Kuan-Chuan Peng

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 286 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it; #6,579 of 21,575 by trust here, #3,692 by citations
• Artificial Intelligence — 26 citations into it; #9,352 of 35,345 by trust here, #4,923 by citations
• Model Architectures — 6 citations into it

Whom Kuan-Chuan Peng trusts overall

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

1. Karen Simonyan
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Kaiming He
5. Ross B. Girshick
6. Andrew Zisserman
7. Yoshua Bengio
8. Yann LeCun
9. Diederik P. Kingma
10. Rob Fergus

Who trusts Kuan-Chuan Peng overall

1. Tyler L. Hayes
2. Ali Ayub
3. Gyuhak Kim
4. Arthur Douillard
5. Marc Masana
6. Christopher Kanan
7. Fei Zhu
8. Bartłomiej Twardowski
9. Alan R. Wagner
10. Xialei Liu

Papers from Kuan-Chuan Peng's perspective

Ordered by how strongly the researchers Kuan-Chuan Peng trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Learning Without Memorizing (2018) — 585 citations
• Tell Me Where to Look: Guided Attention Inference Network (2018) — 568 citations