James Charles

Computer Vision and Pattern Recognition · 2011–2015

A researcher in the Science corpus: 4 papers; trusts 546 researchers and is trusted by 441 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 76 citations into it; #1,996 of 21,575 by trust here, #5,507 by citations
• Artificial Intelligence — 28 citations into it
• Human-Computer Interaction — 12 citations into it; #1,073 of 2,253 by trust here, #737 by citations
• Biomedical Engineering — 11 citations into it

Whom James Charles trusts overall

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

1. Deva Ramanan
2. Pedro F. Felzenszwalb
3. Alex Krizhevsky
4. Karen Simonyan
5. Geoffrey E. Hinton
6. Yann LeCun
7. Andrew Zisserman
8. Jitendra Malik
9. Ross B. Girshick
10. Ilya Sutskever

Who trusts James Charles overall

1. Ishan Misra
2. Fei Han
3. Yan Song
4. Iasonas Kokkinos
5. Adrian Bulat
6. Vasileios Belagiannis
7. Andrew Zisserman
8. Xiaodan Liang
9. Hongsong Wang
10. Bugra Tekin

Papers from James Charles's perspective

Ordered by how strongly the researchers James Charles 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. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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

• Flowing ConvNets for Human Pose Estimation in Videos (2015) — 583 citations
• Deep Convolutional Neural Networks for Efficient Pose Estimation in Gesture Videos (2014) — 158 citations
• Domain-Adaptive Discriminative One-Shot Learning of Gestures (2014) — 94 citations
• Learning shape models for monocular human pose estimation from the Microsoft Xbox Kinect (2011) — 48 citations