Ning Jin

Computer Vision and Pattern Recognition · with Andriluka · 2004–2015

A researcher in the Science corpus: 2 papers; trusts 67 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it; #10,600 of 21,575 by trust here, #7,657 by citations

Whom Ning Jin trusts overall

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

1. Karen Simonyan
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Sepp Hochreiter
5. Andrew Zisserman
6. Alex Krizhevsky
7. Hilde Kuehne
8. Kaiming He
9. J. Urgen Schmidhuber
10. Yann LeCun

Who trusts Ning Jin overall

1. Biswaranjan Behera
2. Jeff Donahue

Papers from Ning Jin's perspective

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

Their papers

• Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos (2015) — 469 citations
• Multiresolution analysis on local fields (2004) — 105 citations