Kai Ma

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 254 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 68 citations into it; #17,631 of 21,575 by trust here, #16,367 by citations
• Artificial Intelligence — 39 citations into it
• Model Architectures — 9 citations into it
• Optimization & Training — 5 citations into it

Whom Kai Ma trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Ilya Sutskever
6. Ross B. Girshick
7. Yoshua Bengio
8. Jimmy Ba
9. Yann LeCun
10. Karen Simonyan

Who trusts Kai Ma overall

1. Shaoting Zhang

Papers from Kai Ma's perspective

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

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

Their papers

• Med3D: Transfer Learning for 3D Medical Image Analysis (2019) — 681 citations
• Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation (2020) — 34 citations
• Uncertainty-aware domain alignment for anatomical structure segmentation (2020) — 60 citations