Di Wu

Computer Vision and Pattern Recognition · with Zhang · 2019

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

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it

Whom Di Wu trusts overall

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

1. Alex Graves

Papers from Di Wu's perspective

Ordered by how strongly the researchers Di Wu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
5. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
6. Generating Sequences With Recurrent Neural Networks
7. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
8. WaveNet: A Generative Model for Raw Audio
9. Speech recognition with deep recurrent neural networks
10. Long-term recurrent convolutional networks for visual recognition and description

Their papers

• Multi-Horizon Time Series Forecasting with Temporal Attention Learning (2019) — 235 citations