Mengtian Li

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 242 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Artificial Intelligence — 38 citations into it
• Optimization & Training — 29 citations into it
• Model Architectures — 16 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Mengtian Li trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Ross B. Girshick
6. Matthew D. Zeiler
7. Andrew Zisserman
8. Yoshua Bengio
9. Karen Simonyan
10. Yann LeCun

Papers from Mengtian Li's perspective

Ordered by how strongly the researchers Mengtian Li 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. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints (2019) — 61 citations