J. Shue

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 60 citations into it
• Generative Models — 28 citations into it

Whom J. Shue trusts overall

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

1. Aäron van den Oord
2. Jonathan Ho
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Yoshua Bengio
7. Kaiming He
8. Vincent Sitzmann
9. Oriol Vinyals
10. Ali Razavi

Who trusts J. Shue overall

1. Biao Zhang
2. Rui Chen
3. Yichun Shi
4. Peng Wang
5. Yawar Siddiqui

Papers from J. Shue's perspective

Ordered by how strongly the researchers J. Shue 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. GENERATIVE ADVERSARIAL NETS
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• 3D Neural Field Generation Using Triplane Diffusion (2022) — 336 citations