Dong Ni

Computer Vision and Pattern Recognition · with Wang · 2021

A researcher in the Science corpus: 1 paper; trusts 113 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it
• Artificial Intelligence — 20 citations into it
• Model Architectures — 7 citations into it

Whom Dong Ni trusts overall

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

1. Kaiming He
2. Navneet Dalal
3. Karen Simonyan
4. Yedid Hoshen
5. Ross B. Girshick
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Andrew Zisserman
9. X. Zhang
10. Yann LeCun

Papers from Dong Ni's perspective

Ordered by how strongly the researchers Dong Ni 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. 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. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Spatio-Temporal Dynamic Inference Network for Group Activity Recognition (2021) — 116 citations