Taojiannan Yang

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 508 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 199 citations into it
• Artificial Intelligence — 61 citations into it
• Human-Computer Interaction — 40 citations into it
• Computational Mechanics — 23 citations into it
• Control and Systems Engineering — 15 citations into it
• Model Architectures — 15 citations into it
• Aerospace Engineering — 11 citations into it

Whom Taojiannan Yang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Karen Simonyan
6. Yann LeCun
7. Andrew Zisserman
8. Ross B. Girshick
9. Yoshua Bengio
10. Ilya Sutskever

Papers from Taojiannan Yang's perspective

Ordered by how strongly the researchers Taojiannan Yang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• 3D Human Pose Estimation with Spatial and Temporal Transformers (2021) — 692 citations
• VIGOR: Cross-View Image Geo-localization beyond One-to-one Retrieval (2020) — 315 citations
• Deep Learning-based Human Pose Estimation: A Survey (2020) — 975 citations