Brian Chu

Computer Vision and Pattern Recognition · 2016–2021

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Brian Chu trusts overall

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

1. Alex Krizhevsky
2. Ariadna Quattoni
3. Antonio Torralba
4. Geoffrey E. Hinton
5. Ross B. Girshick
6. Yangqing Jia
7. Jeff Donahue
8. Catherine Wah
9. Ilya Sutskever
10. Yoshua Bengio

Who trusts Brian Chu overall

1. Eden Belouadah
2. Alexander S. Kott
3. Jun Shu
4. Emanuele Alberti
5. Adrian Daniel Popescu
6. Ethan Stump
7. Gabriella Csurka
8. Zongben Xu

Papers from Brian Chu's perspective

Ordered by how strongly the researchers Brian Chu 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. Learning Multiple Layers of Features from Tiny Images
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Best Practices for Fine-Tuning Visual Classifiers to New Domains (2016) — 161 citations
• Identifying Decision Points for Safe and Interpretable Reinforcement Learning in Hypotension Treatment (2021) — 5 citations