Junhao Zhang

Computer Vision and Pattern Recognition · with Li · 2022

A researcher in the Science corpus: 1 paper; trusts 199 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 97 citations into it
• Artificial Intelligence — 57 citations into it
• Model Architectures — 38 citations into it
• Optimization & Training — 10 citations into it

Whom Junhao Zhang trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Ross B. Girshick
4. Geoffrey E. Hinton
5. Karen Simonyan
6. Ilya Sutskever
7. Yoshua Bengio
8. Yann LeCun
9. Andrew Zisserman
10. Christian Szegedy

Papers from Junhao Zhang's perspective

Ordered by how strongly the researchers Junhao Zhang 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• UniFormer: Unifying Convolution and Self-Attention for Visual Recognition (2022) — 610 citations