Wei Huang

Computer Vision and Pattern Recognition · with Yang · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it; #15,622 of 21,575 by trust here, #10,154 by citations

Whom Wei Huang trusts overall

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

1. Andrew Zisserman
2. Josef Sivic
3. David G. Lowe
4. Li Fei-Fei
5. Svetlana Lazebnik
6. Karen Simonyan
7. Geoffrey E. Hinton
8. Cordelia Schmid
9. Alex Krizhevsky
10. Kaiming He

Who trusts Wei Huang overall

1. Parnian Afshar
2. Octavio Loyola-González
3. S. Deepak

Papers from Wei Huang's perspective

Ordered by how strongly the researchers Wei Huang 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. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Retrieval of Brain Tumors by Adaptive Spatial Pooling and Fisher Vector Representation (2016) — 275 citations
• Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition (2015) — 815 citations