William Harvey

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Artificial Intelligence — 15 citations into it
• Generative Models — 15 citations into it
• Statistical and Nonlinear Physics — 6 citations into it

Whom William Harvey trusts overall

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

1. Diederik P. Kingma
2. Jonathan Ho
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Alex Krizhevsky
6. Kaiming He
7. Alex Nichol
8. Jiaming Song
9. Yann LeCun
10. Yang Song

Who trusts William Harvey overall

1. Jo-Han Tseng
2. Shiwei Zhang
3. Jiuniu Wang
4. Boyuan Chen
5. Andreas Blattmann
6. Hanqun Cao
7. David Junhao Zhang
8. Xin Ma
9. Anthony Hu
10. Ling Yang

Papers from William Harvey's perspective

Ordered by how strongly the researchers William Harvey 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Flexible Diffusion Modeling of Long Videos (2022) — 371 citations