Jaekyum Kim

Computer Vision and Pattern Recognition · with Choi · 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 Jaekyum Kim trusts overall

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

1. Sebastian Thrun

Papers from Jaekyum Kim's perspective

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

1. Reinforcement Learning: An Introduction
2. Long Short-Term Memory
3. Rectified Linear Units Improve Restricted Boltzmann Machines
4. Deep Learning
5. End to End Learning for Self-Driving Cars
6. Evolving deep unsupervised convolutional networks for vision-based reinforcement learning
7. DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
8. Probabilistic robotics
9. Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks
10. Survey of Pedestrian Detection for Advanced Driver Assistance Systems (IEEE Transactions on Pattern Analysis and Machine Intelligence)

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