Wenlong Tang

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Artificial Intelligence — 16 citations into it

Whom Wenlong Tang trusts overall

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

1. Liang-Chieh Chen
2. Kaiming He
3. George Papandreou
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Ross B. Girshick
7. Mahesh Pal

Papers from Wenlong Tang's perspective

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

Their papers

• CMTFNet: CNN and Multiscale Transformer Fusion Network for Remote-Sensing Image Semantic Segmentation (2023) — 352 citations