Xin Kong

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it

Whom Xin Kong trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Kaiming He

Papers from Xin Kong's perspective

Ordered by how strongly the researchers Xin Kong 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Distilling the Knowledge in a Neural Network (arXiv.org)
5. Gradient-based learning applied to document recognition
6. ImageNet Large Scale Visual Recognition Challenge
7. ImageNet: A large-scale hierarchical image database
8. Densely Connected Convolutional Networks
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation (2020) — 350 citations