Yuhao Cui

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 588 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 122 citations into it; #12,924 of 21,575 by trust here, #6,206 by citations
• Artificial Intelligence — 104 citations into it; #20,761 of 35,345 by trust here, #8,706 by citations
• Multimodal Learning — 61 citations into it; #692 of 1,211 by trust here, #547 by citations
• Natural Language Processing — 41 citations into it
• Model Architectures — 24 citations into it
• Large Language Models — 9 citations into it
• Question Answering & Reading Comprehension — 9 citations into it; #163 of 335 by trust here, #75 by citations
• Optimization & Training — 8 citations into it

Whom Yuhao Cui trusts overall

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

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

Who trusts Yuhao Cui overall

1. Yen-Chun Chen
2. Linjie Li

Papers from Yuhao Cui's perspective

Ordered by how strongly the researchers Yuhao Cui 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. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
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

• Deep Modular Co-Attention Networks for Visual Question Answering (2019) — 996 citations
• Multimodal Unified Attention Networks for Vision-and-Language Interactions (2019) — 48 citations
• ROSITA: Enhancing Vision-and-Language Semantic Alignments via Cross- and Intra-modal Knowledge Integration (2021) — 60 citations