Weihua Chen

Computer Vision and Pattern Recognition · with Wang · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 331 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 168 citations into it; #18,415 of 21,575 by trust here, #17,258 by citations
• Artificial Intelligence — 148 citations into it
• Multimodal Learning — 47 citations into it
• Representation & Self-Supervised Learning — 33 citations into it
• Model Architectures — 31 citations into it

Whom Weihua Chen trusts overall

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

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

Who trusts Weihua Chen overall

1. Juan R. Terven

Papers from Weihua Chen's perspective

Ordered by how strongly the researchers Weihua 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
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

• DAMO-YOLO : A Report on Real-Time Object Detection Design (2022) — 355 citations
• Achieving Human Parity on Visual Question Answering (2021) — 24 citations
• CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation (2021) — 303 citations