Bumsoo Kim

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it

Whom Bumsoo Kim trusts overall

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

1. Xavier Glorot
2. Ross B. Girshick
3. Saurabh Gupta
4. Yoshua Bengio
5. Kaiming He
6. Jitendra Malik
7. Georgia Gkioxari
8. Geoffrey E. Hinton
9. Alex Krizhevsky
10. Shaoqing Ren

Who trusts Bumsoo Kim overall

1. Mengyang Pu
2. Zizhao Zhang
3. Yaping Huang

Papers from Bumsoo Kim's perspective

Ordered by how strongly the researchers Bumsoo Kim 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. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• HOTR: End-to-End Human-Object Interaction Detection with Transformers (2021) — 345 citations