Hui Li Tan
Computer Vision and Pattern Recognition · 2020
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 — 7 citations into it
- Artificial Intelligence — 5 citations into it
Whom Hui Li Tan trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Ali Farhadi (in Computer Vision and Pattern Recognition)
- Roozbeh Mottaghi (in Computer Vision and Pattern Recognition)
- Abhinav Kumar Gupta (in Computer Vision and Pattern Recognition)
- Li Fei-Fei (in Computer Vision and Pattern Recognition)
- Ross B. Girshick (in Computer Vision and Pattern Recognition)
- Kaiming He (in Computer Vision and Pattern Recognition)
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
Papers from Hui Li Tan's perspective
Ordered by how strongly the researchers Hui Li Tan trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- AI2-THOR: An Interactive 3D Environment for Visual AI
- Going deeper with convolutions
- Target-driven visual navigation in indoor scenes using deep reinforcement learning
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge