Hao Cheng

According to our database, Hao Cheng authored at least 28 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RoIPoly: Vectorized Building Outline Extraction Using Vertex and Logit Embeddings.

Weiqin Jiao, Hao Cheng, Claudio Persello, George Vosselman

CoRR, 2024

Learning from Exemplars for Interactive Image Segmentation.

Kun Li, Hao Cheng, George Vosselman, Michael Ying Yang

CoRR, 2024

Controllable Diverse Sampling for Diffusion Based Motion Behavior Forecasting.

Yiming Xu, Hao Cheng, Monika Sester

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints.

Mengmeng Liu, Hao Cheng, Lin Chen, Hellward Broszio, Jiangtao Li, Runjiang Zhao, Monika Sester, Michael Ying Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Hybrid POI group recommender system based on group type in LBSN.

Zahra Bahari Sojahrood, Mohammad Taleai, Hao Cheng

Expert Syst. Appl., June, 2023

Generating Evidential BEV Maps in Continuous Driving Space.

Yunshuang Yuan, Hao Cheng, Michael Ying Yang, Monika Sester

CoRR, 2023

ForceFormer: Exploring Social Force and Transformer for Pedestrian Trajectory Prediction.

Weicheng Zhang, Hao Cheng, Fatema T. Johora, Monika Sester

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

An End-to-End Framework of Road User Detection, Tracking, and Prediction from Monocular Images.

Hao Cheng, Mengmeng Liu, Lin Chen

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Tracing the Influence of Predecessors on Trajectory Prediction.

Mengmeng Liu, Hao Cheng, Michael Ying Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous Driving.

Yunshuang Yuan, Hao Cheng, Monika Sester

IEEE Robotics Autom. Lett., 2022

GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction Model.

Hao Cheng, Mengmeng Liu, Lin Chen, Hellward Broszio, Monika Sester, Michael Ying Yang

CoRR, 2022

2021

Improving Take-over Situation by Active Communication.

Monika Sester, Mark Vollrath, Hao Cheng

CoRR, 2021

Interaction Detection Between Vehicles and Vulnerable Road Users: A Deep Generative Approach with Attention.

Hao Cheng, Li Feng, Hailong Liu, Takatsugu Hirayama, Hiroshi Murase, Monika Sester

CoRR, 2021

Autonomous Vehicles Drive into Shared Spaces: eHMI Design Concept Focusing on Vulnerable Road Users.

Yang Li, Hao Cheng, Zhe Zeng, Hailong Liu, Monika Sester

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Exploring Dynamic Context for Multi-path Trajectory Prediction.

Hao Cheng, Wentong Liao, Xuejiao Tang, Michael Ying Yang, Monika Sester, Bodo Rosenhahn

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Traffic Control Recognition with Speed-Profiles: A Deep Learning Approach.

Hao Cheng, Stefania Zourlidou, Monika Sester

ISPRS Int. J. Geo Inf., 2020

AMENet: Attentive Maps Encoder Network for Trajectory Prediction.

Hao Cheng, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn, Monika Sester

CoRR, 2020

Context Conditional Variational Autoencoder for Predicting Multi-Path Trajectories in Mixed Traffic.

Hao Cheng, Wentong Liao, Michael Ying Yang, Monika Sester, Bodo Rosenhahn

CoRR, 2020

Trajectory Modelling in Shared Spaces: Expert-Based vs. Deep Learning Approach?

Hao Cheng, Fatema T. Johora, Monika Sester, Jörg P. Müller

Proceedings of the Multi-Agent-Based Simulation XXI - 21st International Workshop, 2020

Automatic Interaction Detection Between Vehicles and Vulnerable Road Users During Turning at an Intersection.

Hao Cheng, Hailong Liu, Fumito Shinmura, Naoki Akai, Hiroshi Murase, Takatsugu Hirayama

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory Prediction in Mixed Traffic.

Hao Cheng, Wentong Liao, Michael Ying Yang, Monika Sester, Bodo Rosenhahn

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

An Agent-Based Model for Trajectory Modelling in Shared Spaces: A Combination of Expert-Based and Deep Learning Approaches.

Fatema T. Johora, Hao Cheng, Jörg P. Müller, Monika Sester

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Flood Level Estimation from News Articles and Flood Detection from Satellite Image Sequences.

Yu Feng, Shumin Tang, Hao Cheng, Monika Sester

Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

Pedestrian Group Detection in Shared Space.

Hao Cheng, Yao Li, Monika Sester

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

2018

Modeling Mixed Traffic in Shared Space Using LSTM with Probability Density Mapping.

Hao Cheng, Monika Sester

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Mixed Traffic Trajectory Prediction Using LSTM-Based Models in Shared Space.

Hao Cheng, Monika Sester

Proceedings of the Geospatial Technologies for All, 2018

2017

The Influence of City Size on Dietary Choices.

Hao Cheng, Markus Rokicki, Eelco Herder

Proceedings of the Adjunct Publication of the 25th Conference on User Modeling, 2017

The Influence of City Size on Dietary Choices and Food Recommendation.

Hao Cheng, Markus Rokicki, Eelco Herder

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017