Changhu Wang

Computer Vision and Pattern Recognition · with Chen · 2020

A researcher in the Science corpus: 1 paper; trusts 165 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Artificial Intelligence — 28 citations into it
• Multimodal Learning — 23 citations into it
• Natural Language Processing — 7 citations into it
• Model Architectures — 5 citations into it

Whom Changhu Wang trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Ross B. Girshick
4. Alex Krizhevsky
5. Yoshua Bengio
6. Shaoqing Ren
7. Diederik P. Kingma
8. Sepp Hochreiter
9. Yann LeCun
10. Ilya Sutskever

Papers from Changhu Wang's perspective

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

Their papers

• Learning the Best Pooling Strategy for Visual Semantic Embedding (2020) — 337 citations