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ORCIDHao Cheng 0008
Person information
- affiliation: Leibniz University Hannover, Institute of Cartography and Geoinformatics, Germany
Other persons with the same name
- Hao Cheng — disambiguation page
- Hao Cheng 0001 — University of Central Florida, Department of Electrical Engineering and Computer Science, Orlando, FL, USA
- Hao Cheng 0002 — Microsoft Research (and 2 more)
- Hao Cheng 0003
![[0000-0003-4134-8479]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4134-8479")
— Shanghai University, School of Communication and Information Engineering, China (and 1 more) - Hao Cheng 0004 — Shanghai Jiao Tong University, Department of Automation, China
- Hao Cheng 0005 — University of California, Santa Cruz, CA, USA (and 1 more)
- Hao Cheng 0006 — Southeast University, School of Information Science and Engineering, Nanjing, China
- Hao Cheng 0007 — Dalian University of Technology, Faculty of Infrastructure Engineering, China
- Hao Cheng 0009 — University of Luxembourg, Luxembourg
- Hao Cheng 0010 — Tianjin University, School of Computer Science and Technology, China
- Hao Cheng 0011 — Jilin University, Key Laboratory of Geo-Exploration Instruments, China
- Hao Cheng 0012 — Tencent Youtu Lab, Shanghai, China
- Hao Cheng 0013 — Qingdao Technological University, School of Management, China
- Hao Cheng 0014 — Nanjing University, Department of Computer Science and Technology, National Key Laboratory for Novel Software Technology, China
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Journal Articles
- 2023
[j3]Zahra Bahari Sojahrood, Mohammad Taleai, Hao Cheng:
Hybrid POI group recommender system based on group type in LBSN. Expert Syst. Appl. 219: 119681 (2023)- 2022
- [j2]Yunshuang Yuan, Hao Cheng, Monika Sester:
Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous Driving. IEEE Robotics Autom. Lett. 7(2): 3054-3061 (2022) - 2020
- [j1]Hao Cheng, Stefania Zourlidou, Monika Sester:
Traffic Control Recognition with Speed-Profiles: A Deep Learning Approach. ISPRS Int. J. Geo Inf. 9(11): 652 (2020)
Conference and Workshop Papers
- 2024
- [c15]Yiming Xu, Hao Cheng, Monika Sester:
Controllable Diverse Sampling for Diffusion Based Motion Behavior Forecasting. IV 2024: 2397-2404 - 2023
- [c14]Mengmeng Liu, Hao Cheng, Michael Ying Yang:
Tracing the Influence of Predecessors on Trajectory Prediction. ICCV (Workshops) 2023: 3245-3255 - [c13]Weicheng Zhang, Hao Cheng, Fatema T. Johora, Monika Sester:
ForceFormer: Exploring Social Force and Transformer for Pedestrian Trajectory Prediction. IV 2023: 1-7 - 2021
- [c12]Hao Cheng, Wentong Liao, Xuejiao Tang, Michael Ying Yang, Monika Sester, Bodo Rosenhahn:
Exploring Dynamic Context for Multi-path Trajectory Prediction. ICRA 2021: 12795-12801 - [c11]Yang Li, Hao Cheng, Zhe Zeng, Hailong Liu, Monika Sester:
Autonomous Vehicles Drive into Shared Spaces: eHMI Design Concept Focusing on Vulnerable Road Users. ITSC 2021: 1729-1736 - 2020
- [c10]Fatema T. Johora, Hao Cheng, Jörg P. Müller, Monika Sester:
An Agent-Based Model for Trajectory Modelling in Shared Spaces: A Combination of Expert-Based and Deep Learning Approaches. AAMAS 2020: 1878-1880 - [c9]Hao Cheng, Wentong Liao, Michael Ying Yang, Monika Sester, Bodo Rosenhahn:
MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory Prediction in Mixed Traffic. ITSC 2020: 1-8 - [c8]Hao Cheng, Hailong Liu, Fumito Shinmura, Naoki Akai, Hiroshi Murase, Takatsugu Hirayama:
Automatic Interaction Detection Between Vehicles and Vulnerable Road Users During Turning at an Intersection. IV 2020: 912-918 - [c7]Hao Cheng, Fatema T. Johora, Monika Sester, Jörg P. Müller:
Trajectory Modelling in Shared Spaces: Expert-Based vs. Deep Learning Approach? MABS 2020: 13-27 - 2019
- [c6]Hao Cheng, Yao Li, Monika Sester:
Pedestrian Group Detection in Shared Space. IV 2019: 1707-1714 - [c5]Yu Feng, Shumin Tang, Hao Cheng, Monika Sester:
Flood Level Estimation from News Articles and Flood Detection from Satellite Image Sequences. MediaEval 2019 - 2018
- [c4]Hao Cheng, Monika Sester:
Mixed Traffic Trajectory Prediction Using LSTM-Based Models in Shared Space. AGILE Conf. 2018: 309-325 - [c3]Hao Cheng, Monika Sester:
Modeling Mixed Traffic in Shared Space Using LSTM with Probability Density Mapping. ITSC 2018: 3898-3904 - 2017
- [c2]Hao Cheng, Markus Rokicki, Eelco Herder:
The Influence of City Size on Dietary Choices. UMAP (Adjunct Publication) 2017: 231-236 - [c1]Hao Cheng, Markus Rokicki, Eelco Herder:
The Influence of City Size on Dietary Choices and Food Recommendation. UMAP 2017: 359-360
Informal and Other Publications
- 2024
- [i16]Yiming Xu, Hao Cheng, Monika Sester:
Controllable Diverse Sampling for Diffusion Based Motion Behavior Forecasting. CoRR abs/2402.03981 (2024) - [i15]Kun Li, Hao Cheng, George Vosselman, Michael Ying Yang:
Learning from Exemplars for Interactive Image Segmentation. CoRR abs/2406.11472 (2024) - [i14]Weiqin Jiao, Hao Cheng, Claudio Persello, George Vosselman:
RoIPoly: Vectorized Building Outline Extraction Using Vertex and Logit Embeddings. CoRR abs/2407.14920 (2024) - 2023
- [i13]Yunshuang Yuan, Hao Cheng, Michael Ying Yang, Monika Sester:
Generating Evidential BEV Maps in Continuous Driving Space. CoRR abs/2302.02928 (2023) - [i12]Weicheng Zhang, Hao Cheng, Fatema T. Johora, Monika Sester:
ForceFormer: Exploring Social Force and Transformer for Pedestrian Trajectory Prediction. CoRR abs/2302.07583 (2023) - [i11]Mengmeng Liu, Hao Cheng, Lin Chen, Hellward Broszio, Jiangtao Li, Runjiang Zhao, Monika Sester, Michael Ying Yang:
LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints. CoRR abs/2302.13933 (2023) - [i10]Hao Cheng, Mengmeng Liu, Lin Chen:
An End-to-End Framework of Road User Detection, Tracking, and Prediction from Monocular Images. CoRR abs/2308.05026 (2023) - [i9]Mengmeng Liu, Hao Cheng, Michael Ying Yang:
Tracing the Influence of Predecessors on Trajectory Prediction. CoRR abs/2308.05634 (2023) - 2022
- [i8]Hao Cheng, Mengmeng Liu, Lin Chen, Hellward Broszio, Monika Sester, Michael Ying Yang:
GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction Model. CoRR abs/2209.07857 (2022) - 2021
- [i7]Yang Li, Hao Cheng, Zhe Zeng, Hailong Liu, Monika Sester:
Autonomous Vehicles Drive into Shared Spaces: eHMI Design Concept Focusing on Vulnerable Road Users. CoRR abs/2104.06916 (2021) - [i6]Hao Cheng, Li Feng, Hailong Liu, Takatsugu Hirayama, Hiroshi Murase, Monika Sester:
Interaction Detection Between Vehicles and Vulnerable Road Users: A Deep Generative Approach with Attention. CoRR abs/2105.03891 (2021) - [i5]Monika Sester, Mark Vollrath, Hao Cheng:
Improving Take-over Situation by Active Communication. CoRR abs/2106.06255 (2021) - [i4]Yunshuang Yuan, Hao Cheng, Monika Sester:
Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous Driving. CoRR abs/2109.11615 (2021) - 2020
- [i3]Hao Cheng, Wentong Liao, Michael Ying Yang, Monika Sester, Bodo Rosenhahn:
Context Conditional Variational Autoencoder for Predicting Multi-Path Trajectories in Mixed Traffic. CoRR abs/2002.05966 (2020) - [i2]Hao Cheng, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn, Monika Sester:
AMENet: Attentive Maps Encoder Network for Trajectory Prediction. CoRR abs/2006.08264 (2020) - [i1]Hao Cheng, Wentong Liao, Xuejiao Tang, Michael Ying Yang, Monika Sester, Bodo Rosenhahn:
Exploring Dynamic Context for Multi-path Trajectory Prediction. CoRR abs/2010.16267 (2020)
Coauthor Index
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