Tianchun Wang
Computer Vision and Pattern Recognition · 2016
A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 17 citations into it
Whom Tianchun Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Yoshua Bengio
- Geoffrey E. Hinton
- Jianguo Zhang
- Alex Krizhevsky
- Yann LeCun
- Pascal Vincent
- James Bergstra
- Cordelia Schmid
- Ilya Sutskever
Who trusts Tianchun Wang overall
Papers from Tianchun Wang's perspective
Ordered by how strongly the researchers Tianchun Wang 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
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Learning Multiple Views with Orthogonal Denoising Autoencoders (2016) — 20 citations