Ziliang Chen

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 326 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 73 citations into it; #18,747 of 21,575 by trust here, #9,563 by citations
• Artificial Intelligence — 61 citations into it; #30,525 of 35,345 by trust here, #13,962 by citations
• Representation & Self-Supervised Learning — 33 citations into it
• Model Architectures — 5 citations into it

Whom Ziliang Chen trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yann LeCun
6. Yoshua Bengio
7. Shaoqing Ren
8. Diederik P. Kingma
9. Ilya Sutskever
10. Karen Simonyan

Who trusts Ziliang Chen overall

1. Xingchao Peng
2. Garrett Wilson
3. Toshihiko Matsuura
4. Fabio Maria Carlucci
5. Prithvijit Chattopadhyay
6. Yongchun Zhu
7. Yang Xiao
8. Pengyang Li
9. Qi Fan
10. Ying Jin

Papers from Ziliang Chen's perspective

Ordered by how strongly the researchers Ziliang Chen 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. 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. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning (2019) — 610 citations
• Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift (2018) — 437 citations