Sijin Chen

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 48 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Aerospace Engineering — 18 citations into it
• Computational Mechanics — 11 citations into it
• Geology — 8 citations into it

Whom Sijin Chen trusts overall

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

1. Diederik P. Kingma
2. Shaoshuai Shi
3. Kaiming He
4. Ross B. Girshick
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Tsung-Yi Lin
8. Jimmy Ba
9. Yoshua Bengio
10. Ilya Loshchilov

Papers from Sijin Chen's perspective

Ordered by how strongly the researchers Sijin Chen 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. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Going deeper with convolutions
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud (2020) — 340 citations