James She

Computer Vision and Pattern Recognition · with Cetinic · 2021

A researcher in the Science corpus: 1 paper; trusts 79 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it
• Generative Models — 10 citations into it
• Computer Graphics and Computer-Aided Design — 6 citations into it
• Cognitive Neuroscience — 5 citations into it

Whom James She trusts overall

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

1. Alexei A. Efros
2. Jia Deng
3. Ahmed M. Elgammal
4. Aaron Hertzmann
5. Geoffrey E. Hinton
6. Ross B. Girshick
7. Alec Radford
8. Alex Krizhevsky
9. William T. Freeman
10. Kaiming He

Papers from James She's perspective

Ordered by how strongly the researchers James She 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Understanding and Creating Art with AI: Review and Outlook (2021) — 491 citations