J. Lee

Computer Vision and Pattern Recognition · with Ko · 2023

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Computer Graphics and Computer-Aided Design — 23 citations into it

Whom J. Lee trusts overall

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

1. Jonathan T. Barron
2. Yoshua Bengio
3. Ben Mildenhall
4. Johannes L. Schönberger
5. Peter Hedman
6. Geoffrey E. Hinton
7. Diederik P. Kingma
8. Alex Yu
9. Alex Krizhevsky
10. Cheng Sun

Papers from J. Lee's perspective

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

Their papers

• Compact 3D Gaussian Representation for Radiance Field (2023) — 472 citations