Bob Price

Computer Vision and Pattern Recognition · with Bala · 2020

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it; #13,468 of 21,575 by trust here, #10,010 by citations
• Generative Models — 17 citations into it; #1,257 of 1,956 by trust here, #1,134 by citations

Whom Bob Price trusts overall

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

1. Tero Karras
2. Individualized Treat
3. Geoffrey E. Hinton

Who trusts Bob Price overall

1. Yuval Alaluf
2. Justin N. M. Pinkney

Papers from Bob Price's perspective

Ordered by how strongly the researchers Bob Price trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. GENERATIVE ADVERSARIAL NETS
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet Large Scale Visual Recognition Challenge
7. Going deeper with convolutions
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Editing in Style: Uncovering the Local Semantics of GANs (2020) — 297 citations