M. Hsieh

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 219 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it; #15,786 of 21,575 by trust here, #13,815 by citations
• Artificial Intelligence — 7 citations into it

Whom M. Hsieh trusts overall

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

1. Karen Simonyan
2. Ross B. Girshick
3. Alex Krizhevsky
4. Andrew Zisserman
5. Geoffrey E. Hinton
6. Kaiming He
7. Ke Chen
8. Yann LeCun
9. Yoshua Bengio
10. Ilya Sutskever

Who trusts M. Hsieh overall

1. Shubhra Aich
2. Peng Fei Zhu
3. Dawei Du
4. Giuseppe Amato
5. Longyin Wen
6. Yuanqiang Cai
7. Xingjia Pan
8. Ian Stavness
9. Luca Ciampi
10. Xiao Bian

Papers from M. Hsieh's perspective

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

Their papers

• Drone-Based Object Counting by Spatially Regularized Regional Proposal Network (2017) — 537 citations