Minsoo Lee

Computer Vision and Pattern Recognition · with Choi · 2021

A researcher in the Science corpus: 1 paper; trusts 123 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it
• Generative Models — 14 citations into it
• Media Technology — 6 citations into it

Whom Minsoo Lee trusts overall

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

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

Papers from Minsoo Lee's perspective

Ordered by how strongly the researchers Minsoo Lee 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization (2021) — 453 citations