Yeqiang Qian

Orcid: 0000-0003-0831-8702

According to our database1, Yeqiang Qian authored at least 30 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
SAM4UDASS: When SAM Meets Unsupervised Domain Adaptive Semantic Segmentation in Intelligent Vehicles.
IEEE Trans. Intell. Veh., February, 2024

Forehead or Headlights - At Which Height Should LiDARs be Mounted on the Vehicle?
IEEE Trans. Intell. Veh., January, 2024

SAM4UDASS: When SAM Meets Unsupervised Domain Adaptive Semantic Segmentation in Intelligent Vehicles.
CoRR, 2024

2023
Hy-Seg: A Hybrid Method for Ground Segmentation Using Point Clouds.
IEEE Trans. Intell. Veh., February, 2023

Threshold-Adaptive Unsupervised Focal Loss for Domain Adaptation of Semantic Segmentation.
IEEE Trans. Intell. Transp. Syst., January, 2023

LESS-Map: Lightweight and Evolving Semantic Map in Parking Lots for Long-term Self-Localization.
CoRR, 2023

Spatial-Temporal-Rule-based Traffic Movement Status Interpretation at Intersections.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2023

TTC4MCP: Monocular Collision Prediction Based on Self-Supervised TTC Estimation.
IROS, 2023

Sparse-E2VID: A Sparse Convolutional Model for Event-Based Video Reconstruction Trained with Real Event Noise.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Survey on Fish-Eye Cameras and Their Applications in Intelligent Vehicles.
IEEE Trans. Intell. Transp. Syst., 2022

Gated-Residual Block for Semantic Segmentation Using RGB-D Data.
IEEE Trans. Intell. Transp. Syst., 2022

Pedestrian Graph +: A Fast Pedestrian Crossing Prediction Model Based on Graph Convolutional Networks.
IEEE Trans. Intell. Transp. Syst., 2022

SUNet: Scale-aware Unified Network for Panoptic Segmentation.
CoRR, 2022

BAANet: Learning Bi-directional Adaptive Attention Gates for Multispectral Pedestrian Detection.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Adversarial Training-Based Hard Example Mining for Pedestrian Detection in Fish-Eye Images.
IEEE Trans. Intell. Transp. Syst., 2021

Neutral Cross-Entropy Loss Based Unsupervised Domain Adaptation for Semantic Segmentation.
IEEE Trans. Image Process., 2021

SPADE-E2VID: Spatially-Adaptive Denormalization for Event-Based Video Reconstruction.
IEEE Trans. Image Process., 2021

A Vision-based Pedestrian Comity Pre-Warning System.
Proceedings of the 2021 International Conference on Security, 2021

Topological Feature Based Object Matching for Traffic Light Detection Using Multi-view Camera System.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021

A Multi-Camera Vehicle Tracking System Based on City-Scale Vehicle Re-ID and Spatial-Temporal Information.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Oriented Spatial Transformer Network for Pedestrian Detection Using Fish-Eye Camera.
IEEE Trans. Multim., 2020

DLT-Net: Joint Detection of Drivable Areas, Lane Lines, and Traffic Objects.
IEEE Trans. Intell. Transp. Syst., 2020

Monocular pedestrian orientation estimation based on deep 2D-3D feedforward.
Pattern Recognit., 2020

G2P: a new descriptor for pedestrian detection.
Neural Comput. Appl., 2020

Map-Enhanced Ego-Lane Detection in the Missing Feature Scenarios.
IEEE Access, 2020

2019
Pedestrian Graph: Pedestrian Crossing Prediction Based on 2D Pose Estimation and Graph Convolutional Networks.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018
Pedestrian Feature Generation in Fish-Eye Images via Adversary.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
Joint Calibration of Panoramic Camera and Lidar Based on Supervised Learning.
CoRR, 2017

Self-adapting part-based pedestrian detection using a fish-eye camera.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

CNN based semantic segmentation for urban traffic scenes using fisheye camera.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017


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