Wang-chun Woo

Computer Vision and Pattern Recognition · 2014–2017

A researcher in the Science corpus: 3 papers; trusts 46 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Artificial Intelligence — 19 citations into it
• Generative Models — 7 citations into it

Whom Wang-chun Woo trusts overall

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

1. Alex Graves
2. Geoffrey E. Hinton
3. Yann LeCun
4. Yoshua Bengio
5. Diederik P. Kingma
6. Ilya Sutskever
7. Sepp Hochreiter
8. Nitish Srivastava

Who trusts Wang-chun Woo overall

1. Xingjian Shi
2. Zhourong Chen
3. Hao Wang
4. Yunbo Wang
5. Jindong Jiang
6. Dit-Yan Yeung
7. Wenguan Wang

Papers from Wang-chun Woo's perspective

Ordered by how strongly the researchers Wang-chun Woo trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
6. GENERATIVE ADVERSARIAL NETS
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model (2017) — 1,027 citations
• Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting (2015) — 9,818 citations
• Application of Optical Flow Techniques to Rainfall Nowcasting (2014) — 24 citations