Dongchun Ren

Orcid: 0000-0002-0909-5419

According to our database1, Dongchun Ren authored at least 30 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving.
CoRR, 2024

2023
CSIR: Cascaded Sliding CVAEs With Iterative Socially-Aware Rethinking for Trajectory Prediction.
IEEE Trans. Intell. Transp. Syst., December, 2023

Static-dynamic global graph representation for pedestrian trajectory prediction.
Knowl. Based Syst., October, 2023

Hybrid Motion Representation Learning for Prediction From Raw Sensor Data.
IEEE Trans. Multim., 2023

CSR: Cascade Conditional Variational Auto Encoder with Socially-aware Regression for Pedestrian Trajectory Prediction.
Pattern Recognit., 2023

BCDiff: Bidirectional Consistent Diffusion for Instantaneous Trajectory Prediction.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GANet: Goal Area Network for Motion Forecasting.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Simultaneous Past and Current Social Interaction-aware Trajectory Prediction for Multiple Intelligent Agents in Dynamic Scenes.
ACM Trans. Intell. Syst. Technol., 2022

Vehicle Motion Planning With Joint Cartesian-Frenét MPC.
IEEE Robotics Autom. Lett., 2022

Robust Path Planner for Autonomous Vehicles on Roads With Large Curvature.
IEEE Robotics Autom. Lett., 2022

Safety-based Reinforcement Learning Longitudinal Decision for Autonomous Driving in Crosswalk Scenarios.
Proceedings of the International Joint Conference on Neural Networks, 2022

CORE: Consistent Representation Learning for Face Forgery Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Tra2Tra: Trajectory-to-Trajectory Prediction With a Global Social Spatial-Temporal Attentive Neural Network.
IEEE Robotics Autom. Lett., 2021

AST-GNN: An attention-based spatio-temporal graph neural network for Interaction-aware pedestrian trajectory prediction.
Neurocomputing, 2021

Sliding Sequential CVAE with Time Variant Socially-aware Rethinking for Trajectory Prediction.
CoRR, 2021

Star Topology based Interaction for Robust Trajectory Forecasting in Dynamic Scene.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Robust Trajectory Prediction of Multiple Interacting Pedestrians via Incremental Active Learning.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Visionnet: A Coarse-To-Fine Motion Prediction Algorithm Based On Active Interaction-Aware Drivable Space Learning.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Unsupervised Active Learning via Subspace Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
An Efficient Generation Method based on Dynamic Curvature of the Reference Curve for Robust Trajectory Planning.
CoRR, 2020

Robust Trajectory Forecasting for Multiple Intelligent Agents in Dynamic Scene.
CoRR, 2020

VisionNet: A Drivable-space-based Interactive Motion Prediction Network for Autonomous Driving.
CoRR, 2020

An Attention-Based Interaction-Aware Spatio-Temporal Graph Neural Network for Trajectory Prediction.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Knowledge-Experience Graph with Denoising Autoencoder for Zero-Shot Learning in Visual Cognitive Development.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Fusing Knowledge and Experience with Graph Convolutional Network for Cross-task Learning in Visual Cognitive Development.
Proceedings of the Cognitive Systems and Signal Processing - 5th International Conference, 2020

2019
StarNet: Pedestrian Trajectory Prediction using Deep Neural Network in Star Topology.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018
End-to-End Learning Driver Policy using Moments Deep Neural Network.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018

2016
On Study of the Binarized Deep Neural Network for Image Classification.
CoRR, 2016

2015
Efficient sequential feature selection based on adaptive eigenspace model.
Neurocomputing, 2015

2013
A biologically inspired model of emotion eliciting from visual stimuli.
Neurocomputing, 2013


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