Seung-Hwan Bae

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 43 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it; #4,757 of 21,575 by trust here, #11,083 by citations

Whom Seung-Hwan Bae trusts overall

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

1. Shai Avidan
2. Ramkant Nevatia
3. Bo Wu
4. Helmut Grabner
5. Bo Yang
6. Anton Milan
7. Ravindra K. Ahuja
8. Andreas Ess
9. Bastian Leibe
10. Michael D. Breitenstein

Who trusts Seung-Hwan Bae overall

1. Anton Milan
2. L. Leal-Taix'e
3. Patrick Dendorfer
4. Longyin Wen
5. Dawei Du
6. Afshin Dehghan
7. Yifu Zhang
8. Xinshuo Weng
9. Israel Dejene Gebru
10. Shijie Sun

Papers from Seung-Hwan Bae's perspective

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

Their papers

• Robust Online Multi-object Tracking Based on Tracklet Confidence and Online Discriminative Appearance Learning (2014) — 452 citations