Wei-Hong Chuang

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 272 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 87 citations into it
• Artificial Intelligence — 61 citations into it
• Model Architectures — 17 citations into it
• Signal Processing — 13 citations into it
• Multimodal Learning — 10 citations into it
• Large Language Models — 6 citations into it

Whom Wei-Hong Chuang trusts overall

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

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

Who trusts Wei-Hong Chuang overall

1. Xiangning Chen
2. Sara Atito Ali Ahmed
3. Jue Wang
4. Roman Bachmann

Papers from Wei-Hong Chuang's perspective

Ordered by how strongly the researchers Wei-Hong Chuang 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. 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. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text (2021) — 756 citations