Zheng Chen

According to our database, Zheng Chen authored at least 18 papers between 2019 and 2024.

Collaborative distances:

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

2024

Kernel-based diffusion approximated Markov decision processes for autonomous navigation and control on unstructured terrains.

Junhong Xu, Kai Yin, Zheng Chen, Jason M. Gregory, Ethan A. Stump, Lantao Liu

Int. J. Robotics Res., 2024

NARUTO: Neural Active Reconstruction from Uncertain Target Observations.

Ziyue Feng, Huangying Zhan, Zheng Chen, Qingan Yan, Xiangyu Xu, Changjiang Cai, Bing Li, Qilun Zhu, Yi Xu

CoRR, 2024

PlanarNeRF: Online Learning of Planar Primitives with Neural Radiance Fields.

Zheng Chen, Qingan Yan, Huangying Zhan, Changjiang Cai, Xiangyu Xu, Yuzhong Huang, Weihan Wang, Ziyue Feng, Lantao Liu, Yi Xu

CoRR, 2024

Show Your Face: Restoring Complete Facial Images from Partial Observations for VR Meeting.

Zheng Chen, Zhiqi Zhang, Junsong Yuan, Yi Xu, Lantao Liu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Pseudo-trilateral adversarial training for domain adaptive traversability prediction.

Zheng Chen, Durgakant Pushp, Jason M. Gregory, Lantao Liu

Auton. Robots, December, 2023

Polyline Generative Navigable Space Segmentation for Autonomous Visual Navigation.

Zheng Chen, Zhengming Ding, David J. Crandall, Lantao Liu

IEEE Robotics Autom. Lett., April, 2023

POVNav: A Pareto-Optimal Mapless Visual Navigator.

Durgakant Pushp, Zheng Chen, Chaomin Luo, Jason M. Gregory, Lantao Liu

CoRR, 2023

SePaint: Semantic Map Inpainting via Multinomial Diffusion.

Zheng Chen, Deepak Duggirala, David Crandall, Lei Jiang, Lantao Liu

CoRR, 2023

IDA: Informed Domain Adaptive Semantic Segmentation.

Zheng Chen, Zhengming Ding, Jason M. Gregory, Lantao Liu

IROS, 2023

2022

CALI: Coarse-to-Fine ALIgnments Based Unsupervised Domain Adaptation of Traversability Prediction for Deployable Autonomous Navigation.

Zheng Chen, Durgakant Pushp, Lantao Liu

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

2021

Navigable Space Construction from Sparse Noisy Point Clouds.

Zheng Chen, Lantao Liu

IEEE Robotics Autom. Lett., 2021

Kernel-based Diffusion Approximated Markov Decision Processes for Off-Road Autonomous Navigation and Control.

Junhong Xu, Kai Yin, Zheng Chen, Jason M. Gregory, Ethan A. Stump, Lantao Liu

CoRR, 2021

NSS-VAEs: Generative Scene Decomposition for Visual Navigable Space Construction.

Zheng Chen, Lantao Liu

CoRR, 2021

Multi-Objective Autonomous Exploration on Real-Time Continuous Occupancy Maps.

Zheng Chen, Weizhe Chen, Shi Bai, Lantao Liu

CoRR, 2021

Polyline Based Generative Navigable Space Segmentation for Autonomous Visual Navigation.

Zheng Chen, Zhengming Ding, David Crandall, Lantao Liu

CoRR, 2021

Efficient Map Prediction via Low-Rank Matrix Completion.

Zheng Chen, Shi Bai, Lantao Liu

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

2019

Creating Navigable Space from Sparse Noisy Map Points.

Zheng Chen, Lantao Liu

CoRR, 2019

A Visual Feature based Obstacle Avoidance Method for Autonomous Navigation.

Zheng Chen, Malintha Fernando, Lantao Liu

Proceedings of the 48th IEEE Applied Imagery Pattern Recognition Workshop, 2019