Sanghoon Hong

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; #20,712 of 21,575 by trust here, #15,162 by citations
• Artificial Intelligence — 5 citations into it

Whom Sanghoon Hong 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

Who trusts Sanghoon Hong overall

1. Cong Yao

Papers from Sanghoon Hong's perspective

Ordered by how strongly the researchers Sanghoon Hong 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Fast R-CNN
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Long Short-Term Memory
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

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