Shaojin Ding
Computer Vision and Pattern Recognition · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 116 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 62 citations into it
- Artificial Intelligence — 35 citations into it
- Signal Processing — 14 citations into it
- Model Architectures — 13 citations into it
- Speech & Audio — 11 citations into it
- Optimization & Training — 5 citations into it
Whom Shaojin Ding trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Barret Zoph
- Kaiming He
- Andrew Zisserman
- Alex Krizhevsky
- Geoffrey E. Hinton
- Karen Simonyan
- Quoc V. Le
- Yoshua Bengio
- Christian Szegedy
- Diederik P. Kingma
Who trusts Shaojin Ding overall
Papers from Shaojin Ding's perspective
Ordered by how strongly the researchers Shaojin Ding 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)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- 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
- ABD-Net: Attentive but Diverse Person Re-Identification (2019) — 555 citations
- AutoSpeech: Neural Architecture Search for Speaker Recognition (2020) — 61 citations