Kuk-jin Yoon

Computer Vision and Pattern Recognition · with Bae · 2006–2014

A researcher in the Science corpus: 2 papers; trusts 61 researchers and is trusted by 160 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it; #2,799 of 21,575 by trust here, #7,176 by citations

Whom Kuk-jin Yoon trusts overall

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

1. Carlo Tomasi
2. Shai Avidan
3. Ramkant Nevatia
4. Bo Wu
5. Helmut Grabner
6. Roberto Manduchi
7. Bo Yang
8. Anton Milan
9. Ravindra K. Ahuja
10. Andreas Ess

Who trusts Kuk-jin Yoon overall

1. Heiko Hirschmüller
2. Haofei Xu
3. Qingxiong Yang
4. Andreas Geiger
5. Nalpantidis Lazaros
6. Ke Zhang
7. Anton Milan
8. Sunok Kim
9. Kaiming He
10. Christoph Rhemann

Papers from Kuk-jin Yoon's perspective

Ordered by how strongly the researchers Kuk-jin Yoon trusts endorse each paper. Same corpus, a different order for every researcher.

1. Histograms of oriented gradients for human detection
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. ImageNet Large Scale Visual Recognition Challenge
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• Adaptive Support-Weight Approach for Correspondence Search (2006) — 1,308 citations
• Robust Online Multi-object Tracking Based on Tracklet Confidence and Online Discriminative Appearance Learning (2014) — 452 citations