Tae Eun Choe

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it
• Natural Language Processing — 11 citations into it

Whom Tae Eun Choe trusts overall

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

1. Song-Chun Zhu
2. Yibiao Zhao
3. Philipp Cimiano
4. George A. Miller
5. Christopher D. Manning
6. Jay Earley
7. Jean-Pierre Koenig

Papers from Tae Eun Choe's perspective

Ordered by how strongly the researchers Tae Eun Choe 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. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Bleu: a Method for Automatic Evaluation of Machine Translation
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Joint Video and Text Parsing for Understanding Events and Answering Queries (2013) — 121 citations