Yunsong Zhou

Orcid: 0000-0001-5101-331X

According to our database1, Yunsong Zhou authored at least 14 papers between 2019 and 2025.

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

Timeline

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Bibliography

2025
Exploiting Ground Depth Estimation for Mobile Monocular 3D Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2025

Decoupled Diffusion Sparks Adaptive Scene Generation.
CoRR, April, 2025

2024
SimGen: Simulator-conditioned Driving Scene Generation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Embodied Understanding of Driving Scenarios.
Proceedings of the Computer Vision - ECCV 2024, 2024

Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
APR: Online Distant Point Cloud Registration through Aggregated Point Cloud Reconstruction.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Density-invariant Features for Distant Point Cloud Registration.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MonoATT: Online Monocular 3D Object Detection with Adaptive Token Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
MonoEF: Extrinsic Parameter Free Monocular 3D Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

MoGDE: Boosting Mobile Monocular 3D Object Detection with Ground Depth Estimation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Monocular 3D Object Detection: An Extrinsic Parameter Free Approach.
CoRR, 2021

TempNet: Online Semantic Segmentation on Large-scale Point Cloud Series.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Monocular 3D Object Detection: An Extrinsic Parameter Free Approach.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019
On Geometric Structure of Activation Spaces in Neural Networks.
CoRR, 2019


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