Sheng Dong

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Artificial Intelligence — 20 citations into it
• Representation & Self-Supervised Learning — 16 citations into it

Whom Sheng Dong trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton

Papers from Sheng Dong's perspective

Ordered by how strongly the researchers Sheng Dong 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. Gradient-based learning applied to document recognition
4. Learning Multiple Layers of Features from Tiny Images
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Et al
7. ImageNet: A large-scale hierarchical image database
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Meta Module Generation for Fast Few-Shot Incremental Learning (2019) — 7 citations