Wen Gao
Computer Vision and Pattern Recognition · with Tian · 2009–2023
A researcher in the Science corpus: 2 papers; trusts 347 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 166 citations into it; #19,861 of 21,575 by trust here, #14,151 by citations
- Artificial Intelligence — 157 citations into it; #32,318 of 35,345 by trust here, #21,316 by citations
- Multimodal Learning — 87 citations into it
- Evaluation & Benchmarks — 28 citations into it
Whom Wen Gao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
- Andrew Zisserman
- Ilya Sutskever
- Ross B. Girshick
- Karen Simonyan
Who trusts Wen Gao overall
Papers from Wen Gao's perspective
Ordered by how strongly the researchers Wen Gao trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Group-sensitive multiple kernel learning for object categorization (2009) — 173 citations
- Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey (2023) — 326 citations