Qi Xie
Computer Vision and Pattern Recognition · 2015–2020
A researcher in the Science corpus: 5 papers; trusts 348 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 120 citations into it
- Computational Mechanics — 60 citations into it
- Artificial Intelligence — 58 citations into it
- Media Technology — 36 citations into it
- Optimization & Training — 24 citations into it
- Signal Processing — 14 citations into it
- Representation & Self-Supervised Learning — 13 citations into it
- Biomedical Engineering — 10 citations into it
Whom Qi Xie trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- E.J. Candes
- Alex Krizhevsky
- Zhouchen Lin
- David L. Donoho
- Geoffrey E. Hinton
- Kaiming He
- Diederik P. Kingma
- Yoshua Bengio
- Yann LeCun
- Ross B. Girshick
Who trusts Qi Xie overall
Papers from Qi Xie's perspective
Ordered by how strongly the researchers Qi Xie 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- Convolutional Sparse Coding for Image Super-Resolution (2015) — 347 citations
- Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision (2016) — 783 citations
- A Model-Driven Deep Neural Network for Single Image Rain Removal (2020) — 429 citations
- Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (2019) — 1,031 citations
- Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery (2018) — 313 citations