Anran Wang

Computer Vision and Pattern Recognition · 2015–2021

A researcher in the Science corpus: 3 papers; trusts 258 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 111 citations into it
• Artificial Intelligence — 45 citations into it
• Model Architectures — 25 citations into it
• Aerospace Engineering — 15 citations into it
• Representation & Self-Supervised Learning — 11 citations into it

Whom Anran Wang trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yann LeCun
4. Rob Fergus
5. Yoshua Bengio
6. David G. Lowe
7. Ilya Sutskever
8. Kaiming He
9. Ross B. Girshick
10. Richard Socher

Papers from Anran Wang's perspective

Ordered by how strongly the researchers Anran Wang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
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

• All Tokens Matter: Token Labeling for Training Better Vision Transformers (2021) — 248 citations
• Large-Margin Multi-Modal Deep Learning for RGB-D Object Recognition (2015) — 145 citations
• Unsupervised Joint Feature Learning and Encoding for RGB-D Scene Labeling (2015) — 26 citations