Lingni Ma

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 92 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it; #15,825 of 21,575 by trust here, #5,711 by citations
• Artificial Intelligence — 14 citations into it
• Aerospace Engineering — 13 citations into it; #4,284 of 6,421 by trust here, #865 by citations
• Model Architectures — 5 citations into it

Whom Lingni Ma trusts overall

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

1. Geoffrey E. Hinton
2. L. Eon Bottou
3. Alex Krizhevsky
4. Karen Simonyan
5. Yann LeCun
6. Ross B. Girshick
7. Sergey Ioffe
8. Ilya Sutskever
9. Andrew Zisserman
10. Kaiming He

Who trusts Lingni Ma overall

1. Yuxiang Sun
2. H. Wang
3. Seungyong Lee
4. Ming Liu
5. Hengli Wang
6. Alexandre Boulch
7. Xianping Ma
8. Yang Hu
9. Alberto Garcia-Garcia
10. Lin-Zhuo Chen

Papers from Lingni Ma's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. ImageNet Large Scale Visual Recognition Challenge
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• The Replica Dataset: A Digital Replica of Indoor Spaces (2019) — 1,356 citations
• FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-Based CNN Architecture (2016) — 865 citations