Yeqiang Qian

According to our database1, Yeqiang Qian authored at least 12 papers between 2017 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

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

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

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
G2P: A new descriptor for pedestrian detection.
Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 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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