Jie Min

Computer Vision and Pattern Recognition · with Han · 2020

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it
• Artificial Intelligence — 7 citations into it

Whom Jie Min trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Sergey Ioffe
5. Ross B. Girshick
6. Alex Krizhevsky
7. Shaoqing Ren
8. Christian Szegedy
9. Yoshua Bengio
10. Jimmy Ba

Papers from Jie Min's perspective

Ordered by how strongly the researchers Jie Min 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Learning Object Placement by Inpainting for Compositional Data Augmentation (2020) — 79 citations