Nam-Gyu Cho

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 331 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it; #2,224 of 21,575 by trust here, #3,075 by citations

Whom Nam-Gyu Cho trusts overall

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

1. Ross B. Girshick
2. Pedro F. Felzenszwalb
3. Antonio Torralba
4. Derek Hoiem

Who trusts Nam-Gyu Cho overall

1. Iasonas Kokkinos
2. Bolei Zhou
3. Alan L. Yuille
4. Chunhua Shen
5. Jun Fu
6. Yuhui Yuan
7. Yunchao Wei
8. Jifeng Dai
9. Holger Caesar
10. Liang-Chieh Chen

Papers from Nam-Gyu Cho's perspective

Ordered by how strongly the researchers Nam-Gyu Cho 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. Gradient-based learning applied to document recognition
4. Object Detection with Discriminatively Trained Part Based Models
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• The Role of Context for Object Detection and Semantic Segmentation in the Wild (2014) — 1,654 citations