Jun Long

Computer Vision and Pattern Recognition · with Cui · 2018

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Artificial Intelligence — 23 citations into it
• Model Architectures — 7 citations into it

Whom Jun Long trusts overall

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

1. Geoffrey E. Hinton
2. J. Urgen Schmidhuber
3. L. Eon Bottou

Papers from Jun Long's perspective

Ordered by how strongly the researchers Jun Long 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: A large-scale hierarchical image database
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Rethinking the Inception Architecture for Computer Vision
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• A Survey of Clustering With Deep Learning: From the Perspective of Network Architecture (2018) — 507 citations