Jie Huang

Computer Vision and Pattern Recognition · with Li · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 62 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Artificial Intelligence — 7 citations into it

Whom Jie Huang trusts overall

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

1. Ross B. Girshick
2. Alex Krizhevsky
3. Yann LeCun
4. Geoffrey E. Hinton
5. Paul J. Werbos
6. Ilya Sutskever
7. Yoshua Bengio
8. Kaiming He
9. Subhashini Venugopalan
10. Diederik P. Kingma

Who trusts Jie Huang overall

1. Hamid Reza Vaezi Joze
2. Oscar Koller

Papers from Jie Huang's perspective

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

Their papers

• Video-based Sign Language Recognition without Temporal Segmentation (2018) — 482 citations
• Sign Language Recognition using 3D convolutional neural networks (2015) — 311 citations