Standout Papers

Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds 2022 2026 2023 2024173
  1. Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds (2022)
    Yifan Zhang, Qingyong Hu et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Immediate Impact

70 standout
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Citing Papers

Multi-scale dynamic graph mutual information network for planet bearing health monitoring under imbalanced data
2025 Standout
Automatic three-dimensional reconstruction of transparent objects with multiple optimization strategies under limited constraints
2025 Standout
1 intermediate paper

Works of Yanxin Ma being referenced

Recognizing Objects in 3D Point Clouds with Multi-Scale Local Features
2014

Author Peers

Author Last Decade Papers Cites
Yanxin Ma 90 231 95 146 28 389
Xiang Gao 53 263 90 123 41 448
Hamza Alkhatib 34 64 168 87 47 393
Federico Pedersini 40 144 41 145 36 363
Yi Wei 77 264 52 42 24 386
Andrew Calway 13 319 58 199 52 455
Feng Su 24 122 37 139 41 383
Agustín Trujillo 49 132 68 47 28 383
El Mustapha Mouaddib 31 315 99 108 32 440
Juan Du 28 165 44 97 15 368
Sihua Fu 44 246 19 134 32 384

All Works

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2026