Tongyao Pang

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Media Technology — 9 citations into it

Whom Tongyao Pang trusts overall

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

1. Michael Elad
2. Geoffrey E. Hinton
3. Kai Zhang
4. Joshua D. Batson

Papers from Tongyao Pang's perspective

Ordered by how strongly the researchers Tongyao Pang 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. Dropout: a simple way to prevent neural networks from overfitting
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Going deeper with convolutions
9. ImageNet Large Scale Visual Recognition Challenge
10. ImageNet: A large-scale hierarchical image database

Their papers

• Self2Self With Dropout: Learning Self-Supervised Denoising From Single Image (2020) — 456 citations