Byeoungdo Kim

Computer Vision and Pattern Recognition · 2017

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

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it
• Artificial Intelligence — 7 citations into it
• Reinforcement Learning — 6 citations into it

Whom Byeoungdo Kim trusts overall

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

1. Sebastian Thrun
2. Sepp Hochreiter
3. J. Urgen Schmidhuber
4. Christian Laugier
5. Richard S. Sutton
6. Peter Ondruska

Who trusts Byeoungdo Kim overall

1. Andrey Rudenko
2. Nachiket Deo
3. Karttikeya Mangalam
4. Henggang Cui
5. Md. Zahangir Alom

Papers from Byeoungdo Kim's perspective

Ordered by how strongly the researchers Byeoungdo Kim trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. Reinforcement Learning: An Introduction
3. Rectified Linear Units Improve Restricted Boltzmann Machines
4. Deep Learning
5. ImageNet classification with deep convolutional neural networks
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Probabilistic vehicle trajectory prediction over occupancy grid map via recurrent neural network (2017) — 361 citations
• Autonomous braking system via deep reinforcement learning (2017) — 140 citations