Tao Li

Computer Vision and Pattern Recognition · with Borji · 2017

A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 51 citations into it; #7,656 of 21,575 by trust here, #9,187 by citations

Whom Tao Li trusts overall

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

1. Ming-Ming Cheng
2. Ran Margolin
3. Huaizu Jiang

Who trusts Tao Li overall

1. Deng-Ping Fan
2. Xiaoqi Zhao
3. Ge-Peng Ji
4. Tao Zhou
5. Jiaxing Zhao

Papers from Tao Li's perspective

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

Their papers

• Structure-Measure: A New Way to Evaluate Foreground Maps (2017) — 1,869 citations