Y Wu, X Su, D Salihu, Hao Xing, M Zakour, C Patsch
Modeling Action Spatiotemporal Relationships Using Graph-Based Class-Level Attention Network for Long-Term Action Detection
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
2023

Qingyu Wang, Hao Xing, Yibin Ying, Mingchuan Zhou
CGFNet: 3D Convolution Guided and Multi-scale Volume Fusion Network for fast and robust stereo matching
Pattern Recognition Letters
2023

Hao Xing, Darius Burschka
Understanding Spatio-Temporal Relations in Human-Object Interaction using Pyramid Graph Convolutional Network
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
2022

Hao Xing, Yifan Cao, Maximilian Biber, Mingchuan Zhou, Darius Burschka
Joint Prediction of Monocular Depth and Structure using Planar and Parallax Geometry
Pattern Recognition (PR) Elsevier
2022

Hao Xing, Darius Burschka
Skeletal Human Action Recognition using Hybrid Attention based Graph Convolutional Network
26th International Conference on Pattern Recognition (ICPR)
2022

Kai Wu, Ee Heng Chen, Xing Hao, Felix Wirth, Keti Vitanova, Rüdiger Lange and Darius Burschka
Adaptable Action-Aware Vital Modelsfor Personalized Intelligent Patient Monitoring
2022 IEEE International Conference on Robotics and Automation (ICRA)
2022

Xing Hao, Xue Yuxuan, Zhou Mingchuan, Burschka Darius
Robust Event Detection based on Spatio-Temporal Latent Action Unit using Skeletal Information
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
2021

Jens Schulz, Constantin Hubmann, Nikolai Morin, Julian Löchner, Darius Burschka
Learning Interaction-Aware Probabilistic Driver Behavior Models from Urban Scenarios
IEEE Intelligent Vehicles Symposium (IV)
2019

Jens Schulz, Constantin Hubmann, Julian Löchner, Darius Burschka
Interaction-Aware Probabilistic Behavior Prediction in Urban Environments
IEEE International Conference on Intelligent Robots and Systems (IROS)
2018

Jens Schulz, Constantin Hubmann, Julian Löchner, Darius Burschka
Multiple Model Unscented Kalman Filtering in Dynamic Bayesian Networks for Intention Estimation and Trajectory Prediction
IEEE International Conference on Intelligent Transportation Systems (ITSC)
2018