Jungang Yang

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 2 papers; trusts 171 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it
• Media Technology — 26 citations into it
• Representation & Self-Supervised Learning — 14 citations into it
• Computational Mechanics — 10 citations into it
• Aerospace Engineering — 5 citations into it

Whom Jungang Yang trusts overall

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

1. Rick Chartrand
2. Geoffrey E. Hinton
3. Kaiming He
4. E.J. Candes
5. Shuhang Gu
6. Alex Krizhevsky
7. Yimian Dai
8. Diederik P. Kingma
9. Yann LeCun
10. Yoshua Bengio

Who trusts Jungang Yang overall

1. Mingjin Zhang

Papers from Jungang Yang's perspective

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

Their papers

• Unsupervised Degradation Representation Learning for Blind Super-Resolution (2021) — 403 citations
• Infrared Dim and Small Target Detection via Multiple Subspace Learning and Spatial-Temporal Patch-Tensor Model (2021) — 306 citations