Mooyeol Baek

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 624 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 111 citations into it; #8,216 of 21,575 by trust here, #6,606 by citations
• Artificial Intelligence — 18 citations into it
• Aerospace Engineering — 10 citations into it
• Global and Planetary Change — 10 citations into it
• Electrical and Electronic Engineering — 8 citations into it
• Model Architectures — 5 citations into it

Whom Mooyeol Baek trusts overall

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

1. Ross B. Girshick
2. Karen Simonyan
3. Alex Krizhevsky
4. Martin Danelljan
5. Kaiming He
6. Geoffrey E. Hinton
7. Andrew Zisserman
8. Andrea Vedaldi
9. Ilya Sutskever
10. Yoshua Bengio

Who trusts Mooyeol Baek overall

1. Seyed Mojtaba Marvasti-Zadeh
2. Goutam Bhat
3. Tianyu Yang
4. Ning Wang
5. Zhipeng Zhang
6. Ilchae Jung
7. Feng Li
8. Anna Khoreva
9. Houwen Peng
10. Martin Danelljan

Papers from Mooyeol Baek's perspective

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

Their papers

• The Visual Object Tracking VOT2016 Challenge Results (2016) — 773 citations
• Modeling and Propagating CNNs in a Tree Structure for Visual Tracking (2016) — 332 citations
• Real-Time MDNet (2018) — 296 citations