Jinnian Zhang

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 141 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 56 citations into it
• Artificial Intelligence — 43 citations into it
• Model Architectures — 18 citations into it

Whom Jinnian Zhang trusts overall

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

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

Papers from Jinnian Zhang's perspective

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

Their papers

• TinyViT: Fast Pretraining Distillation for Small Vision Transformers (2022) — 538 citations