Justin N. M. Pinkney

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it
• Generative Models — 8 citations into it; #865 of 1,956 by trust here, #1,681 by citations

Whom Justin N. M. Pinkney trusts overall

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

1. Tero Karras
2. Aviv Gabbay
3. Rameen Abdal
4. Samuli Laine
5. Stanislav Fort
6. Edo Collins
7. Elad Richardson
8. Xintao Wang
9. Yedid Hoshen
10. Diederik P. Kingma

Who trusts Justin N. M. Pinkney overall

1. Kathleen M. Lewis
2. Zongze Wu
3. Rinon Gal
4. Can Wang
5. Yuval Alaluf
6. Or Patashnik
7. Srivatsan Varadharajan
8. Yotam Nitzan
9. Menglei Chai
10. Eli Shechtman

Papers from Justin N. M. Pinkney's perspective

Ordered by how strongly the researchers Justin N. M. Pinkney 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. GENERATIVE ADVERSARIAL NETS
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Going deeper with convolutions
10. Gradient-based learning applied to document recognition

Their papers

• Resolution Dependent GAN Interpolation for Controllable Image Synthesis Between Domains (2020) — 154 citations