Tao Sheng

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 136 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Artificial Intelligence — 18 citations into it
• Model Architectures — 11 citations into it

Whom Tao Sheng trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Ross B. Girshick
4. Karen Simonyan
5. Shaoqing Ren
6. Christian Szegedy
7. Geoffrey E. Hinton
8. Andrew Zisserman
9. Tsung-Yi Lin
10. X. Zhang

Who trusts Tao Sheng overall

1. Markus Nagel
2. Chaim Baskin
3. Andrey D. Ignatov
4. Juan R. Terven
5. Kang-jik Kim
6. Raghuraman Krishnamoorthi
7. Alexey Bochkovskiy
8. Siyuan Qiao
9. Mart van Baalen

Papers from Tao Sheng's perspective

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

Their papers

• M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network (2018) — 868 citations
• A Quantization-Friendly Separable Convolution for MobileNets (2018) — 126 citations