Huahui Chen

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 3 papers; trusts 142 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 54 citations into it; #9,856 of 21,575 by trust here, #12,992 by citations
• Biomedical Engineering — 23 citations into it; #6,127 of 10,734 by trust here, #8,509 by citations
• Artificial Intelligence — 20 citations into it
• Human-Computer Interaction — 13 citations into it; #1,404 of 2,253 by trust here, #1,588 by citations
• Media Technology — 7 citations into it; #1,791 of 3,621 by trust here, #2,954 by citations
• Atmospheric Science — 6 citations into it; #1,990 of 4,804 by trust here, #3,967 by citations

Whom Huahui Chen trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. J. Urgen Schmidhuber
4. Yong Du
5. Kaiming He
6. Yann LeCun
7. Karen Simonyan
8. Ilya Sutskever
9. Ross B. Girshick
10. Yoshua Bengio

Who trusts Huahui Chen overall

1. Swalpa Kumar Roy
2. Jun Liu
3. Yucheng Chen
4. Lei Shi
5. C. Li

Papers from Huahui Chen's perspective

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

Their papers

• Skeleton based action recognition using translation-scale invariant image mapping and multi-scale deep CNN (2017) — 259 citations
• Multi-scale 3D deep convolutional neural network for hyperspectral image classification (2017) — 410 citations
• Skeleton boxes: Solving skeleton based action detection with a single deep convolutional neural network (2017) — 36 citations