Jinlong Liu
Computer Vision and Pattern Recognition · with Han · 2021
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 18 citations into it
Whom Jinlong Liu trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Raquel Urtasun (in Computer Vision and Pattern Recognition)
- Binh Yang (in Computer Vision and Pattern Recognition)
- Ross B. Girshick (in Computer Vision and Pattern Recognition)
- Kaiming He (in Computer Vision and Pattern Recognition)
Papers from Jinlong Liu's perspective
Ordered by how strongly the researchers Jinlong Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)