Yadong Mu

Computer Vision and Pattern Recognition · 2008–2022

A researcher in the Science corpus: 8 papers; trusts 1,266 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 388 citations into it; #12,728 of 21,575 by trust here, #3,633 by citations
• Artificial Intelligence — 191 citations into it
• Model Architectures — 44 citations into it
• Optimization & Training — 27 citations into it
• Signal Processing — 21 citations into it
• Biomedical Engineering — 16 citations into it
• Human-Computer Interaction — 16 citations into it
• Computational Mechanics — 12 citations into it

Whom Yadong Mu trusts overall

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

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

Who trusts Yadong Mu overall

1. Toshiyuki Motoyoshi
2. Zhenyu Cui

Papers from Yadong Mu's perspective

Ordered by how strongly the researchers Yadong Mu 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. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
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

• Deep High-Resolution Representation Learning for Visual Recognition (2019) — 4,876 citations
• High-Resolution Representations for Labeling Pixels and Regions (2019) — 909 citations
• Discriminative local binary patterns for human detection in personal album (2008) — 332 citations
• Fast Fourier Convolution (2020) — 764 citations
• Beyond Short-Term Snippet: Video Relation Detection With Spatio-Temporal Global Context (2020) — 82 citations
• Stochastic Gradient Made Stable: A Manifold Propagation Approach for Large-Scale Optimization (2015) — 36 citations
• Patch-based Knowledge Distillation for Lifelong Person Re-Identification (2022) — 45 citations
• Deep Steering: Learning End-to-End Driving Model from Spatial and Temporal Visual Cues (2017) — 115 citations