Ce Zhang

According to our database, Ce Zhang authored at least 14 papers between 2020 and 2024.

Collaborative distances:

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

2024

SalienDet: A Saliency-Based Feature Enhancement Algorithm for Object Detection for Autonomous Driving.

Ning Ding, Ce Zhang, Azim Eskandarian

IEEE Trans. Intell. Veh., January, 2024

Image-Guided Outdoor LiDAR Perception Quality Assessment for Autonomous Driving.

Ce Zhang, Azim Eskandarian

CoRR, 2024

2023

A Quality Index Metric and Method for Online Self-Assessment of Autonomous Vehicles Sensory Perception.

Ce Zhang, Azim Eskandarian

IEEE Trans. Intell. Transp. Syst., December, 2023

Autonomous Vehicle Perception Quality Assessment.

Ce Zhang

PhD thesis, 2023

X-CAR: An Experimental Vehicle Platform for Connected Autonomy Research.

Goodarz Mehr, Prasenjit Ghorai, Ce Zhang, Anshul Nayak, Darshit Patel, Shathushan Sivashangaran, Azim Eskandarian

IEEE Intell. Transp. Syst. Mag., 2023

MotionTrack: End-to-End Transformer-based Multi-Object Tracing with LiDAR-Camera Fusion.

Ce Zhang, Chengjie Zhang, Yiluan Guo, Lingji Chen, Michael Happold

CoRR, 2023

MotionTrack: End-to-End Transformer-based Multi-Object Tracking with LiDAR-Camera Fusion.

Ce Zhang, Chengjie Zhang, Yiluan Guo, Lingji Chen, Michael Happold

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

EEG-Fest: Few-shot based Attention Network for Driver's Vigilance Estimation with EEG Signals.

Ning Ding, Ce Zhang, Azim Eskandarian

CoRR, 2022

X-CAR: An Experimental Vehicle Platform for Connected Autonomy Research Powered by CARMA.

Goodarz Mehr, Prasenjit Ghorai, Ce Zhang, Anshul Nayak, Darshit Patel, Shathushan Sivashangaran, Azim Eskandarian

CoRR, 2022

Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation.

Yangheng Zhao, Jun Wang, Xiaolong Li, Yue Hu, Ce Zhang, Yanfeng Wang, Siheng Chen

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

A Survey and Tutorial of EEG-Based Brain Monitoring for Driver State Analysis.

Ce Zhang, Azim Eskandarian

IEEE CAA J. Autom. Sinica, 2021

EEG-Inception: An Accurate and Robust End-to-End Neural Network for EEG-based Motor Imagery Classification.

Ce Zhang, Young-Keun Kim, Azim Eskandarian

CoRR, 2021

Attention-based Neural Network for Driving Environment Complexity Perception.

Ce Zhang, Azim Eskandarian, Xuelai Du

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

2020

A Computationally Efficient Multiclass Time-Frequency Common Spatial Pattern Analysis on EEG Motor Imagery.

Ce Zhang, Azim Eskandarian

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020