Sou-Young Jin

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it; #14,993 of 21,575 by trust here, #21,103 by citations

Whom Sou-Young Jin trusts overall

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

1. Ronald Poppe
2. Jake K. Aggarwal
3. Jaeyong Sung
4. Jamie Shotton
5. Michael S. Ryoo
6. Colin Ponce
7. Toby Sharp
8. Bart Selman

Who trusts Sou-Young Jin overall

1. Fei Han
2. Brian Reily
3. William A. Hoff

Papers from Sou-Young Jin's perspective

Ordered by how strongly the researchers Sou-Young Jin 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. ImageNet Large Scale Visual Recognition Challenge
7. Real-time human pose recognition in parts from single depth images
8. Gradient-based learning applied to document recognition
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• Essential Body-Joint and Atomic Action Detection for Human Activity Recognition Using Longest Common Subsequence Algorithm (2012) — 19 citations