Michelle Shu

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 679 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 155 citations into it; #7,178 of 21,575 by trust here, #8,831 by citations
• Artificial Intelligence — 101 citations into it; #14,918 of 35,345 by trust here, #12,761 by citations
• Model Architectures — 16 citations into it
• Media Technology — 8 citations into it
• 3D Vision & Pose — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Michelle Shu trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Ross B. Girshick
4. Alex Krizhevsky
5. Karen Simonyan
6. Diederik P. Kingma
7. Andrew Zisserman
8. Shaoqing Ren
9. Yoshua Bengio
10. Yann LeCun

Who trusts Michelle Shu overall

1. Ilija Radosavovic
2. Tushar Nagarajan
3. Tete Xiao
4. Timo Lüddecke

Papers from Michelle Shu's perspective

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

Their papers

• Understanding Human Hands in Contact at Internet Scale (2020) — 405 citations
• Prior Guided Feature Enrichment Network for Few-Shot Segmentation (2020) — 723 citations
• Generalized Few-shot Semantic Segmentation (2020) — 120 citations
• Referring Image Segmentation via Recurrent Refinement Networks (2018) — 294 citations