Search Results for author: Deren Li

Found 7 papers, 2 papers with code

CG-SSD: Corner Guided Single Stage 3D Object Detection from LiDAR Point Cloud

1 code implementation24 Feb 2022 Ruiqi Ma, Chi Chen, Bisheng Yang, Deren Li, Haiping Wang, Yangzi Cong, Zongtian Hu

At present, the anchor-based or anchor-free models that use LiDAR point clouds for 3D object detection use the center assigner strategy to infer the 3D bounding boxes.

3D Object Detection

Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling

no code implementations6 Jan 2022 Yang Long, Gui-Song Xia, Liangpei Zhang, Gong Cheng, Deren Li

Finally, we perform ASP by unifying the tile-level scene classification and object-based image analysis to achieve pixel-wise semantic labeling.

Aerial Scene Classification Classification +3

Spatio-temporal-spectral-angular observation model that integrates observations from UAV and mobile mapping vehicle for better urban mapping

no code implementations24 Aug 2021 Zhenfeng Shao, Gui Cheng, Deren Li, Xiao Huang, Zhipeng Lu, Jian Liu

The integrated results combined both the characteristic of UAV and mobile mapping vehicle point cloud, confirming the practicability of the proposed joint data acquisition platform and the effectiveness of spatio-temporal-spectral-angular observation model.

Signal Acquisition of Luojia-1A Low Earth Orbit Navigation Augmentation System with Software Defined Receiver

no code implementations31 May 2021 Liang Chen, Xiangchen Lu, Nan Shen, Lei Wang, Yuan Zhuang, Ye Su, Deren Li, Ruizhi Chen

The performance of those integration algorithms on expanding the successful acquisition time range is verified by the real data collected from the Luojia-1A satellite.

On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances and Million-AID

no code implementations22 Jun 2020 Yang Long, Gui-Song Xia, Shengyang Li, Wen Yang, Michael Ying Yang, Xiao Xiang Zhu, Liangpei Zhang, Deren Li

After reviewing existing benchmark datasets in the research community of RS image interpretation, this article discusses the problem of how to efficiently prepare a suitable benchmark dataset for RS image interpretation.

General Classification Image Classification +1

Video Anomaly Detection and Localization via Gaussian Mixture Fully Convolutional Variational Autoencoder

no code implementations29 May 2018 Yaxiang Fan, Gongjian Wen, Deren Li, Shaohua Qiu, Martin D. Levine

The method is based on Gaussian Mixture Variational Autoencoder, which can learn feature representations of the normal samples as a Gaussian Mixture Model trained using deep learning.

Anomaly Detection

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