Jiangxin Dong

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Artificial Intelligence — 8 citations into it
• Model Architectures — 6 citations into it

Whom Jiangxin Dong trusts overall

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

1. Diederik P. Kingma
2. Noam Shazeer
3. Syed Waqas Zamir
4. Geoffrey E. Hinton
5. Kaiming He
6. Jimmy Ba
7. Alex Krizhevsky
8. Yoshua Bengio
9. Ross B. Girshick
10. Jaesung Rim

Papers from Jiangxin Dong's perspective

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

Their papers

• Efficient Frequency Domain-based Transformers for High-Quality Image Deblurring (2022) — 374 citations