Bee Lim

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 99 researchers and is trusted by 48 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 62 citations into it; #3,960 of 21,575 by trust here, #2,410 by citations
• Media Technology — 41 citations into it; #337 of 3,621 by trust here, #109 by citations
• Artificial Intelligence — 9 citations into it

Whom Bee Lim trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Chao Dong
4. Geoffrey E. Hinton
5. Christian Szegedy
6. Jianchao Yang
7. Alex Krizhevsky
8. Radu Timofte
9. Jimmy Ba
10. Sam T. Roweis

Who trusts Bee Lim overall

1. Kai Zhang
2. Radu Timofte
3. Yulun Zhang
4. Saeed Anwar
5. Andreas Lugmayr
6. Luc Van Gool
7. Jingyun Liang
8. Xintao Wang
9. Jinjin Gu
10. Namhyuk Ahn

Papers from Bee Lim's perspective

Ordered by how strongly the researchers Bee Lim 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. ImageNet Large Scale Visual Recognition Challenge
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Enhanced Deep Residual Networks for Single Image Super-Resolution (2017) — 7,355 citations
• NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results (2017) — 1,901 citations