Jiageng Mao
Computer Vision and Pattern Recognition · with Qian · 2023
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 20 citations into it
- Automotive Engineering — 18 citations into it
- Artificial Intelligence — 16 citations into it
Whom Jiageng Mao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Felipe Codevilla
- Geoffrey E. Hinton
- Sergio Casas
- Martin Treiber
- Kaiming He
- Alex Krizhevsky
- Ting-Li Chen
- Diederik P. Kingma
- Nicholas Rhinehart
- Chenyi Chen
Who trusts Jiageng Mao overall
Papers from Jiageng Mao's perspective
Ordered by how strongly the researchers Jiageng Mao 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- GPT-Driver: Learning to Drive with GPT (2023) — 449 citations