Jia-Hong Lee

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it

Whom Jia-Hong Lee trusts overall

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

1. Christian Szegedy
2. Arun Mallya
3. Gil Levi
4. Michael Zhu
5. Geoffrey E. Hinton
6. Florian Schroff
7. Alex Krizhevsky
8. Eran Eidinger
9. Rasmus Rothe
10. Ali Mollahosseini

Who trusts Jia-Hong Lee overall

1. Prashant Bhat
2. Lemeng Wu

Papers from Jia-Hong Lee's perspective

Ordered by how strongly the researchers Jia-Hong Lee 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Going deeper with convolutions
6. ImageNet Large Scale Visual Recognition Challenge
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Increasingly Packing Multiple Facial-Informatics Modules in A Unified Deep-Learning Model via Lifelong Learning (2019) — 47 citations
• A benchmark for comparison of dental radiography analysis algorithms (2016) — 380 citations
• ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI (2016) — 525 citations