Congqi Cao

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 410 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 107 citations into it
• Artificial Intelligence — 49 citations into it
• Biomedical Engineering — 33 citations into it
• Human-Computer Interaction — 27 citations into it
• Model Architectures — 17 citations into it

Whom Congqi Cao trusts overall

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

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

Who trusts Congqi Cao overall

1. Hamid Reza Vaezi Joze

Papers from Congqi Cao's perspective

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

Their papers

• Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition (2020) — 338 citations
• Body Joint Guided 3-D Deep Convolutional Descriptors for Action Recognition (2017) — 73 citations
• EgoGesture: A New Dataset and Benchmark for Egocentric Hand Gesture Recognition (2018) — 319 citations