Jie Chang

Computer Vision and Pattern Recognition · with Lan · 2020

A researcher in the Science corpus: 2 papers; trusts 169 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 55 citations into it
• Artificial Intelligence — 30 citations into it
• Signal Processing — 19 citations into it
• Probabilistic & Bayesian Methods — 9 citations into it
• Model Architectures — 7 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Jie Chang trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yoshua Bengio
5. Yann LeCun
6. Yarin Gal
7. Diederik P. Kingma
8. Quoc V. Le
9. Leslie N. Smith
10. Ross B. Girshick

Who trusts Jie Chang overall

1. Minchul Kim
2. Ping Hu
3. Qiang Meng
4. Stan Sclaroff
5. Anil K. Jain
6. Shichao Zhao

Papers from Jie Chang's perspective

Ordered by how strongly the researchers Jie Chang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Going deeper with convolutions
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Data Uncertainty Learning in Face Recognition (2020) — 340 citations
• Prime-Aware Adaptive Distillation (2020) — 53 citations