Adrian S. Wong

Computer Vision and Pattern Recognition · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 109 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 130 citations into it
• Artificial Intelligence — 125 citations into it
• Reinforcement Learning — 31 citations into it

Whom Adrian S. Wong trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Yoshua Bengio
4. Ilya Sutskever
5. Alex Krizhevsky
6. Diederik P. Kingma
7. Yann LeCun
8. Ross B. Girshick
9. Andrew Zisserman
10. Karen Simonyan

Papers from Adrian S. Wong's perspective

Ordered by how strongly the researchers Adrian S. Wong 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language (2022) — 742 citations
• Implicit Behavioral Cloning (2021) — 679 citations