Byungseok Roh

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; #20,716 of 21,575 by trust here, #15,162 by citations
• Artificial Intelligence — 5 citations into it

Whom Byungseok Roh trusts overall

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

1. Kaiming He
2. Ross B. Girshick

Who trusts Byungseok Roh overall

1. Cong Yao

Papers from Byungseok Roh's perspective

Ordered by how strongly the researchers Byungseok Roh 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. Fast R-CNN
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Hypercolumns for object segmentation and fine-grained localization
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

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