Hongje Seong

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 328 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 — 19 citations into it
• Model Architectures — 10 citations into it
• Evaluation & Benchmarks — 7 citations into it
• Optimization & Training — 6 citations into it

Whom Hongje Seong trusts overall

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

1. Karen Simonyan
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Andrew Zisserman
6. Ross B. Girshick
7. Ilya Sutskever
8. Sergey Ioffe
9. Yoshua Bengio
10. Christian Szegedy

Who trusts Hongje Seong overall

1. Kai Han

Papers from Hongje Seong's perspective

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

Their papers

• Video Multitask Transformer Network (2019) — 28 citations