Gen Luo
Computer Vision and Pattern Recognition · 2020–2022
A researcher in the Science corpus: 2 papers; trusts 317 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 95 citations into it
- Artificial Intelligence — 81 citations into it
- Multimodal Learning — 39 citations into it
- Natural Language Processing — 25 citations into it
- Model Architectures — 22 citations into it
- Evaluation & Benchmarks — 12 citations into it
- Representation & Self-Supervised Learning — 6 citations into it
Whom Gen Luo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Diederik P. Kingma
- Alex Krizhevsky
- Geoffrey E. Hinton
- Ross B. Girshick
- Yoshua Bengio
- Karen Simonyan
- Shaoqing Ren
- Christian Szegedy
- Ilya Sutskever
Who trusts Gen Luo overall
Papers from Gen Luo's perspective
Ordered by how strongly the researchers Gen Luo 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- 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