Junpei Zhou

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 53 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it
• Generative Models — 21 citations into it; #1,118 of 1,956 by trust here, #1,435 by citations
• Artificial Intelligence — 16 citations into it
• Probabilistic & Bayesian Methods — 14 citations into it
• Optimization & Training — 6 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Junpei Zhou trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Radford M. Neal
5. Yoshua Bengio
6. Yann LeCun
7. Tijmen Tieleman
8. Ilya Sutskever
9. Max Welling
10. Ruslan Salakhutdinov

Who trusts Junpei Zhou overall

1. Erik Nijkamp
2. Yilun Du
3. Fredrik K. Gustafsson
4. Yuntian Deng
5. Anton Bakhtin

Papers from Junpei Zhou's perspective

Ordered by how strongly the researchers Junpei Zhou 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. Gradient-based learning applied to document recognition
4. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Learning Generative ConvNets via Multi-grid Modeling and Sampling (2017) — 82 citations