Xin-Shun Xu

Computer Vision and Pattern Recognition · 2014–2021

A researcher in the Science corpus: 3 papers; trusts 147 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 52 citations into it
• Artificial Intelligence — 24 citations into it
• Information Retrieval & Search — 9 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Media Technology — 7 citations into it

Whom Xin-Shun Xu trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. L. Eon Bottou
5. Kaiming He
6. Ilya Sutskever
7. Diederik P. Kingma
8. Yann LeCun
9. Ruslan Salakhutdinov
10. Wei David Liu

Papers from Xin-Shun Xu's perspective

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

Their papers

• High-Dimensional Sparse Cross-Modal Hashing with Fine-Grained Similarity Embedding (2021) — 22 citations
• Neural Compatibility Modeling With Probabilistic Knowledge Distillation (2020) — 44 citations
• Optimized Cartesian K-Means (2014) — 121 citations