Xin Luo

Computer Vision and Pattern Recognition · with Chen · 2021

A researcher in the Science corpus: 1 paper; trusts 28 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 Luo trusts overall

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

1. Wei David Liu
2. Yunchao Gong
3. Guiguang Ding
4. Mark J. Huiskes
5. Wei Dong

Papers from Xin Luo's perspective

Ordered by how strongly the researchers Xin Luo 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. Gradient-based learning applied to document recognition
5. Going deeper with convolutions
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• High-Dimensional Sparse Cross-Modal Hashing with Fine-Grained Similarity Embedding (2021) — 22 citations