Yang Yang

Computer Vision and Pattern Recognition · with Chen · 2021

A researcher in the Science corpus: 1 paper; trusts 57 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it
• Media Technology — 13 citations into it
• Artificial Intelligence — 6 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Yang Yang trusts overall

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

1. Raanan Fattal
2. Anish Mittal
3. Robby T. Tan
4. Joseph Redmon
5. He Zhang
6. Zhizhong Li
7. Kaiming He
8. Geoffrey E. Hinton
9. Hossein Talebi
10. Alex Krizhevsky

Papers from Yang Yang's perspective

Ordered by how strongly the researchers Yang 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. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• PSD: Principled Synthetic-to-Real Dehazing Guided by Physical Priors (2021) — 354 citations