Yanxin Ma

Computer Vision and Pattern Recognition · 2014–2022

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it
• Aerospace Engineering — 35 citations into it
• Computational Mechanics — 21 citations into it
• 3D Vision & Pose — 6 citations into it

Whom Yanxin Ma trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. David G. Lowe
2. Ajmal Saeed Mian
3. Yu Zhong
4. Mohammed Bennamoun

Papers from Yanxin Ma's perspective

Ordered by how strongly the researchers Yanxin Ma trusts endorse each paper. Same corpus, a different order for every researcher.

1. Distinctive Image Features from Scale-Invariant Keypoints
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Going deeper with convolutions
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds (2022) — 365 citations
• Recognizing Objects in 3D Point Clouds with Multi-Scale Local Features (2014) — 27 citations