Dongjun Shin

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it; #19,873 of 21,575 by trust here, #5,507 by citations
• Artificial Intelligence — 15 citations into it
• Model Architectures — 7 citations into it
• Computational Mechanics — 5 citations into it

Whom Dongjun Shin trusts overall

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

1. Kaiming He
2. X. Zhang
3. Song Han
4. Geoffrey E. Hinton
5. Christian Szegedy

Who trusts Dongjun Shin overall

1. Tien-Ju Yang
2. Vivienne Sze

Papers from Dongjun Shin's perspective

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

1. Going deeper with convolutions
2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications (2015) — 949 citations