Runkai Zhao

Orcid: 0009-0001-4494-8894

According to our database1, Runkai Zhao authored at least 11 papers between 2023 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model.
CoRR, August, 2025

Stealthy Patch-Wise Backdoor Attack in 3D Point Cloud via Curvature Awareness.
CoRR, March, 2025

CA-W3D: Leveraging Context-Aware Knowledge for Weakly Supervised Monocular 3D Detection.
CoRR, March, 2025

Dineuro: Distilling Knowledge from 2D Natural Images via Deformable Tubular Transferring Strategy for 3D Neuron Reconstruction.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024
Unleashing the Potential of Mamba: Boosting a LiDAR 3D Sparse Detector by Using Cross-Model Knowledge Distillation.
CoRR, 2024

Future Does Matter: Boosting 3D Object Detection with Temporal Motion Estimation in Point Cloud Sequences.
CoRR, 2024

Boosting 3D Neuron Segmentation with 2D Vision Transformer Pre-trained on Natural Images.
CoRR, 2024

LaneCMKT: Boosting Monocular 3D Lane Detection with Cross-Modal Knowledge Transfer.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Advancements in 3D Lane Detection Using LiDAR Point Clouds: From Data Collection to Model Development.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Future Does Matter: Boosting 3D Object Detection with Temporal Motion Estimation in Point Cloud Sequences.
Proceedings of the 35th British Machine Vision Conference, 2024

2023
PointNeuron: 3D Neuron Reconstruction via Geometry and Topology Learning of Point Clouds.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023


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