Yu Tian

Artificial Intelligence · with Carneiro · 2021

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it
• Computer Networks and Communications — 11 citations into it
• Biomedical Engineering — 5 citations into it

Whom Yu Tian trusts overall

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

1. Diederik P. Kingma
2. Wei-Xin Li
3. Kaiming He
4. Ross B. Girshick
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Jimmy Ba
8. Fisher Yu
9. Weixin Luo
10. Radu Tudor Ionescu

Papers from Yu Tian's perspective

Ordered by how strongly the researchers Yu Tian 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. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning (2021) — 542 citations