Weike Jin

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 77 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it
• Artificial Intelligence — 25 citations into it
• Model Architectures — 5 citations into it

Whom Weike Jin trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Geoffrey E. Hinton
4. Ross B. Girshick
5. Shaoqing Ren
6. Alex Krizhevsky
7. Yoshua Bengio
8. Andrew Zisserman
9. Diederik P. Kingma
10. Ilya Sutskever

Who trusts Weike Jin overall

1. Junbin Xiao

Papers from Weike Jin's perspective

Ordered by how strongly the researchers Weike Jin 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
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

• Multi-interaction Network with Object Relation for Video Question Answering (2019) — 60 citations