Weiping Li

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 4 papers; trusts 235 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 67 citations into it
• Artificial Intelligence — 21 citations into it
• Model Architectures — 5 citations into it

Whom Weiping Li trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Ross B. Girshick
4. Ilya Sutskever
5. Yann LeCun
6. Yoshua Bengio
7. Kaiming He
8. David G. Lowe
9. Diederik P. Kingma
10. Tomas Mikolov

Papers from Weiping Li's perspective

Ordered by how strongly the researchers Weiping Li 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. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Video-based Sign Language Recognition without Temporal Segmentation (2018) — 482 citations
• Sign Language Recognition using 3D convolutional neural networks (2015) — 311 citations
• Region Normalization for Image Inpainting (2019) — 205 citations
• Comparative Deep Learning of Hybrid Representations for Image Recommendations (2016) — 117 citations