Tianyi Wu

Computer Vision and Pattern Recognition · 2009–2018

A researcher in the Science corpus: 3 papers; trusts 216 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 49 citations into it; #16,262 of 21,575 by trust here, #16,787 by citations
• Artificial Intelligence — 32 citations into it; #14,955 of 35,345 by trust here, #11,750 by citations
• Model Architectures — 9 citations into it

Whom Tianyi Wu trusts overall

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

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

Who trusts Tianyi Wu overall

1. Kailun Yang
2. Huayao Liu
3. Ting-Chun Wang
4. Yizhou Sun
5. Yu Wang
6. Xinxin Hu
7. Rainer Stiefelhagen

Papers from Tianyi Wu's perspective

Ordered by how strongly the researchers Tianyi Wu 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. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• CGNet: A Light-Weight Context Guided Network for Semantic Segmentation (2018) — 786 citations
• PathSim (2011) — 1,600 citations
• RankClus: integrating clustering with ranking for heterogeneous information network analysis (2009) — 436 citations