Yeongjae Cheon

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it; #20,714 of 21,575 by trust here, #15,162 by citations
• Artificial Intelligence — 5 citations into it

Whom Yeongjae Cheon trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Sergey Ioffe
4. Christian Szegedy
5. Spyros Gidaris
6. Shaoqing Ren
7. X. Zhang
8. Geoffrey E. Hinton
9. Alex Krizhevsky
10. Sean Bell

Who trusts Yeongjae Cheon overall

1. Shangbang Long
2. Xiongwei Wu
3. Minghui Liao
4. Cong Yao
5. Sergey I. Nikolenko
6. Robert J. Wang

Papers from Yeongjae Cheon's perspective

Ordered by how strongly the researchers Yeongjae Cheon trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Going deeper with convolutions
3. ImageNet classification with deep convolutional neural networks
4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection (2016) — 218 citations