Tao Lei

Computer Vision and Pattern Recognition · IEEE transactions on fuzzy systems · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 195 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 122 citations into it
• Artificial Intelligence — 56 citations into it
• Media Technology — 18 citations into it

Whom Tao Lei trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Christian Szegedy
5. Ross B. Girshick
6. Yoshua Bengio
7. Yann LeCun
8. Diederik P. Kingma
9. Ilya Sutskever
10. Shaoqing Ren

Papers from Tao Lei's perspective

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

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

Their papers

• Medical Image Segmentation Using Deep Learning: A Survey (2020) — 865 citations
• Superpixel-Based Fast Fuzzy C-Means Clustering for Color Image Segmentation (2019) — 303 citations
• Significantly Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering (2018) — 385 citations