Rui Hou

Computer Vision and Pattern Recognition · with Chen · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 563 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 99 citations into it
• Artificial Intelligence — 52 citations into it; #34,337 of 35,345 by trust here, #13,163 by citations
• Model Architectures — 20 citations into it
• Biomedical Engineering — 16 citations into it
• Representation & Self-Supervised Learning — 15 citations into it
• Optimization & Training — 8 citations into it
• Meta & Continual Learning — 5 citations into it

Whom Rui Hou trusts overall

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

1. Ross B. Girshick
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Kaiming He
5. Karen Simonyan
6. Diederik P. Kingma
7. David G. Lowe
8. Yoshua Bengio
9. Ilya Sutskever
10. Andrew Zisserman

Who trusts Rui Hou overall

1. Chi Zhang
2. Jinwoo Choi
3. Yang Li
4. Yaoyao Liu
5. Yang Xiao
6. Davis Wertheimer
7. Ali Athar
8. Eugene Lee
9. Timothy M. Hospedales
10. Zhongqi Yue

Papers from Rui Hou's perspective

Ordered by how strongly the researchers Rui Hou 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
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. Going deeper with convolutions

Their papers

• Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos (2017) — 362 citations
• Interaction-And-Aggregation Network for Person Re-Identification (2019) — 392 citations
• Cross Attention Network for Few-shot Classification (2019) — 806 citations