Search Results for author: Yunsong Zhou

Found 9 papers, 4 papers with code

Embodied Understanding of Driving Scenarios

1 code implementation7 Mar 2024 Yunsong Zhou, Linyan Huang, Qingwen Bu, Jia Zeng, Tianyu Li, Hang Qiu, Hongzi Zhu, Minyi Guo, Yu Qiao, Hongyang Li

Hereby, we introduce the Embodied Language Model (ELM), a comprehensive framework tailored for agents' understanding of driving scenes with large spatial and temporal spans.

Autonomous Driving Language Modelling +1

Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension

1 code implementation6 Mar 2024 Quan Liu, Hongzi Zhu, Zhenxi Wang, Yunsong Zhou, Shan Chang, Minyi Guo

Registration of point clouds collected from a pair of distant vehicles provides a comprehensive and accurate 3D view of the driving scenario, which is vital for driving safety related applications, yet existing literature suffers from the expensive pose label acquisition and the deficiency to generalize to new data distributions.

Point Cloud Registration

Density-invariant Features for Distant Point Cloud Registration

2 code implementations ICCV 2023 Quan Liu, Hongzi Zhu, Yunsong Zhou, Hongyang Li, Shan Chang, Minyi Guo

Registration of distant outdoor LiDAR point clouds is crucial to extending the 3D vision of collaborative autonomous vehicles, and yet is challenging due to small overlapping area and a huge disparity between observed point densities.

Autonomous Vehicles Contrastive Learning +1

MoGDE: Boosting Mobile Monocular 3D Object Detection with Ground Depth Estimation

no code implementations23 Mar 2023 Yunsong Zhou, Quan Liu, Hongzi Zhu, Yunzhe Li, Shan Chang, Minyi Guo

To this end, we utilize a pose detection network to estimate the pose of the camera and then construct a feature map portraying pixel-level ground depth according to the 3D-to-2D perspective geometry.

Depth Estimation Monocular 3D Object Detection +1

Monocular 3D Object Detection: An Extrinsic Parameter Free Approach

no code implementations CVPR 2021 Yunsong Zhou, Yuan He, Hongzi Zhu, Cheng Wang, Hongyang Li, Qinhong Jiang

Due to the lack of insight in industrial application, existing methods on open datasets neglect the camera pose information, which inevitably results in the detector being susceptible to camera extrinsic parameters.

Ranked #9 on Monocular 3D Object Detection on KITTI Cars Moderate (using extra training data)

Autonomous Driving Monocular 3D Object Detection +2

TempNet: Online Semantic Segmentation on Large-Scale Point Cloud Series

no code implementations ICCV 2021 Yunsong Zhou, Hongzi Zhu, Chunqin Li, Tiankai Cui, Shan Chang, Minyi Guo

In this paper, we propose a light-weight semantic segmentation framework for large-scale point cloud series, called TempNet, which can improve both the accuracy and the stability of existing semantic segmentation models by combining a novel frame aggregation scheme.

Autonomous Driving Point Cloud Segmentation +4

On Geometric Structure of Activation Spaces in Neural Networks

no code implementations2 Apr 2019 Yuting Jia, Haiwen Wang, Shuo Shao, Huan Long, Yunsong Zhou, Xinbing Wang

Based on this new algorithm, four common geometric properties shared by the activation spaces are concluded, which gives a rather clear description of the activation spaces.

General Classification

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