Tianhan Wei

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 66 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it; #20,193 of 21,575 by trust here, #15,529 by citations
• Artificial Intelligence — 18 citations into it; #33,039 of 35,345 by trust here, #23,731 by citations

Whom Tianhan Wei trusts overall

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

1. Kaiming He
2. Jia Deng
3. Li Fei-Fei
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Karen Simonyan
7. Ross B. Girshick
8. Evan Shelhamer
9. Diederik P. Kingma
10. Andrew Zisserman

Who trusts Tianhan Wei overall

1. Ho Kei Cheng
2. Boyi Li
3. Haochen Wang
4. Lei Ke
5. Renrui Zhang
6. Yu-Wing Tai
7. Alexander Gerhard Schwing
8. Chi-Keung Tang

Papers from Tianhan Wei's perspective

Ordered by how strongly the researchers Tianhan Wei 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
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. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation (2019) — 325 citations