Wei Hua

Computer Vision and Pattern Recognition · with Fei-Fei · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 441 researchers and is trusted by 369 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 139 citations into it; #2,158 of 21,575 by trust here, #1,439 by citations
• Artificial Intelligence — 112 citations into it; #10,344 of 35,345 by trust here, #2,723 by citations
• Model Architectures — 53 citations into it; #537 of 2,278 by trust here, #213 by citations
• Neural Architecture Search & AutoML — 31 citations into it
• Optimization & Training — 26 citations into it
• Reinforcement Learning — 7 citations into it

Whom Wei Hua trusts overall

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

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

Who trusts Wei Hua overall

1. Xuanyi Dong
2. Martin Wistuba
3. Quoc V. Le
4. Yukang Chen
5. Hang Xu
6. Ekin Dogus Cubuk
7. Barret Zoph
8. Xinyu Gong
9. Xinbang Zhang
10. Wuyang Chen

Papers from Wei Hua's perspective

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

Their papers

• Progressive Neural Architecture Search (2017) — 2,159 citations
• Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation (2019) — 1,052 citations
• AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification (2020) — 54 citations