Hyunjun Jang

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 137 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it
• Artificial Intelligence — 14 citations into it

Whom Hyunjun Jang trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Shaoqing Ren
4. Kai Chen
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Tsung-Yi Lin
8. Yann LeCun
9. Piotr Doll'ar
10. Yoshua Bengio

Who trusts Hyunjun Jang overall

1. Xingyi Zhou
2. Dahun Kim

Papers from Hyunjun Jang's perspective

Ordered by how strongly the researchers Hyunjun Jang 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
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

• Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution (2019) — 209 citations