Sung-Jin Cho

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it
• Media Technology — 10 citations into it

Whom Sung-Jin Cho trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Tsung-Yi Lin
4. Seungjun Nah
5. Mark Everingham
6. Olaf Ronneberger
7. Geoffrey E. Hinton
8. Joseph Redmon
9. Alex Krizhevsky
10. Orest Kupyn

Who trusts Sung-Jin Cho overall

1. Yuning Cui
2. Liangyu Chen
3. Lingshun Kong
4. Fu-Jen Tsai
5. Syed Waqas Zamir
6. Jay Whang
7. Zhengzhong Tu
8. Hossein Talebi
9. Wenqi Ren
10. Xiaojie Chu

Papers from Sung-Jin Cho's perspective

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

Their papers

• Rethinking Coarse-to-Fine Approach in Single Image Deblurring (2021) — 862 citations