Fuyuan Hu

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 5 papers; trusts 555 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 134 citations into it
• Artificial Intelligence — 127 citations into it
• Natural Language Processing — 41 citations into it
• Multimodal Learning — 28 citations into it
• Model Architectures — 24 citations into it
• Representation & Self-Supervised Learning — 24 citations into it
• Reinforcement Learning — 8 citations into it
• Information Systems — 5 citations into it

Whom Fuyuan Hu trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Yoshua Bengio
5. Ross B. Girshick
6. Diederik P. Kingma
7. Ilya Sutskever
8. Karen Simonyan
9. Yann LeCun
10. Oriol Vinyals

Papers from Fuyuan Hu's perspective

Ordered by how strongly the researchers Fuyuan Hu 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Visual Grounding Via Accumulated Attention (2020) — 205 citations
• AGCN: Augmented Graph Convolutional Network for Lifelong Multi-Label Image Recognition (2022) — 23 citations
• Class-Incremental Lifelong Learning in Multi-Label Classification (2022) — 4 citations
• Multi-Domain Multi-Task Rehearsal for Lifelong Learning (2020) — 35 citations
• Attend and Imagine: Multi-Label Image Classification With Visual Attention and Recurrent Neural Networks (2019) — 55 citations