Hongyu Liu

Computer Vision and Pattern Recognition · with Jiang · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 343 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 75 citations into it; #12,434 of 21,575 by trust here, #12,419 by citations
• Generative Models — 29 citations into it
• Computer Graphics and Computer-Aided Design — 16 citations into it
• Artificial Intelligence — 6 citations into it
• Media Technology — 6 citations into it

Whom Hongyu Liu 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. Alexei A. Efros
6. Ross B. Girshick
7. Yoshua Bengio
8. Jimmy Ba
9. Alexia Jolicoeur-Martineau
10. Yann LeCun

Who trusts Hongyu Liu overall

1. Ziyu Wan
2. Xiefan Guo
3. Roman Suvorov
4. Jingbo Zhang
5. Lisai Zhang
6. Vincent Sitzmann
7. Jingyuan Li
8. Andreas Lugmayr
9. Lei Zhao
10. Hongyu Yang

Papers from Hongyu Liu's perspective

Ordered by how strongly the researchers Hongyu Liu 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
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

• Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations (2020) — 315 citations
• Coherent Semantic Attention for Image Inpainting (2019) — 400 citations