Congcong Wen

Computer Vision and Pattern Recognition · 2019–2023

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it

Whom Congcong Wen trusts overall

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

1. Yoshua Bengio
2. Yann LeCun
3. Geoffrey E. Hinton
4. Sepp Hochreiter
5. Alex Krizhevsky
6. Kaiming He
7. Ilya Sutskever
8. Diederik P. Kingma
9. L. Eon Bottou
10. J. Urgen Schmidhuber

Papers from Congcong Wen's perspective

Ordered by how strongly the researchers Congcong Wen 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. 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. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Et al
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• RSGPT: A Remote Sensing Vision Language Model and Benchmark (2023) — 325 citations
• A novel spatiotemporal convolutional long short-term neural network for air pollution prediction. (2019) — 386 citations