Chang Liu

Computer Vision and Pattern Recognition · 1 papers · 2021

A researcher in the Science corpus: 1 paper; trusts 69 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it; #21,288 of 21,575 by trust here, #17,757 by citations
• Artificial Intelligence — 16 citations into it; #34,906 of 35,345 by trust here, #27,551 by citations

Whom Chang Liu trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Evan Shelhamer
5. Licheng Yu
6. Alex Krizhevsky
7. Trevor Darrell
8. Yoshua Bengio
9. Diederik P. Kingma
10. Ronghang Hu

Who trusts Chang Liu overall

1. Chang Liu
2. Golnaz Ghiasi
3. Henghui Ding
4. Zhao Yang

Papers from Chang Liu's perspective

Ordered by how strongly the researchers Chang Liu 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Vision-Language Transformer and Query Generation for Referring Segmentation (2021) — 380 citations