Limin Wang

Computer Vision and Pattern Recognition · with Deveci · 2024

A researcher in the Science corpus: 1 paper; trusts 72 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 47 citations into it
• Artificial Intelligence — 20 citations into it
• Model Architectures — 12 citations into it

Whom Limin Wang trusts overall

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

1. Ross B. Girshick
2. Christian Szegedy
3. Kaiming He
4. Alex Krizhevsky
5. Sergey Ioffe
6. Geoffrey E. Hinton
7. Tsung-Yi Lin
8. Joseph Redmon
9. Mingxing Tan
10. Yoshua Bengio

Papers from Limin Wang's perspective

Ordered by how strongly the researchers Limin 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. Attention is All you Need (Neural Information Processing Systems)
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. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• A review of convolutional neural networks in computer vision (2024) — 1,002 citations