Yuseok Bae

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it; #14,709 of 21,575 by trust here, #15,162 by citations
• Efficiency & Compression — 7 citations into it

Whom Yuseok Bae trusts overall

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

1. Kaiming He
2. Ross B. Girshick

Who trusts Yuseok Bae overall

1. Chien-Yao Wang

Papers from Yuseok Bae's perspective

Ordered by how strongly the researchers Yuseok Bae 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Microsoft COCO: Common Objects in Context
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Densely Connected Convolutional Networks
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection (2019) — 502 citations