Munan Ning

Computer Vision and Pattern Recognition · with Guo · 2019

A researcher in the Science corpus: 1 paper; trusts 75 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it

Whom Munan Ning trusts overall

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

1. Liang Zheng
2. Kaiming He
3. Zhun Zhong
4. Ilya Sutskever
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Ross B. Girshick
8. Yoshua Bengio
9. X. Zhang
10. Yann LeCun

Papers from Munan Ning's perspective

Ordered by how strongly the researchers Munan Ning trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. ImageNet Large Scale Visual Recognition Challenge
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Hierarchical Clustering With Hard-Batch Triplet Loss for Person Re-Identification (2019) — 310 citations