Keren Fu

Computer Vision and Pattern Recognition · 2014–2020

A researcher in the Science corpus: 3 papers; trusts 265 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 62 citations into it; #15,422 of 21,575 by trust here, #14,478 by citations
• Artificial Intelligence — 16 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Cognitive Neuroscience — 11 citations into it
• Model Architectures — 6 citations into it
• Human-Computer Interaction — 5 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Keren Fu trusts overall

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

1. Kaiming He
2. Deng-Ping Fan
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Ming-Ming Cheng
7. Ross B. Girshick
8. Andrew Zisserman
9. Wenguan Wang
10. Christian Szegedy

Who trusts Keren Fu overall

1. Deng-Ping Fan
2. Tao Zhou
3. Ge-Peng Ji
4. Ming-Ming Cheng
5. Ling Shao
6. Jianbing Shen

Papers from Keren Fu's perspective

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

Their papers

• JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection (2020) — 309 citations
• Deformed Graph Laplacian for Semisupervised Learning (2015) — 124 citations
• Signed Laplacian Embedding for Supervised Dimension Reduction (2014) — 17 citations