Hui Qian
Computer Vision and Pattern Recognition · with Zhou · 2015–2018
A researcher in the Science corpus: 2 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 17 citations into it
- Optimization & Training — 14 citations into it
- Computer Networks and Communications — 11 citations into it
- Artificial Intelligence — 9 citations into it
- Computational Mechanics — 8 citations into it
- Mathematical Optimization — 5 citations into it
Whom Hui Qian trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Hui Qian's perspective
Ordered by how strongly the researchers Hui Qian 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Loosecut: Interactive image segmentation with loosely bounded boxes (2015) — 46 citations
- Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication (2018) — 60 citations