Jie Tang

Computer Vision and Pattern Recognition · with Liu · 2020

A researcher in the Science corpus: 2 papers; trusts 401 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 70 citations into it; #16,665 of 21,575 by trust here, #17,258 by citations
• Media Technology — 55 citations into it; #2,639 of 3,621 by trust here, #2,598 by citations
• Generative Models — 7 citations into it
• Efficiency & Compression — 5 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Jie Tang trusts overall

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

1. Kaiming He
2. Jiwon Kim
3. Yulun Zhang
4. Kai Zhang
5. Ying Tai
6. Geoffrey E. Hinton
7. Chao Dong
8. Alex Krizhevsky
9. Jia-Bin Huang
10. Radu Timofte

Who trusts Jie Tang overall

1. Jinjin Gu
2. Xindong Zhang
3. Risheng Liu

Papers from Jie Tang's perspective

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

Their papers

• Residual Feature Aggregation Network for Image Super-Resolution (2020) — 514 citations
• Residual Feature Distillation Network for Lightweight Image Super-Resolution (2020) — 582 citations