Kangjian Peng

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 129 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 44 citations into it
• Artificial Intelligence — 30 citations into it
• Model Architectures — 14 citations into it
• Optimization & Training — 6 citations into it

Whom Kangjian Peng trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Ross B. Girshick
5. Christian Szegedy
6. Karen Simonyan
7. Liang-Chieh Chen
8. Barret Zoph
9. Ilya Sutskever
10. Yoshua Bengio

Papers from Kangjian Peng's perspective

Ordered by how strongly the researchers Kangjian 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Fast Neural Network Adaptation via Parameter Remapping and Architecture Search (2020) — 36 citations