Sijin Li

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 2 papers; trusts 315 researchers and is trusted by 223 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it; #2,507 of 21,575 by trust here, #6,089 by citations
• Artificial Intelligence — 11 citations into it; #3,459 of 35,345 by trust here, #8,525 by citations
• Human-Computer Interaction — 11 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Model Architectures — 7 citations into it
• Optimization & Training — 6 citations into it
• Biomedical Engineering — 5 citations into it

Whom Sijin Li trusts overall

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

1. Geoffrey E. Hinton
2. Yann LeCun
3. Alex Krizhevsky
4. Yoshua Bengio
5. Ilya Sutskever
6. Pedro F. Felzenszwalb
7. L. Eon Bottou
8. Vinod Nair
9. Graham W. Taylor
10. Kaiming He

Who trusts Sijin Li overall

1. Xingyi Zhou
2. Bugra Tekin
3. Georgios Pavlakos
4. Xiaowei Zhou
5. Yucheng Chen
6. Grégory Rogez
7. Dushyant Mehta
8. Mir Rayat Imtiaz Hossain
9. Helge Rhodin
10. Ching-Hang Chen

Papers from Sijin Li's perspective

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

Their papers

• 3D Human Pose Estimation from Monocular Images with Deep Convolutional Neural Network (2014) — 485 citations
• Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network (2014) — 246 citations