Woong Bae

Computer Vision and Pattern Recognition · 2016–2020

A researcher in the Science corpus: 4 papers; trusts 87 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 93 citations into it; #11,074 of 21,575 by trust here, #4,887 by citations
• Radiology, Nuclear Medicine and Imaging — 43 citations into it
• Artificial Intelligence — 39 citations into it
• Media Technology — 36 citations into it; #1,542 of 3,621 by trust here, #366 by citations
• Model Architectures — 23 citations into it
• Optimization & Training — 9 citations into it
• Scaling & Learning Theory — 6 citations into it

Whom Woong Bae trusts overall

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

1. Kaiming He
2. Yunjin Chen
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. X. Zhang
6. Yoshua Bengio
7. Karen Simonyan
8. Shaoqing Ren
9. Xavier Glorot
10. Diederik P. Kingma

Who trusts Woong Bae overall

1. Saeed Anwar
2. Tobias Plötz
3. Zhihao Wang
4. Nick Barnes
5. Stefan Roth
6. Jian Chen
7. Zhihua Liu
8. Eirikur Agustsson
9. Yochai Blau

Papers from Woong Bae's perspective

Ordered by how strongly the researchers Woong Bae 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results (2017) — 1,901 citations
• Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification (2016) — 198 citations
• IDRiD: Diabetic Retinopathy - Segmentation and Grading Challenge. (2020) — 366 citations
• Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation (2019) — 47 citations