Lisha Hu

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it; #19,693 of 21,575 by trust here, #9,563 by citations
• Artificial Intelligence — 33 citations into it
• Signal Processing — 10 citations into it
• Representation & Self-Supervised Learning — 9 citations into it

Whom Lisha Hu trusts overall

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

1. Sinno Jialin Pan
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Xavier Glorot
5. Qiang Yang
6. Li Deng

Who trusts Lisha Hu overall

1. Sreenivasan Ramasamy Ramamurthy
2. Nirmalya Roy

Papers from Lisha Hu's perspective

Ordered by how strongly the researchers Lisha Hu 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. A Fast Learning Algorithm for Deep Belief Nets
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Stratified Transfer Learning for Cross-domain Activity Recognition (2017) — 244 citations
• Deep Learning for Sensor-based Activity Recognition: A Survey (2017) — 1,854 citations