Haibing Wu

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it; #15,601 of 21,575 by trust here, #17,757 by citations
• Artificial Intelligence — 9 citations into it; #25,457 of 35,345 by trust here, #27,551 by citations
• Model Architectures — 5 citations into it

Whom Haibing Wu trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Leo Breiman
4. Matthew D. Zeiler
5. Vinod Nair
6. Ilya Sutskever
7. Yann LeCun
8. Rob Fergus
9. Yoshua Bengio
10. Nitish Srivastava

Who trusts Haibing Wu overall

1. Debjyoti Sinha
2. Mohamed A. El-Sharkawy
3. Terrance Devries
4. Sungheon Park

Papers from Haibing Wu's perspective

Ordered by how strongly the researchers Haibing Wu 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Towards dropout training for convolutional neural networks (2015) — 333 citations