Yicheng Qiao

Orcid: 0009-0008-3790-6400

According to our database1, Yicheng Qiao authored at least 12 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
CrossRay3D: Geometry and Distribution Guidance for Efficient Multimodal 3D Detection.
IEEE Trans. Intell. Transp. Syst., May, 2026

UV-M3TL: A Unified and Versatile Multimodal Multi-Task Learning Framework for Assistive Driving Perception.
CoRR, February, 2026

2025
IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation.
CoRR, November, 2025

UMD-Net: A Unified Multi-Task Assistive Driving Network Based on Multimodal Fusion.
IEEE Trans. Intell. Transp. Syst., August, 2025

TEM^3-Learning: Time-Efficient Multimodal Multi-Task Learning for Advanced Assistive Driving.
CoRR, June, 2025

MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception.
CoRR, April, 2025

DLAFNet: Direct LiDAR-Aerial Fusion Network for Semantic Segmentation of 2-D Aerial Image and 3-D LiDAR Point Cloud.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

SAMOccNet:Refined SAM-based surrounding semantic occupancy perception for autonomous driving.
Neurocomputing, 2025

TEM<sup>3</sup>-Learning: Time-Efficient Multimodal Multi-Task Learning for Advanced Assistive Driving.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
FMDNet: Feature-Attention-Embedding-Based Multimodal-Fusion Driving-Behavior-Classification Network.
IEEE Trans. Comput. Soc. Syst., October, 2024

2023
Dlafnet: A Direct Fusion Method of 2D Aerial Image and 3D Lidar Point Cloud for Semantic Segmentation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023


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