Shueng-Han Gary Chan

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 82 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 51 citations into it
• Artificial Intelligence — 39 citations into it
• Model Architectures — 24 citations into it
• Efficiency & Compression — 15 citations into it
• Optimization & Training — 12 citations into it

Whom Shueng-Han Gary Chan trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Christian Szegedy
5. Quoc V. Le
6. Sergey Ioffe
7. Yoshua Bengio

Papers from Shueng-Han Gary Chan's perspective

Ordered by how strongly the researchers Shueng-Han Gary Chan 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. ImageNet Large Scale Visual Recognition Challenge
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Distilling the Knowledge in a Neural Network (arXiv.org)
9. Microsoft COCO: Common Objects in Context
10. Long Short-Term Memory

Their papers

• Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks (2023) — 1,893 citations