Liangbin Xie

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 356 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 82 citations into it; #8,849 of 21,575 by trust here, #7,584 by citations
• Generative Models — 36 citations into it
• Media Technology — 33 citations into it
• Artificial Intelligence — 14 citations into it
• Evaluation & Benchmarks — 11 citations into it

Whom Liangbin Xie trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Radu Timofte
6. Yoshua Bengio
7. Yann LeCun
8. Jia Deng
9. Ross B. Girshick
10. Xintao Wang

Who trusts Liangbin Xie overall

1. Zongsheng Yue
2. Jianyi Wang
3. Kelvin C. K. Chan
4. X. Lin
5. Jingyun Liang
6. Hang Guo
7. Chen Change Loy
8. Shangchen Zhou
9. Fanghua Yu
10. Oron Ashual

Papers from Liangbin Xie's perspective

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

Their papers

• Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data (2021) — 2,005 citations
• T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models (2023) — 1,776 citations