Wenfei Wu
Computer Vision and Pattern Recognition · 2010–2021
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 16 citations into it
Whom Wenfei Wu trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Simonyan (in Computer Vision and Pattern Recognition)
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
- Alex Krizhevsky (in Computer Vision and Pattern Recognition)
Papers from Wenfei Wu's perspective
Ordered by how strongly the researchers Wenfei Wu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Large Scale Distributed Deep Networks
- Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
- Automatic differentiation in PyTorch
- 5分で分かる!? 有名論文ナナメ読み:Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
- MapReduce: simplified data processing on large clusters
- MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
- A scalable, commodity data center network architecture (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
Their papers
- ATP: In-network Aggregation for Multi-tenant Learning (2021) — 335 citations
- SecondNet: a data center network virtualization architecture with bandwidth guarantees (2010) — 667 citations