J. Tang
Computer Vision and Pattern Recognition · with Chu · 2020
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 — 16 citations into it
Whom J. Tang trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He (in Computer Vision and Pattern Recognition)
- Shaoqing Ren (in Computer Vision and Pattern Recognition)
Papers from J. Tang's perspective
Ordered by how strongly the researchers J. Tang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Densely Connected Convolutional Networks
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Aggregated Residual Transformations for Deep Neural Networks
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- Long Short-Term Memory