Kun Xia

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it; #17,231 of 21,575 by trust here, #19,310 by citations
• Artificial Intelligence — 10 citations into it

Whom Kun Xia trusts overall

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

1. Diederik P. Kingma
2. Xiaodong Yang
3. Youngwook Kim
4. Koji Yatani
5. Yoshua Bengio
6. Nils Y. Hammerla
7. Jimmy Ba
8. Jun Liu
9. Jorge Luis Reyes-Ortiz
10. Geoffrey E. Hinton

Who trusts Kun Xia overall

1. Elangovan Ramanujam
2. Thinagaran Perumal

Papers from Kun Xia's perspective

Ordered by how strongly the researchers Kun Xia trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• LSTM-CNN Architecture for Human Activity Recognition (2020) — 675 citations