Eun-Sol 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 Eun-Sol 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

Papers from Eun-Sol Kim's perspective

Ordered by how strongly the researchers Eun-Sol 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Going deeper with convolutions
8. ImageNet: A large-scale hierarchical image database
9. Understanding the difficulty of training deep feedforward neural networks
10. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Their papers

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