Jia-Nan Wu
Computer Vision and Pattern Recognition · 2015
A researcher in the Science corpus: 1 paper; trusts 550 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 27 citations into it; #11,445 of 21,575 by trust here, #21,103 by citations
- Artificial Intelligence — 21 citations into it; #18,161 of 35,345 by trust here, #34,213 by citations
- Efficiency & Compression — 15 citations into it; #659 of 1,264 by trust here, #1,250 by citations
- Signal Processing — 8 citations into it
- Computational Mechanics — 6 citations into it
- Computational Theory and Mathematics — 5 citations into it
- Optimization & Training — 5 citations into it
Whom Jia-Nan Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Karen Simonyan
- Yann LeCun
- Yoshua Bengio
- Ilya Sutskever
- Kaiming He
- X. Zhang
- Andrew Zisserman
- Diederik P. Kingma
Who trusts Jia-Nan Wu overall
Papers from Jia-Nan Wu's perspective
Ordered by how strongly the researchers Jia-Nan Wu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Compression of fully-connected layer in neural network by Kronecker product (2015) — 28 citations