Chuhui Xue
Computer Vision and Pattern Recognition · 2022–2023
A researcher in the Science corpus: 2 papers; trusts 217 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 96 citations into it
- Artificial Intelligence — 42 citations into it
- Generative Models — 42 citations into it
- Representation & Self-Supervised Learning — 22 citations into it
- Statistical and Nonlinear Physics — 9 citations into it
Whom Chuhui Xue trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Yoshua Bengio
- Ross B. Girshick
- Yann LeCun
- Ilya Sutskever
- Karen Simonyan
- Jimmy Ba
Who trusts Chuhui Xue overall
Papers from Chuhui Xue's perspective
Ordered by how strongly the researchers Chuhui Xue 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Is synthetic data from generative models ready for image recognition? (2022) — 424 citations
- DragDiffusion: Harnessing Diffusion Models for Interactive Point-Based Image Editing (2023) — 375 citations