Zhuotun Zhu

Computer Vision and Pattern Recognition · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 352 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 81 citations into it
• Artificial Intelligence — 53 citations into it
• Representation & Self-Supervised Learning — 19 citations into it
• Model Architectures — 14 citations into it
• Evaluation & Benchmarks — 9 citations into it
• Optimization & Training — 8 citations into it
• Media Technology — 6 citations into it

Whom Zhuotun Zhu trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Kaiming He
4. Ross B. Girshick
5. Ilya Sutskever
6. Shaoqing Ren
7. David G. Lowe
8. Karen Simonyan
9. Yann LeCun
10. Andrew Zisserman

Who trusts Zhuotun Zhu overall

1. Alan L. Yuille

Papers from Zhuotun Zhu's perspective

Ordered by how strongly the researchers Zhuotun Zhu 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Object Recognition with and without Objects (2016) — 89 citations
• Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation (2020) — 273 citations