Ross K. Maddox

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 199 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it; #19,922 of 21,575 by trust here, #11,083 by citations
• Signal Processing — 17 citations into it; #7,009 of 7,572 by trust here, #2,664 by citations
• Generative Models — 14 citations into it
• Artificial Intelligence — 11 citations into it
• Media Technology — 5 citations into it

Whom Ross K. Maddox trusts overall

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

1. Joon Son Chung
2. Andrew Zisserman
3. Davis E. King
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Kaiming He
7. Karen Simonyan
8. Yoshua Bengio
9. Diederik P. Kingma
10. Yann LeCun

Who trusts Ross K. Maddox overall

1. Lele Chen
2. Hang Zhou
3. Yang Zhou

Papers from Ross K. Maddox's perspective

Ordered by how strongly the researchers Ross K. Maddox 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
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

• Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss (2019) — 473 citations
• Lip Movements Generation at a Glance (2018) — 324 citations