipp Röthig; Jöran Zeisler; Darius Burschka (ITSC, 2019)

Pixelwise Traffic Junction Segmentation for Urban Scene Understanding. - Ee Heng Chen; Hanbo Hu; Jöran Zeisler; Darius Burschka (ITSC, 2020)

Direct Image Based Traffic Junction Crossing System for Autonomous Vehicles. - Ee Heng Chen; Jöran Zeisler; Darius Burschka (ITSC, 2021)

Investigating Binary Neural Networks for Traffic Sign Detection and Recognition. - Ee Heng Chen; Manoj Rohit Vemparala; Nael Fasfous; Alexander Frickenstein; Ahmed Mzid; Naveen Shankar Nagaraja; Jöran Zeisler; Walter Stechele (IV, 2021)

Estimating Dense Optical Flow of Objects for Autonomous Vehicles. - Ee Heng Chen; Jöran Zeisler; Darius Burschka (IV, 2021)

Adaptable Action-Aware Vital Models for Personalized Intelligent Patient Monitoring. - Kai Wu; Ee Heng Chen; Hao Xing; Felix Wirth; Keti Vitanova; Rüdiger Lange; Darius Burschka (ICRA, 2022)

Development of Vision-based Driving Strategies for Traffic Junction Scenarios. - Ee Heng Chen (2022)

Continuous Risk Estimation of Acute Kidney Failure with Dense Temporal Data for ICU Patients. - Kai Wu; Ee Heng Chen; Felix Wirth; Keti Vitanova; Rüdiger Lange; Darius Burschka (EMBC, 2023)

Risk Estimation for ICU Patients with Personalized Anomaly-Encoded Bedside Patient Data. - Kai Wu; Ee Heng Chen; Felix Wirth; Keti Vitanova; Rüdiger Lange; Darius Burschka (EMBC, 2023)