Liangwei Wang

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 2 papers; trusts 129 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 57 citations into it
• Artificial Intelligence — 24 citations into it
• Media Technology — 17 citations into it
• Model Architectures — 5 citations into it

Whom Liangwei Wang trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Shaoqing Ren
4. Geoffrey E. Hinton
5. Alex Krizhevsky

Papers from Liangwei Wang's perspective

Ordered by how strongly the researchers Liangwei Wang 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. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering (2020) — 128 citations
• ABCNet: Real-Time Scene Text Spotting With Adaptive Bezier-Curve Network (2020) — 402 citations