Tiantian Pang

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Artificial Intelligence — 16 citations into it

Whom Tiantian Pang trusts overall

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

1. Chih-Jen Lin
2. Ross B. Girshick
3. Andrea Vedaldi
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Yaniv Bar
7. Karen Simonyan
8. Yann LeCun
9. Ali Sharif Razavian
10. Hossein Azizpour

Papers from Tiantian Pang's perspective

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

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

Their papers

• Convolutional neural networks based transfer learning for diabetic retinopathy fundus image classification (2017) — 158 citations