Casey Chu

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 46 researchers and is trusted by 280 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it; #2,413 of 21,575 by trust here, #1,654 by citations
• Generative Models — 34 citations into it; #504 of 1,956 by trust here, #195 by citations
• Statistical and Nonlinear Physics — 7 citations into it

Whom Casey Chu trusts overall

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

1. Jonathan Ho
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yoshua Bengio
6. Kaiming He
7. Ilya Sutskever
8. Graeme D. Ruxton
9. Yang Song
10. Yann LeCun

Who trusts Casey Chu overall

1. William S. Peebles
2. Gaurav Menghani
3. Calvin Luo
4. Irene Solaiman

Papers from Casey Chu's perspective

Ordered by how strongly the researchers Casey Chu 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Hierarchical Text-Conditional Image Generation with CLIP Latents (2022) — 9,210 citations