Xiangyu Xu
Computer Vision and Pattern Recognition · 2017–2021
A researcher in the Science corpus: 5 papers; trusts 508 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 171 citations into it
- Media Technology — 73 citations into it
- Generative Models — 31 citations into it
- Artificial Intelligence — 24 citations into it
- Optimization & Training — 13 citations into it
- Model Architectures — 12 citations into it
- Computational Mechanics — 9 citations into it
- Signal Processing — 5 citations into it
Whom Xiangyu Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- Yoshua Bengio
- Yann LeCun
- Jimmy Ba
- Rob Fergus
- Ilya Sutskever
- Karen Simonyan
Who trusts Xiangyu Xu overall
- Yongqiang Zhang
- Yancheng Bai
- Zhihao Wang
- Weihao Xia
- Runde Li
- Ming Ding
- Wenqi Ren
- Jin-shan Pan
- Jian Chen
- Bernard Ghanem
Papers from Xiangyu Xu's perspective
Ordered by how strongly the researchers Xiangyu Xu 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)
- 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
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results (2017) — 1,901 citations
- GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution (2020) — 302 citations
- Learning to Super-Resolve Blurry Face and Text Images (2017) — 223 citations
- Low-Light Image Enhancement via a Deep Hybrid Network (2019) — 460 citations
- BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment (2021) — 642 citations