K. Hua

Computer Vision and Pattern Recognition · with Cheng · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it

Whom K. Hua trusts overall

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

1. Yoshua Bengio
2. Yann LeCun
3. Geoffrey E. Hinton
4. Pascal Lamblin
5. Alex Krizhevsky
6. Hugo Larochelle
7. Rasmus Berg Palm

Who trusts K. Hua overall

1. Amitojdeep Singh
2. Pieter Van Molle
3. Yutong Xie
4. Xuhong Li
5. Luca Saba
6. Sourya Sengupta
7. Mainak Biswas

Papers from K. Hua's perspective

Ordered by how strongly the researchers K. Hua 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Computer-aided classification of lung nodules on computed tomography images via deep learning technique (2015) — 489 citations
• LaRED: a large RGB-D extensible hand gesture dataset (2014) — 42 citations