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20112024
most citedOff-grid Direction of Arrival Estimation Using Sparse Bayesian Inference

977 citations · 5.1k across the 105 of their papers we have counts for

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7 papers · 1 filter

cs.CV2021★ 5 cited

Self-Point-Flow: Self-Supervised Scene Flow Estimation from Point Clouds with Optimal Transport and Random Walk

Ruibo Li, Guosheng Lin, Lihua Xie

Due to the scarcity of annotated scene flow data, self-supervised scene flow learning in point clouds has attracted increasing attention. In the self-supervised manner, establishin…

cs.CV2020★ 18 cited

Online Visual Place Recognition via Saliency Re-identification

Han Wang, Chen Wang, Lihua Xie

As an essential component of visual simultaneous localization and mapping (SLAM), place recognition is crucial for robot navigation and autonomous driving. Existing methods often f…

cs.CV2020★ 15 cited

Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds

Jiacheng Wei, Guosheng Lin, Kim-Hui Yap +2

Point clouds provide intrinsic geometric information and surface context for scene understanding. Existing methods for point cloud segmentation require a large amount of fully labe…

cs.CV2020★ 3 cited

Fast Loop Closure Detection via Binary Content

Han Wang, Juncheng Li, Maopeng Ran +1

Loop closure detection plays an important role in reducing localization drift in Simultaneous Localization And Mapping (SLAM). It aims to find repetitive scenes from historical dat…

cs.CV2019★ 48 cited

Kervolutional Neural Networks

Chen Wang, Jianfei Yang, Lihua Xie +1

Convolutional neural networks (CNNs) have enabled the state-of-the-art performance in many computer vision tasks. However, little effort has been devoted to establishing convolutio…

cs.CV2017★ 1 cited

Kernel Cross-Correlator

Chen Wang, Le Zhang, Lihua Xie +1

Cross-correlator plays a significant role in many visual perception tasks, such as object detection and tracking. Beyond the linear cross-correlator, this paper proposes a kernel c…

cs.CV2013★ 4 cited

Sparse MRI for motion correction

Zai Yang, Cishen Zhang, Lihua Xie

MR image sparsity/compressibility has been widely exploited for imaging acceleration with the development of compressed sensing. A sparsity-based approach to rigid-body motion corr…