Xiang Zhi

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 73 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it
• Artificial Intelligence — 25 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Xiang Zhi trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Christian Szegedy
5. Ross B. Girshick
6. Shaoqing Ren
7. Yoshua Bengio
8. Jia Deng
9. Ian J. Goodfellow
10. Yann LeCun

Papers from Xiang Zhi's perspective

Ordered by how strongly the researchers Xiang Zhi 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. ImageNet classification with deep convolutional neural networks
3. ImageNet: A large-scale hierarchical image database
4. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Microsoft COCO: Common Objects in Context

Their papers

• MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition (2022) — 82 citations