Miran Heo

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 163 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Artificial Intelligence — 16 citations into it
• Model Architectures — 10 citations into it

Whom Miran Heo trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Tsung-Yi Lin
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Yoshua Bengio
7. Piotr Doll'ar
8. Yann LeCun
9. Diederik P. Kingma
10. Karen Simonyan

Papers from Miran Heo's perspective

Ordered by how strongly the researchers Miran Heo 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. 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. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Video Instance Segmentation using Inter-Frame Communication Transformers (2021) — 167 citations