Tyler A. Chang

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 259 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 48 citations into it; #20,971 of 21,575 by trust here, #9,187 by citations
• Artificial Intelligence — 31 citations into it; #34,541 of 35,345 by trust here, #13,353 by citations
• Model Architectures — 23 citations into it
• Optimization & Training — 6 citations into it

Whom Tyler A. Chang trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Ross B. Girshick
4. Geoffrey E. Hinton
5. Christian Szegedy
6. Yann LeCun
7. Yoshua Bengio
8. Tsung-Yi Lin
9. Karen Simonyan
10. Diederik P. Kingma

Who trusts Tyler A. Chang overall

1. Zhen Wang

Papers from Tyler A. Chang's perspective

Ordered by how strongly the researchers Tyler A. Chang 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. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Going deeper with convolutions
9. ImageNet Large Scale Visual Recognition Challenge
10. Long Short-Term Memory

Their papers

• Co-Scale Conv-Attentional Image Transformers (2021) — 466 citations